Abstract
I analyse the welfare impact of a mixed market with a private or public firm that is characterised by wider objectives or altruism, in the presence of an agency problem. Contrary to some earlier findings, the total surplus turns out to be increasing in the degree of altruism. This impact is stronger than without an agency problem, despite more stringent conditions for the market to remain mixed. The altruistic firm is more cost efficient, and viable if the market can remain mixed. A competition policy that encourages entry may increase welfare, but its scope is reduced by higher altruism.
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Notes
Cabral and Riordan (1997, p. 160) call an action predatory if it reduces the likelihood that rivals remain viable and if a different action would be more profitable without threatening the rivals’ viability. While this definition might also apply to some forms of altruism, it would be reasonable to outlaw such behaviour only when it conflicts with a firm’s objectives (De Fraja 2009).
Some other approaches to keep an oligopoly mixed are described in Willner (2006).
It might be argued that the study of wider objectives or antitrust policies cannot be very interesting if dealing with those few markets where entry conditions and technology tend to favour a fragmented structure.
For example, the manager of a firm with wider objectives can be given a stronger profit incentive so as to avoid an excessive output that would lead to high marginal costs.
Note that the consumer surplus CS is increasing in \(x\) for all \(x < a\). As shown in 5.1, we get the same results when defining altruism in terms of a weight for CS. This also means that the analysis is not applicable on industries where CS is not increasing in output (such as in the arms industry). The objective function \(\alpha x+\pi _{1}\) may also reflect political opportunism, but such opportunism may be socially beneficial at least in a monopoly under reasonable conditions (Willner 2001).
Firms are here managerial by assumption, but it can also be a dominant strategy to delegate at least the output decision to a hired manager (Kopel and Brand 2012).
Strictly speaking, this assumption implies an infinite range of \(u\), but it is a convenient simplification also if \(u\epsilon [-\overset{\frown }{u}, \overset{\frown }{u}]\) and if the distribution is bell-shaped and such that \(\sigma ^2\approx (\overset{\frown }{u}/3)^2\).
The monopoly model in P&P is a special case of this more general analysis. The normalisation of the slope of the demand function is innocuous.
A similar monotone relationship as above appears also in Kopel and Brand (2012), who model the endogenous delegation of the output choice, assuming given marginal costs. This may seem surprising also given Matsumura (1998), who suggests that a higher weight for CS is not always beneficial and that maximisation of \(CS+\pi _{1}\) is never optimal. (See also Sect. 5.1).
The optimal price for a conventional owner (\(\sigma =0\)) would at least allow for breaking even, whereas a dislike for customers \((\sigma < 0)\) would be allowed to set \(p=c+\vert \sigma \vert \) (thus making \(D\) decreasing in \(\sigma \)).
Note that this analysis is approximate, because \(n\) must be an integer.
Using (4.11) would in fact yield 2.9529 for \(\phi =5\), but it turns out that the total surplus is higher if there are two rather than three profit maximisers.
Strictly speaking, M:s version of the government’s objective function is \(U_{G}= TS+\beta CS,\) where \(\beta \) is a nonnegative weight parameter. The public firm maximises \(\rho {U}_{G}+(1-\rho )\pi _{1}\), where \(\rho \) is another nonnegative weight parameter. However, these details are immaterial.
Note that the difference can go both ways, as when the public sector offers basic healthcare to those who cannot afford a superior private service.
Competition where some firms rely on intrinsic motivation which can also be crowded out may provide a useful extension. As a referee pointed out, intrinsic motivation may also explain why some firms are altruistic in the first place.
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Acknowledgments
The first version of this paper was prepared when I was visiting the Department of Economics, University of Warwick. I am grateful for its hospitality and for constructive response from its Staff Workshop. I am also indebted to Mehdi Feizi and other participants in the annual conference of the European Network on Industrial Policy, Reus, June 2010, to Heikki Taimio and other participants in the XXXIIIth Annual Meting of the Finnish Economic Association, Oulu, March 2011, to participants at a seminar arranged by Aboa Centre for Economics, Turku, March 2011, and to the editor and referees of this journal. The research is funded by an Academy Finland Research Grant (130986), as part of the Academy of Finland project Reforming Markets and Organisations (115003). Sonja Grönblom (in the same project) has also provided helpful comments.
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Appendix A
Appendix A
Proof of Lemma 1
Use (3.1)–(3.3) to write the total surplus for the case \(\alpha =0\) as
To get (3.6), calculate the percentage difference as defined by (3.4) and simplify. \(\square \)
Proof of Proposition 1
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(i)
Output is higher in firm 1 because of (4.3) and (4.4). The expected marginal costs \(c_{0}-e_{1}\) and \(c_{0}-e_{p}\) are lower in firm 1 because of (4.6) and (4.7). The expected average costs \(c_{0}-e_{1}+\phi e_1^2 /2x_1 \) and \(c_{0}-e_{p}+\phi e_p^2 /2x_p \) are also lower in firm 1, as follows from (4.3)–(4.4) and (4.6)–(4.7).
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(ii)
Note that the weighted average \(\bar{e}\) = (\(x_{1}e_{1}+ x_{p}e_{p})\)/\(x\) is
$$\begin{aligned} \bar{e}=\frac{A+B\alpha +C\alpha ^2}{(D+\alpha )E}, \end{aligned}$$(7.2)where
$$\begin{aligned} A&= (n+1)(\phi -1)^2(a-c_0 )^2,\end{aligned}$$(7.3)$$\begin{aligned} B&= 2(\phi -1)^2(a-c_0 ),\end{aligned}$$(7.4)$$\begin{aligned} C&= \phi ^2(n^2+3n+1)-2(n+1)\phi +1,\end{aligned}$$(7.5)$$\begin{aligned} D&= (n+1)(a-c_0 ),\end{aligned}$$(7.6)$$\begin{aligned} E&= \left[ {(n+2)\phi -1} \right](\phi -1)^2. \end{aligned}$$(7.7)Differentiating with respect to \(\alpha \) and rearranging shows that \(\bar{e}\) is increasing in \(\alpha \) if
$$\begin{aligned} BD-A+2CD\alpha +C\alpha ^2>0 \end{aligned}$$(7.8)and vice versa. Note that \(C>0\) because the roots of the equation \(C=0\) are complex for \(n>0\). It is also obvious that \(BD>A\). The average marginal costs are therefore decreasing in \(\alpha \), and it follows from the proof of part (i) that the weighted average of the unit costs is decreasing in \(\alpha \). Part (ii) is thereby proved.
Proof of Proposition 2
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(i)
Use (4.3)–(4.8) and add \(CS=x^{2}/2\) to the profits, which are (\(p-c_{0}+e_{1})x_{1}-\phi e_1^2 /2x_1 \) and (\(p-c_{0}+e_{p})x_{p}-\phi e_p^2 /2x_p \). Rearranging yields (4.9). It is obvious that its second term is positive for all \(\alpha >\)0. TS is trivially increasing in \(\alpha \) if the third term is also positive; in the opposite case it is concave with a maximum for some value \(\alpha ^{M}\) of \(\alpha \):
$$\begin{aligned} \alpha ^M=\frac{\phi (1-\phi )^2(a-c_0 )}{(\phi -1)^3-(3n+n^2)\phi ^2+2n\phi }. \end{aligned}$$(7.9)TS can be decreasing in the relevant interval only if \(\alpha ^{M} <\) (\(\alpha -1\))(\(a-c_{0})\)/\(\phi \) (see Proposition 1). Suppose as an antithesis that this is the case:
$$\begin{aligned} \frac{\phi (1-\phi )^2(a-c_0 )}{(\phi -1)^3-(3n+n^2)\phi ^2+2n\phi }<\frac{(\phi -1)(a-c_0 )}{\phi }. \end{aligned}$$(7.10)This inequality can be satisfied only for the following values of \(\phi \):
$$\begin{aligned} \frac{2n+4}{12n+4n^2+8}>\phi >\frac{2n+2}{12n+4n^2+8}. \end{aligned}$$(7.11)It is obvious that this would require values of \(\phi \) below unity, which is ruled out by the assumption \(k>\)1. TS(\(\alpha \)) is therefore increasing in the relevant interval. Part (i) is thereby proved.
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(ii)
Suppose as an antithesis that there exist strictly positive values of \(n\) and values of \(\phi \) such that \(\phi > 1\) for which \(m_{1} > m_{2}\). Use Lemma 1 and (4.10) to rearrange the condition \(m_{1} > m_{2}\) to
Combine this with the inequality
so as to get
Set the left-hand side of (7.14) equal to zero and solve the equation:
These roots are complex unless the market is a monopoly (\(n=0\)). It follows that (7.14) is positive for all \(\phi >1\) and \(n>0\). Hence, the maximum percentage impact of altruism higher than in Sect. 3. \(\square \)
Proof of Lemma 3
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(i)
Differentiate (4.9) with respect to \(n\) when \(\alpha =0\) and set the derivative equal to zero:
$$\begin{aligned} \frac{-\phi n+2\phi ^2-4\phi +1}{(\phi n+2\phi -1)^3}=0. \end{aligned}$$(7.16)Solving for \(n\) yields \(\overset{\frown }{n} (0) \approx 2\phi -4 +1/\phi \). This is a maximum, because it is obvious that the derivative in question is decreasing in \(n\). Part (i) is thereby proved.
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(ii)
Differentiate \(\overset{\frown }{n}\)(0) with respect to \(\phi \). It follows that \(\overset{\frown }{n}\)(0) is minimised if \(\phi =\sqrt{2} \). However, as this would imply a negative \(\overset{\frown }{n}\)(0), it follows that \(\overset{\frown }{n}\)(0) is increasing in \(\phi \) in the relevant area. Part (ii) is thereby proved.\(\square \)
Proof of Proposition 3
Differentiate (4.9) with respect to \(n\), rearrange and solve for an extreme value that has to be a maximum:
However, \(\alpha = \overset{\frown }{a} = (\phi -1)(a-c_{0})/\phi \) satisfies the polynomials both in the numerator and denominator. Use this to simplify the expression to get (4.11). Note that its numerator is decreasing and its denominator is increasing in \(\alpha \), so \(\overset{\frown }{n} (\alpha )\) must be decreasing. \(\square \)
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Willner, J. The welfare impact of a managerial oligopoly with an altruistic firm. J Econ 109, 97–115 (2013). https://doi.org/10.1007/s00712-012-0291-7
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DOI: https://doi.org/10.1007/s00712-012-0291-7