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Equal, proportional, and mixed sharing of cooperative production under the threat of sabotage

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Abstract

This paper analyzes the consequences of a parametrized class of sharing rules on the propensity of individuals to sabotage each other in a cooperative production framework. The considered sharing rules include equal and proportional sharing as special cases and are parametrized with respect to their sensitivity to relative input contributions. This parameter affects the equilibrium provision of productive individual labor (that increases the respective individual input contribution) but also the propensity to sabotage others (which decreases the input contributions of sabotaged individuals). The theoretical analysis shows that sharing rules in which more weight is put on equal sharing induce zero sabotage in equilibrium; however, they might also lead to inefficient underproduction. In contrast, sharing rules that are highly sensitive with respect to relative input contributions lead to destructive sabotage activities and moreover to inefficient overproduction.

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Notes

  1. A recent OECD survey study claims that between 6 to 75 % of the institutional research funding budget of tertiary education institutions in OECD countries is performance based and hence depends on the overall institutional performance. The internal allocation of these funds to departments and/or researchers often depends on performance measures as well, see Box (2010) for the details of this survey.

  2. A perfectly competitive labor market (with firms at the large side and executives at the short side of the market) would, for instance, imply that competing firms have to distribute the complete produced surplus to their executives.

  3. For partnerships, where the firm (and its profits) belongs to the partners, this question might be of special importance.

  4. The individual input might not coincide with the respective exerted labor because the relevant individual might be sabotaged by other players which reduces her respective input contribution.

  5. This is the basic difference to the literature on team compensation (initiated by Holmstrom (1982)) because there inputs and effort levels are not observable. The resulting problems of moral hazard do not exist in the cooperative production set-up as there is no incomplete information with respect to input contributions. However, the problem of providing incentives still remains because input contributions cannot be enforced as agents react strategically.

  6. Sabotage activity is assumed to be non-contractable because it is either non-observable, illegal, or both. As individual labor is also non-observable, the sharing rule must be based on contractable individual input contributions.

  7. I thank Jenny de Freitas for suggesting this interpretation. A similar argument is used in Acemoglu and Robinson (2000) where the reasons for extending the franchise in the nineteenth century are analyzed. Basically, extension of the franchise is here used as a credible commitment device for future redistribution that lowers the probability of social unrest by the poor.

  8. Those models are based on contest games as in Konrad (2000), tournaments in the spirit of Lazear (1989) as in Chen (2003), Kräkel (2005), or Münster (2007), sequential all-pay auctions as in Amegashie and Runkel (2007), or collective tournaments as in Gürtler (2008). For experimental studies see Harbring et al. (2007), and Gunnthorsdottir and Rapoport (2006).

  9. This specification implies that there exists an implicit third alternative, which is leisure.

  10. This type of parametrized sharing rule is also applied in the context of natural team sharing by Fabella (1988), as well as group contests by Nitzan (1991). For a discussion of a different class of sharing rules, see Sect. 4.2.

  11. For instance, \(\alpha =1\) would yield the proportional sharing rule, while \(\alpha =0\) would imply equal sharing among the managers.

  12. This game has a two-stage structure where the managers best respond to each other in the second stage, taking the specific parameter value \(\alpha \) (that governs the respective weight on proportional sharing, i.e., the amount of relative compensation) as given because it has been specified ex-ante in the first stage.

  13. As first order conditions are highly non-linear even in this simple set-up, no analytical solution in closed form exists. The results reported in Table 1 are the numerically calculated solutions of the system of first order conditions given the grid of sensitivity parameters. Based on these solutions it can be shown that utility functions are strictly concave in each equilibrium allocation presented in Table 1. Under the assumption that the equilibrium is symmetric (which holds for all parameter values of \(\alpha \) that are presented in the table), at least a partial analytical solution can be obtained:

    $$\begin{aligned} l_i^*&= \frac{(1+2\alpha )^{2/3}}{2\cdot 2^{2/3}(1+s_{ij})^{1/3}},\quad \text{ for } i\in \left\{ A,B\right\} \\ s_{ij}^*&= \left\{ \begin{array}{l} 0 \text{ if } \alpha \le \frac{1}{2}\\ {\bar{s} \text{ if } \alpha > \frac{1}{2}} \end{array}\right. ,\quad \text{ for } i\ne j, \end{aligned}$$

    where \(\bar{s}>0\) is the solution to a polynomial equation of degree \(8\) (details are available on request).

  14. For this specific functional form and grid production (measured as \(f({r^A}^*+{r^B}^*)\)) is strictly increasing in the parameter \(\alpha \) which implies that overproduction dominates sabotage. For an example where this is not the case, see Sect. 4.1.

  15. These assumptions are standard in the sense that they guarantee that effective input is well behaved in labor and sabotage activities. The functional form \(r^i=l_i/(1+s_{ji})\), that is used in Sect. 2, is one example that satisfies all these assumptions. Another more general functional form that satisfies all assumptions is the following: \(l_i^\beta /(1+\sum _{j\ne i}s_{ji}^\gamma )\) with \(\beta ,\gamma \in (0,1]\).

  16. These assumptions are again standard in the sense that they guarantee that the utility functions are well behaved. One example that satisfies these assumptions is the payoff function used in Sect. 2.

  17. The intuition for the last mentioned statement is also straight forward from an individual perspective: Here, the loss in production that results from sabotage activity (and the additional individual cost from sabotage) is more than compensated by the relatively high weight on the proportional sharing that rewards the individual input contribution more than equal sharing. However, all individuals replicate this strategic behavior which induces an inefficient outcome because the same outcome could have been produced with less input and zero sabotage.

  18. Underproduction as a consequence of compensation schemes that are purely based on team performance (which would coincide with equal sharing) is also called the ‘1/n-problem’ in the management science literature. Some studies that provide empirical evidence for this phenomenon are surveyed in Prendergast (1999), p. 39 f.

  19. It is not possible to show that utility functions are globally concave. Moreover, the model is neither a supermodular nor an aggregative game.

  20. Solving this equation based on the specific functional forms of the illustrative example presented in Sect. 2 yields the expression mentioned in footnote 13 for the case of zero sabotage.

  21. This result is in contrast to Konrad (2000) and the homogeneous version of Beviá and Corchón (2006) as their condition for zero sabotage becomes less strict if there are more individuals.

  22. In this case the proportional sharing rule (\(\alpha =1\)) induces an efficient allocation in equilibrium, a result that is also derived in Fabella (1988). The reason for this result is that a linear production function does not induce any externality for this kind of set-up.

  23. It can be shown that asymmetric equilibria do neither exist for the specific functional form used in Sect. 2, nor for the specific functional form used in Sect. 4.1.

  24. The question whether this insight also holds in the general model cannot be answered based on the methods used in this paper.

  25. In the literature on contests, the relation between aggregate input and the contested prize is frequently analyzed, see Konrad (2009). However, in models of cooperative production there does not exist a comparable benchmark because in those models the prize is endogenous.

  26. Note also, that the optimal value \(\alpha ^*\) for maximizing welfare is identical in the two examples, i.e., it is not affected by the increase in the effectiveness of sabotage. This is in line with the theoretical results from the general model, because the optimal \(\alpha ^*\) only depends on the elasticity of production and not on the specifics of the utility function.

  27. Replicating the theoretical analysis presented in Sect. 3 for this contest success function does not seem to be tractable, such that the discussion is here restricted to symmetric equilibria from the start on.

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Acknowledgments

I would like to thank Carmen Beviá for pointing out the original problem, several discussions and advice. I also benefited from comments by David Wettstein and Wolfgang Leininger. The very detailed comments of two anonymous referees helped to substantially improve the scope and the presentation of the paper.

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Appendix

Appendix

Proof of Lemma 1

Claim 1: \(\mathbf s^e =\mathbf 0 \).

The proof of the claim follows by contradiction. Suppose that an allocation is efficient where at least one individual \(j\in N\) exerts positive amounts of sabotage activity. Denote this allocation as \((\mathbf x',l',s' )\) where for at least one \(k\ne j\) \(s'_{jk}>0\). This implies that \(l'_k>0\) because otherwise sabotaging agent \(k\) would not have any affect (because \(\frac{\partial r^k}{\partial s_{jk}}=0\) for \(l_k=0\) by assumption). However, this allocation is strictly dominated by an allocation where individual \(j\) refrains from sabotage and the additional produced output is, for instance, equally distributed to all individuals. Formally such an allocation can be expressed as \((\hat{\mathbf{x }},\mathbf{l }',\hat{\mathbf{s }})\) where \({\hat{\mathbf{s }}}=({\hat{\mathbf{s }}_\mathbf{j }}=\mathbf{0 },\mathbf{s'_{-j} })\) and \(\hat{x}_i=x'_i+[f(\hat{R})-f(R')]/n>x'_i\). The last inequality follows from the fact that \(\hat{R}=\sum _{i\in N}r(l'_i,\hat{\mathbf{s }}^\mathbf{i })>\sum _{i\in N}r(l'_i,\mathbf s'^i )=R'\) because \(r(l'_k,\hat{\mathbf{s }}^\mathbf k )>r(l'_k,\mathbf s'^k )\) and \(r(l'_i,\hat{\mathbf{s }}^\mathbf i )=r(l'_i,\mathbf s'^i )\) for all \(i\ne k\). Note that feasibility still holds because \(\sum _{i\in N}\hat{x}_i=f(\hat{R})\).

This implies that \(u(\hat{\mathbf{x }}_\mathbf{i },\mathbf{l }'_\mathbf{i },\hat{\mathbf{s }}_\mathbf{i })>u(\mathbf {x'_i,l',s'_i} )\) for all \(i\ne j\) because \(\hat{x}_i>x'_i\) and \(\hat{\mathbf{s }}_i=s'_i\) but also that \(u(\hat{\mathbf{x }}_\mathbf{j },\mathbf{l }'_\mathbf{j },\hat{\mathbf{s }}_\mathbf{j })>u(\mathbf x'_j,l'_j,s'_j )\) because \(\hat{x}_j>x'_j\) and \(\hat{s}_{jk}=0<s'_{jk}\). Hence, an allocation \((\mathbf x',l',s' )\) where some individual exerts positive amounts of sabotage activity cannot be pareto-efficient because \((\hat{\mathbf{x }},\mathbf{l }',\hat{\mathbf{s }})\) is preferred by all individuals.

Claim 2: \((\mathbf x^e,l^e )\) satisfies Eqs. (2) and (3).

A pareto-efficient allocation in this set-up can be expressed as the set of feasible allocations that maximizes the following weighted linear social welfare function \(\sum _{i\in N}\lambda _i u(x_i,l_i)\) where \(\lambda _i>0\) for all \(i\in N\) [by Negishi’s theorem, see Proposition 16.E.1 and 16.E.2 in Mas-Colell et al. (1995)]. The first order conditions of an (interior) solution to this maximization problem can be formulated as in Eqs. (2) and (3). As the maximization problem is well behaved (positive amounts of sabotage activities are ruled out by Claim 1), first order conditions are also sufficient. \(\square \)

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Franke, J. Equal, proportional, and mixed sharing of cooperative production under the threat of sabotage. J Econ 113, 253–273 (2014). https://doi.org/10.1007/s00712-013-0371-3

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