[FULL] Article 4, Volume 2 Issue 1

Justice: a sufficient condition for goal congruence in management control systems

Author

Natàlia Cugueró-Escofet – (IESE Business School)

Josep M. Rosanas – (IESE Business School)

Abstract

Control systems are a fundamental tool in the management process. Management control systems have been judged under the criterion of goal congruence, i.e., on whether the possible rewards given to people when they take specific actions benefit at the same time individuals and the organization as a whole. Often the concept of justice is not included in the analysis. In recent papers, some theoretical developments have shown that the concept of justice is essential to their dynamics, because it has the potential to change the attitudes of people towards the organization and, therefore, their interest in future decisions. But these developments have been essentially conceptual and have not attempted to go beyond theoretical terms. This paper, using a stylized example, tries to show how this framework can be applied in practice. It also attempts to clarify the concept of goal congruence, by distinguishing when it is merely quantitative or qualitative, and when it can be considered ‘ weak ‘ or ‘ strong ‘. Finally, it goes back to the conceptual model of Cugueró-Escofet and Rosanas (2013) and shows how the practical vision of this case adapts to the conceptual analysis offered in their framework, and draws some conclusions.

Keywords

1.        Introduction

The conventional theory of management control systems, primarily the one that focuses on performance evaluation of specific people and organizational units through a set of indices, has classically developed around the concept of goal congruence. The ideal of goal congruence is the property of a system where the evaluation and rewards are such that when people act to pursue their own interest, they are at the same time acting in the best interest of the organization. Although we will analyze the concept in more detail below, starting with the intuitive ideas we may say that when referring mainly to quantitative indices and results, the usual textbook conclusion is that, at the end, in most situations, a perfect alignment does not exist. Performance indices or indicators are in this context often called “metrics”, just to give the impression that they consist of precise measures that enjoy nice mathematical properties. Unfortunately, they do not, so this very popular name is actually a misnomer; and as we will see, qualitative variables have to be taken into consideration for a good solution to exist.

However, when management control systems was just starting, back in the 60’s of last Century, some scholars (mainly Richard Vancil, of the Harvard Business School) already considered that it was crucial that quantitative goal congruence should be complemented with the criterion of fairness, which might even be the first priority criterion (Vancil 1973). Fairness, from a practical point of view, was at that time taken to mean the classical concept of controllability: people and organizational units should be evaluated with indicators that reflect variables over which they can exert some control, and therefore are not the result of chance, of what others do, or of general economic conditions. In the 80s, another Harvard professor made fairness the focal point of transfer pricing, one of the thorniest issues in the management control area (Eccles 1983, 1985).

Fairness and justice are quite obviously related, and sometimes used interchangeably, even if some recent literature has tried to conceptually distinguish between the two (Cropanzano and Goldman 2014, Cugueró-Escofet and Fortin 2013). The word justice has seldom appeared in the accounting literature, except lately in conceptual studies of a rather abstract character. In two recent papers, for instance, Cugueró-Escofet and Rosanas (2013, 2015) attempt to study justice in control systems thoroughly, by establishing the distinction between informal and formal justice and incorporating both as the key elements that must be part of the design and the use of management control systems in order to achieve maximum levels of goal congruence. Theirs, therefore, is an approach that links justice with the possibility that the goals of the company and the goals of its executives are aligned to some degree.

Nevertheless, these studies, like some others, have not dealt with the practical issue of how justice can be introduced specifically, and this is by no means a trivial task. There is empirical evidence that certain aspects of justice perceptions relate to management control systems (see for instance Coletti et al. 2005, Hartmann and Slapnicar 2009), but these studies are not based on a conceptual analysis of justice in the context of management control systems. Also regarding practical implications of implementing justice in management control systems there is little evidence regarding core constructs (i.e. goal congruence), except from some studies that link some management control system characteristics to the reduction of unethical behaviors through the improvement of fairness perceptions of these systems (Langevin and Mendoza 2013). Therefore, the application of the framework suggested may become quite difficult. The aim we pursue in this paper is precisely to initiate the study of how a conceptual framework of justice can be applied in business practice. We therefore ask how this conceptual framework, that has been theoretically developed, can be put into practice, i.e., how do we go from rigorously derived concepts of justice to accounting numbers and performance evaluation practice. In order to do this, we will base our arguments on a case study that represents a prototypical situation that is fairly common in many companies (mainly multinationals), so that it can be seen to be realistic and easily applicable. Thus, we do not attempt to generalize from our case (which, incidentally, as stated below, is a composite of real world cases), but just to explore how the abstract ideas developed by Cugueró-Escofet and Rosanas (2013, 2015) can be put into practice in specific situation.

We will proceed as follows: we will first elaborate on the concept of goal congruence, explaining the types of goal congruence and the relative importance they could have in terms of aligning in the long term managerial decisions with organizational objectives. Second, we present a specific case where a situation of justice and goal congruence exists. Finally, we conceptually develop the idea that informal justice is sufficient to achieve a sustainable level of goal congruence that could reach a maximum level and include qualitative aspects.

2.        Goal congruence and its possible types

 As mentioned before, the concept of goal congruence has historically been considered a central concept of management control systems theory. Anthony, in one of the key books of the area, defined management control as the process by which “managers influence other members of the organization to implement organizational strategies” (Anthony 1988,  p.10). In order to do that, this influence should occur in a way that when managers pursue their own self-interest, they will do it in a way that they take at the same time those actions that are the best for the organization as a whole. This property of the system is what Anthony called goal congruence.

However, goal congruence is not a static property of the formal system that remains constant. On the contrary, it may change through time with several possible factors: the general economic circumstances, the evolution of the industry and the competitors, the internal strategy and structure of the firm, and the attitudes of employees towards the organization, just to name a few. Actually, many of these factors originate in the fact that all agents, whether they want it or not, learn through time, and therefore change their decision rules and their behavior in general.

In any interaction between two people (boss and subordinate, customer and supplier, stockholder and administrator, to just mention a few of them), the two of them typically want to obtain a specific external result (sales, profit, a new facility, a new organizational structure, etc.). Nevertheless, inevitably they will modify their information, their beliefs, their skills and their attitudes as the result of the interaction. That is what we mean by learning. Thus, learning is not limited to the accumulation of knowledge or increasing one’s ability to perform certain tasks. It includes these conventional, well-known forms of learning, as well as implicit learning, non-transferable knowledge embedded into the agents that take part in the actions, and even changes in their attitudes towards each other (Polanyi 1974, Rosanas 2008, 2013).

The justice associated with the structure of the control system and its use heavily influences these last types of unconventional learning. Whether employees feel they are being treated justly or unjustly by the organization is a crucial element in their future attitudes towards that organization: if management is unjust in decision-making, this is likely going to produce adverse reactions that may seriously affect negatively the company in the future.

However, this is not the only reason why justice is important: justice is a virtue, and so, since ancient philosophy, most people consider that “being just” is what they should do. Aristotle  already said that there is learning from this point of view too: when a person acts justly, becomes just; and when acting unjustly, becomes unjust (Aristotle 2000,  Book V). Socrates considers that being just is concerned with happiness whether being unjust with the opposite state of the soul  (Plato 2006,  Book I). In our context, a substantial part of actions that are just or unjust within an organization has to do with its management control system: both the goals set through the system and the evaluation and rewards that stem from them are crucial in people’s perception of justice (Langevin and Mendoza 2013).

Goal congruence plays an important role in this context, and it is important to distinguish between different versions of it. First, goal congruence can be considered to take into account quantitative variables only, or to include qualitative variables as well. Cugueró-Escofet and Rosanas use a concept that includes mainly the latter; but often goal congruence is analyzed with respect to the quantitative variables, even to the exclusion of the others. For instance, the typical textbook treatment of this issue is somewhat paradoxical: on the one hand, they often devote a chapter to motives other than the purely financial ones; but on the other, the analysis in the rest of the chapters is essentially based on the financial variables. Then, the goal congruence is purely quantitative. This is what happens in the typical situation between the company and one of its divisions: the textbook analysis consists in ascertaining whether the company’s profit (or contribution margin, or any other alternative financial variable) goes in the same direction as the similar variable of the division (see, for instance Anthony and Govindarajan 2003, Merchant and Van der Stede 2007, Simons 1999). If it is, this is considered enough of a reason to tie the monetary incentives of the people in charge of the division to the corresponding divisional financial variable. Obviously, simplifying the whole problem to its quantitative, financial dimensions is a serious reductionism: people’s motives are much broader, as the chapter on the subject of all these books rightly state, even if this is not further developed later on.

Nonetheless, even if for some purposes we take only the quantitative variables into consideration, there is an aspect that is often forgotten: it may not only be a matter of the divisional and the firm-wide variable pointing towards the same direction: the two variables may have substantially different values, perhaps even different orders of magnitude. Suppose, for instance, that a division of a firm is a profit center (and, thus, is evaluated on its gross profit), and the same is true for the firm as a whole. Further assume that the firm has a transfer pricing system by which Division A, which is working below capacity sells Product X to Division B at a transfer price which equals its variable cost plus 5 %. Division B, which is also working below capacity, processes the product further and sells it with a contribution of 40 % the selling price. The cost to Division B of Product X is 21 % of the selling price; thus, the total contribution to the firm is 41 % of the selling price. Then, there is quantitative goal congruence between each one of the divisions and the company as a whole: in both cases, accepting a new order will result in an increase of profits both for the divisions and for the company as a whole. But the magnitude is quite different: the contribution for Division A is only 1 % of the selling price, the contribution to Division B is 40 %, and the contribution for the firm as a whole is 41 %. Whenever this happens, it may look a little bit unfair from the beginning, but we must hasten to add that whether it actually is unfair or not depends on many circumstances (for instance, the real contribution to the sales volume of each division). In any case, the quantitative goal congruence between the firm and Division B is of a similar magnitude, while that between the firm and Division A is 41 times bigger. We will then say that there is weak goal congruence between Division A and the firm as a whole, and strong goal congruence between Division B and the firm.

In theory, a profit maximizer would make the same decisions no matter whether goal congruence is weak or strong (or, in practical terms, the same for a cent than for 100 €) but we know that in practice this is not true. Therefore, if we take into account qualitative variables, it may happen that a situation that was originally goal congruent may become goal incongruent. If, at some point in time, because of any reason, it turns out that manufacturing an order of Product X requires a lot of ‘effort’ from Division A, Division A may decide not to do it, thereby originating a big opportunity loss to the firm as a whole. Qualitative aspects are therefore crucial to understand managerial motivations, and to influence people to take one or other decision.

This would not happen with Division B except under very exceptional circumstances. If Division B decides not to manufacture the final product because of other qualitative variables are very important and the 40 % contribution is not enough to compensate for them, it is very likely that the same argument can be applied to the firm as a whole, making then the decision optimal.

Obviously, we can reason similarly with quantitative goal incongruence. Suppose now a different situation where the decision to be made is goal incongruent between the firm as a whole and Division A, but the incongruence is weak. Division A may be willing to make the effort to say ‘yes’ for the sake of the company as a whole, even though its profits will decrease: the loss is not so important. Division A may think, though, that the system is unjust; but precisely, this is what we want to examine in more depth in this paper. A manager may decide against his short-term interests because the company will earn a lot, and believes the boss above will recognize his effort, and that this effort would pay in terms of recognition, and expecting that in the long-term these types of situations will even out. However, if the loss of the division is large, the manager may not want to accept and simply ‘adapt’ to the rewards implied by the formal control system, thus making the wrong decision for the firm as a whole. Such a manager would have an excellent excuse: he simply adapts to the formal control system of the firm. Nobody can deny that. However, it is obvious that the consequences are not that good now, and in the long-term they may become worse.

So in summary, we distinguish between purely quantitative goal (in)congruence that affects only quantitative variables, and qualitative goal (in)congruence in case it also incorporates qualitative aspects. Quantitative goal congruence may then be weak or strong depending on the relative magnitude of the gains or losses each party makes.

The purpose of this article, as we stated earlier, and now we can reaffirm, is to show how the notion of (mainly informal) justice and its application in the management control process, can solve problems that normally mere quantitative goal congruence cannot solve, mainly if it is weak. In fact, informal justice is indispensable in any context where qualitative variables are important. We also stated that at an abstract level of analysis, this problem has been studied in some depth, even if different types of goal congruence were not distinguished, and more over these analyses do not include how to apply this in practice. We will now see in the context of a specific case how the distinction between formal and informal justice is crucial for that purpose. We will do this by illustrating our arguments in the context of a case that actually is a combination of real-world cases, although we have simplified them to some extent.

3.        Case Blogisar

The company Blogisar is a large company with several divisions each of which produces and sells specific products, mainly chemicals. One of them is exclusively produced in a plant originally established in Germany, while selling it throughout the whole Western Europe. The plant was considered a profit center, i.e., its managers were evaluated according to the profits obtained. This practice was working smoothly and without special trouble, beyond the usual problems that a profit center can have, since it did not compete with any other division.

In 1998, the market of Eastern Europe promised to be important for its product, and as the Southern market grew as well, the company decided to increase capacity. Top management then made the decision to renew the main factory in Germany, and build a new plant in Tarragona to manufacture and sell this product. The facilities that were installed in Tarragona were the original German ones, which were in very good condition. The new German plant was of a much greater capacity in order to accommodate for the expected future growth in demand, even if the initial capacity installed greatly exceeded the estimated short-term demand. The company expected that in the coming years demand would increase and this would justify the additional capacity investment.

The installed production facilities in Tarragona would serve to supply the market in Southern Europe. Since the product was not differentiated, the variables that determined profitability were essentially managing sales, costs, and capacity management. Already planned from the beginning, the plant in Tarragona worked virtually at a full capacity; and for that reason in case of needing more product, it would be possible to import product from the German Division that as mentioned, initially was manufacturing with an excess capacity.

The Tarragona division had from the beginning a demand higher than that originally expected, and in only a few months, they were working at capacity and had to import some amount of product from Germany. They thought it was conceivable that in some specific orders Germany might use product manufactured in Tarragona, but if this happened it would be only in small amounts and for brief periods of time.

The cost system of the German division allocated fixed costs to the product units based on the total capacity of the plant, as it is customary in many activity-based cost systems. The immediate accounting consequence was that from the beginning a volume variance was budgeted (the cost of unused capacity), that was unfavorable and already included in the budget, which of course it affected the income of the German division, and therefore the whole company.

From the beginning, the company decided that if the German division was evaluated on divisional profits, for the division in Tarragona they should do the same. When transfers started from Germany to Tarragona, they decided they would be valued at standard total cost, with a full allocation of fixed costs in Germany. The top management team of the company believed that this was ‘fair’ and eliminated the need for a transfer pricing system.

Nevertheless, it was not long after Tarragona started its operations that some problems begun to appear. The budget of the German Division included a ‘budgeted volume variance’, because they knew that, for a number of years, they would not be able to be at full capacity and did not want to ‘blame’ the tons actually produced for the fixed costs of the plant. This budgeted volume variance, of course, was calculated taking into account the expected demand from Tarragona. The problem arose when Tarragona actually ordered from Germany less units that it had budgeted. Then, Germany had an actual volume variance that was higher than expected because of decisions made in Tarragona. It then seemed that something was wrong with the system: it was pushing Tarragona to do something that is ‘bad’ for Germany.

Tarragona preferred to produce internally as much as possible, because of two obvious reasons. First, the variable costs in Tarragona were less than the variable costs in Germany. And second, it did not have to pay for the fixed costs that the German division charged for each ton. Tarragona already worked at full capacity; so, its fixed costs were already absorbed at their level of production and current sales. Indeed, it had a favorable volume variance. Tarragona had been particularly good at increasing actual capacity, through better production scheduling, efficient maintenance and improvement of their own methods. Therefore, even though they had planned to order a number of tons from Germany, the actual number was less, because they had ‘squeezed in’ some additional production in their plant. The consequence was an unexpected volume variance and an accounting loss for the German Division.

Let us be more specific and look at some of the main numbers. The total fixed costs in Germany were 70.000.000 euros and estimated capacity was 100,000 tons so the fixed cost per ton was about 700 euros. The total fixed costs in Tarragona were 31,000,000 euros and estimated capacity was 50,000 tons, so the fixed cost per ton was 620 euros. In Germany the variable cost was 410 euros per ton and in Tarragona was 390 euros, so the difference is small but significant. Both fixed costs and variable costs of Tarragona were lower than those of Germany due to the lower cost of labor, to the fact that raw materials for the Spanish market had a lower price and finally because of the high costs of land and facilities in Germany.

So, with these figures let us next examine what the right decisions should be and to what extent the system is goal congruent.

4.        The quantitative objectives of Blogsiar and its divisions

Let us first examine the objectives of Blogisar as a whole. We will restrict ourselves to the main quantitative variables, because including other qualitative variables would require a much deeper analysis for which we have no space. Then, from this point of view, what Blogisar wanted was profit, growth and profitability with a good quality product.

The decision to expand capacity in Germany and to build a plant in Tarragona has to be seen in this context. Then, taking these general objectives as given, we can easily derive the objectives that the two divisions should try to accomplish. The objective of Tarragona should be to sell as much as possible, importing from Germany if necessary, and to produce as efficiently as possible, keeping costs controlled and preserving quality. In contrast, the German division objectives had to put more emphasis in increasing sales, because real profitability had to be based on full utilization of capacity as soon as possible in the future. This would be done, obviously, with efficient operations and by keeping costs as low as possible as well.

5.        The current formal control system: profit enters

At the origin of the problem was the decision to make the two divisions profit centers. It is often argued that profit centers in independent divisions favors decentralization, because if every division acts as an independent firm, the profit of that division will be the same as the profit the division adds to the company as a whole, therefore producing strong quantitative goal congruence. The main problem with profit centers is of course the possible existence of interdependence between the divisions, mainly what was called by Thompson (1967) ‘sequential interdependence’, which calls for transfer pricing. Sometimes, naïvely, some companies try to avoid the problem by transferring products ‘at cost’, but cost (variable or full, and with or without a mark-up) is simply an implicit transfer price, in the sense that it determines what part of the profit goes to every division. As we will see, this is a crucial problem at Blogisar.

Quantitatively, the problem is rather simple. As stated above, Tarragona prefers to manufacture itself if possible, because if it imports from Germany, the ‘transfer price’ is the full cost for Germany, i.e., 1,110 €/ton, while the variable cost of manufacturing is only 390 €, with a difference of 720 €/ ton going directly to its income statement. For Blogisar as a whole, the cost of manufacturing in Germany is 410 €, and in Tarragona of 390 €, so it is better to manufacture in Germany, but with a difference of only 20 €/ton. Then, from this point of view, we may say that there is weak goal congruence.

The problem is, then, in Germany: they ‘lose’ a 720 € contribution because Tarragona is able to manufacture more. Blaming them (and affecting their possible incentives) for that decision is clearly unjust, and it will be so perceived by the German Division. It would seem, then, that there is some problem of goal congruence between the two divisions or between the German Division and the Tarragona Division. But, as we have seen, the Tarragona decision of increasing production ‘beyond full capacity’ was a good one for the company as a whole: there was weak goal congruence. A centralized planner, if given the choice, would decide to produce in the plant where the costs are lower, i.e., Tarragona.

Then, the problem is essentially one of justice: the German Division is formally treated unjustly because in its evaluation there is a big uncontrollable element, like the demand from Tarragona. Often, when this happens, firms have the temptation of changing the structure of the system. For instance, the German Division may argue that it should not be treated as a profit center, but possibly as a cost center, evaluated on standards, budgets, and variance analysis. However, this would make things only worse: the German Division would not have in its evaluation any incentive (tangible or intangible) related with a possible increase in sales, which to some extent should be its priority objective. A ‘composite’ index weighting, say, cost variances and sales growth is likely to have dysfunctional consequences that were well-known more that a half a century ago (Ridgway 1956), but that seem to have been forgotten today. Measuring profit only for the two divisions as an aggregate and making thereby a unique profit center would clearly be unjust with the Tarragona Division, which is doing just fine, and, thus, would have to be charged the German volume variance.

The structure of the control system is, then, formally unjust, but the alternatives could be much worse. Is there, then, any solution to such a problem?

6.        The sensible solution: informal justice

A formal solution does not exist in many problems, and the stylized case we have presented here is a clear example. The solution, therefore, can only come through informal systems, and from the informal justice that they can generate. If a strictly formal structure could create goal congruence alone, the process of control and setting specific targets would not be necessary at all. If they are necessary, to a great extent, it is because it is important to evaluate the performance of individuals and the responsibility centers as a function of what can be reasonably expected, and this is what is normally reflected in the budget. Then, the ‘boss’ should evaluate the two divisions, but mainly the German Division in this case, through an elaborate variance analysis of the income statement, including of course the bottom line and many intangible factors. To which the boss should add a personal, informal (and thus subjective) evaluation of to what extent the variances are controllable or uncontrollable by the division. From this, it might follow a tangible or an intangible incentive. Again, it is informal and subjective. Which today it is often considered to be an undesirable property, thereby forgetting that management is by its own nature inevitably subjective.

The informal evaluation, thus, cannot be done with preset formulae, but we can suggest here that, in our case, a good starting point would be to add to the profit of the German division the unexpected deviation in volume created by the Tarragona division. One has to recognize, though, that it may be difficult to determine this with precision. For instance, it will never be obvious to what extent the German division may be partly responsible for the unexpected volume variance. These evaluations are necessarily subjective: quantitative indices fall short when we face a multiplicity of circumstances.

One more point about the general impossibility of formally just control systems. Both internal and external circumstances change through time, and a system that is formally just today may be formally unjust tomorrow and vice-versa. So, stable goal congruence through formal systems may be impossible to achieve. They would have to be changed every so often. In the case we presented, we showed how goal congruence for the Tarragona Division was weak; hence, a relatively small change in the prices of the variable costs may make it become incongruent, although this was very unlikely to happen in the real case. In any case, changing the system every time this happens might be extremely costly. In summary, attempting to fix a goal congruence/justice problem through formal changes in the system may well be impossible; but, if it is not, it may be very impractical.

7.        The invisible variables and informal justice

 Implicitly or explicitly, in situations like the one in our case, some intangible variables are important: not everything ends with monetary incentives, of course. For instance, pride in one’s own work: the manager of the German Division will never like showing a loss in its accounts, mainly when Tarragona is showing a substantial profit. No matter what the incentive is, and no matter how other variables are evaluated.

In the context of our example, one crucial point is a technical one: the reason why the problem arises is because of an unexpected volume variance, which is a technical accounting issue not entirely easy to understand. The manager of the German Division may not be a well-trained person in accounting matters; and the same may be true for the ‘controlor’, i.e., line officer in charge of the German Division at the top management level. However, dealing with this situation with informal justice requires a good understanding on both parts of the technical problem that they have. Why is there a problem and how it cannot be formally solved is something both parties have to understand and show each other that they do. If not, the possible informal solution will be only cosmetic or superficial, like “a pat on the back” lacking substantive content. 

The controller may have to play a fundamental role. Often, a controller is attributed functions that should not have, like being the person that controls and makes the decision as to what control action is adequate. In contrast, a crucial function of this person is to give technical assistance to both ‘controlor’ and ‘controlee’ and to help them understand the situation. The head in the hierarchy must want to understand the relevant issues and the controller must be able to make a sufficient explanation to him. The subordinate who sends the results expect that the person in charge of the division understands in depth what is happening with the numbers, to perceive that there is justice in the treatment received. And this perception, if it is real and not just a impression management issue, is the element needed to re-establish the justice that the formal system alone cannot possible offer in such a complex situations.

Then, of course, the controlor has to make a decision about the controlee’s possible rewards, including perhaps a monetary incentive outside the formulae, and/or perhaps a promise of a future incentive whenever some goal is met. It will be the controlor’s decision. But basically, she has to have in mind justice.

This proposal goes in the opposite direction of many of the recent developments in this area of research. In recent decades, there has been a trend toward formal systems of incentives based almost exclusively on formal systems based on indicators, under the name of “metrics”, “KPI’s” and so on, where the concern for justice is completely absent (see, for instance, Kaplan and Norton 1996,  a thick book on the subject where the word ‘justice’ does not ever appear). There is only a concern for ‘objectivity’ as something absolutely necessary and incentives to push people in the direction that is considered good for the firm through some indices that are supposed to reflect strategy. Here we present the opposite point of view: we have shown that justice is important both because it has effects on the future and because is an ethical concept that, but there are situations in which justice can only be effectively introduced informally. Which necessarily implies subjectivity. That is why, we would finally end this analysis using the conceptual model on which we base our case, that is included in the work of Cugueró-Escofet and Rosanas (2013, 2015).

8.        Conceptual Analysis

As mentioned above, this case exemplifies the possibilities offered in a formal model of control systems that incorporates organizational justice. In their article, Cugueró-Escofet and Rosanas (2013) show the existence of four states of goal congruence depending on whether there are the prerequisites of formal and informal justice in the management control system design and use. The authors consider formal justice as those requirements that create justice through the design of a control system and informal justice those requirements that create justice through the use of control systems. The two extreme cases are the maximum goal congruence (where there is formal and informal justice), and the minimum goal congruence (where there is neither formal nor informal justice). These two situations tend to be stable and the case of maximum congruence of objectives typically is a case of excellence, where the managers use control systems consciously and with justice. The goal congruence concept analyzed includes qualitative variables, i.e. there are elements that escape traditional quantitative measures that are typically used to assess whether or not there is goal congruence.

The two most interesting states proposed in their analysis are the perverse and the occasional goal congruence. Perverse goal congruence occurs when the system is designed according to the criteria of formal justice, but the use of the system is unjust. This case is unstable because the managers with their decisions create perceptions of unfairness and therefore this may end up transforming the system into an formally unjust one, and thus goal congruence would go to a minimum goal congruence. The second intermediate case would be that of occasional goal congruence, where the system is formally unjust but the manager uses the system with informal justice. This case is interesting because it illustrates the importance of the managerial action. While the system is used, unjust situations were created and the manager tries to correct the consequences informally. At the same time the manager tries to change the system, through managerial action into a more formally just system. Therefore, in the long term this system will end up having a situation of maximum goal congruence of objectives, because it is the normal trend when the formal justice is improved though the just use of the system.

The case we presented in this paper starts with weak quantitative goal congruence, and illustrates the situation quite well. Looking at the four possibilities of goal congruence that were offered in the conceptual model, we could say that the case presented it is a case where formal justice is not possible from the beginning. Given the objectives of the firm as a whole and the objectives of the two divisions, a maximum goal congruence of a quantitative character cannot be achieved. However, it can be developed by applying informal justice of a qualitative nature into the evaluation; which will be helpful in achieving the key-variables of the German division. Whenever this happens, specifically, it is when sales achieve a level that is high enough. Then the volume variance and the internal sales will lose importance and the structure of the control system will be just, having then the possibility of reaching maximum goal congruence if management acts with informal justice.

In addition, the situation presented in the case may illustrate a situation that is particularly interesting in applying the model of Cugueró-Escofet and Rosanas. Will the situation of maximum goal congruence, if it is reached, be stable? In theory, if circumstances do not change, yes; but if there is a change either in the environment (for instance, in the key variables) or within the firm (a change of strategy or structure), the new situation may again be formally unjust. Maximum goal congruence may thus not be stable because it cannot incorporate all the possibilities for the future. Inevitably, the formal system may end up generating injustices. Inevitably, therefore, the maximum goal congruence will be qualitative, and always through the occasional goal congruence, when the manager is aware that it is not possible to achieve maximum goal congruence only based on quantitative variables, and so she is informally just. In this sense, we suggest that this is a limitation of this model that still makes more evident the need for informal justice: not just to reach stable maximum goal congruence, but to compensate for a situation where stable formal justice is not possible, and it makes more necessary an intense managerial action. In any case, the stability of a maximum goal congruence situation under internal or external changes remains open to question and suggests further research on the matter.

9.        Conclusions

This paper has attempted to show how, even though there are situations where it is impossible to design a formally just management control system, informal justice may be a sufficient condition for the management control problem to have a solution. For this purpose, we have presented a stylized situation, based in a composite of real-world cases, where it is clear that a design of a formal control system that promotes the achievement of the key economic variables of the firm and is formally just at the same time it is not possible. Then, if we focus the system on the achievement of the key economic variables, and therefore is formally unjust, the solution to the problem on injustice should come from the informal system. Using the system in a way that is informally just will lead to two types of (complementary) outcomes. First, in the short-run, we can obtain a situation that is just, and because of that reason can be perceived as fair by the employees evaluated by the system (in the terminology of Cugueró-Escofet & Rosanas, there is occasional goal congruence), with the positive consequences in terms of morale and employee identification that we often associate with justice. This conclusion can be generalized independently of the key variables present in the case, because this is a result of Cugueró-Escofet and Rosanas’ model. Second, in the long-run, when the objectives in terms of the key variables start being met, the formal control system that was unjust will become less and less so: whenever the German Division reaches capacity (or gets close to it), the system will not be formally unjust anymore. This conclusion may not be so easily generalizable in all the cases, because it would depend on the key variables present in every specific situation. Therefore, according to Cugueró-Escofet and Rosanas (2013, 2015), in a formally just system governed with informal justice at the same time, the organization will then achieve maximum goal congruence, which should be a stable situation. Of course, this does not mean that it will remain in that state forever: there may be many reasons (internal or external) why this might change, and the organization should be able to respond to them adequately. A detailed examination of why this might happen, and how the organization should be able to respond, unfortunately exceeds the objectives of this paper, and thus becomes a possible line of further research.We believe that these conclusions are far-reaching. All human beings want to work in an environment that is just (or, to be more precisely, that is perceived ad “fair”), but the literature on management control systems typically ignores justice as a property of the system. Beyond the general idea that the systems should be just, we have illustrated how this can be done in practice, following the analysis of Cugueró-Escofet and Rosanas (2013, 2015). We hope that our contribution can influence both academicians and practitioners to take justice and fairness into account. This would at the same time improve the results of the firm and satisfy the motives of the members of the organization, which according to one of the Management Classics, Chester Barnard (1938) is one of the crucial variables for organizational survival in the long run.

References

Anthony, R. N. (1988). The Management Control Function. Boston, Massachussets: The Harvard Business School Press.

 

Anthony, R. N. & Govindarajan, V. (2003). Management Control Systems, 11th Edition. Homewood, Illionois: Richard D. Irwin.

 

Aristotle (2000). ‘Nicomachean Ethics.’ The Internet Classics Archive by Daniel C. Stevenson.

 

Barnard, C. I. (1938). The functions of the executive. Boston: Harvard University Press.

 

Coletti, A. L., Sedatole, K. L. & Towry, K. L. (2005). ‘The Effect of Control Systems on Trust and Cooperation in Collaborative Environments.’ Accounting Review: 477-500. American Accounting Association.

 

Cropanzano, R. & Goldman, B. M. (2014). ‘”Justice” and “Fairness” are not the same thing.’ Journal of Organizational Behavior, 36:2, 313-18.

 

Cugueró-Escofet, N. & Fortin, M. (2013). ‘One Justice or Two? A Model of Reconciliation of Normative Justice Theories and Empirical Research on Organizational Justice.’ Journal of Business Ethics, DOI 10.1007/s10551-013-1881-1.

 

Cugueró-Escofet, N. & Rosanas, J. M. (2013). ‘The just design and use of Management Control Systems as requirements for Goal Congruence.’ Management Accounting Research, 24:1, 23-40.

 

Cugueró-Escofet, N. & Rosanas, J. M. (2015). ‘Social dynamics of Justice: The Ex-ante and Ex-post Justice Interplay with Formal and Informal Elements of Management Control Systems.’ In D. D. S. Stephen W. Gilliland, Daniel P. Skarlicki (Ed.) Social dynamics of organizational justice. Charlotte, NC: Information Age Publishing.

 

Eccles, R. G. (1983). ‘Control with Fairness in Transfer Pricing.’ Harvard Business Review, 72:6, 146-61

 

Eccles, R. G. (1985). The transfer pricing problem : a theory for practice. Lexington, Massachussets: Lexington Books.

 

Hartmann, F. & Slapnicar, S. (2009). ‘How formal performance evaluation affects trust between superior and subordinate managers.’ Accounting, Organizations and Society, 34:6-7, 722-37.

 

Kaplan, R. & Norton, D. (1996). The Balanced Scorecard: Translating Strategy into Action. Boston Ma: Harvard Business School Press.

 

Langevin, P. & Mendoza, C. (2013). ‘How can management control system fairness reduce manager’s unethical behaviors?’ European Management Journal, 31, 209-22.

 

Merchant, K. A. & Van der Stede, W. (2007). Management Control Systems: Performance Measurement, Evaluation and Incentives. Prentice Hall.

 

Plato (2006). The Republic. New Haven: Yale University Press.

 

Polanyi, M. (1974). Personal Knowledge: Towards a Post-Critical Philosophy. Chicago, Ill: University of Chicago Press.

 

Ridgway, V. F. (1956). ‘Dysfunctional consequences of performance measurements.’ Administrative Science Quarterly, 1:3, 240-47.

 

Rosanas, J. M. (2008). ‘Beyond Economic Criteria: A Humanistic Approach to Organizational Survival.’ Journal of Business Ethics, 78, 447-62.

 

Rosanas, J. M. (2013). Decision-Making in an Organizational Context. Beyond Economic Criteria. Houndsmills, Basingstoke, Hampshire: Palgrave Macmillan.

 

Simons, R. (1999). Performance measurement and control systems for implementing strategy. Text an cases. Englewood Cliffs, NJ: Prentice-Hall.

 

Thompson, J. (1967). Organizations in Action: Social Science Bases of Administrative Theory. New York: McGraw-Hill.

 

Vancil, R. F. (1973). ‘What kind of management control do you need?’ Harvard Business Review.

[FULL] Article 3, Volume 2 Issue 1

Analysis of the cash flow statement’s usefulness: an empirical study

Author

Núria Arimany-Serrat – (Universitat de Vic)

Carme Viladecans-Riera – (Universitat de Vic)

Abstract

The basic purpose of this research is to determine the relevance of the cash flow statement (CFS), also known as statement of cash flows, for analysing a company’s financial statements. This has been done by means of an empirical study, showing that, in order to undertake a comprehensive analysis of the company’s equity, economic and financial situation, it is essential to study and analyse the CFS. An experimental study was carried out with students taking a Business Management and Administration degree at Universitat de Vic as well as students on the Accounting and Finance course at Universitat Autònoma de Barcelona, using data from the retail company Mercadona S.A. The ensuing conclusions allow us to state that the CFS is an indispensable document when it comes to undertaking a comprehensive analysis of the company’s financial statements, given that it provides very useful information concerning the company’s short-term financial situation and its investment and financing activity.

Keywords

1.        Introduction

Financial statement analysis is a discipline that, applies specific techniques and tools to financial statements in an attempt to explore and to determine which causes have led an organisation to its present situation. By applying specific techniques, it also tries to make forecasts with the least possible risk with the ultimate aim of providing useful information that will help managers to take the right decisions that will guarantee the organisation’s equilibrium in the future. Financial statement analyses are based on external information, which whenever possible should be supplemented by data provided by managerial accounting. The Annual Statements (AS) constitute the backbone of this external financial information, the minimum information that is required in order to carry out this type of analysis. Over the years Spain has had to adapt its accounting regulations in order to bring them in line with international  standards and this has brought about a very important change that culminated in the publication of the Spanish General Accounting Plan in November 2007 (PGC07), which presented us with different annual accounts to the previous Plan, consisting of five documents: the Balance Sheet, the Profit and Loss Account, the Yearly Report, the Statement of Changes in Net Worth (SCNW) and the Cash Flow Statement (CFS). Although the former three documents were already featured in the Spanish General Accounting Plan of 1990 (PGC90), they have undergone very significant changes in the new plan. The new documents that were incorporated in the new accounting plan are: the Statement of Changes in Net Worth and the Cash Flow Statement.

The basic aim of this research was to determine the relevance of the CFS for analysing the accounts by means of an empirical study, in order to demonstrate that in order to carry out a comprehensive analysis of a company’s equity, economic and financial situation we need to study and analyse the CFS. An experimental study was carried out with students taking their Business Management and Administration degree (ADE) at Universitat de Vic (UVIC) and Accounting and Finance degree (CIF) students at Universitat Autònoma de Barcelona (UAB), using the data of a retail company, and more specifically from the company Mercadona, S.A. corresponding to the financial years 2008, 2009 and 2010.

The research we carried out has enabled us to conclude that the CFS is an essential document for analysing the accounting statements and that its study supplements the information obtained from the other statements that make up a company’s annual accounts. Furthermore, we also found that the economic activity is a relevant factor when studying the CFS and hence that in the case of companies that have “cash terms” for the collection of their invoices (a cash collection period), it is essential to study the CFS in order to find out what the company’s short term financial situation really is, as well as certain aspects connected to its investment and financing activities. The findings of the experimental study showed that the students from the control subgroup (subgroup that did not have the CFS) were not able to determine what the company’s short term financial situation really was, whereas the students in the experimental subgroup which had the balance sheet, the profit and loss statement and the CFS were able to do so.

The findings of this research study aim to contribute to the more frequent use of this document by the different users of accounting and financial information in taking economic decisions. There has been a lack of tradition in Spain until now in drawing up these kinds of documents and in using the information contained in the SSAF (Statement of Sources and Application of Funds) for economic decision making.  This was demonstrated by the study carried out by Ansón et al (1997) using a series of questionnaires filled in by financial institutions in the  Autonomous Community of Aragon, as well as by the empirical study carried out by Martinez (1993), on a sample of auditors-chartered accountants. Consequently there is a real need to demonstrate the relevance of the information obtained from studying and analysing the CFS, with the aim of improving and arguing in favour of using the CFS for decision making. The different users of financial information should and need to become aware of the importance of using the CFS in order to find out the real state of a company’s affairs and more specifically, to find out aspects linked to the company’s short term financial situation, in order to know whether the company is in an expansion or growth phase so as to have information concerning the changes in its financial policy, and to find out aspects related to the company’s dividends policy.

2.        Literature review

 The use of Statements of Sources and Application of Funds (SSAF) by different types of users has prompted a series of studies related to the information contained in these documents. Some of these studies focus on looking into the different properties of measurements based on accrual as opposed to measurements based on cash flow criteria, basically in order to make predictions concerning future cash flows and the company’s insolvency.

Among the studies that research the preference for a particular type of variable in predicting future cash flows, it is worth highlighting the study by Bowen et al (1986), that aimed to detect which measure of cash flow of funds better predicts future cash flows within a one and two-year timeframe. They came to the conclusion, though not a definitive one, that accrual basis parameters (ordinary profit or loss adjusted by depreciations and auto-financing of operations) are better predictors than the rest. Greenberg et al (1986) compared the predictive capacity of the operating cash flow with that of ordinary income to forecast future operating cash flows and they showed that ordinary income is a better predictor than cash flow. Gaharan (1988) measured the capacity to predict future operating cash flows of three flow variables: operating working capital, monetary working capital derived from operations and operating cash flows, considering only a deferral period. The findings showed that the variable closest to profit had the greatest predictive capacity. Arnold et al (1991), among their findings, highlighted the fact that operating working capital seems to be a better predictor of operating cash flow than cash flow itself for a one to two-year time period. Pina (1992) studied whether the statistical properties of the two types of information, using cash basis or accrual basis accounting, were the same or not. He came to the conclusion that the properties of cash basis measures were different to those obtained using the accrual method and even though one cannot affirm that one method is superior to the other, the accrual accounting measures proved to have a greater predictive capacity than future cash flows. Gabas and Apellaniz (1994) concluded that the variable that best accounts for future cash flows is operating working capital. Giner and Sancho (1996) studied the utility of different parameters related to fund flows (working capital, monetary working capital and liquid assets)  and confirmed that operating working capital had a greater predictive capacity, which seems to reaffirm the greater utility of the accrual method above that of cash basis accounting.

From the studies that chose to look into prediction of business insolvency it is worth highlighting Beaver’s (1966) groundbreaking study which draws up a univariate model and which found that working capital ratio does not provide us with decisive information and that what’s more, it is not the best indicator of solvency neither in the short term nor in the long term. He worked using a series of variables such as: generated assets/ claimable liabilities; net profit or loss/ total assets; claimable liabilities + preferred stocks / total assets; working capital/ total assets; and working assets/ working liabilities. He found the best ratio to be the cash flow/total liabilities, and he stated that it was able to predict a company’s bankruptcy with 79% precision. He reached the conclusion, as Rodriguez-Vilariño (1994) pointed out, that mixed ratios (including a flow variable and a fund variable) are the ones that best predict corporate insolvency and that statistical variables provide less information than dynamic variables. Altman (1968) also carried out a study of 33 companies that had gone bankrupt which focused on prediction of company insolvency. Deakin (1972), from a multivariate approach (the combination of different ratios), selected Beaver’s fourteen best ratios and subjected them to a multiple discriminant analysis. The results confirmed Beaver’s own findings concerning the predictive ability of cash flow/total liabilities, both alone and in combination with other ratios. Gombola and Ketz (1983); Kochanek and Norgaard (1988); Largay and Stickey (1980) presented companies with positive net profits, positive working capital, positive operating current assets, but with highly fluctuating and clearly insufficient operating current cash flows. This went on for various consecutive years before these businesses went bankrupt. Casey and Bartzack (1984); Gentry et al (1985), in their studies analysed firm bankruptcy predictive ability. Viscione (1985) undertook an analysis of corporate bankruptcy using four ratios: liquidity, profitability, debt and turnover. Percy and Stokes (1992) analysed four variables: profit, profit plus depreciation, operating working capital and operating cash flow; there were fewer prediction errors with profit plus depreciation and operating working capital than with the other two variables; even so, when the sample was segmented these results were not repeated.

Among the studies that focused on the degree of use of these documents it is worth mentioning the empirical study by Martinez  (1993) which administered a questionnaire to auditors and chartered accountants on the Statement of Changes in Financial Position. They reached the conclusion that it was a document that is complicated to draw up, difficult to interpret and used very little by most companies.  Gomez Juan (1996) undertook a study of the research carried out in Spain on Fund flow statements from the period 1980-1995, and concluded that the studies undertaken during that period were more of a descriptive than an empirical nature. Rojo Ramírez (1997) carried out a study of the different guidelines issued for the CFS in various countries of the European Union. He reached the conclusion that differences exist in the definition of  cash and equivalents as well as in the format; that there is a lack of homogeneity in the composition of the different fund flows as well as in the way they are calculated; and that there was consensus on including the CFS as an integral part of the AS. Ruiz Lamas et al (2006) presented a proposal on how to develop and apply in practice a method that analyses the degree of coherence of the cash flows structure classified by activity, into operating cash flow, investment and financing, with what would be a normal structure depending on the stage in the business life cycle the company finds itself in. Villacorta (2006) carried out a study of the CFS’s presented by companies that drew up their AS in the year 2005 according to the IFRS and he came to the conclusion that there were differences in the terminology and that the most widely used method was the indirect method. Rojo Ramírez (2008) put forward a proposal for studying a company based on the CFS and he put forward changes in the order of certain items. Vila Bigliere (2008) carried out a study of firm bankruptcy predictive ability using a three dimensional graphic representation. Zubiarre et al (2009) studied the indirect method used in the PGC07 (General Accounting Standards) to calculate the OCF (operating cash flow), and highlighted the main difficulties that one comes across in drawing it up. He carried out a comparative study of the companies listed on the IBEX 35 during the period 2005-2007 and reached the conclusion that there were differences in the choice of initial earnings, in the presentation of changes in working capital ( broken down or not), and in the separate  presentation of taxes and  in the collection of interest and dividends. Rodríguez-Vilariño (2009) studied the consolidated CFS of the companies Metrovacesa and Inmobiliaria Colonial, during the period 1998-2008 in order to demonstrate that corporate solvency level indicators are better than traditional ratios.  They concluded that the data on cash flows was more significant for solvency that the data on generated fund flows and that it is very useful to work jointly with earnings before interest and tax, and OCF because both these dimensions have to do with the company’s activity. Reig and Zorio (2012), based on a sample of companies listed on Dow Jones 30, the EuroStoxx 50 and the Ibex 35, studied their preferences in using the direct or the indirect method and their findings showed an almost absolute preference for the indirect method. They undertook an analysis of CFS that is being analysed by the FASB and the IASB in order to establish a common standard between the USGAAP and the IFRS. They concluded that globalisation demands comparability between the American standard (FAS95), the international standard (IAS7) and the Spanish standard (PGC07). The joint IASB and FASB project recommends using the direct method because it predicts future flows better.

Based on the studies developed in the US by Maness and Henderson (1989) and in Spain by Ruiz Lamas (1997) and Ruiz Lamas et al. (2006), a relationship can be determined between the life cycle of a business and the sign and amount of the cash flows corresponding to the different activities in the cash flow statement. Starting from this relationship, the following stages can be defined: Introduction, growth, maturity and decline. Additionally, the default of two larg corporations in the first years of the XX century (W.T. Grant representing large retaliers in the US and Laker Airways a UK airline) led to the conclusion that the absence of liquidity in the ordinary activity during, at least, 12 years before default, was the main cause of this situation.

The consequence of these facts turned to be the strong support for information regarding cash flows by authors like Rojo Ramirez (1993), Rodriguez & Gonzalez (1997), Vallejo(2005), Carmona Ibañez (2007), Rodriguez –Vilariño (2009). Following Carmona Ibañez (2007), analysing cash transactions is essential to assess the capacity to generate resources that guarantee the survival of the company.

Regarding the methods, the study by Farshadfar, S. & Monem, R. (2013) shows that the application of the direct method facilitates the prediction of future cash flows and the comparison of operating cash flows between companies. And regarding the different documents, Kwok, H. (2002) evidence that the financial statements most currently used for the liquidity analysis are the Balance Sheet and the Income Statement. However, later studies like Barth et al (2001), Cheng & Hollie (2008), Ortpurt & Zang (2009) start showing that the prediction of operating cash flows is mainly based on the direct method. Ruiz Lamas (2012) in his study dedicated to the usefulness of the cash flow statement for UK companies also supports this idea.

3.        Methodology

The basic objective of this experimental study is to demonstrate and highlight the relevance of the Cash Flow Statement as part of the analysis of accounting statements, under the premise that the analysis and study of this accounting statement significantly improves the information one can obtain concerning the company. The secondary objectives are to demonstrate this document’s relevance for:

  • Short term financial analysis, placing emphasis on companies that have a cash collection period. More specifically, this research aims to demonstrate the CFS’s relevance for companies in the retail sector that have a cash collection period, and whose negative working capital and short term solvency ratio are below one unit.
  • To demonstrate and outline the value of the information that this statement provides on each of the different activities that the company carries out and on the interrelationship between these activities, and to identify by looking at the cash flows of the different activities, the life cycle of a business as a CFS analysis method.

We carried out an experimental study following the methodology employed in other research studies such as by Gandia and Montagud (2011)[1] and Mainess and Daniel (2000)[2], with Business Management and Administration (ADE) and Accounting and Finance (CIF) students from two Catalan Universities: Universitat de Vic (UVIC) and Universitat Autònoma de Barcelona (UAB), Sabadell Campus. A pilot study was carried out in these two universities.

In order to accomplish the study’s objectives we drew up two null hypotheses which this research is intended to demonstrate:

  • H1: There are no significant differences between the control subgroup’s results and the experimental subgroup’s results in the experimental study carried out with students from different universities.
  • H2: Studying the CFS does not provide one with valuable individualised information on the three activities the company carries out (operations, investment and financing) or on the degree of interrelation among them.

The students who took part in this experimental study met certain requirements:

  • They were all familiar with the basic features of financial accounting and the annual accounts in accordance with current Spanish accounting principles.
  • They were familiar with the techniques for analysing accounting statements and knew how to apply them to the company’s annual accounts.

By fulfilling these requirements they were able to interpret the three documents that are presented in this study: The Balance sheet, the Profit and Loss account and the Cash Flow Statement. For the purpose of this study each group of students was divided into two subgroups: subgroup A (control subgroup) and subgroup B (experimental subgroup).  Each student was randomly assigned to a subgroup. Once each group had been divided into two subgroups the students were provided with the data on the company under analysis. This study used data from the company Mercadona,S.A. corresponding to the three last financial years for which information was available  (2010, 2009 and 2008), which was taken from the SABI database ( Sistema de Anàlisis de Balances Ibéricos). Based on the information they received, the students filled in the same questionnaire[3], which featured a total of 12 questions. The control subgroup (Subgroup A)/(CS) was only  given the Balance sheet and the Profit and Loss Account whereas the experimental subgroup (Subgroup B)/(ES) was given the Balance sheet, Profit and Loss Account and the Cash Flow Statement.

The statistical methodology employed in this experimental study was comprised of the four following points:

  • Frequency and percentage charts were obtained of the resulting qualitative variables. We found that the distribution of the replies was similar for all three years and consequently we decided to work with the three years together, considering the mode (most repeated value) of these three years. The most relevant values from the database description were:
  1. A total of 49 students took part in the experimental study; 20 students from UVIC and 29 students from UAB, whereby the students from UVIC accounted for 40.8% of the total and those from UAB, 59.2%.
  2. The students who took part in the experimental study were on two courses related to business. The UVIC students were taking the BMA course (40.8%) and the UAB students were on the Accounting and Finance course (59.2%).
  3. As regards the gender of the students in the experimental study, 40 % were men and the remaining 60% were women. The gender of the UAB students was not taken into account here given that they did not reply to the questionnaire individually but in groups, so consequently we were not able to state their gender.
  1. 51% of the students taking part belonged to the control subgroup which only had two documents from the company under study, and the remaining 49% belonged to the experimental subgroup, which had all the information.
  • We found significant differences in the responses between the two subgroups, the control subgroup (CS) and the experimental subgroup (ES). We did so by applying contingency tables and the Chi-square test to check whether there was a relationship between the group variable and the corresponding question, considering a reliability of 95% (or a level of significance of 0.05).
  • We checked to see whether there were differences in the responses of the control subgroup (CS) and the experimental subgroup (ES) derived from their studying a different course (BMA/AF) using contingency tables and the Chi-square tests.

We used contingency tables and the Chi-square test to determine whether there was a relation between specific questions in the control subgroup (CS) and in the experimental subgroup (ES).

 

 

 

 

 

 

 

 

4.        Results

The findings we obtained can be summed up in the three sections below:

4.1.     Findings obtained from looking at whether there were any significant differences between the responses of the two subgroups, the control subgroup (cs) and the experimental subgroup (es)

From the findings we obtained we can reject the two hypotheses we formulated and replace them with the following alternative hypotheses:

  • Reject null hypothesis No.1 (H1) and consequently accept the alternative hypothesis that there are differences between the responses of the control subgroup and the experimental subgroup.
  • Reject null hypothesis No.2 (H2) and consequently accept the alternative hypothesis that the CFS provides very valuable individualised information on the company’s activities and concerning the degree of interrelatedness between them.

In 4 questions out of a total of 12 questions in the questionnaire administered to the students a relation was found between the fact of belonging to one subgroup or the other and the chosen response whereas in the remaining eight questions no relation was found between the respondent’s subgroup and the chosen response. The questions where a relation was found between the group and the response were questions 3, 5, 11 and 12, ( they refer to the CFS) whereas the questions where no relation was found were questions 1, 2,  4, 6, 7, 8, 9 and 10 (they do not refer to the CFS). These results were obtained from the values of the Chi-square test (Table 1.) where we can see that in questions 3, 5, 11 and 12 the p-value is below 0.05 which means that there is a relation between the fact of belonging to one group or the other and their response. In the remaining questions however, given that the p-value is higher than 0.05 there is no relation between the responses and the fact of belonging to a particular group. These findings show that the experimental group, because it could consult the CFS of the company under study, was able to get a better picture of the company’s real short term financial situation. 

Questions

No. 1

No. 2

No. 3

No. 4

No. 5

No. 6

 

Asymptotic significance (bilateral)

Asymptotic significance (bilateral)

Asymptotic significance (bilateral

Asymptotic significance (bilateral)

Asymptotic significance (bilateral)

Asymptotic significance (bilateral)

Pearson’s Chi-square

.302

.302

           .000

.355

.000

.141

Continuity adjusted chi-squareb

.984

.984

   

       .452

Likelihood ratio

.229

.229

.000

.286

.000

.086

Fisher’s exact test

    

.205

 

Linear correlation line

.307

.307

.672

.154

 

         . 145

No. of valid cases

      

Questions

No. 7

No. 8

No. 10

No. 11

No. 12

 

Asymptotic significance

(bilateral)

Asymptotic significance

(bilateral)

Asymptotic significance

(bilateral)

Asymptotic significance (bilateral)

Asymptotic significance (bilateral)

Pearson’s Chi-square

.110

.240

.322

.000

.000

Continuity Adjusted chi-squareb

 

.420

1.000

 

       .000

Likelihood ratio

.051

.237

.243

.000

 

Fisher’s exact test

   

.091

 

Linear correlation line

.099

.245

.327

 

           .228

No. of valid cases

     

Table 1. Chi-square test results

We were unable to apply the chi-square test to question No. 9 because there was only one category.

The significant difference obtained in question No. 3 enables us to affirm that in order to determine with exactness the short term financial situation of a retail company with a cash collection period, and in order to find out whether it has had problems in meeting its short term payments derived from its operating activities, it is essential to study the CSF. The value of the working capital funds of the company under study was negative and the short term solvency ratio figure was less than one unit, and this could indicate an unstable financial situation, when in fact this is not the case.

The significant difference obtained in question No. 5 enables us to affirm that it is very useful to consult the CFS, and more specifically the information on its investing activity in order to determine whether a company is in its growth phase and is investing noncurrent or fixed assets. In the case of the company under study, it presented negative cash flows from investing (CFI) for the three years which means that the payments derived from this activity are higher than the collections and that consequently we are dealing with a company that is growing.

The significant difference found in question No.11, enables us to affirm that the company under study, although it has invested in recent years in noncurrent assets, has  payments from financing activities that are higher than collections, which to put it another way means it is reimbursing a part of the external financing obtained in previous financial years. This information was extracted from the CFS and more specifically from the financing activity section.

Finally, given the significant difference found in question No. 12 we can safely state that without the CFS it is hard to find out aspects linked to shareholders’ compensation (payment of dividends).

On the other hand the joint analysis of the replies to questions 3, 5 and 11 enables us to identify the business life phase that the company under study is in, which in this case is the maturity phase, given that it shows positive Cash flows from operating activities (CFOA), negative CFIA and negative Cash flows from financing activities (CFFA). The positive CFOA value means that the company was able to pay all its short term debts derived from its regular activity, obtaining a surplus which it then allocated to finance company growth (negative cash flows from investment activities) and to reimburse part of the external financing received in previous financial years. In this way it demonstrates the CFS’s value in that it provides separate individualised information for each activity, information on the degree of interrelatedness between them as well as information for identifying the phase in the business life cycle the company is in.  

4.2.     Results obtained from checking to see whether there were differences within the control subgroup as well as within the experimental subgroup due to the fact that the students were studying one university course or the other

As regards the results obtained in the control subgroup we found a relationship between the group the students belonged to and their answers to questions 3, 5 and 11 and not with the remaining questions, as can be seen from the results of the Chi-square test (Table No.2). The questions where a relationship was found were precisely those concerning the document that is the subject of the study, the CFS. The lack of information the students from the control subgroup had, given that they were not provided with all three company documents resulted in significant differences depending on the subgroup the students belonged to and more specifically in the majority of questions related to the CFS (3, 5 and 11) whereas no differences were found in their responses to the remaining questions. It seems that the lack of information plus their training received in the accounting areas throughout their university course may account for the relationship between the group and the response and hence lead to differences between the responses of the two control subgroups, the BMA degree subgroup and the other degree subgroup.

   
 

No. 3

No. 5

No. 11

 
 

Asymptotic significance

(bilateral)

Asymptotic significance

(bilateral)

Asymptotic significance

(bilateral)

 

Pearson’s Chi-square

.003

                           .000

                        .001

 

Likelihood ratio

.002

.000

.000

 

Linear correlation line

.001

.000

.001

 

No. of valid cases

    
       

Table 2. Chi-square test, control subgroup

The results obtained in the experimental subgroup from the Chi-square test (Table No. 3) gave a value above 0.05 in all the questions. This enables us to affirm that since this subgroup had all three documents, there was no relationship between the course each student was studying and their particular responses. Their responses to the twelve questions they were administered in the questionnaire had no relationship with belonging to a specific course. In the experimental subgroup, given that all the students had all three company documents, they all gave very similar answers and therefore no significant differences were found related to the fact that they were studying a specific university course.

 

No. 1

   No. 2

No.3

No.4

No.5

No.6

No.7

No.8

No.9

No.10

No.11

No.12

Asymptotic significance

(bilateral)

Pearson’s chi-square

.388

.388

.118

.388

.118

.803

.212

.151

0.388

             

Table 3. Chi-square test, experimental subgroup

4.3.     Results obtained from determining whether there was a relationship between the responses to specific questions within the control subgroup and within the experimental subgroup

The results obtained from the contingency table and from the Chi-square test to find out whether there was a relationship between the responses to specific questions within the control group and within the experimental subgroup were as follows:

  • Within the control subgroup a relationship was found concerning those questions in which the reply is linked to the document under study, the CFS whereas no relationship was found in the questions in which the two responses had nothing to do with the CFS. Hence a relationship was found between the replies to questions 3 and 5 (Table No. 4); between No.3 and No. 11 (Table No. 5);  between No.3 and No. 12 (Table No. 6) and between No. 5 and No. 11 (Table No. 7)
 
 

Asymptotic significance

(bilateral)

 

Pearson’s Chi-square

.034

 

Likelihood ratio

.010

 

Linear correlation line

.003

 

No. of valid cases

  

Table 4. Chi-square test, relation between questions 3 and 5 and control group students’ studies

 
 

Value

gl

Asymptotic significance

(bilateral)

Pearson’s Chi-square

16.071a

4

.003

Likelihood ratio

20.376

4

.000

Linear correlation line

10.606

1

.001

No. of valid cases

25

  

Table 5. Chi-square test, relation between questions 3 and 11 and CS students’ studies

 
 

Value

Gl

Asymptotic significance

(bilateral)

Pearson’s Chi-square

10.242a

4

.037

Likelihood ratio

13.685

4

.008

Linear correlation line

7.604

1

.006

No. of valid cases

25

  

Table 6. Chi-square test, relation between questions 3 and 12 and CS students’ studies

 
 

Value

gl

Asymptotic significance

(bilateral)

Pearson’s Chi-square

16.335a

4

.003

Likelihood ratio

18.108

4

.001

Linear correlation line

6.980

1

.008

No. of valid cases

25

  

Table 7. Chi-square test, relation between questions 5 and 11 and CS students’ studies

 

The lack of information that the control subgroup students have in order to answer the questionnaire resulted in there being a relation between their responses to certain questions and more specifically between the questions that had to do with the CFS.

Within the experimental subgroup the results of the Chi-square tests and the p-value showed that there was no relation between the questions in this subgroup, given that in all the cases the value of the p-value was above 0.05. In other words, the ES students, because they had all three company documents in their possession, answered with more certainty and hence no relations were detected between their responses to certain questions.

5.        Conclusions

The 2007 Spanish General Accounting Plan (PGC07) as of the financial year commencing January first 2008 incorporated two new documents as an integral part of the annual accounts: the Statement of Changes in Equity and the Statement and the Cash flow Statement. This study’s main objective was to determine the relevance of the Cash Flow Statement within the financial statements and more specifically to determine the importance of the CFS for studying a company’s short term financial situation and its evolution and to demonstrate the benefits of the information this document provides separately about the company’s different activities as well as the degree of interrelatedness among them.

The findings of our research enable us to reach the following conclusions:

The Cash flow statement study and analysis is very relevant in order to carry out a complete analysis of the company’s financial statements where the rest of the financial statements also play a key role

The CFS is the sole document of the five documents that comprise the annual accounts, which provides us with information concerning variations in cash and other liquid cash equivalents classified into three activities: operations, investment and financing.

In order to really find out the company’s short term financial situation it is very useful to have the figures for the Cash Flows from Operating Activities (CFOA), which needs to be supplemented with the figures from the working capital and the short solvency ratio.

From studying the CFS one is able to obtain separate information about the company’s different activities, information about the interrelationship between them and establish a relation between the business’s life cycle and the sum of the cash flows from the different activities.

Consequently one can affirm that the CFS is a very relevantl document that provides added value to a complete analysis of the financial statements of a retail company with cash collection. The information provided by this accounting statement is very useful for finding out the company’s real short term financial situation and complement the traditional ratios of liquidity, as well as certain aspects related to the company’s investment activity and its financing. The CSF furnishes us with very valuable information for each of the company’s activities (operations, investment and financing) on a separate basis and also throws light on the degree of interrelatedness between them, which enables us to know at any given time what stage in its business life cycle the company is in. The CFS provides us with very objective information (in comparison to other financial statements like the Income Statement) that is easy to understand, especially for users of accounting information who are not very familiar with accounting. The CFS adopted by the current accounting principles (PGC07), is a document that has a great deal of analytical potential which can significantly contribute to improving the analysis of a company’s financial statements and the decision making process.

[1] His empirical study aism to determing whether the adoption of innovative teaching methods improves the students’ academic performance.

[2] The objective of the study  is to determine which is the most suitable format for presenting the Changes in net assets statement.

[3] The questionnaire form is attached in the Annex

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ANNEX

QUESTIONNAIRE MODEL                                                                          (A/B subgroup)

 

Using the data on MERCADONA, S.A. for financial years 2010, 2009 and 2008, please reply to the questionnaire below:

 

 

UNIVERSITY …………………………………………………………………………………

COURSE…………………………………………… Date ………………………………….

Gender :  Male / Female

 

 

-Mark the correct answer with a cross

  • Its working capital is:

 

2010

2009

2008

a)       Positive

 

 

 

b)       Negative

 

 

 

c)       Null

 

 

 

 

  • Its short term solvency ratio is:

 

2010

2009

2008

a)       Above 1

 

 

 

b)       Equal to 1

 

 

 

c)       Below 1

 

 

 

 

  • Was the company able to meet all the payments derived from its regular operations with the collections from this activity?

 

2010

2009

2008

a)       Yes

 

 

 

b)       No

 

 

 

c)       Don’t Know/Don’t  Answer

 

 

 

 

  • The solvency ratio or total guarantee is :

 

2010

2009

2008

a)       Above 1

 

 

 

b)       Equal to 1

 

 

 

c)       Below 1

 

 

 

 

 

2010

2009

2008

a)       Yes

 

 

 

b)       No

 

 

 

c)       Don’t Know/Don’t  Answer

 

 

 

  • Is the company in an expanding or growth phase and hence making new investments in non-current assets?

 

6)  The company’s debt level is:

 

2010

2009

2008

a)       High 

 

 

 

b)       Normal – acceptable

 

 

 

c)       Low   

 

 

 

 

7) The quality of the company’s debt is:

 

2010

2009

2008

a)       Good

 

 

 

b)       Normal

 

 

 

c)       Poor

 

 

 

 

8) The company’s use of debt is:

 

2010

2009

2008

a)       Favourable

 

 

 

b)       Unfavourable

 

 

 

c)       Indifferent 

 

 

 

 

9) The company’s net financial profitability is:

 

2010

2009

2008

a)       Positive

 

 

 

b)       Negative

 

 

 

 

10) The company’s gross economic profitability is :

 

2010

2009

2008

a)       Positive

 

 

 

b)       Negative

 

 

 

 

11) Has its financial activity led to more payments than collections and consequently to a negative flow for this activity?

 

2010

2009

2008

a)       Yes

 

 

 

b)       No

 

 

 

c)       Don’t Know/Don’t  Answer

 

 

 

 

 

12) Have dividends been paid out to shareholders?

 

2010

2009

2008

a)       Yes

 

 

 

b)       No

 

 

 

c)       Don’t Know/Don’t  Answer

 

 

 

 

 

 

 

 

[FULL] Article 2, Volume 2 Issue 1

Economic consequence of accounting standards in the hotel industry: lobbying arguments versus expected impact

Author

Núria Arimany-Serrat – (Universitat de Vic)

Àngels Fitó-Bertran – (Universitat Oberta de Catalunya)

Neus Orgaz-Guerrero – (Universitat Oberta de Catalunya

Abstract

Accounting standards generate economic consequences that can be either intended or unintended. European and US accounting regulators have proposed to capitalize operating leases so that future payments derived from lease contracts are accounted for as debt. As operating leases are an important source of funding for the hotel industry, the sector has lobbied against the proposal. This paper analyses the economic impact on the hotel business of operating lease capitalization, using both hotel operators’ perceptions and quantitative analyses of the expected consequences. Results show that the arguments presented in the hotels’ comment letters are confirmed by the impact predicted. While hotels do not believe that the new standard will improve financial information quality (the intended economic consequence), they expect an increase in debt and reduced profitability (the unintended economic consequences), which may affect their strategies. An early response to this new standard is proposed in order to avoid unintended effects.

Keywords

1.        Introduction

Accounting standards generate economic consequences that can be either intended or unintended depending on whether they are aligned with the financial information objectives explicitly stated by accounting regulators (Brüggeman et al., 2013). Intended consequences are those that contribute to the consolidation of the qualitative characteristics of financial statements, like relevance or comparability. These are desirable and are expected to increase the quality of financial information. Unintended consequences impinge upon the contractual role of accounting—the way companies and stakeholders define their relationships. A new accounting standard may thus lead to changes in the way parties react and contract. These unintended consequences are generally supplementary to the first and can have a negative impact on, for example, companies’ financial performance, access to financing, relative position in the market and, ultimately, business strategies.

One of the current proposals for a new accounting standard concerns operating leases.[1] Operating leases are an expense for the lessee and therefore affect the net income of the company in the year they are accrued. However, there is no balance sheet recognition for operating leases because future payments are not recorded as debt. Regulators are proposing that operating leases be capitalized and be included in the balance sheet, both as an asset (i.e. right of use asset) and a liability (including the present value of the future payments committed to today).

Lease contracts are becoming increasingly common in the lodging industry (Whittaker, 2008, Koh & Jang, 2009). Whittaker shows how the sale and leaseback transactions of hotel portfolios have recently become a prominent part of financing and property ownership arrangements in the UK. The hotel industry has certain peculiarities that affect the hotel operator (the lessee), such as the integral role of property in basic transactions and the consequent interaction between customer and property. Upneja and Dalbor (2001) show how equipment leasing (as opposed to an outright purchase) has increased dramatically in the US. Given leasing’s important role in hotel strategy, it is important to evaluate the potential impact of the new standard as well as its consequences (both intended and unintended) for hotels’ financial performance, capital structure, and strategies. This paper analyses the following research questions:

  1. Analyzes the economic impact operating lease capitalization will have on hotels’ business position and strategies from an ex ante perspective using hotel operators’ comment letters,
  2. An analysis of their financial statements. If the capitalization of operating leases will have a significant effect on the financial ratios of hotels industry.
  3. The paper also discusses the possible impact on hotel management and decision making.

As this study represents ex ante research (Schipper, 1994), it cannot move beyond an analysis of the effect (perceived vs. expected) of the new standard. However, if a (qualitative) perceptions analysis, together with a (quantitative) expected impact assessment, indicates that debt positions and financial performance will be affected, we can expect the standard to have ex post consequences for capital structure strategies in the hotel industry. Debt, liquidity and profitability measures, would be substantially affected should those payments be considered as debt. The effect on gearing ratios is particularly important, as this could seriously affect debt covenants hotel’s financial position, and, in the end, their reputations.

The relevance of this issue is evidenced by the great number of letters, over 1000, sent to regulators by the parties affected by the proposal. Big players in the accommodation sector have participated[2] in this so-called ‘lobbying’ process in an attempt to influence regulators’ final decision. Most hotels do not support the proposal because of the intended and unintended (as well as merely undesirable) consequences they anticipate. They argue that important financial information characteristics like reliability and comparability may be damaged and that financial performance measures may be compromised. The issue of comparability is of particular interest here since the accommodation sector’s use of leases and management contracts instead of financial debt places hotels into a unique financial position.

The literature on the economic consequences of accounting standards and the expected impact of the operating leases proposal (Fülbier et al., 2008; Singh, 2012; Fitó, et. al., 2013) shows that the effect on the financial performance of affected companies is expected to be significant, in particular for the retail industry. However, to our knowledge, no study has compared the perceptions of the hotel industry (as expressed in the comment letters) to the expected impact measured through empirical analysis. Using the comment letters as a source of information about perceptions of the impact and conducting an analysis of the ‘real’ expected impact provide our study with a new and very ‘close to business’ approach.

To analyze the effect of the operating leases capitalization and hotel industry perception is important for their management. In recent years, most of the hotel chains have continued to expand the business model to differentiate the entity that owns the property and the management of the company, which is contextualized in a lease business contract. For this reason, the amount of operating leases in the hotel industry is important in its capitalization and financial statements can have a big impact…

The results of the paper show that the perceptions and arguments proposed in the comment letters reflect the significant economic impact expected to hit the lodging industry: debt ratios increase significantly while performance ratios are also affected. Hotel lobbying thus appears to be justified by the undesirable effects anticipated by this analysis. This paper shows how the new accounting standard will generate economic consequences that may modify hotels’ capital structure and affect their future strategy.

The rest of this paper is organised as follows. Section 2 analyses the content of the comment letters. Section 3 reviews the literature and develops the hypothesis. Section 4 presents the results. Finally, Section 5 concludes with some policy implications and the limitations of the study.

2.        Comment Letter’s Content Analysis: The perception Approach

2.1.     Data and Methods

We have conducted a two-step content analysis of the nine comment letters submitted by hotels in response to the regulators Exposure Drafts (ED). Content analysis is considered useful for organizing text into manageable units, facilitating research (Weber, 1990; Beck et al.,, 2010; Giner & Arce, 2012). The average comment letter analysed and coded was approximately nine pages (they ranged from three to 17). The nine comment letters total 81 pages of comments. Five letters are European, three are from the US, and one is from Asia.

In the first step, and following the lobbying literature, we categorize hotels based on their general position on the proposed changes (Yen et al., 2010; Giner & Arce, 2012). Although any of the comment letters can be considered as supporting the ED, some express a general agreement with their objective: they agree with the right-of-use method but present relevant objections to the proposal requirements. After a first analysis of the full set, we classify the letters into three categories: ‘Support’, comprising hotels that do not express disagreement with the ED and who support the right-of use model while providing light objections; ‘Partial Support’, comprising hotels that do not express disagreement with the ED and who support the right-of-use model but who also have consistent objections to the proposal; and ‘Detractors’, composed of hotels that express disagreement with the ED and that do not agree with the right of use model. Three comment letters are classified as Partial Support while six are considered ‘Detractors’.

In the second step of our analysis, we consider each of the arguments proposed in the comment letters in order to perform a deeper study of industry perceptions. As stated by Georgiou (2004), comment letters appear to be a good proxy for other, less overt, lobbying methods. Most of the hotels’ arguments refer to the economic consequences of the proposed standard and, following the classification in Brüggemann et al., (2013), we have divided the arguments into those discussing intended economic consequences and those discussing unintended ones. This categorisation has also been used in the literature, but we have adapted it to the particularities of the hotel industry. The intended consequences are those impacting the informational characteristics of financial reporting (which are expected to improve through the new standards), while unintended consequences are those derived from the contractual role of accounting—the relationship between the entity and third parties. We have also considered a third category, which includes technical questions regarding methodology or the criteria outlined by the proposal.

2.2.     Results

Our initial results produce the following:

 

Items

%

Comment letters (9)

%

Economic consequences

Intended (Informational)

24

26,97%

8

88,87%

Unintended (Contractual)

36

40,45%

7

77,78%

Total Economic consequences

60

67,42%

  

Total Technical questions

29

32,58%

9

100%

Total Items

89

 

Table 1: Content Analysis of Hotels’ Comment Letters

The items (arguments) offered by the hotels total 89, 60 (67%) of which can be classified as referring to economic consequences. When classifying them into intended and unintended groups, we see that 27% belong to the former and 40% to the latter. Therefore, the biggest concern of the hotel industry is the unintended impact of the proposed standard. When we classify the arguments by number of companies, we see that seven out of nine referred to either the unintended or intended economic consequences while all also made some reference to technical questions. Particularly interesting is how hotels perceive the potentially negative effect on the informational characteristics of hotels’ financial reporting: they believe the intended consequences will be negative, providing us with our first relevant conclusion. Regulators issue new proposals in the expectation of causing positive effects on the qualitative characteristics of financial information, of enhancing items such as comparability or reliability. However, we observe that hotels do not perceive this positive effect, suggesting that the very first objective of this accounting regulation change would not be met. As for the unintended consequences, we would expect them to have a negative effect and therefore be undesirable. The analysis of the comment letters confirms this expectation, as hotels expect the proposal to have damaging effects on their financial performance.

It is worth noting that six out of the nine comment letters analysed express explicitly that the ED is particularly harmful for the hotel industry because of the characteristics of the contracts commonly used in it. For example, Host Hotels responded as follows:

“Hospitality’s entities sign leases for many various economic opportunities (in particular to benefit from flexibility). Consequently, the project does not traduce the economic reality of the contracts as assuming that any lease is a financing of the purchase of an asset, which we consider to deny the economics of many of these arrangements”

The Mandarin Oriental Group responded this way:

“The proposed changes in the exposure draft do not reflect the underlying economic substance of hotel lease arrangements”.

 

The HOTREC association stated the following:

“We would like, in particular, to raise the concerns of the European Hospitality industry regarding some of the changes in lease accounting that are proposed by the IASB. In particular, HOTREC considers that the proposed abolition of the distinction between ‘finance lease’ and ‘operating lease’ would have severe consequences for the hotel industry”.

If we analyse the letter contents and the relative weights given to the effects of the standard, we see the following:

 

Items

% s/Comment letters (9)

% s/ Items (24)

Comparability

4

44,44%

16,66%

Transparency

1

11,11%

 4,17%

Usefulness

1

11,11%

 4,17%

Subjectivity

7

77,78%

29,17%

Reliability with the hotel lease arrangements

6

66,67%

25,00%

Consistency (with other standards)

5

55,56%

20,83%

    

Total Items

24

  

Number of comment letters

9

  

Table 2: Intended Economic Consequences (6 items)

As refereed before, to summarize or organize the intended or unintended consequences we refer to the work of Brueggemann et al. (2013). These authors built a compilation of the literature on the economic consequences of IFRS implementation and classified into two main groups: intended consequences and unintended consequences.

The expected consequences would be, according to the authors, those that regulators “expect”, those derived from the conceptual framework of accounting rules, those concerning the fundamental characteristics or quality criteria to be accomplish by the accounting information and that would be improved with the new proposal.

Table 2 illustrates the informational characteristics the hotel industry believes will be damaged. Regarding intended consequences, the most frequent argument is that the change will add subjectivity to the financial statements because it includes many judgments, assessments, and reassessments. Regarding reliability, six hotels consider that the ED does not fit with the special characteristics of the lodging industry. The need to be consistent with other standards in the definition of assets and liabilities is also argued in five of the nine letters. Additionally, comparability, one of the expected benefits of the new accounting rule, is not appreciated; on the contrary, the companies argue that some identical operations can be considered in different ways depending on interpretations of the rule. We see, then, that relevant financial reporting characteristics are expected to be degraded together with an increase in subjectivity. Seven hotels also complain that annual reports will lose their informational power, meaning that the intended increase in quality will not occur. 

We have also coded the letters’ content regarding unintended economic consequences, as shown in Table 3 below.

 

Items

% s/Comment letters (9)

% s/ Items (36)

Complexity

4

44,44%

11,11%

Cost outweigh benefits

5

55,56%

13,89%

Increase leverage ratios/worse     ratios

3

33,33%

 8,34%

Availability of credit

3

33,33%

 8,33%

Liquidity ratios

2

22,22%

 5,56%

Debt covenants

1

11,11%

 2,78%

Classification of expenses

1

11,11%

 2,78%

EBIT and EBIDTA would change

1

11,11%

 2,78%

Volatility

4

44,44%

11,11%

Stock exchange rating

1

11,11%

 2,78%

Renewal option

5

55,56%

13,89%

Inclusion of contingent rent

6

66,67%

16,67%

    

Total Items

36

  

Number of comment letters

9

  

Table 3: Unintended Economic Consequences (13 items)

The unintended consequences, however, have received less attention and, in our view, should be taken into account more now than ever, given the economic circumstances. The group of unintended consequences deeply considered by the literature are fundamentally economic and can be derived, for example, in changes in the relative position of the companies in terms of indebtedness, creditworthiness or performance. As Fulbier research (2008) shows us, in a study for German companies, such as the introduction of this rule would impact on the level of indebtedness and profitability of the companies analyzed, affecting their ability to borrow, its financial situation and both its relative market position and image to analysts and investors. They produce here an “informational” improvement effect by the inclusion of such leases in the balance sheet but also some unexpected consequences and also unwanted.

The gravest balance sheet concern is the impact on gearing ratios and the consequences for debt availability, debt covenants, and even stock exchange ratings. Eighteen of the letter items could be considered debt-related (e.g. those concerning increased leverage ratios, credit availability, debt covenants, renewal options, and contingent rents), with an aggregated result of almost 50% of the total. The major concerns about the income statement are the changes in classification and expense amounts, with the subsequent changes in EBIT and EBIDTA and consequent result volatility. Complexity, the accounting cost, and the acknowledgement that the implementation costs will outweigh the benefits to the quality of financial information are major arguments included in five of the nine comment letters. Overall, the industry displays a clearly negative perception of the proposal’s unintended consequences for hotels’ economic and financial performance and, in particular, for their increased debt positions and related effects.

We thus conclude that most comment letters argue against the proposal and consider that the new accounting rules ignore the economic reality of hotel contracts. The letters argue that the ED makes the financial statements less comparable, reliable, and consistent because of the uncertainty in their definitions and scope. Negative economic consequences are expected because of the increased leverage ratios and the changes in earnings before interest and tax (EBIT) and earnings before interest, tax, depreciation, and amortisation (EBITDA). Finally, hotels also consider that the change would entail a substantial increase in costs and complexity for preparers and request a deeper analysis of the implications of ED implementation.

3.        Assessment of the Impact: A Quantitative Approach

Decisions about financing, investing, and profitability are important in hotel strategies (Hesford & Potter, 2010, Tsai et al., 2011), and the proportion of debt to equity is a key factor in the performance of hotels and restaurants. Authors such as Madan (2007) have examined the role of financing decisions in the overall performance of hotel chains based on an analysis of their debt to equity structure. Building on the idea that neither high nor low debt-equity ratios are desirable and assuming that financing is a very subjective decision and a function of multiple factors, Madan (2007) shows that hotels with a low share of capital but high reserves and debt should either use their accumulated profits or issue fresh capital to execute an expansion. Alternatively, hotels with low debt levels and high equity should consider issuing more debt and increasing their gearing level in order to finance future growth. The author finds that, from the financial perspective, capital structure is one of the most important determinants of a company’s sustainable growth. He also analyses the role of leverage as a key determinant, finding it to affect some companies positively and others negatively. Jung (2008) proposes using the weighted average cost of capital as a driver for performance, thus also incorporating debt as a key indicator. Upneja and Dalbor (2001) and Dalbor and Upneja (2004) reveal relationships between debt and growth and between debt and financial risk. The aforementioned papers all show the relevance of accounting metrics in hotel performance.

Regarding profitability, Hernandez-Lara et al., (2012) categorize accommodation firms into representative groups according to their economic profitability. Profitability, considered a key measure of efficient management, can be measured through various ratios. Hernandez-Lara et al., (2012) use three different metrics to measure profitability, each using accounting and financial information. Studies related to management and strategic analyses discuss key accounting figures such as debt and profitability as being highly relevant. Harrison (2003), who proposes a model for strategic analysis in the hospitality industry (understood as the systematic investigation of a firm and its environment), refers to financial resources as a key variable in the model and specifies that ratios like return-on-assets and debt-to-total-assets offer a good barometer by which to assess the financial health of a hotel. Finally, and for efficiency purposes, corporate performance indicators have been shown to be relevant (Parte & Alberca, 2013). Thus, the literature indicates that leverage and profitability ratios are often used to assess the current and future viability of hotels. In this sense, debt is one of the accounting figures commonly used in analysis, valuation, and viability assessments.

A stream of research particularly relevant to our study is that dedicated to the role of leases in the hospitality industry. In studies like Whittaker (2008), we learn how sale and leaseback have become major financing methods in the hotel industry in the UK over the last 10 years. The most significant leases, hotel and land leases, are long term (20 to 100 years, sometimes including renewal options), and typically include contingent rents based on hotel profits. Koh and Jang (2009) investigate the determinants of using operating leases in the hotel industry. They claim that operating leases have been used not only for equipment but also as a financing instrument. The use of leases as a financing instrument is precisely one of the arguments urged by regulators when supporting the inclusion of future lease payments in hotels’ balance sheets as debt (i.e. ‘if they are a financial liability like debt, why shouldn’t they be included as debt?’)

A second body of literature that we build upon to construct our hypothesis is that regarding the economic consequences of accounting standards. A relevant paper in this area is Brüggemann et al., (2013), which classifies the economic consequences of accounting standards into intended and unintended categories. The intended consequences are those expected by regulators, like increased transparency, relevance, and comparability. The unintended consequences are those that have effects above and beyond those predicted by regulators and intense impacts on users and preparers. The proposal to include future lease payments in the balance sheets is expected to have positive consequences but may also lead to unexpected ones related to the hotels’ business and even to changes in the companies’ relative market positions. Many transformations have occurred in the accounting standards-setting process since authors like Zeff (1978) first used the term ‘economic consequences of accounting regulation’. However, the issue remains the same: if we accept that accounting standards are bound to induce wealth distributions, analysing their consequences is necessary. Papers like Fülbier et al., (2008) and Singh (2012) show that the unexpected impact of changes may be significant for key ratios, debt covenants, and financing requirements.

Following the literature and through our analysis of the comment letters, we expect that the inclusion of future lease payments in hotels’ balance sheets will have a significant effect on hotels’ financial positions. We thus propose the following hypothesis:

H1: There are significant differences between financial ratios of the hotel groups under study before, and after, the operating lease capitalization.

3.1.     Data and Methods

We selected hotels in Europe using data contained in DataStream. We found 25 hotels in the database, but only 10 of them disclose information on future operating lease payments in the notes.[3] Information on payments has been manually collected from those notes. The period of analysis covers 2005 to 2011, for an imbalanced panel 64 observations. This period is used because all companies were made to disclose their commitments regarding leases in the notes starting in 2005, and 2011 was the last year available when the information was being collected.

The operating lease information found in the notes is a schedule of future payments disclosed separately in three different figures:

  1. a) Payments due the year after reporting
  2. b) Payments due two to five years after reporting
  3. c) Payments due after five years

We also collected accounting numbers and other information like the hotel-specific weighted interest rate for the recognized debt and the effective tax rate. However, these data were not always disclosed by the firms. Other information that would make the capitalization procedure (i.e. the simulation of including future payments as debt) more accurate, such as the categories of the assets rented, the assets’ useful lives or lease period, or the weighted average implicit interest rate for each firm’s portfolio of operating leases, were not disclosed by most of the companies selected.[4] Hence, the limited availability of public domain data makes it necessary to introduce some assumptions based on the literature.

Although the appropriate interest rate could be the implicit weighted average rate for each firm’s portfolio or the implicit rate in the firms’ capital leases, these data were not voluntarily disclosed by most of the hotels. In their absence, most studies chose a fixed discount rate for the complete sample (Imhoff et al., 1991; Ely, 1995; Beattie et al., 1998; Fülbier et al., 2008). However, we find the use of a fixed interest/discount rate for all companies too rigid. Thus, following Damodaran (2012[5]), we have estimated a discount rate for each company, which is, in our opinion, more accurate. To do so, we have added to the general reference interest rate in Europe a firm-specific risk premium based on the firms’ interest coverage ratio (Interest expenses/EBIT).

Regarding the leases’ contracts useful lives at the time of capitalization, Imhoff et al. (1991) assume that, for a company with a stable portfolio of leases, the breakeven point where the periodic capital leases expenses equal the periodic operating lease expenses is 50% of the way through its life. In line with this hypothesis (Ely, 1995; Bennet & Bradbury, 2003; Fülbier et al., 2008), we consider that the ratio of completion of the lease contracts at the capitalization moment was 50%. This assumption entails that the effect on the current period’s income of the constructive capitalization is minimal.[6] Finally, and in relation to the tax rate, we calculate the average effective tax rate for each year by dividing the taxation by the earnings before taxes.

Our procedure is based on the constructive capitalization model in Imhoff et al. (1991, 1997), which simulates the effects of operating lease capitalization on assets, liabilities, equity, and the related income statement positions. The literature has considered the constructive capitalization model (Fulbier et al., 2008; Beattie et al., 1998; Fitó et al., 2013) because it is a more developed methodology than is the alternative, the factor method. The main difference between them is that the former considers the potential effect in equity and net income while the latter ignores it. The factor method is especially useful for practitioners because of its simplicity and ease of application.[7]

To analyse the impact of lease capitalization on financial statements and to facilitate comparison with previous studies (Beattie et al., 1998; Fülbier et al., 2008), we calculate eight financial ratios (Gallizo, 2005). In the first group of ratios, related to the presentation of items in the balance sheet, we include a first set of ratios linked to leverage in order to measure the changes in the companies’ financial leverage position caused by the increased lease liability. These are the equity to assets (LEV1), equity to liabilities (LEV2), current liabilities to non-current liabilities (LEVQ), and financial leverage (FINLEV). We also include the liquidity ratio (LIQ), which compares current assets with current liabilities, and the non-current assets turnover (NCAT), which divides sales into non-current assets.

Although we consider the minimal effects of the constructively capitalizing method on the income statement, mainly due to the assumptions of our model, the impact on the balance sheet could alter the commonly used profitability ratios. We calculate both return on assets (ROA) and return on equity (ROE), as these measures strongly influence financial analysis; any alteration in them could affect the diagnosis of a firm’s performance evolution. Considering the modifications on the balance sheet, the capitalization of operating leases will systematically result in a bigger denominator (total assets) in the case of ROA and a smaller denominator (shareholders’ equity) in the case of ROE. The impact in the numerator is not expected to be significant; given our assumption that the residual life of the lease contract over its total life is equivalent to 50% and that this is the moment when no impact on the income statement is felt.  

In Table 4, we show the ratios considered in our analysis:

Ratio

Variable

Numerator

Denominator

Leverage 1

LEV1

Total Liabilities

Total equity + total liabilities

Leverage 2

LEV2

Total Equity

Total Liabilities

Debt quality

LEVQ

Current Liabilities

Non-current liabilities

Financial leverage

FINLEV

Total Assets x EBT

Total Equity x EBIT

Liquidity

LIQ

Current Assets

Current Liabilities

Non-current assets  turnover

NCAT

Total Sales

Non-current Assets

Return on Assets

ROA

EBIT

Total Assets

Return on Equity

ROE

Net Income

Total Equity

Table 4: Ratio Definitions: ratios related to the structure of the balance sheet and the presentation of items. EBIT: Earnings before interest and Taxes; EBT: Earnings before taxes

Studies on the impact of accounting standards on financial analysis such as Fülbier et al. (2008) following Goodacre (2003) and Fitó et al. (2013) indicate that financial ratios do not follow a normal distribution; therefore, the authors use non-parametric tests to identify significant statistical differences between the ratios before and after the capitalization. In our sample, financial ratios also do not follow a normal distribution; therefore, we run non-parametric Wilcoxon tests to check for significant differences in the ratios’ means before and after operating leases capitalization.

 

 

 

 

 

 

4.        Results

To look for significant differences in the means of the ratios before and after operating leases capitalization we run non parametric Wilcoxon tests.

Table 5 shows the impact on financial ratios expected of the operating lease proposal. For the financial ratios, we show the Wilcoxon test results below.

Table 5: Expected impact for key financial ratios (N= 64).

  

Before

After

Diff.

Wilcoxon Test

LEV1

Mean

0,562

0,607

0,045

6,955***

(0,000)

 

SD

0,184

0,216

0,054

 

LEV2

Mean

1,097

0,994

-0,103

-6,955***

(0,000)

 

SD

1,281

1,263

0,116

 

LEVQ

Mean

0,861

0,655

-0,206

– 4,755***

(0,000)

 

SD

0,906

0,631

0,423

 

LIQ

Mean

0,837

0,775

-0,062

-6,955***

(0,000)

 

SD

0,420

0,431

0,067

 

NCAT

Mean

2,983

0,135

-2,847

-6,935***

(0,000)

 

SD

2,454

0,3463

2,546

 

FINLEV

Mean

6,072

9,121

3,049

7,987***

(0,000)

 

SD

21,785

32,468

12,316

 

ROA

Mean

0,0371

0,0334

-0,0036

– 5,363**

(0,000)

Table 5: Expected impact for key financial ratios (N= 64).

Overall, Table 5 shows that a very significant impact on hotels’ financial ratios—and therefore, following the literature, on their capital structure, firm performance, viability, and reputation—is expected. Leverage ratios show a significant impact (i.e. increase of indebtedness); as operating leases play a key role in the lodging industry, we expected this result. Values obtained for the ratios of leverage (LEV1) and financial leverage (FINLEV) are higher after the operating lease capitalization. Leverage (LEV1) has increased 7% on average and financial leverage (FINLEV) 23.7%. On the contrary, the second leverage ratio (LEV2), the quality of debt (LEVQ), and the liquidity ratio (LIQ) show lower values after capitalization, also as expected. The second leverage ratio (LEV2) has decreased substantially due to the impact on equity. Debt quality has decreased 27.5% on average due to the impact on non-current liabilities. If lease future payments are included as debt, we observe that debt indicators together with liquidity indicators confirm hotels’ worse financial situation after capitalization.

The non-current assets turnover has also diminished considerably due to the impact of newly considering leased assets as part of hotels’ non-current assets. This ratio refers to hotels’ asset management: the higher the ratio, the better the turnover of the assets being considered. If lease contracts were included in the balance sheet, the total investment represented by total assets would be much higher for the same level of sales, resulting in a poorer performance for the assets in the firm.

When we analyse the performance ratios by means of the most relevant profitability ratios, we also find significance for both ROE and ROA. The latter, for example, decreases 10% due to the increase in the total assets derived from capitalization. This means that the proposal not only affects the presentation of items in the balance sheet and static measures such as gearing but also the ‘real’ performance of the company (i.e. ROA) and the return for shareholders (i.e. ROE). It is important to note here that, even with the assumed 50% of residual life over the total life of the contracts, there is still a significant effect on profitability, which, as studies show, can lead to negative effects on growth (Madan, 2007).

These results confirm our hypothesis (H1), as we see a significant change in most ratios. Our results support the evidence offered in general studies such as Fülbier et al. (2008) in Germany and Beattie et al. (1998) in the UK. It also helps us understand the concerns of the lodging industry as reflected in the comment letters sent to regulators. This sector knows that this is an important issue that can lead to unexpected and sometimes undesirable consequences.

5.        Conclusions, Policy Implications and Study Limitations

In this paper, we have analysed the economic consequences for hotels of operating leases capitalization using both hotel operators’ comment letters and an analysis of their financial statements. We have described hotels’ perceptions of the proposal and compared them with the impact predicted using an empirical analysis of key financial ratios.

Analysing the comment letters reveals how hotels have actively lobbied against the proposal by arguing that its negative effects will affect both the informational and contractual characteristics of their financial reporting. Our first conclusion thus refers to the intended and unintended consequences of accounting standards as derived from our perceptions analysis. Regarding the intended consequences, we have observed that, although regulators issue new proposals that are expected to have positive effects on the qualitative characteristics of financial information, hotels do not perceive them to be positive. Hotels predict a worsening of comparability, reliability, and consistency together with an increase in subjectivity. Regarding the unintended consequences, our analysis of the comment letters confirms our expectation, as hotels believe the proposal will damage their financial performance. They expect an increase in their debt positions together with less availability of credit and problems regarding debt covenants. As for income measures, they expect negative effects on profitability and volatility. Overall, the hotels perceive negative effects on economic and financial performance after capitalization.

The empirical analysis of the expected impact of considering future lease payments as debt finds significant effects on ratios as important as those related to debt and performance, indicating that ignoring those payments in the computation of debt is important to the analysis of hotels’ financial statements. Debt and liquidity indicators, together with profitability measures, would be substantially affected should those payments be considered as debt. The effect on gearing ratios is particularly important, as this could seriously affect debt covenants, hotels’ financial position, and, in the end, their reputations.

Overall, the results show that the perception of the industry as shown in its lobbying is confirmed by the empirical analysis of the expected impact on key financial ratios. This study is an ex ante research and thus cannot go beyond the effect analysis (perceived vs. expected) of this new standard. However, if a perceptions analysis (qualitative), together with an expected impact assessment (quantitative), shows an effect on debt positions and financial performance, we can expect relevant implications for the industry. The literature shows that financial metrics and the balance in the capital structure regarding debt and equity can affect performance and future strategy. If operating leases’ future payments are incorporated as debt, hotels’ capital structures will be modified. Madan (2007) states that capital structure is an important determinant of a firm’s success and that different capital structures call for different growth strategies in the lodging industry. In this sense, changes in debt indicators may have an impact on future hotel strategies. For example, some players in the industry have explicitly stated their intention to reduce the relative weight of operating leases (ACCOR, 2012) in favour of HMA or franchises.

The literature shows that leases have increased substantially in the hotel industry because of their flexibility, as noted in the letters. If the proposal is implemented and operating leases are recorded as assets and debt, hotels may change their strategy and alter the increasing trend in lease use. Alternative options like hotel management agreements (HMA) may be substituted for operating leases; HMAs offer several benefits, such as the opportunity for an inexpensive and rapid expansion and a low downside risk. However, operators do not enjoy the residual benefits of ownership and do not capitalise on the value created (Lelacqua and Smith, 2012); moreover, the agreement can be terminated at any time by the owner. These disadvantages may not be a concern, however, if operating leases are capitalized and considered as debt. Of course, access to HMA depends not only on the operator but also on the owner. However, if there is an option, trends in growth strategies may be modified.

To conclude, hotels and managers should assess the impact of the proposed changes on their financial performance and plan to operate under the new rules. Both the studied hotels and others will need to understand and be able to measure the rules’ effect so that future strategies regarding capital structure, profitability, and growth can be adequately planned and sustained.

Our study has several limitations relating to its assumptions. We have made assumptions regarding the interest rate and the life of the leases’ contracts. However, and in order to provide our results with more robustness, we have conducted sensitivity analyses that consider various measures for the interest rate and different percentages of useful life over total life. We have added one and two points to the interest rate (the higher the rate, the lower the impact), and we have considered several scenarios concerning the proportion of residual life versus total life. In all cases, the results are similar.

A second limitation is the lack of information available for some of the European hotels examined. This lack of disclosure is not particular to the sector, as the literature shows that companies do not always fully comply with accounting standards requirements. It is expected that hotels’ level of disclosure increase over time.

In future research, we will try to expand the sample in the number of hotels and years of analysis. The same analysis could be applied to other sectors presumably more affected by this new rule regarding their financial behaviour or specific debt characteristics

[1] There have been two Exposure Drafts (ED) issued by IASB and FASB (European and US accounting regulators) regarding operating leases, a first one on August 2010 and a second one on May 2013. Feedback sent by users and preparers after the first one was very significant and therefore the regulators decided to issue the second. The basic idea of capitalization is maintained in both although in the second one alternative income statement recognitions are proposed depending on the type of asset leased. 

[2] Among the hotel groups that have participated in the discussion are Hotrec (Belgium), Hilton and Hyatt (US), Mandarin Oriental (Hong Kong), Intercontinental Hotels Group (UK), and NH (Spain)

[3] There is an important body of literature dedicated to compliance with accounting regulations (Street & Gray, 2001, 2002; Robinson et al., 2011; Depoers & Jeanjean, 2012). Although it is not the objective of our study to detail the reasons why companies disclose or fail to disclose information regarding leases, there seems to be a certain time lag between new standards and compliance. We have studied whether this happens in the accommodation sector. Disclosing those future payments in the notes became compulsory in 2005. We have observed that fewer hotels disclosed this information in the first years of our analysis than at the end of the period. It is expected, then, that hotels increased the level of their disclosure of those relevant items later on.

[4] This is a limitation of our analysis. However, companies do not disclose this type of information in their annual accounts. Unfortunately, then, we were not able to perform a more detailed analysis that would distinguish among effects based on types of assets rented.

[5] http://pages.stern.nyu.edu/~adamodar/

[6] This is of particular interest to our study given that one of the claims in the comment letters was that the impact on the income statements was minimized. Our estimation may thus be closer to the future definite change in regulation.

[7] Moody’s, one of the most relevant analysts in the international markets, always uses the factor method when considering the need to make this adjustment to consolidated financial statements, which is, in our opinion, not as accurate as the capitalization method.

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[FULL] Article 1, Volume 2 Issue 1

Is financial reporting quality related to corporate social responsability practices? Evidence from family firms

Author

Jennifer Martinez-Ferrero – (Universidad de Salamanca)

Lázaro Rodriguez-Ariza – (Universidad de Granada)

Beatriz Cuadrado-Ballesteros – (Universidad de Salamanca)

Abstract

The aim of this research is to highlight the relationship between financial reporting quality and corporate social responsibility (CSR) on the family firm sphere. Using a database of 1275 companies for the period 2002–2010 and the GMM estimator of Arellano and Bond (1991) for panel data, our results show that those companies that report high-quality financial statements promote more CSR practices. However, this relationship is weaker in family firms which support the existence of an entrenchment effect that associates greater family ownership with poor-quality information. We argue that family firms differ from non-family regarding the effect of financial reporting quality on the level of CSR practices.

Keywords

1.        Introduction

This study investigates the relation between the quality of financial statements and the level of corporate social responsibility (CSR) practices internationally, aims to highlight if a firm´s CSR strategy could be influenced by how financial information is presented to its stakeholders (Andersen et al., 2011). This association has its possible reason for being in the following: a higher quality of information facilitates greater transparency and a greater concern to issues relevant for stakeholders, and this concern could promote the adoption of CSR practices. So, if a company’s accounting information is to be consistent with its level of social commitment, it may reflect company behavior through a corresponding level of transparency, reliability and quality. Thus, we expect that high-quality financial information could play a decisive role in setting business strategy in the CSR commitment, since both aim to satisfy the needs and interests of stakeholders.

In addition, the possible FRQ-CSR association is analyzes in the context of family firms, since family members hold fundamental positions in management and on the board (Arshad and Razak, 2011), and then they affect corporate decisions as CSR and FRQ (Chua et al., 1999; Déniz and Cabrera, 2005). Compared to others, family shareholders have a long-term orientation, better access to information and more concentrated ownership (Chen et al., 2008). Thereon, it is crucial to understand the role that family control may exercise in determining not only their CSR strategy, but also the quality of financial information reported in their statements because of financial reports may present different levels of quality in family and non-family firms when taking their respective incentives into account.

Based on all of these reasons, in this study we focus on family versus non-family firms to examine the effect of ownership structure on the relationship between FRQ and CSR, and more concretely, between earnings quality as proxy of FRQ and CSR. Our empirical analysis is based on a large sample of internationally listed companies from 20 countries between 2002 and 2010. Methodologically, we use Arellano and Bond’s (1991) generalized method of moments (GMM) estimator for panel data, which allow us to control for unobservable heterogeneity and to correct endogeneity problems.

We hypothesize that financial information quality is positively linked with the level of CSR practices. Companies that report financial statements with better earnings quality will tend to promote CSR practices to a greater extent. However, when we analyzed previous relationships in the family firms´ context, our results support the entrenchment effect proposed by Wang (2006): family shareholders tend to promote several actions for their own benefit, such as the reporting of earnings with lower quality, thereby expropriating minority shareholders. Accordingly, family ownership negatively impacts on FRQ, and thus modifies the positive link between FRQ and CSR. This is consistent with the traditional view that family firms are less efficient because family owners tend to provide greater incentives for the expropriation of wealth from other shareholders, increasing information asymmetries (Fama and Jensen, 1983; Francis et al., 2005). Finally, based on CSR as a multidimensional construct, we evidence different orientations of family firms to CSR depending on the nature of each practice, concretely between socio-labor and environmental practices.

In section 2, we develop the hypotheses proposed in this study, using several theoretical arguments. Section 3 shows the methodological aspects, such as the sample, variables and models used for the analysis. Section 4 shows the empirical results, as well as some complementary analyses and a robustness check. Finally, we conclude our paper with the main conclusions, practical implications and some ideas for future researches.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

2.        Literature review and hypothesis

2.1.     Financial reporting quality (FRQ) and the level of corporate social responsibility (CSR) practices

 

Nowadays, companies show a tendency to voluntarily engage in the development of society and the preservation of the environment, reflecting responsible behavior towards people and social groups. Specifically, the aim of companies that carry out socially responsible practices is to contribute to sustainable development and to achieve a threefold impact: social, economic and environmental (Adams and Zutshi, 2004). In this regard, CSR is presented as an emerging alternative model of management, and defines the company as a set of relationships that not only involve owners and managers, but also those parties or groups who are interested in the company.

Viewing companies as social institutions, good management should only take into account economic efficiency if it meets the ethical restrictions to reconcile the objectives of shareholders and other stakeholders (Salas, 2009). Carroll defined CSR as “corporate integrated responsibilities encompassing the economic, legal, ethical and discretionary expectations that the society has of organizations” (Carroll, 1979, p. 500). In general, CSR describes how firms manage business processes to produce an overall positive impact on society, which refers to actions that impact on people, the community and the environment above and beyond what is legally and financially required of them (Jo and Harjoto, 2011).

Meanwhile, FRQ is a broad construct. According to Choi and Pae (2011), the fundamental goal of financial reporting is to provide useful information for decision-making processes. FRQ has been defined as the faithfulness of the information conveyed by the reporting process. For Jonas and Blanchet (2000), financial reporting is not only a final output: the quality of this process depends on each part of the process, including disclosure of the company’s transactions, information about the selection and application of accounting policies, and knowledge of the judgments made.

According to leading authorities (such as the FASB, SEC or Jenkins Committee), the main characteristics required for financial reports are relevance, reliability, transparency and clarity (Jonas and Blanchet, 2000; Lu et al., 2011). It has been asserted that high-quality financial information is a valuable means of counteracting information asymmetry (Chen et al., 2011). FRQ requires companies to voluntarily expand the scope and quality of the information they report so as to ensure that market participants are fully informed, and thereby able to make well-grounded decisions on investment, credit, etc. This high-quality information facilitates greater transparency.

Once described the main aspects of CSR and FRQ, we propose the following question: is there any association between the two both?. Andersen et al. (2011) pointed out that a firm´s CSR strategy could be influenced by how financial information is presented to its stakeholders. Higher quality of information facilitates greater transparency and a greater concern to issues relevant for stakeholders.  From a demand point of view, companies report financial information with the aim of satisfying the information demands of their investors, customers, suppliers, etc. So, managers may have a greater incentive to disclose high-quality financial information because it is more informative, transparent, and minimizes the negative effects of earnings management (EM) actions (Sun et al., 2010)[1]. This concern can promote the adoption of CSR practices. Both FRQ as CSR aim to satisfy stakeholders’ needs and interests, and therefore, by promoting CSR firms can achieve a positive valuation of their strategies and actions, and ensure a strong alliance with stakeholders (Choi et al., 2011). So, it could be expected that if a company’s accounting information is to be consistent with its level of social commitment, it should reflect company behavior through a corresponding level of transparency, reliability and quality.

Thereon, it is to be expected that firms should act ethically when they report and provide financial information, without forgetting that it is not only their shareholders who are affected by the company, but also other stakeholders. This basis idea is supported by Choi and Pae (2013) who note that high-quality financial information could play a decisive role in setting business strategy in the CSR commitment, since both aim to satisfy the needs and interests of stakeholders. 

Based on the possible association between FRQ and CSR, some previous studies have analyzed the impact of this quality on social business commitment. Theoretically, Verrecchia (1990) and Penno (1997) pointed out that companies with high earnings quality as proxy of FRQ were more predisposed to promote CSR strategies. Empirically, these arguments were supported by several studies (e.g. Gelb and Strawser, 2001; Chi et al., 2008; Choi and Pae, 2011), which have shown that FRQ to be positively related to the implementation of social and ethical actions – i.e. those firms that provide more extensive financial statements with a greater quality of information tend to promote more CSR practices.

For example, Chih et al. (2008) for an international sample for the period 1993-2002, and Gelb and Strawser, (2001) and Hope et al. (2012) for US firms, report a positive association between the quality of the reported accounting results and these socially business practices (Shleifer, 2004; Shen and Chih, 2005; Kim et al., 2011). Applying the argument of Moser and Martin (2012), managers have an incentive to be honest and ethical in their business and thereon, those companies that present financial statements with better quality tend to be more socially responsible. Others like Yip et al. (2011) employing a US firms´ sample for 2006, reported a positive relationship between CSR and FRQ – proxied by the inverse of EM – in the oil and gas industry and a negative relationship in the food industry. These differing results point to the influence of political considerations, in addition to ethical ones.

At the same and expanding previous studies, Choi and Pae (2011) analyzed the relationship between business ethics and FRQ for Korean companies in the period 2002-2008, finding that companies with a high level of ethical commitment have incentives to improve FRQ. They are more conservative in reporting earnings and predict future cash flows more accurately. Companies with a higher level of ethical commitment show better FRQ than others, and are therefore less likely to abuse accounting standards flexibility. Andersen et al. (2012) for US firms showed that socially responsible companies have higher accruals quality as a proxy of financial reporting transparency.

Based on these previous evidence focused in single countries, we expand the study of the impact of the quality of information provided on the promotion of CSR practices analyzing it internationally. As Choi and Pae (2011) note, differences in legal, institutional, and accounting systems could lead to differences in the relationship between FRQ and CSR in other countries. At this respect, we suggest that those companies that report more transparent, reliable, relevant and clear financial statements tend to be more disposed to implement a CSR strategy:

H1. There is a positive relationship between FRQ and the level of CSR practices.

 

2.2.     The effect of FRQ on CSR practices in family firms

 

Despite there is no universal definition of family firm, in general, authors focus on management, ownership and succession (Chrisman et al., 2004; Chen et al., 2008). Kashmiri and Mahajan (2010) conceive family firms as a homogeneous group with similar patterns of behavior, who hold fundamental positions in management and on the board (Arshad and Razak, 2011). Family business is the predominant form of business worldwide (Bammens et al., 2011). This has boosted studies of these companies’ behaviour and characteristics. The main question for most scholars is whether family firms behave differently from non-family firms. Previous studies have focused on corporate governance, leadership, ownership, and succession-related topics, but they overlook other topics such as quality of information reported, relationships among stakeholders, and corporate social responsibility (CSR) (Benavides-Velasco et al., 2013; Materne et al., 2013). Thus, this study contributes at this respect, analysing the role that family control in determining not only their CSR strategy, but also the quality of financial information reported in their statements.

On the one hand, regarding the CSR commitment, family firms usually assign a higher priority to certain non-financial goals, such as identity, reputation, longevity, extent of resources and the preservation of a positive image (Berrone et al., 2010; Block, 2010). They show their preference for altruistic aspects and not just for economic issues (Graafland, 2002; Déniz and Cabrera, 2005), which would favor the perceptions of stakeholders. Since family firms are easily identifiable by society, they tend to pursue the interests of several stakeholders (Testera-Fuertes and Cabeza-García, 2013; Zellweger et al., 2013), thereby addressing societal demands (Block and Wagner, 2013).

Accordingly, in order to gain a positive image, and create opportunities for future family generations which will ensure the survival of the firm, family firms may carry out actions approved by society, covering stakeholders’ demands such as CSR strategies (Casson, 1999; Block, 2010). Because of its commitment to corporate reputation and popularity (McVey and Draho, 2005), it is to be expected that family firms choose CSR investment decisions to a greater extent, with the aim of being catalogued as “responsible” so as to improve their prestige and social image. Dyer and Whetten (2006) argue that family shareholders are more aware of sustainable commitment, and therefore have a greater incentive to develop social, economic, and environmental practices, as well as to prevent damaging practices that threaten the survival and reputation of the company.

Nonetheless, CSR orientation could be affected by FRQ (such as we proposed previously in hypothesis 1), since high-quality financial reports can play a decisive role in achieving CSR goals. This relationship could be special in family firms due to information asymmetries that may appear. For it, one of the reasons for conducting this analysis is focused on the special agency problem that appears in family owned firms where family members are majority shareholders and are usually involved in management (Chen et al., 2008).

In general, family firms are characterized by a high ownership concentration among family owners, who are very involved in the daily activities of the company, have access to more information and control managers in a better way. As such, the classic agency problem is not usual in this context. Shareholders and managers are used to being connected by family ties, thus their interests tend to be similar (Songini et al., 2013); this concurrence of interests reduces the agency problem between owners and managers, resulting in less informative asymmetries between them (Chau and Gray, 2002; Chrisman et al., 2004; Chen et al., 2008; Young et al., 2008; Hu et al., 2009). Hence, the classical agency problem between managers and shareholders is reduced since they have more information and controlling managers in a better way than shareholders in non-family businesses (Chau and Gray, 2002; Chen et al., 2008; Chrisman et al., 2004).

However, a particular agency problem may occur in family firms when information asymmetries exist between majority shareholders (family) and minority shareholders (Chau and Gray, 2010). Family owners may behave opportunistically, acting on their own behalf and promoting discretionary practices (e.g. EM) to expropriate minority shareholders (La Porta et al., 1999). This effect is based on the incentive of family shareholders to control and obtain a private gain (Sheifer and Vishny, 1997), resulting in lower FRQ (DeAngelo and DeAngelo, 2000). Fan and Wong (2002) support the existence of this entrenchment effect on family firms and its consequences on earnings quality. Along the same lines, Prencipe et al. (2008) show that family firms engage in EM in order to ensure the family’s majority interest and long-term benefits.

In view of the above arguments, we hypothesize that the positive relationship between FRQ and CSR practices could be moderated in family firms.

H2. The impact of FRQ on CSR practices vary between family and non family firms.

 

3.        Method

3.1.     Population and sample

 

 The data source was formed using two databases: (i) Thomson One Analytic, for the accounting and financial information provided in consolidated financial statements; (ii) the Ethical Investment Research Service (EIRIS), for data on corporate social responsibility. The first database contains company and stock market information, covering over 38,000 companies worldwide. Company information includes overviews, financials (reports and charts), and accounting results (standardized to facilitate cross-country comparison) and market data. Includes data from Worldscope (12,000 companies), SEC (28,000 companies), Extel Cards and Edgar. Meanwhile, EIRIS is a foundation established in the UK in 1983 with the mission to provide independent assessments of environmental, social, and governance performances. EIRIS research covers, from 2003 to 2012, about 3,500 firms from 40 different countries on more than 110 different environment, social, and governance areas. For the study population, first, we selected the 2000 largest international companies identified in the Forbes Global. We then, removed the firms belonging to the financial and insurance sectors, because there are significant differences in the valuations of their assets and in their corporate structures. Second, financial and accounting data for these 2,000 companies are obtained from the use of Thomson One Analityc. The financial information corresponds to the consolidated data of the analyzed companies. In order to analyze CSR practices and data, we fusion information from Thomson One (for the initial 2,000 firms) with the information provided by EIRIS. Due to the availability of data, our final sample consist on 1,275 international non-financial companies listed for the period 2002–2010. The sample is unbalanced, consisting of 9594 observations obtained from 20 countries (the USA, the United Kingdom, Canada, Australia, Germany, the Netherlands, New Zealand, Austria, Denmark, Finland, Sweden, Switzerland, France, Italy, Spain, Belgium, Japan, Singapore, South Korea and Hong Kong).

 

 

 

 

 

 

3.2.     Measures of CSR practices. Dependent variable

                                                                                  

CSR practices should be measured using a multidimensional construct addressing all the actions that have been carried out, especially in social and environmental contexts (Carroll, 1979). In this case, CSR variable is represented by using information collected from the EIRIS database[2]. This database is widely used in academic research (for instance see Brammer et al., 2006; Scholtens and Dam, 2007; Louche et al., 2012; Dam and Scholtens, 2012; Fabrizi et al., 2013). The EIRIS process starts with information disclosed by the companies. Then, targeted questionnaires are sent to companies regarding areas where public data are unclear. These results in considerable focused dialogue with companies that help clarify any concerns and refine their opinion. Sector specialists within each team review the research before the score is released.

EIRIS gathers data annually through questionnaires and surveys across six different areas: environment, governance, human rights, positive products and services, stakeholders’ issues, and ethical concerns. EIRIS assigns grades on specific attributes in such different areas. This procedure involves some subjective assessment of relevant practices of the firms but the topics and questions are designed in a way to give a reasonable assessment of the relevant activities.  Moreover, EIRIS research is based on a fully transparent and holistic research methodology which is certified according to external industry quality standards. EIRIS combine the broadest range of environmental and socio labour data points to assess how companies are responding to the various sustainability challenges they face. It looks for corporate leadership in tackling environmental and social challenges through policies, systems, reporting and demonstrated performance improvements. Their ratings also consider how companies deal with public controversies when they arise – companies with a higher score will have taken steps to mitigate impacts. Ratings also take into account each company’s sector, business activities and geographical location.

CSR variable is broken down into a wide range of relevant activities or policies and each item is assigned a value between -3 and +3. The first grade is major positive and has a value of 3. The second is minor positive and has the value of 1. On the contrary, major negative has a value of -3 and minor negative, of -1. Companies are considered socially responsible when the score is above the threshold of 0 and are otherwise not considered socially responsible. Finally, CSR is determined from the non-weighted sum of these items. We use this scoring criterion for two reasons: firstly, we think that negative values represent non-socially responsible behaviours in a better way; furthermore, we do not use the value 2 (and -2) with the aim of strongly discriminating among socially and non-socially responsible behaviours.

First of areas of the CSR variable concerns items such as the company’s environmental management system and policy, its impact on the environment, and whether the company has published reports on this.  For example, issues taken into account by the EIRIS assessment model are: environmental impact and risk management; environment performance; environmental solution companies; climate-change impact and risk management; biodiversity impact and risk management; water scarcity and risk management; sector-specific issues, e.g. chemicals, timber, tar sands; and allegations of environmental pollution or damage to biodiversity, among others. We also use the general scope of the company’s strategy, policy, system and reporting in the field of human rights. We also use the company’s policy; management systems; quantitative information or general level of commitment with stakeholders; policy and practices to support equal opportunities and diversity; health systems and safety at work procedures; support to employee training and development; relationships with customers and suppliers; and the level of commitment with the community or social projects. For example, issues taken into account by the EIRIS assessment model are: human rights; supply-chain labor standards; relations with customers and suppliers; relations with employees; stakeholder engagement; community involvement; sector-specific issues, e.g. access to medicines; and allegations of breaches of human rights norms and labour standards, among others. Appendix 1 shows the composition of the CSR index in detail.

 

 

 

 

 

3.3.     Measures of FRQ: Independent variable

 

There is no universally accepted and single best measure for FRQ (Dechow et al., 2010). Authors such as Hope et al. (2012), Choi and Pae (2011) and Garrett et al. (2012) have used diverse alternative measures, such as accruals quality, accounting conservatism, the likelihood of misstatements, the likelihood of material weaknesses in internal control or audit fees. Given the existence of several FRQ measures – as substitutive metrics (Dechow et al., 2010; Martínez-Ferrero, 2014) -, in this study we focus on the concept of earnings quality (hereinafter EQ). According to Dechow et al. (2010), “higher quality earnings provide more information about the features of a firm’s financial performance that are relevant to a specific decision made by a specific decision-maker”. Under Dechow et al. (2010) assumptions, EQ is meaningless by itself because it needs to be located within a model of decision-relevance of information. In addition, EQ depends on certain unobservable factors related to its informative capacity about firms´ performance.

In this paper EQ will be measured by the absolute value of EM practices, which represent the inverse of FRQ. This is an accepted methodology in accounting to capture managerial discretion (Wang, 2006; Ali et al., 2007; Choi et al., 2013). Although there exists a wide range of possibilities by which managers can discretionarily alter accounting results, most studies have sought to estimate the incidence of such practices by examining accruals (Prior et al., 2008; Surroca and Tribó, 2008). This measure aims to isolate the managed or discretion component of accruals. So, the key element of this methodology consists in decomposing accruals into two unobservable components, a discretionary and a non-discretionary part. Appendix 2 sets out the EQ and so, FRQ proxy, exercised in the inverse of EM practices.

Nonetheless, it is necessary to point out that this measure has some weakness for this EQ indicator summarized by Dechow et al. (2010) in the following: (i) analysis of the consequences of EM are joint analysis of the theory and discretionary accruals metric as a proxy of EM; and (ii) there are correlated omitted variables linked to fundamentals (e.g., performance) which question the dependence of ordinary accruals on fundamentals and the existence of an endogeneity problem of the hypothesized consequences with the fundamentals.

 

3.4.     Family firms: Moderating variable

 

There are several definitions of family firms in the previous literature, and several representations of those definitions (Uhlaner, 2005). In general, most definitions conclude that family firms are characterized by large investments in capital and frequently executive representation (Maury, 2006). In this study, we use a dummy variable (called FAMILY) that takes the value 1 if the largest shareholder is an individual or a family with more than 10% of the ownership, and 0 otherwise, following previous authors such as Mok et al., 1992; Lam et al., 1994; Chen and Jaggi (2000), Maury (2006), Dayha et al., 2008; Pindado et al., 2008; Aoi et al., 2012; Cuadrado-Ballesteros et al., 2015).

Although this is one of the most common approaches, other authors have used different percentages, ranging from 5% (e.g. Villalonga and Amit, 2006; Chen et al., 2008; Berrone et al., 2010) to 25% (e.g. Andres, 2008; Chau and Leung, 2006). Furthermore, there are several definitions of family firms, for instance some consider the presence of family on boards (Ho and Wong, 2001; Anderson & Reeb, 2003; Wan-Hussin, 2009; Darus et al., 2013); others as Block and Wagner (2013) define family firms as companies in which at least two members of the founding family are active in the firm as owners; Testera Fuertes and Cabeza-García (2013) require that the largest shareholder be a family member; and Chau and Gray (2002, 2010) use the percentage of common shares held by the founding family or their relatives as the measure of family ownership. Regarding the controversial measure of family business, it could be interesting for future studies to check our findings by using other definitions of family businesses.

 

3.5.     Control variables

 

To avoid biased results, we included several control variables, taking into account their effect on CSR practices. In our analysis, we used: firm size, leverage, risk, industry and R&D intensity. Company size (SIZE) is measured by the logarithm of the total assets. It is a common practice to use the firm size as a determinant variable of economic, social and environmental practices. Larger firms are likely to have more sustainable behavior and carry out more CSR practices (Hillman and Keim, 2001; Prior et al., 2008; Surroca et al., 2010). Meanwhile, another variable widely used in previous studies is the level of firm leverage (DEBT). It represents the debt or non-compliance risk (Prior et al., 2008; Surroca et al., 2010; Lourenço et al., 2012). For this variable, Kim et al. (2012) evidenced that the most socially responsible companies have lower debt levels than less socially engaged companies. RISK represents the level of systematic risk, represented by the beta of the market model. Most studies have used this variable, since it is believed that companies carry out social practices as a means of reducing their risk perception. R&D is measured by the ratio of R&D expenditure to total revenue. Some studies, like McWilliams and Siegel (2001), prove that CSR is also dependent on R&D costs. Finally, it is necessary to consider the effect of the industry (INDUSTRY) in which the company operates, due to the different characteristics of each economic activity (Waddock and Graves, 1997: Margolis and Walsh, 2003). In order to represent it, a multinomial variable is created in accordance with the Compustat economic sector code (Business Materials; Consumer Discretionary; Consumer Staples products; Health Care; Industrial Field; Information Technology; and Utilities). Moreover, we control by year and country.

 

3.6.     Model and analysis technique

To test the proposed hypotheses, we estimated different models for panel data by applying the estimator proposed by Arellano and Bond (1991). Using panel data enables an assessment of companies’ performance in the sample over time by analyzing observations from several consecutive years for the same companies. Moreover, the fact of considering the temporal dimension of data, particularly in periods of great change, enriches the study. In this regard, the panel data enable us to control the effects that may affect sustainable practices each year.

More concretely, we have estimated our models by using the generalized method of moments (GMM), since, unlike within-groups or generalized least squares estimators, it accounts for endogeneity. Although the endogeneity issue can also be controlled by using a simultaneous-equations estimator, such as maximum likelihood and two-or three-stage least squares estimators, the choice is based on consistency concerns (de Miguel et al., 2005). This is so because the above-mentioned estimators are more efficient than GMM; however, they are less consistent and generate biased results since they do not eliminate unobservable heterogeneity, i.e. firms’ own specificity that gives rise to a particular behavior. The differences between individuals are potentially correlated with the explanatory variables (also called individual specific effects), as well as being invariant over time and having a direct influence on corporate decisions (entrepreneurial capacity, corporate culture, etc.). In order to control unobservable heterogeneity, the GMM decomposes the random error term (εit) into two parts: the classic error term (μit), which varies between individuals and periods of time; and the individual effect (ηi), which is characteristic of the company and constant over the time.

Taking into account previous studies, we propose the following relation to test our hypotheses:

CSR practices = f (FRQ, Family firm, Control Variables)                                        

This relation is empirically tested using the following dependence models:

In the first model (Model A), we analyze the relationship between FRQ and CSR practices. So, CSR is the dependent variable (at the same that in the rest of models) and it is explained by EQ as a proxy of FRQ (explanatory variable).

CSRit= β1EQit + β2Sizeit + β3Debtit + β4Riskit + β5Industryit + β6R&DitAi + μAit   (Model A)

In the second model (Model B), we test the relationship between CSR and FRQ, but include the variable that represents family firms, FAMILY, as an explanatory variable.

CSRit= α1EQit + α2FAMILYit + α3Sizeit + α4Debtit + α5Riskit + α6Industryit + α7R&DitBi + μBit                                                                                                              (Model B)

Finally, in Model C, we include the interaction between EQ and FAMILY to represent the financial reporting quality in family firms.

CSRit= ø1EQit + ø2FAMILYit + ø3EQ*FAMILYit + ø4Sizeit + ø5Debtit + ø6Riskit + ø7Industryit + ø8R&DitCi + μCit                                                    (Model C)

where, i, represents the company and t represents the time period; β, α and ø represent estimated parameters; ηi, represents the unobservable heterogeneity; μit, represents the classical error term;

Finally, with the aim of achieving a complementary analysis to the previous ones, we test the effect of FRQ on the level of CSR practices in family firms for the three dimensions of CSR index (Human rights, Stakeholders and Environmental). Concretely, we combined the first two dimensions into one variable, called SOCIO-LABOR; the third dimension we called ENVIRONMENTAL. Accordingly, we estimate the following two models:

SOCIO-LABORit= δ1EQit + δ2FAMILYit + δ3EQ*FAMILYit + δ4Sizeit + δ5Debtit + δ6Riskit + δ7Industryit + δ8R&DitDi + μDit                                      (Model D)

ENVIRONMENTALit= λ1EQit + λ2FAMILYit + λ3EQ*FAMILYit + λ4Sizeit + λ5Debtit + λ6Riskit + λ7Industryit + λ8R&DitEi + μEit                  (Model E)

where, δ and λ, represents estimated parameters; and the other variables are as defined in previous models (A, B and C).

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

4.        Results

4.1.     Descriptive statistics and correlations

 

The descriptive statistics for the main variables in the study are summarized in Table 1, which considers family and non-family firms. The mean values ​​of the CSR for non-family firms is -20.97156, which means that non-family firms tend to be socially irresponsible. The mean value for family firms is -18.48929, so they tend to be more socially responsible than non-family firms, although they are also not very responsible.  This higher commitment of family firms is similar for the two kinds of CSR actions (the mean values of SOCIO-LABOR and ENVIRONMENTAL). The mean value of EQ is 91.49664 for non-family firms and 9.034106 for family-firms. This indicates that family firms tend to report financial information with lower quality than non-family firms, as we had expected. With respect to control variables, the mean value of SIZE is higher in family firms while the mean value of DEBT is higher for non-family firms, meaning that family firms are larger but less indebted than non-family ones on average. Based on this preliminary evidence, family firms are relatively bigger than non-family firms, contrary to most of previous literature which evidence that family firms tend to be smaller on average (e.g. Bennedsen et al., 2006; Lussier and Sonfield, 2006). Nonetheless, it is necessary to note that our sample is focused on the 2,000 largest companies included in Forbes Index. So, this evidence can be biased by corporate size.

Table 1 also shows the frequency of the dummy variable FAMILY. Regarding the mean values, we can see that 1261 observations (13.14% of the total) are considered family firms, with the rest of the observations (8333; 86.86% of the total) belonging to non-family firms.

                                                           <Insert Table 1>

However, these family firms are from different countries (see Table 2). We note that all companies from South Korea in the sample are family firms. Among the countries with the highest percentage of family firms are France, Spain and Switzerland– countries of Western Europe with a strong concentration of ownership and voting rights in the hands of families. Meanwhile, the analyzed countries with the lowest presence of family firms are Singapore and Japan.

<Insert Table 2>

Table 3 summarizes the bivariate correlation coefficients of the main variables used in this study. The coefficients are not very high between the different independent variables, indicating that there are no multicollinearity problems that might confound the estimation.

                                                          <Insert Table 3>

 

4.2.     Results obtained by dependency models

 

Focusing on the main goal of this study, Table 4 shows the effect of FRQ on CSR practices in the context of family firms. Specifically, three models were estimated to test this effect.

In MODEL A, the level of CSR practices is explained by EQ. Concretely, the coefficient of this explanatory variable shows that FRQ positively impacts on the level of CSR (EQ coef. -0.0000253; significant at a 99% confidence level). It is necessary to note that, as we detailed in the method section, the lower the degree of EQ, the higher the FRQ. In light of this result, as we proposed in hypothesis H1, the increase of FRQ results in more CSR practices. Therefore, those companies that report earnings of better quality tend to carry out more CSR actions. This evidence supports the previous findings of Verrecchia (1990), Yip et al. (2011), Choi and Pae (2011) and Martínez-Ferrero et al. (2013b), among others, who show that those companies with high EQ are more predisposed to promote CSR within their corporate strategies.  Managers will have an incentive to be honest and ethical in their business provide information of greater quality, especially when this will satisfy the needs of stakeholders. According to Shleifer, (2004) Shen and Chih (2005), Kim et al. (2011) and Martínez-Ferrero et al. (2013a, 2013b), higher-quality information is associated with greater transparency, quality and reliability. These companies tend to be ethical from an accounting point of view, but also from an ethical one, which is reflected in their greater social commitment.

In MODEL B, the dummy variable of family firms (FAMILY) is included as an explanatory variable. The aim of this model is to analyze the orientation of family firms to CSR practices. Specifically, results show a positive link between FRQ and the level of CSR practices (EQ coef. -0.0000255; significant at a 99% confidence level), as well as a positive association between family firms and CSR (FAMILY coef. 3.474421; significant at a 99% confidence level). This finding means that family firms are more oriented to CSR practices than non-family firms, because they are more aware of using sustainable commitment as a mean to preserve their reputation and good image (Dyer and Whetten, 2006; Berrone et al., 2010). Our results support the idea that family organizations are aimed to promote CSR practices, since they are strategies that benefit all parties in the long term, as they tend to support altruistic actions and not just economic goals (Graafland, 2002; Déniz and Cabrera, 2005).

Finally, in MODEL C, we enter the interaction between FRQ and family firms (EQ*FAMILY) with the aim of representing the quality of financial information reported by family firms. Similarly to previous models (A and B), the results confirm the positive link between FRQ and CSR (EQ coef. -0.0000303; significant at a 99% confidence level), i.e. companies that provide earnings with better quality have a trend to be more responsible and ethical, and thus promote more CSR practices. The family firms dummy variable has a positive value (FAMILY coef. 3.302557; significant at a 99% confidence level), which again indicates that family firms tend to promote more CSR actions than non-family firms. Nonetheless, the positive coefficient of interaction term EQ*FAMILY (coef. 0.00048645; significant at a 99% confidence level) indicates the positive association of FRQ and CSR is lower in family firms, which is consistent with hypothesis H2. Therefore, the positive link between FRQ and CSR is moderated in the case of family firms (-0.0000303 + 0.00048645 = 0.0048342). Thus, those family firms report earnings with lower quality, but this lack of quality nullifies the positive relationship with CSR practices.

Our evidence supports the existence of the entrenchment effect proposed by Wang (2006). According to this effect, family owners, as larger shareholders, may act opportunistically for their own benefit, providing earnings with lower quality. This lack of quality increases information asymmetries between majority and minority shareholders, leading to expropriate minority shareholders. Entrenchment of family owners links family firms with a poor FRQ, and thus with a lower degree of CSR practices.

In conclusion, our findings show the positive association between high-quality earnings and the level of CSR practices. In this sense, family firms are usually linked to an ethical commitment and responsible behavior. Nonetheless, this business group is characterized by higher information asymmetries, and the risk of expropriation of minority shareholders’ wealth. In turn, according to DeAngelo and DeAngelo (2000) and Preincipe et al. (2008), these family-controlled companies engage in EM practices which negatively affect FRQ. Thus, the positive relationship between FRQ and CSR is weaker (or even negative) in family firms, since they tend to report earnings with lower quality.

With respect to control variables, their effect is maintained for the three proposed models. Concretely, SIZE, DEBT and RISK are associated with a lower level of CSR practices. The coefficients SIZE and RISK are significant at a 99% confidence level, while coefficient DEBT is at 95%. Larger, more highly indebted companies and those that operate in capital markets with a higher risk promote CSR practices to a lesser extent. So, according to Prior et al. (2008) and Surroca and Tribó (2008), CSR practices depend on company size and debt, as well as on the level of systematic risk. Meanwhile, INDUSTRY and R&D show a positive link with social, economic and environmental actions, being significant at a 99% confidence level. According to Margolis and Walsh (2003), the effect of the industry in which the company operates may affect the level of CSR commitment, as would the intensity of R&D (McWilliams and Siegel, 2001).

<Insert Table 4>

 

 

4.3.     Complementary analysis

 

We conduct a complementary analysis to test whether our findings vary when we consider different CSR areas. Concretely, the dependent variable (CSR) is broken into two indicators: (i) SOCIOLABOR, which represents the CSR practices with a human component; and (ii) ENVIROMENTAL, which represents the CSR practices with a special purpose in environmental issues. Appendix 1 shows items included in each indicator. Results from the complementary analysis are shown in Table 5.

In MODEL D, the dependent variable represents CSR practices with a human component. In this case, results show a positive association between the quality of financial information and the level of socio-labor practices (EQ coef. -0.0000217; significant at a 95% confidence level). Similarly to previous results, family ownership is related with a more responsible and ethical commitment to their strategies, and thus, with higher levels of CSR practices (FAMILY coef. 4.132232; significant at a 99% confidence level). This positive relationship between FRQ and socio-labor practices is strengthened in family firms, as the coefficient of the interaction EQ*FAMILY shows (coef. -0.0024418; significant at a 95% confidence level). In this regard, as Ali et al. (2007), Ebihara et al. (2012) and Jirapond and DaDalt (2009) advocated, family firms who are more orientated towards socio-labor practices tend to report high-quality financial information. These authors find that compared with non-family firms, our analysis group report financial statements with better EQ, and enjoy of a greater ability of earnings component to predict cash flows, so therefore promote more CSR practices.

Nonetheless, this reinforced positive relationship between FRQ and CSR practices in family firms only supports for socio-labor issues. In the case of environmental practices, the results of MODEL E support the moderated (even negative) link between FRQ and CSR in family firms, since these companies tend to report earnings with lower quality (EQ*FAMILY coef. 0.0029315; significant at a 99% confidence level). Despite it not being significant, the coefficient FAMILY in MODEL E shows how the trend toward environmental aspects in the context of family firms is lower than in the case of socio-labor issues.

In this regard, CSR is a multidimensional construct composed of several aspects of different orientation. According to Block and Wagner (2013), the effect of family ownership can differ in relation to CSR dimensions or activities. As these authors propose, our results support the idea that a family firm can be ethical and unethical from several CSR dimensions at the same time. In addition, the previous research of Berrone et al. (2010) evidenced that family firms promote environmental compromise CSR practices to a lesser extent that non-family ones.

With this in mind, it is necessary to note the previous study of Gargouri et al. (2010), who advocated that the association FRQ-CSR depends on the kind of CSR dimension analyzed. They report a negative association between EQ and corporate social performance related to the environment and employees. In part, it is explained by the high costs of environmental activities, which reduce financial performance and create an incentive for managers to provide lower quality information.

In summary, our evidence shows which stakeholders are most important for family firms, and how they may influence their decisions and strategies, such as their financial reporting and their social approach.

<Insert Table 5>

 

 

 

4.4.     Robustness check

 

We conducted a robustness check in relation to the kind of dependent variable used in previous models. CSR takes values in the range of -60 to +60. Therefore, our analysis may suffer from a censoring problem. To ensure that such a problem does not bias our results, we conduct an alternative methodology that takes this into consideration (Hillier et al., 2010). An appropriate econometric methodology is the Tobit model for panel data, which allows us to use dependent variables that are left and right-side censored. Tobit models are used to estimate efficiency and provide coefficients using the maximum likelihood method. Concretely, results obtained using the Tobit methodology are summarized in Table 6. We can see that previous results are robust after correcting for censoring problems.

Specifically, in all models (A, B and C), the findings show that CSR practices are positively related to high-quality earnings (EQ MODEL A: coef. -0.0000779 ; MODEL B: coef. -0.0000773; MODEL C: coef. -0.0000779; all are statistically significant at a 95% of confidence level in all models). We have to remember that FRQ is represented by EQ as a measure of EM, which is inversely related to FRQ. Thus, the higher the level of EQ variable, the lower the level of FRQ (and vice versa).

In addition, from MODELS B and C, the results show that family firms tend to promote more CSR actions (FAMILY MODEL B: coef. 2.363969; MODEL C: coef. 2.378834; all are statistically significant at a 99% of confidence level in both models). Finally, MODEL C includes the interaction EQ*FAMILY; its estimated coefficient represents a moderated (even negative) association between FRQ and CSR in family firms, since these companies report earnings with lower quality (EQ*FAMILY coef. 0.005143; significant at a 90% confidence level).

So, in summary, despite the fact that the dependent variable is left and right-side censored, the results obtained after applying the GMM estimator for panel data are robust.

<Insert Table 6>

 

 

 

5.        Concluding Remarks

This article analyzes the association between FRQ (understood as the relevance, reliability, transparency and clarity of information) and CSR practices, and more concretely, the impact of family ownership on this association. Compared to other shareholders, family shareholders have a long-term orientation, better access to information and more concentrated ownership (Chen et al., 2008). Therefore, it can be expected that the relationship between the quality of financial information and the level of CSR practices can be moderated by the presence of family owners.

Our empirical analysis is based on a large sample of internationally listed companies during 2002–2010. Using EQ as a proxy of FRQ, our findings support a positive association between CSR practices and the level of quality of financial information. Furthermore, our evidence shows that this relationship is moderated in family firms which provide lower-quality financial information according to the existence of an entrenchment effect –as proposed Wang (2006). He based on the idea that family owners have incentives and opportunities to expropriate minority shareholders wealth, thereby extracting private benefits. Hence, majority shareholders (family members) report poor-quality earnings in financial statements due to their tendency to manage earnings and obtain private benefits, subsequently increasing information asymmetries. Our complementary analysis shows that these findings are especially important in the case of environmental practices. In addition, previous results are robust employing a methodology that correct the censoring problem for our dependent variable, the CSR index. In sum, this research concludes that ownership structure plays a fundamental role in determining CSR practices.

The main contribution of this paper is its analysis of the moderating role of family firms in the relationship between CSR-FRQ. Regarding family control, considerable research has been conducted on the question of how family firms behave and, particularly, whether they behave differently from non-family firms. Significant differences have been identified in terms of corporate governance, leadership, performance, and succession (e.g. Brenes et al., 2011; Klein et al., 2005). However, the literature until now has overlooked other topics, such as CSR (Benavides-Velasco et al., 2013; Materne et al., 2013) and FRQ. This research contributes to previous studies by providing new insights on the relationship between CSR practices and quality of financial information in the family business literature. Thereon, our paper is the first attempt (as far as we know) to study the possible relationship between FRQ and CSR practices in the context of family firms.

This paper also contributes to previous literature by expanding the study of the impact of the quality of information provided on the promotion of CSR practices. As Andersen et al. (2011) pointed out, a firm´s CSR strategy could be influenced by how financial information is presented to its stakeholders. At this respect, in contrast to the most of studies focused on one specific country (e.g. Choi and Pae, 2011, and 2013 focused on Korean firms; Gelb and Strawser, 2001, Hong and Andersen, 2011, and Andersen et al., 2012 focus on US firms), we use an international panel database. This leads to potentially more powerful and generalized results. In addition, our paper is the first attempt (as far as we know) to study the possible relationship between FRQ and CSR practices in the context of family firms. Moreover, in many cases we offer updated results extending the time period of analysis (from 2002-2010). For example, Hong and Andersen (2011) analyzed from 1995 to 2005; Yip et al. (2011) only 2006; Prior et al. (2008) between 2002 and 2004; Gargouri et al. (2010) between 2004 and 2005; and Chih et al. (2008) despite using a database of 46 countries, the period of analysis is 1993-2002.

Finally, this paper improves on the previous literature methodologically by analysing simultaneous equations for panel data, based on the generalised method of moments (GMM) estimator proposed by Arellano and Bond (1991) to correct for problems of endogeneity. GMM is more consistent than other simultaneous equation estimators because it not only corrects endogeneity but also controls for the unobservable heterogeneity, which arises because the CSR disclosure decision is made by specific individuals within a firm, thus generating a particular behaviour pattern. These individual characteristics usually remain constant over time, but are unobservable to the researcher (Chi, 2005). Moreover, in order to correct the censoring problem of the dependent variable, we carried out a robustness test by applying a Tobit method for the proposed models that analyze the CSR-FRQ relationship. Moreover, the study’s consideration of the temporal dimension of data, particularly in periods of great change, enriches its perspective. In this regard, the panel data obtained enable us to control for year-on-year effects that may affect sustainable practices.

The findings of the present study could be of particular interest to company owners who may wish to determine the effects of information reporting on stakeholders, investors, public authorities and society in general. On the basis of these findings, directors could assess the positive impact of providing higher-quality information on the level of CSR practices. The findings also provide the market with an alternative means of assessing the quality of the information provided by companies, which may lead to it modifying its perception of CSR practices. Our findings suggest that regulators can promote CSR practices by enhancing FRQ. Furthermore, this study suggests that the ownership structure and the grater agency conflicts between family and minority shareholders influence the quality of financial information provided, as well as in promoting CSR strategies. These findings could be of assistance to policy makers and regulators, who could make use of them to improve market transparency by introducing new requirements to constrain managerial discretion in the decision-making process.

The results of this study should be interpreted carefully, since this research is subject to certain limitations. Firstly, this analysis, conducted in an international context, is focused on countries with different systems of corporate governance and different legislative and legal frameworks. At this regard, it would be the inclusion of new variables related to CSR and the family business, such as: media coverage, diversification, internalization, etc. Furthermore, it would be ideal to consider family ownership and family management in greater detail to better characterise the evidence discussed. The variable of family firm was dichotomised into family controlled and non-family controlled firms. As Chen and Jaggi (2000) ad Sharma (2004) note, without a continuous measure of this variable, the moderating effect of family firm on the association between managerial discretion and entrenchment may not have been properly and fully evaluated. In this respect, a precise measure of family management, such as the percentage of family members in senior management positions, could be a good measure. Thus, future research could improve upon the measurement of the degree of family control.

Taking into account these limitations, a useful area for further research would be to analyse the impact of the quality of financial information in the context of family ownership by taking into consideration the legislation, values and culture which could influence this behaviour. In addition, future studies could relate this aspect with the value of a company, showing how markets assess the quality of financial information provided by each company.

[1] According to Garcia-Osma et al. (2005), EM as “any practice intentionally carried out by company managers, for opportunistic and/or information purposes, to report accounting results that do not correspond to those really achieved”. Note that EM is considered to be the inverse of FRQ (Dechow and Dichev, 2002): a higher degree of EM is associated with a lower earnings quality (EQ) as one of the proxies of FRQ, and thus a lower quality of information (Raman et al., 2012).

 

[2] EIRIS as a member of Global Reporting Initiative is an independent research organization and a leading provider of non-financial information on companies’ environmental, social and ethical policy and practice. It provides comprehensive research on over 3,000 companies globally. It offers consistent, comparable data on over 110 different ESG areas, including board practice, bribery and corruption, managing environmental and climate change impacts, human rights and supply chain labor standards – See more at: http://www.eiris.org/

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Appendix 1. CSR measure

SOCIO-LABOR INDEX

ENVIRONMENTAL INDEX

HUMAN RIGHTS INDICATORS:

Extent of policies addressing human rights issues Extent of systems addressing human rights issues Extent of reporting addressing human rights issues

Environmental policies and commitment

Environmental management systems

Environmental reporting

Level of environmental impact improvement

STAKEHOLDERS INDICATORS:

Policies towards stakeholders overall

Management systems for stakeholders overall

Quantitative reporting for stakeholders overall

Level of engagement with stakeholders overall

Policies on equal opportunities and diversity issues

Systems and practices to support equal opportunities and diversity issues

Health & Safety systems

Systems and practices to advance job creation and security

Systems to manage employee relations

Systems to support employee training and development

Policies on maintaining good relations with customers – suppliers

Systems to maintain good relations with customers – suppliers

Level of commitment with community or charitable work

Source: The authors based on EIRIS database

 

 

 

 

 

 

 

 

 

 

Appendix 2. Financial Reporting Quality measure

The discretionary component of accruals adjustment could be used as a measure of managerial discretion or EM. As observed by Garcia-Osma et al. (2005), accruals are not all discretionary; hence it is necessary to separate the discretionary component from the non-discretionary one in order to determine the presence and extent of EM. The discretionary accruals adjustment (DAA) is obtained by subtracting the non-discretionary accruals adjustment (NDAA) from the total accruals adjustment (TAA). DAA represents the abnormal accruals that constitute the variable taken as a measure of EM. Following Jones (1991) and Dechow et al. (1995), TAA are defined as:

        [1]

where  represents the change in the current assets;   reflects the change in the cash held and short-term financial investments;   is the change in current liabilities;   is the change in reclassified long-term obligations;   is the depreciation and amortization; and i represents the company and t represents the year.

Based on equation (1), accruals are calculated using an explanatory model. The difference between actual and expected accrual adjustments represents the discretionary or unexplained component of accrual adjustments (DAA), and acts as a measure of management discretion in the reporting of results.

In this study, we use the modified Jones model (Dechow et al., 1995) to separate the non-discretionary component of accruals from the discretionary one. We employ this model since it is one of the most used in previous studies (Warfield et al., 1995; Chih et al., 2008; Prior et al., 2008). It requires the previous estimation of the standard Jones’ model (Jones, 1991), which uses the following procedure to separate the discretionary component from the non-discretionary one:

                            [2]

where   are the total accrual adjustments;  represents the total assets (it is used as a deflator to correct possible problems of heteroskedasticity);  represents the property, plant and equipment;  is the change in sales; i represents each firm and t refers to period time.

This model is estimated using ordinary least squares. Values of coefficients are then used in the modified Jones’ model (Dechow et al., 1995), defined as:

                 [3]

Where, A*R represents accounts receivable, and the other variables are as defined in equation (2). TAA uses the variation in sales minus accounts receivable (used to measure the growth of the company, as its working capital is closely linked to sales), and minus the item property, plant and equipment, which is used to measure the depreciation costs contained in the discretionary adjustments. It is assumed that not all sales are necessarily non-discretionary, and that this will depend on the item to be received. We have included dummies in this equation that identify the country of origin, because the sample size does not allow us to estimate models by sector and country. Authors such as Prior et al. (2008) and Chih et al. (2008) have used this procedure using samples from international companies.

Note that in this model, the coefficients are calculated using the original Jones model (1991), and that the modification is made only for the calculation of the non-discretionary adjustments. Concretely, from modified Jones’ model we obtain:

NDAA =                        [4]

DAA =                                                                                                              [5]

Finally, we employ the absolute value of the DAA estimated by the modified Jones’ model as proxy (inverse) of FRQ, because EM may involve either income-increasing or income-decreasing accruals (Warfield et al., 1995; Klein, 2002). Specifically, our independent variable used to represent FRQ is called EQ; it is calculated as the absolute value of DAA. Thus, a lower value of EQ represents a lower level of EM practices associated with a higher FRQ:

EQ = ABS (DAA)                                                                                   [6]

 

 

 

 

 

 

 

 

 

 

 

Table 1. Descriptive Statistics

 

Non Family Firms

Family Firms

 

Mean

Std. Dev.

Mean

Std. Dev.

CSR

-20.9715

28.0722

-18.4892

28.6298

SOCIO-LABOR

-18.8932

21.8739

-16.3013

22.1494

ENVIRONMENTAL

-2.07836

7.95438

-2.18794

7.96960

EQ

91.49664

3495.37

9.03410

109.878

SIZE

8.084222

1.87137

8.63414

1.74760

DEBT

2.02613

9.85098

1.60459

2.30319

RISK

1.30348

10.6812

1.00961

0.61828

INDUSTRY

3.0096

1.76

2.87073

1.64941

R&D

0.165479

5.09467

0.196229

2.65664

 

Frequencies

 

Absolute

Relative (%)

Absolute

Relative (%)

FAMILY

8,333

86.86%

1,261

13.14%

        

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 2.  Family Firms per country

 

Non Family Firm

Family Firm

Absolute

Relative (%)

Absolute

Relative (%)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Australia

292

94.5%

17

5,5%

Austria

59

95.2%

3

4.8%

Belgium

79

83.2%

16

16.8%

Canada

339

79.2%

89

20.8%

Denmark

89

90.8%

9

9.2%

Finland

70

88.6%

9

11.4%

France

208

57.8%

152

42.2%

Germany

281

77.0%

84

23.0%

Hong Kong

335

83.8%

65

16.2%

Italy

127

70.6%

53

29.4%

Japan

1822

96.1%

73

3.9%

Netherlands

108

91.5%

10

8.5%

New Zealand

85

91.4%

8

8.6%

Singapore

258

97.7%

6

2.3%

South Korea

0

0%

16

100%

Spain

135

69.2%

60

30.8%

Sweden

133

89.9%

15

10.1%

Switzerland

120

70.2%

51

29.8%

UK

1417

92.0%

124

8.0%

USA

2376

85.6%

401

14.4

         

 

 

Table 3. Bivariate Correlations

 

1

2

3

4

5

6

7

8

1.       CSR

1

 

 

     

2.       EQ

0.012

1

 

     

3.       FAMILY

0.0217

-0.0081

1

     

4.       SIZE

0.3396

-0.0151

0.0942

1

    

5.       DEBT

0.0126

0.0017

-0.0219

0.0412

1

   

6.       RISKS

-0.0365

-0.0014

-0.0102

-0.0096

0.0063

1

  

7.       INDUSTRY

-0.1338

0.0127

-0.0211

-0.1401

0.0038

-0.0001

1

 

8.       R&D

-0.0191

0

0.002

-0.0561

-0.0012

0.0007

0.0431

1

CSR reflects the sustainable practices; EQ is a numerical variable that represents the quality of financial information (measured by earnings quality through earnings management measure); FAMILY is a dummy variable that takes the value 1 for family firms and 0, otherwise; SIZE represents the size of company measured by the logarithm of total assets; DEBT reflects the debt of company calculated as the ratio of debt to equity; RISK represents the risk faced measured by the beta; INDUSTRY represents the economic sector of the company; R&D represents the ratio of R&D expenditure to total sales.

 

 

 

Table 4.  The effect of FRQ on the level of CSR practices in family firms

 

MODEL A

Dependent variable: CSR

MODEL B

Dependent variable: CSR

MODEL C

Dependent variable: CSR

 

Coef.

Std. Err.

Coef.

Std. Err.

Coef.

Std. Err.

EQ #

-0.0000253***

8.64E-06

-0.0000255***

8.67E-06

-0.0000303***

9.45E-06

FAMILY

3.474421***

0.7370015

3.302557***

0.7040592

EQ*FAMILY #

0.0048645***

0.0017785

SIZE #

-0.4615494***

0.0363713

-0.4604504***

0.0363689

-0.4631278***

0.0358939

DEBT #

-0.0063805**

0.0030584

-0.0063123**

0.0030548

-0.0063657**

0.0030521

RISK #

-0.0137764***

0.0008401

-0.0137924***

0.0008401

-0.0138839***

0.0008252

INDUSTRY

7.671327***

2.461248

7.645507***

2.460582

6.946428***

2.424962

R&D #

0.0265849***

0.0007737

0.0266123***

0.0007731

0.0263714***

0.0007658

Year

Yes

 

Yes

 

Yes

 

Country

Yes

 

Yes

 

Yes

 

Z

5555.65

 

5577.99

 

5845.94

 

m1

0.08

 

-0.04

 

0.11

 

m2

-0.22

 

-0.23

 

-0.2

 

Hansen

118.84

 

118.7

 

138.26

 

# Lags t-1 to t-2 are used as instruments in order to avoid endogeneity problems for all numerical variables, including interaction variables.

Notes:

i) *, ** and *** indicate significance at a level of 10%, 5% and 1% respectively.

ii) z is a Wald test of the joint significance of the reported coefficients, asymptotically distributed as χ2 under the null hypothesis of no relationship, degrees of freedom and significance in parentheses.

iii) mi (m1 and m2) is a serial correlation test of order i using residuals in first differences, asymptotically distributed as N(0,1) under the null hypothesis of no serial correlation.

iv) Hansen is a test of over-identifying restrictions, asymptotically distributed as χ 2 under the null hypothesis of non-correlation between the instruments and the error term; degrees of freedom and significance in parentheses.

CSR reflects the sustainable practices; EQ is a numerical variable that represents the quality of financial information (measured by earnings quality through earnings management measure); FAMILY is a dummy variable that takes the value 1 for family firms and 0, otherwise; EQ*FAMILY is the interaction between EQ and FAMILY; SIZE represents the size of company measured by the logarithm of total assets; DEBT reflects the debt of company calculated as the ratio of debt to equity; RISK represents the risk faced measured by the beta; INDUSTRY represents the economic sector of the company; R&D represents the ratio of R&D expenditure to total sales.

MODEL A: CSRit= β1EQit + β2Sizeit + β3Debtit + β4Riskit + β5Industryit + β6R&DitAi + μAit                                            

MODEL B: CSRit= α1EQit + α2FAMILYit + α3Sizeit + α4Debtit + α5Riskit + α6Industryit + α7R&DitBi + μBit         

MODEL C: CSRit= ø1EQit + ø2FAMILYit + ø3EQ*FAMILYit + ø4Sizeit + ø5Debtit + ø6Riskit + ø7Industryit + ø8R&DitCi + μCit

 

Table 5.  Complementary Analysis.

The effect of FRQ on the level socio-labor and environment practices in family firms

 

MODEL D

Dependent variable:

SOCIO-LABOR

MODEL E

Dependent variable: ENVIRONMENTAL

 

Coef.

Std. Err.

Coef.

Std. Err.

EQ #

-0.0000217**

3.78E-06

-5.88E-06***

8.07E-07

FAMILY

4.132232***

0.9003295

-0.1405508

0.5422947

EQ*FAMILY #

-0.0024418**

0.0011718

0.0029315***

0.0002552

SIZE #

-0.3836432***

0.0269118

-0.0352476***

0.007518

DEBT #

-0.0062198***

0.0016677

-0.0008627

0.0014467

RISK #

-0.0161168***

0.0006791

0.0018687***

0.0002358

INDUSTRY

7.819648***

2.062658

-0.8490544***

0.8242086

R&D #

0.0119059***

0.000665

0.0146923***

0.0001637

Year

Yes

 

Yes

 

Country

Yes

 

Yes

 

Z

6011.61

 

79619.36

 

m1

-0.92

 

-1.87

 

m2

-0.69

 

-2.26

 

Hansen

176.46

 

187

 

# Lags t-1 to t-2 are used as instruments in order to avoid endogeneity problems for all numerical variables, including interaction variables.

Notes:

i) *, ** and *** indicate significance at a level of 10%, 5% and 1% respectively.

ii) z is a Wald test of the joint significance of the reported coefficients, asymptotically distributed as χ2 under the null hypothesis of no relationship, degrees of freedom and significance in parentheses.

iii) mi (m1 and m2) is a serial correlation test of order i using residuals in first differences, asymptotically distributed as N(0,1) under the null hypothesis of no serial correlation.

iv) Hansen is a test of over-identifying restrictions, asymptotically distributed as χ 2 under the null hypothesis of non-correlation between the instruments and the error term; degrees of freedom and significance in parentheses.

SOCIO-LABOR reflects the CSR practices in relation to human and social dimensions;  ENVIRONMENTAL reflects the CSR practices with an environmental purpose; EQ is a numerical variable that represents the quality of financial information (measured by earnings quality through earnings management measure); FAMILY is a dummy variable that takes the value 1 for family firms and 0, otherwise; EQ*FAMILY is the interaction between EQ and FAMILY; SIZE represents the size of company measured by the logarithm of total assets; DEBT reflects the debt of company calculated as the ratio of debt to equity; RISK represents the risk faced measured by the beta; INDUSTRY represents the economic sector of the company; R&D represents the ratio of R&D expenditure to total sales.

MODEL D: SOCIO-LABORit= δ1EQit + δ2FAMILYit + δ3EQ*FAMILYit + δ4Sizeit + δ5Debtit + δ6Riskit + δ7Industryit + δ8R&DitDi + μDit     

MODEL E: ENVIRONMENTALit= λ1EQit + λ2FAMILYit + λ3EQ*FAMILYit + λ4Sizeit + λ5Debtit + λ6Riskit + λ7Industryit + λ8R&DitEi + μEit  

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Table 6.  Robust analysis for correcting a censoring problem. Tobit model. The effect of FRQ on the level of CSR practices in family firms

 

MODEL A

MODEL B

MODEL C

Dependent variable: CSR

Dependent variable: CSR

Dependent variable: CSR

 

Coef.

Std. Err.

Coef.

Std. Err.

Coef.

Std. Err.

EQ

-0.0000779**

0.0000365

-0.0000773**

0.0000365

-0.0000779**

0.0000364

FAMILY

2.363969***

0.5088251

2.378834***

0.5064698

EQ*FAMILY

0.0051453*

0.0030281

SIZE

1.290828***

0.1015459

1.264752***

0.0970163

1.253742***

0.0968699

DEBT

-0.0201238*

0.0119448

-0.0194822

0.0119429

-0.0195088

0.0119407

RISK

-0.0284923**

0.0145544

-0.0282727**

0.0145472

-0.0282698*

0.014545

INDUSTRY

-1.101712***

0.1111723

-1.095259***

0.1059081

-1.091233***

0.1056922

R&D

0.0067709

0.0236255

0.0065355

0.0236154

0.0063725***

0.0236107

Year

Yes

 

Yes

 

Yes

 

Country

Yes

 

Yes

 

Yes

 

Sigma _u

26.70077***

0.3353894

26.76663***

0.2863494

26.74405***

0.2821933

Sigma_e

9.992668***

0.0877365

9.988038***

0.0876491

9.985788***

0.0876319

rho

0.8771465

0.0033546

0.877776

0.0029983

0.8776431

0.0029764

Notes: *, ** and *** indicate significance at a level of 10%, 5% and 1% respectively.

CSR reflects the sustainable practices; EQ is a numerical variable that represents the quality of financial information (measured by earnings quality through earnings management measure); FAMILY is a dummy variable that takes the value 1 for family firms and 0, otherwise; EQ*FAMILY is the interaction between EQ and FAMILY; SIZE represents the size of company measured by the logarithm of total assets; DEBT reflects the debt of company calculated as the ratio of debt to equity; RISK represents the risk faced measured by the beta; INDUSTRY represents the economic sector of the company; R&D represents the ratio of R&D expenditure to total sales.

MODEL A: CSRit= β1EQit + β2Sizeit + β3Debtit + β4Riskit + β5Industryit + β6R&DitAi + μAit                                            

MODEL B: CSRit= α1EQit + α2FAMILYit + α3Sizeit + α4Debtit + α5Riskit + α6Industryit + α7R&DitBi + μBit         

MODEL C: CSRit= ø1EQit + ø2FAMILYit + ø3EQ*FAMILYit + ø4Sizeit + ø5Debtit + ø6Riskit + ø7Industryit + ø8R&DitCi + μCit

 

 

 

 

[FULL] Article 4, Volume 1 Issue 2

What makes a woman to choose to work in a family company instead of a looking for a position in the work market or creating her own company?: a literature review

Author

Anna Akhmedova – (Universitat Internacional de Catalunya)

Rita Cavalloti – (Universitat Internacional de Catalunya)

Frederic Marimon – (Universitat Internacional de Catalunya)

Abstract

Despite seeming attractiveness to women, family firms fail to attract females to high-level positions. Previous research was citing primogeniture, daughter invisibility and role incongruity among possible explanations. However, recent studies suggest that such “barriers to leadership” cannot statistically explain existing gap. Most of research loses sight that professionals with family business background have diverse career options and succession is only one of them. A review of literature on succession showed that men and women have slightly different understanding of extrinsic and intrinsic benefits and different valuing of transcendent motives. Furthermore, men and women perceive abilities and chances to success as a function of social experiences, which partially explains underrepresentation. In general, the literature on successors’ motivation is scarce and inconclusive. This research area will gain from empirical studies – both quantitative and qualitative, using humanistic and cognitive frameworks to study career intentions of young professionals and female incumbents of family firms.

Keywords

1.        Introduction

Family business is one important form of business ownership that recently has become separate field of research. The interest of academics and practitioners is motivated by the role family business plays in the economy of countries and role it occupies in society. Thus, depending on definition and country the economic contribution of family business is estimated around 12-50% of national GDP and 15-60% of workforce (i.e. Shanker, Astrahan, 1996). In European Union family businesses Family businesses account for 9% of the European Union’s GDP, generate 60 % of turnover of European companies and generate 40 – 50 % of all employment (Bernard, 2013). In Spain, family businesses generate approximately 16 % of GDP (26% if calculated with affiliations) (IEF, 2009).

Family business can be both a small venture employing several family members and a big multinational corporation led by several family brunches and several generations. Despite great variability and difficulty to do qualitative research, there is a high incidence of market leaders among family businesses. Thus, according to Hermann Simon, in Europe 75 % of market leading companies of middle size were family controlled (Simon, 2009). This form of enterprise has also demonstrated above-average accounting performance, profitability over the long-term, CSR, and a more sustainable practices (EFB, 2012). Furthermore, family controlled businesses showed more stable earnings per employee among business week 1000 (McConaughy, 1994, 1998).

Succession is a cornerstone issue in family business. On the one hand, the intent to pass the business to further generations is what basically differentiates family business.  On the other hand, succession is also a weak point of family firm. Statistically researchers report a 30% barrier of survival of family firms after first succession and then 13 % and 3 % after subsequent transitions (Ward, 1987). First introduced by Ward, this statistics has been later cited and confirmed by various researches and is sometimes called a “three-generation survival trap” (Zellweger et al., 2012).

Despite of being seemingly attractive to women – i.e. offering autonomy in choosing responsibilities, possibly higher appraisal and better remuneration, flexibility of working hours (Vadnjal and Zupan, 2007), women are underrepresented in family firms, specifically in high-level positions. From the point of view of RBV theory, family firms are losing valuable human capital. The economic loss involves not only professional skills and experience of “family business daughters”, but also their social capital – networks and professional connections; emotional capital – important soft skills: “loyalty” and “sensitivity” to family and firm needs; and, leadership potential (Sagalnicoff, 1990), (Gillis-Donovan, 1990) (Eagly, 2003) (Sharma, 2004).

Most of the literature to date suggests that female underrepresentation in family firms is due to the fact that males are preferred over females during succession.

This stream of research reports:  primogeniture (Dumas, 1989), (Hollander, 1990), daughter-invisibility (Hamilton, 2006), (Marshack, 1994), (Poza, 2001), (Fernández Pérez, 2007), (Colli, 2003) and role incongruity between a leader role, family role and gender role (Ely, 2011), (Powell, 2010), (Maleki, 2011), (Chengyan, 2013), (Eagly, 1990), (Eagly, 2003) – as factors that hold women back in the process of succession.

On the other hand, recent studies appeal less to the topic of so called “second-generation discrimination” and “barriers to leadership”. For example, in recent study of Spanish companies, Pascual Garcia reports that some incidence of discriminative practices cannot statistically explain the huge gap between female and male presence in high-level positions in family firms (Pascual Garcia, 2012).

Further, some articles suggest that family business daughters are “excluding themselves” from potential successors by not showing interest (Curimbaba, 2002), (Otten-Papas, 2013) or “waiting” for some disruptive event – such as death of male successor (Wang, 2010), (Overbeke et al. 2013), (Dumas, 1989).

Apparently, the rise of individualistic trends open doors for family business sons and daughters to career options away from family business. Thus daughters might be attracted to pursue entrepreneur or external management career in case they want to be a leader. Especially an entrepreneurship might be a lucrative career option for family business daughters. First, children with family business background often chose entrepreneurship (Zellweger, 2013). Second, for women entrepreneurial career is sometimes even more attractive as it to men as it offers flexibility and meaningful work.

This makes think of supply side as an important factor contributing to female underrepresentation. However, literature on successor motivation and specifically female successor motivation or intention is scarce and lack theoretical background. Furthermore, much ink was spilled comparing entrepreneurial and external employment intents. The absence of similar interest in succession motivation is surprising given the importance of this form of business.

 

 

To close this research gap it is proposed to conduct a review of literature. The paper is organized as follows: first, main motivation theories will be revisited and summarized. Second, literature on succession in family firms will be reviewed and a special attention will be paid to articles devoted to daughter succession. Finally, conclusions will be draught applying relevant information from succession literature on motivation frameworks. Future research directions will be proposed.

 

2.        Motivation theories

Basically, motivation is what determines the action of a person. Understanding career motivation of a person provides understanding of what initiates and maintains one’s decision and what may discern the person. Knowing one’s motivation may help motivating others and as well improve the quality of motivation by adding important values to working curriculum.

For the purposes of this research, two types of motivation theories – humanistic and cognitive – will be revisited. Further, a brief overview of both types of theories will be provided.

 

2.1.     Humanistic theories

Humanistic theories are quite intuitive – mainly because these are rooted in innate psychological needs of a human – that is anthropology of a person – providing general answer to the question of the purpose of one’s life.

The starting point of discussion is the famous theory of Maslow (1970). In the historical context, Maslow and his processor Mayo (1949) – make a huge step from mechanistic and biological perspectives on motivation that were predominant at that time.

The assumption was the same as before – that a satisfied worker is more productive – however, Maslow proposed a hierarchy that included not only biological and mechanistic perspectives – needs for food, physical comfort and safety, but also higher-order needs – socialization, esteem and self-actualization. As esteem and self-actualization are often related to public sphere of life, the theory gave feminists grounds to argue for discrimination. On the other hand, empirical studies faced problems – i.e. needs did not appear in the form of hierarchy.

Herzberg (1966) makes a step from an anthropologic model of Maslow to a more specific to working environment. He cuts the pyramid into two halves, suggesting higher needs motivate people, but the absence of lower needs (hygiene factors) can be a source of dissatisfaction.

McGregor (1960) draws upon the works of Maslow and Herzberg and introduces theory X and theory Y – which distinguish two types of motivation inherent to human nature: extrinsic for theory X (assumes that a human avoids effort and is moved by incentives that correspond to Maslow’s basic needs) and intrinsic – for theory Y (assumes that human appreciate work and seeks responsibility).

 

Cognitive theories, that will be revisited further, initiate from the similar assumption – that a human is active and seeks to act in accordance with his values, thoughts and experiences. However, these theories are taking different direction shifting attention from “content” to “process” of formation of motivation. For this and other reasons here these theories will be viewed separately.

Self-Determination Theory further expands ideas about motivational dichotomy. The theory assumes that human nature is positive: people are active, curious, inspired, striving to learn and to extend their skills. However, the theory acknowledges that individuals sometimes reject growth and responsibility. Self-Determination Theory is half content and half process. It looks at both: the innate psychological needs and conditions that foster needs for growth and responsibility.

In the content part, the theory distinguish three types of motivation: intrinsic, extrinsic and a motivation and three types of needs: needs for competence, relatedness and autonomy (Ryan and Deci, 2000). Ryan and Deci look deeper at extrinsic motivation introducing its gradation. Thus, depending on the degree of autonomy extrinsic motivation can present: “controlled behavior, introjected regulation, identified regulation and integrated regulation” (where “integrated regulation” is the type of extrinsic motivation closest to intrinsic motivation) (Ryan and Deci, 2000).

The process part of theory explains that externally controlled motivation can be internatiolized to become intrinsic (or autonomy controlled). Organismic Integration Theory (OIT) – is a sub-theory of Self-Determination Theory, which details different forms of extrinsic motivation and study factors that favor or hinder the process of integration of low autonomy behavior into high autonomy behavior (Ryan and Deci, 2000).

All theories discussed up to this point emphasized that acting agent is the one who benefits from his behavior. However, this does not explain why would people help each other, behave altruistically or what will hold team members together.

Answering these questions, Grant proposes prosocial motivation – desire or reason to act for the benefit of others or with intention of helping others (Grant, Berry, 2011). In the scale of prosocial motivation he cites such concepts as: “desire to help others, desire that other benefit from my work, prefer work that permit positive impact on others” (Grant, 2008). Furthermore, this type of motivation emphasizes the effort for future.

Similarly, basing in anthropology of a person, Perez Lopez proposes transcendent motivation. Accordingly, the main goal of a person lies in the interaction with others, not within the person (Lopez, 1991), (Lopez, 1996). Thus, a person should step outside his own needs in order to achieve a true happiness. Perez Lopez argues that organizational culture that does not support transcendent motives and, on the contrary, only favors individualism will have difficulties surviving in the long run. Ideally, he states, all three types of motives – extrinsic, intrinsic and transcendent; as well as all three types of needs – material, cognitive and affective – should be fulfilled in the workplace.

In sum, humanistic theories elaborate the question of general human needs – as a main driver of motivation. This way of though had come a long way in relatively short period of time. Originating from biological determinism, the theories then shifted attention to motives that belong to the acting agent – extrinsic and intrinsic; and, then, to motive of interacting with a reactive agent – transcendent. Humanistic theories are viewed universally for tasks and genders.

 

 

2.2.     Cognitive theories

Cognitive theories assume that people are self-organizing, proactive, and self-regulating agents of their psychosocial development: they act in accordance with their values, beliefs and experience.

Most of cognitive theories are process theories – i.e. explain how the motivation is formed. These theories underline the role of culture, opinions of “important others” and experience in the formation of motivation. Due to importance of social component, cognitive theories provide rich ground to explain differences in gender choices. Theories coincide that differences in perception of abilities, self-esteem, and valuing of tasks – all are function of differences of social experiences.

Therefore, the strength of task-specific motivation might be different for males and females due to gender stereotypes.  For example, wide-spread perception that girls are better in verbal tasks and boys in math would result that girls in general would be less motivated to study math and overcome challenges in math; and, will perform worse than they could have performed, had they been better motivated.

 

The first cognitive theories appeared in 60ies. The theory of White is the pioneer of this stream of thought (Harter, 1978). The theory introduced the term “effectance” – a disposition to act on the environment and a satisfaction obtained from the positive result of such action. Thus, according to first theories of achievement motivation tasks that were more difficult and challenging would be more motivating.

The expectancy-value theory of Eccles is based on the research in 1970s by Weiner and Atkinson. According to this theory people are willing to accomplish a given task in function of both: (1) whether they are expecting to succeed in the task and (2) a degree to which they value success in the task (Wigfield and Eccles, 2000). The model provides important contribution to understanding achievement motivation, domain-specific choices and corresponding gender differences.

The Theory of Planned Behavior was developed in 1970s-1980s by Ajzen and Fishbein. Initially, it was an extension of their Theory of Reasoned Action (Ajzen and Fishbein, 1980), (Fishbein and Ajzen, 1975), that needed corrections due to shortcomings of original model in dealing with behaviors over which people have incomplete volitional control.

Similarly to Expectancy-Value theory, Theory of Planned Behavior puts a lot of emphasis on the interplay of social and personal factors in shaping achievement motivation for genders.

The theory focuses on intentions – as major antecedents of behavior (Ajzen, 1991). In practice, measuring intentions is often an easy alternative to measuring achievement motivation when studying initial stages of activities. An intention to open a business, to complete highest educational degree or to dedicate oneself to a particular profession proved to be a relevant predictor of future action. However, as a realization of such intention may require years, it is comfortable to use intentions avoiding recall biases.

In general, Theory of Planned Behavior assumes that a person in a situation of election (career, business opportunity, etc.) would consider different possibilities in regards to opportunity costs, viability of options and plausibility of results for society (significant others) and self. The theory puts intentions to perform a behavior in the central place assuming that intentions reflect the sum of motivational factors and show how hard people are willing to work and to try (Ajzen, 1991).

 

Self-efficacy Theory emphasizes role of beliefs in motivation (Bandura, 1977). According to the theory people’s beliefs can be changed in four ways: mastery experiences (experience in overcoming obstacles through perseverant effort), social modeling (seeing people similar to oneself succeed by sustained effort), social persuasion (one’s self-beliefs can be constructed through appraisal or repeated successful activities), and physical and emotional states (reducing stress and depression through physical exercise) (Bussey and Bandura, 1999).

Similarly to Value-Expectancy Theory it widely explains gender differences in achievement motivation (basing on differences in social experiences).

In general cognitive theories are task specific and gender specific. These theories emphasize social component in formation of motivation (contrary to humanistic theories, that emphasize the role of anthropology). In general, cognitive theories suggest that gendered achievement expectations follow different trajectories. These differences seem to correlate with female underrepresentation in high-level management positions and in some professional areas.

 

 

 

 

 

 

 

3.        Succession and motivation theories

In this section a systematic review of several most important full-text collections (EBSCO, Elsevier ScienceDirect, Emerald Management Xtra, JSTOR, Sage, SCOPUS, Springer and Wiley Interscience) is conducted in order to find how career choice to become a successor in family business is explained from the point of view of motivation.

Through literature review, two groups of articles are identified. First band includes articles that study succession through the lens of successors irrespectedly of gender – focusing on reasons for next generation to pursue career in family firms. Second band of articles focuses specifically on corresponding experience of daughters.

 

3.1.     Humanistic theories and succession

The framework that follows is built on the revisited humanistic theories of motivation. It includes three types of motivation: Extrinsic, Intrinsic and Transcendent. In line with Self-Determination Theory, four types of extrinsic motivation are distinguished: “Controlled”, “Identificated”, “Introjected” and “Integrated”. Positive and negative perceptions are outlined.

The commitment of the next generation is crucial for the continuity of family business. Handler (1989) and Sharma (2004) have successfully drawn attention to the topic of next generation’s perspective in the process of succession, and more specifically to the topic of motivation of the future leaders. Basically, if the desired successor is not interested to take over family business, succession becomes impossible.

Offspring usually makes their career decisions sometime between age 18 and 28 (Stavrou, 1998), (Birley, 1991), (Handler, 1989), (Longenecker and Schoen, 1991), (Ward, 1987). The age between 20 and 30 corresponds and the choice of occupation corresponds to development of personal identity. It is as well a stage of fast professional growth and creation of economical basis for independent life. In fact, in many cases people with family background prefer to gain experience outside family company.  It is of paramount importance to understand what factors will encourage and discourage young adults to join or to return to family firm.

Literature on succession in family firm widely confirms intrinsic and extrinsic motives as a career motivation for successors. Transcendent motives are also mentioned (Stavrou et al. 2005), (Ventler et al. 2005), (Irving 2005), (Stavrou, 1998). Table 1 summarizes types of motivation that can be found in literature on succession.

 

Type of motivation and authors

Examples

EXTRINSIC

 

POSITIVE

The firm is a stepping stone to attain financial security for fulfilling future interests, such as raising a family

Control over the firm’s operations will one day be acquired

The firm’s practices are already familiar

Financial security

The firm’s geographic location is attractive

When young, self-image included become successor (Overb)

NEGATIVE

Unrealistic anticipation of wealth as an irresistible lure (especially when raised in a luxurious lifestyle)

Fear that if they enter the business, they may become jobless at age 45 or 50

Firm’s geographic location is unattractive

Feel has an unreasonably heavy workload and is receiving insufficient compensation (Rosenblatt, et al., 1985)

 

Stavrou, 1998

Cory, 1990

Rosenblatt, et al., 1985

Overbekea et al., 2013

INTRINSIC

 

 

POSITIVE

Working in the firm is challenging.

It is comfortable working with family members

Enjoyment, personal satisfaction

Alignment with the career interests

Identify with and copy their parents’ behavior

Early interactions between parents and children lead to needs within the child that can affect later occupational choices

Plan to expand the business

Interested in the firm’s products, markets, operations, strategies

NEGATIVE

Futures dreams are unrelated to the firm

The industry climate of the firm is uninteresting

The ability to apply certain skills will not be possible in the firm

Working in the firm is not challenging

To escape the shadow and stigma of being the owner’s child

Does not support “old” values and business strategies

 

Stavrou, 1998

Venter, E., Boshoff, C., and Maas, G. 2005

Stavrou, 2005

Goldberg andWooldridge, 1993

Eckrich, 1993

Farhi, 1990

 

TRANSCENDENTAL

 

POSITIVE

Helping the family prosper through the firm is a goal

NEGATIVE

The family business does not emphasize important family values

 

Stavrou, 1998

Source: Own elaboration

Table 1. Motivation of successor. Humanistic theories framework.

 

Literature on Daughter succession also widely confirms basic motivational dichotomy. Intrinsic and extrinsic motives mentioned in these articles are similar to those – mentioned by articles on general succession. Table 2 summarizes types of motivation indirectly cited in literature on daughter succession.

Analyzing differences, we can note specific topics that are probably related to gender – topics that might give us a clue to some subtle gender differences that exist in motivation. For example, daughters would mention comfortable lifestyle and flexible environment to raise children, while articles that do not specify gender would not mention this. Further, among negative extrinsic reasons researchers cite birth order (which already appeared in this work) and the opinion of the spouse.

 

The section of intrinsic motivation for men and women is more elaborated compared to that of daughters in both: positive and negative factors. Some specific goals of professional interest are more often mentioned. It seems that on average daughters mention specific career goals less frequently.

In section of transcendent motivation the picture seems to be the opposite. Although this section is less elaborated in both cases, it seems that daughters thought more of general well being for family and family business and thus provide more examples of transcendent motives. This idea is also supported by the often-mentioned observation that daughters come to family business during hard times and moments of crisis – when either family or business needs support or when a supposed successor would reject the position or in case of accidental death (i.e. Dumas, 1998). It also is consistent with a stream of literature that links female leadership with transformational style leadership, which in turn is consistent with prosocial behavior (Grant, 2011).

In general for this section, it seems that; even though the concepts of intrinsic, extrinsic and transcendent motives are universal for both genders, the structure and sense that both genders put into each concept varies slightly. It seems that daughters have greater variety of extrinsic (or hygiene) reasons to be in family business. Flexibility of job design – is an addition to the factor of money and shares. It seems that for daughters sometimes is important to have shares without participation in management of the firm. Secondly, prosocial and transcendent motives are more appealing to daughters. These observations are somewhat consistent with traditional gender roles.

 

Type of motivation and authors

Examples

 

EXTRINSIC

 

 

POSITIVE

Facilitating family life

Farm’s ability to sustain several families

Comfortable lifestyle; and a flexible environment for raising children

Opportunity was “too good to pass up” and “the best thing to come along,”

Money, shares

Position nobody wanted

NEGATIVE

Spouse not interested

Birth order

IDEN: When young, self-image didn’t include become successor

 

Dumas, 1995

Dumas, 1998

Curimbaba, 2002

Vera and Dean 2005

Otten-Papas 2013

Overbekea, et al.

2013

 

IDEN: Affirmation of choice of profession

Roots in the business (farming)

INTJ: “a chance to prove myself,” challenging chance to shine, prove their abilities, and excel in a way that they were unable to in outside employment. Changes – opportunity to help; work excellence

 

INTRINSIC

 

POSITIVE

Interesting, challenging, and satisfying work

Variety of daily tasks

Job satisfy

Loves working for my family business – wonderful quality of life

 

NEGATIVE

Lack of interest

Dislike of some aspect of farm lifestyle

 

Dumas, 1995

Dumas, 1998

Curimbaba, 2002

Vera and Dean, 2005

Otten-Papas, 2013

Overbekea, et al.

2013

 

TRANSCEDENTAL

 

POSITIVE

“A family dream”

“Giving back to the family”

 Help family

Making contribution (unique leadership opportunity)

NEGATIVE –

 

Dumas, 1998

Curimbaba, 2002

Vera and Dean, 2005

Overbekea, et al.

2013

 

Source: Own elaboration

Table 2. Motivation of female successor – Humanistic theories framework

3.2.     Cognitive theories and succession

To our knowledge, there is only one recent article that explicitly compares career intentions of young professionals with family business background using lenses of cognitive theories of motivation. Specifically, Zellweger et al. (2010) compares intentional founders, successors and employees on entrepreneurial self-efficacy, independence and innovation motives. According to the article, entrepreneurial self-efficacy and independence motive lead to preference of external employment over succession and entrepreneurship. Further, innovation intent leads to preference of founding experience over succession and external employment.

The limitation of this research consists in that it is a pioneering article. The number of variables studied is limited compared to the general amount of research dedicated to entrepreneurial intent and its antecedents. The article sheds some light on the topic of career intentions but still does not provide answers to why would a young professional would prefer family firm to other career options.

Literature, that concentrates only on successors in family firms neither provide answers. In general, successor pathways to leadership can be learned. No doubts that early initiation to business, small tasks in the firm and positive attitudes of parents to business favor development of healthy identity and the interest of the offspring in preservation of business within the family.

Similar trends can be found in literature dedicated to family business daughters, with a difference that gender stereotypes may play a negative role when a daughter assesses her leadership potential in general and for family business specifically. Thus, parents who do not engage their daughters to work in family business early in life, do not foster their self-esteem in leadership and do not discuss future career opportunities with them – thus support indirect clues to daughters that they are not welcomed in the firm and that their opinion does not matter. It is not surprising that in adolescent age such daughters are excluding themselves from family business opting for external employment or entrepreneurship career.

Rivalry, as well, might play a deterring role in daughter’s willingness to take business over. According to Expectancy-Value theory, negative expectations play a strong deterring role over intentions. Daughters anticipating a family relations instability and conflicts due to rivalry with brothers or with current business owner (father or mother), might as well simply exclude themselves from successor attempts.

Receiving unclear messages from parents may deter daughters from considering succession. Difficulty discerning family roles from business roles and mixing family (and personal) expectations with business expectations (“full control of business and produce grandchildren”) may be perceived as a barrier by a daughter. Business values that do not reflect family values might undermine positive attitude toward family business and decrease its perceived value.

Table 3 resumes this part and presents particular examples taken from literature on family firm and female successors. It can be seen, from the point of view of cognitive theories, differences in social experiences might have a ripple effect in daughter motivation and result in self-exclusion.

 

 

 

 

 

 

 

Type of motivation and authors

Examples

EXPECTANCE

 

POSITIVEwhen initiation happens early. When parents are positive about having business. “It is like a game” “was always present” Owner – is a role model.

 

NEGATIVEwhen is not initially considered as a potential successor. Her presence is undesirable. Expects to have a work-family conflict. Receives a double-message from parents: full control of business and produce grandchildren

Rivalry with owner, rivalry with brothers/sisters

Dumas, 1990

Dumas, 1992

Dumas,  1995

Cole, 1997

Dumas, 1998

Vera and Dean, 2005

 

VALUE

 

Connected to interests, connected to values of business, motivated extrinsically and intrinsically, sees value in business continuation, value in maintain family ties, connectedness, shared meaning: core values, affiliation, belonging, good employee relationship

 

SUBJECTIVE NORM

Family support, training. Owner fosters desire to follow his footsteps.

NEGATIVEattributed to being a woman, has “feminine” career, education. When is gender stereotyped and discriminated

Dumas, 1990

Dumas, 1995

Dumas, 1998

Curimbaba, 2002 Vera and Dean, 2005 Danes and Haberman, 2007

 

 

BEHAVIOR CONTROL

 

Is familiar with business, had taken on special projects, undertook relevant experience/education. Positively evaluated by parents

 

NEGATIVE – lack of education, experience, positive evaluation

Dumas, 1990

Dumas, 1998

ATTITUDE TOWARD BEHAVIOR

 

Developed healthy identity

Achievement – quality of product, reputation

Dumas, 1990

Dumas, 1998

 

Source: Own elaboration

Table 3. Motivation of female successor – Cognitive theories framework

 

4.        Conclusions

Literature on successor motivation in family firms is scarce, given the important role succession plays and relative development of sister-areas: motivation of intentional entrepreneurs and employees. For studies of gender such this gap is even wider.

Given the rise of individualism and variety of careers available on the market, the lack of understanding of successor motivation and successor qualities leads to that family firms might be losing important human capital in face of daughters and their descendants. To address the gap a literature review was conducted.

Literature review reaped the following results.

– Although there are no studies that explicitly use any humanistic theory of motivation to study rationale of daughters to follow footsteps of their parents in family firms, research dedicated to other objectives can be used to shed some light on this topic.

By doing so, the basic motivational dichotomy Extrinsic-Intrinsic motivation is confirmed for both genders. However, a direct comparison suggests that male and female motivation is developed by slightly different trajectories. Specifically, extrinsic or material motives of daughters include flexible schedules, comfortable lifestyles and having shares of business. On the other hand, men’s Intrinsic motivation includes slightly more specific career goals.

Finally, daughters seem to be more preoccupied with emotional component – and show greater variety on transcendent and prosocial motivation. This finding is consistent with the stream of literature on gender leadership styles, and possibly could have been more developed within literature on succession.

– In relation to cognitive theories, “ideal” successor’s pathways to family business seem to be universal for both genders: an early initiation through conversations during family dinner and small summer projects and followed by a relevant education and some experience. However, literature suggests, that daughters are sometimes excluded (or exclude themselves) from potential successors; therefore, lacking this initiation phase.

In general, the role of family, early role models and experience are cornerstone for both genders. However, having father or mother involved in a business does not automatically provide next generation with desire to enter this business. Contrary to expected, young professional with family business background often opt for external employment or create their own companies.

To date the potential of application of cognitive motivation theories to family firm field is untapped. As far as we know, only one paper explicitly compares different types career intentions for the youth with family business background. It can be inferred from other sources that the way men and women perceive their abilities, their chances to success and etc. differs as a function of their social experiences. Consequently, using cognitive theories might contribute to understanding the problem of female underrepresentation in family business.

Future research into the problem of gender imparity might gain from empirical studies – both qualitative and quantitative – using both motivation theories frameworks. As such, interviews with female leaders in family firms might reveal greater emotional connection to family firms and greater extent of transcendent and prosocial motives than it is currently known. Such knowledge could have been used by academics and professional coaches, who develop business programs.

On the other hand, a quantitative study of young professionals using cognitive theories frameworks might reveal differences in entrepreneurial, employee and successor intentions as well as gender differences in corresponding career plans. More detailed information would provide a better theoretical and practical understanding of social experiences faced by family business daughters and sons.

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