Abstract
This article formulates a mixed oligopoly in which a public firm competes with two private firms that may adopt corporate social responsibility (CSR). We then determine the optimal privatization policy and find that, depending on CSR level and cost differences among firms, either nationalization or full privatization can be optimal. For identical cost functions, we also show the optimal degree of privatization is decreasing with the level of CSR if private firms are homogeneous, while it is non-monotone with the CSR level in a significant heterogeneity of objectives among the firms. Our analysis suggests that CSR activities that affect the magnitude of heterogeneity among firms are crucial in choosing an optimal privatization policy in a mixed oligopoly.
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Notes
In an OECD report, Kowalski et al. (2013) noted that, among the 2000 largest public companies in the world, above 10% are either public firms or have significant government ownership. These government-associated companies’ sales are equivalent to approximately 6% of the global GDP. Further, above half (in terms of value) of all public firms in OECD countries are significant players in energy-related industries.
For example, China adopted a privatization policy to reform its public firms since 1978 and, thus, Chinese economists paid considerable attention to privatization and liberalization policies in social market economies.
For example, Yu and Lee (2011), Lee et al. (2013) and Cato and Matsumura (2015) discussed the relationship between privatization and trade policies, while Lin and Matsumura (2012), Cato and Matsumura (2012) and Xu et al. (2017) considered foreign penetration in private firms’ ownership. Lee and Hwang (2003), Wang and Chen (2010) and Chen (2017) mentioned cost differences between public and private firms, while Xu et al. (2016) and Xu and Lee (2018) noted the shadow costs of soft budgeting in public firms.
Matsumura and Okamura (2015) investigated a model, in which private firms are concerned with other private firms’ profits. However, they did not consider the heterogeneity of objectives among private firms.
In Sect. 2, we provide a brief introduction of CSR in the theoretical economics literature.
As an exception, Matsumura and Kanda (2005) provided the rationale for full nationalization policy on a free-entry mixed oligopoly market. However, Cato and Matsumura (2012) showed partial privatization is always optimal when competitors are foreign. Further, Lee et al. (2018) and Xu et al. (2017) showed partial privatization is also optimal when the entry-then-privatization policy is implemented, irrespective of foreign penetration.
For his subsequent research, see also Porter and Van der Linde (1995) and Porter and Kramer (2006). In the recent literature, for example, Lambertini and Tampieri (2015), Liu et al. (2015), Hirose et al. (2017) and Lee and Park (2018) explained how corporate environmentalism is desirable for both firms and society.
Note that CSR firms can earn higher profits, but higher degree of CSR might not be beneficial to the society. On this point, see Goering (2012), Kopel and Brand (2012), Brand and Grothe (2013, 2015), Liu et al. (2015), Lambertini and Tampieri (2015), Planer-Friedrich and Sahm (2016), Fanti and Buccella (2017) and Hino and Zennyo (2017).
Some contributors focus on the effects of firms’ CSR on competition under various aspects such as the environmental outcomes (Lambertini and Tampieri 2015; Leal et al. 2018; Garcia et al. 2018), entry game (Fanti and Buccella 2017) and managerial delegation (Goering 2008; Kopel and Brand 2012; Kopel 2015).
This model setup is for the sake of expositional convenience to represent the heterogeneity of the CSR activities of private firms, and thus it could be extended to the oligopoly model without further insights gained. For example, we can imagine that there are two-types of private firms in which the firms in the same type take the same degree of CSR activities.
The model with linear demand and quadratic cost functions is a standard formulation and popularly used in the literature on mixed oligopolies in order to rule out the uninteresting case of a public monopoly. Matsumura and Okamura (2015) provided the economic rationale behind this formulation.
This assumption is for analysis tractability. While some extant studies argue the public firm must be less efficient than the private firm, not all empirical studies support this view. See Megginson and Netter (2001).
It is easy to show that the second-order conditions are satisfied.
The proofs of all propositions are provided in “Appendix A”.
For an excellent explanation on the welfare-improving production substitution effect, see Lahiri and Ono (1988).
A rigorous explanation is provided in “Appendix C”.
From the viewpoint of strategic CSR, if we take the first-order condition from Eq. (5), i.e., \( \partial \pi_{i} /\partial \alpha_{i} = 0 \), we can check whether the firm might use CSR activities as an instrument to increase its profit, which depends on the parameter values. For example, if both private firms have homogenous CSR, the profit-maximizing level of CSR is \( \alpha = \frac{{(k_{0} + \theta )(1 - \theta - k_{0} )}}{{2(k_{0}^{2} + \theta^{2} ) + 5(k_{0} + \theta ) + 4k_{0} \theta }} > 0 \) if \( k_{0} < 1 - \theta \). Thus, if \( k_{0} \ge 1 \), the strategic level of CSR is always zero in our analysis. It also implies that higher degrees of CSR might be beneficial to society.
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This paper was supported by Wonkwang university in 2018.
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Appendices
Appendix A: Proofs
1.1 A1. Proof of Proposition 1
We consider the corner solutions because of the constraint \( 0 \le \theta \le 1 \). The analysis of maximizing welfare provides three following cases.
- (1-1)
For the optimality condition of nationalization, we have \( \left. {\frac{{\partial W^{*} (\theta )}}{\partial \theta }} \right|_{\theta = 0} = \frac{{A^{2} (2 - \alpha_{1} - \alpha_{2} ) \cdot f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} )}}{{2\left[ {2 + (4 - \alpha_{1} - \alpha_{2} )k_{0} } \right]^{3} }}.\;{\text{Thus}},\;{\text{if}}\;f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0,\;\theta^{*} = 0. \)
- (1-2)
For the optimality condition of full privatization, we have \( \left. {\frac{{\partial W^{*} (\theta )}}{\partial \theta }} \right|_{\theta = 1} = \frac{{A^{2} (2 - \alpha_{1} - \alpha_{2} ) \cdot g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} )}}{{2\left[ {6 - \alpha_{1} - \alpha_{2} + (4 - \alpha_{1} - \alpha_{2} )k_{0} } \right]^{3} }}.\;{\text{Thus}},\;{\text{if}}\;g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0,\;\theta^{*} = 1. \)
- (1-3)
Otherwise, we have an interior solution from the first-order condition under certain parameter ranges. Then, the optimal degree of partial privatization in (7) is derived from \( \frac{{\partial W^{*} (\theta )}}{\partial \theta } = 0 \). Thus, we have \( \theta^{*} \in (0,\;1) \) if \( k_{0}^{*} \le k_{0} \le k_{0}^{**} \) where \( k_{0}^{*} = \frac{{2\left[ {\alpha_{1} (1 - \alpha_{1} ) + \alpha_{2} (1 - \alpha_{2} )} \right]}}{{3(\alpha_{1}^{2} + \alpha_{2}^{2} ) + 4 + 2\alpha_{1} \alpha_{2} - 6(\alpha_{1} + \alpha_{2} )}} < k_{0}^{**} = \frac{{12 + 2\alpha_{1} \alpha_{2} - 3(\alpha_{1}^{2} + \alpha_{2}^{2} ) - 4(\alpha_{1} + \alpha_{2} )}}{{3(\alpha_{1}^{2} + \alpha_{2}^{2} ) + 4 + 2\alpha_{1} \alpha_{2} - 6(\alpha_{1} + \alpha_{2} )}}. \) In this case, we will check the second-order condition with the optimal degree of partial privatization in (7). Then, we can show that \(\frac{{\partial^{2} W(\theta^{*} )}}{{\partial \theta^{2} }} = - \frac{{A^{2} \left[ {(\alpha_{1} - \alpha_{2} )^{2} + 6(\alpha_{1} + \alpha_{2} - 2)} \right]^{4} }}{{16(2 - \alpha_{1} - \alpha_{2} )^{2} \cdot z(k_{0} ,\alpha_{1} ,\alpha_{2} )}} \le 0\;{\text{where}}\)
$$\begin{aligned} z(k_{0} ,\alpha_{1} ,\alpha_{2} ) &= \left\{ {k_{0} \left[ {(\alpha_{1} + \alpha_{2} )^{2} - 8(\alpha_{1} + \alpha_{2} ) + 16} \right] + \alpha_{1}^{2} + \alpha_{2}^{2} - 2(\alpha_{1} + \alpha_{2} ) + 6} \right\}^{3} > 0 \\ &\quad {\text{for}}\;k_{0} \ge 0.\end{aligned} $$□
1.2 A2. Proof of Proposition 2
From our definitions, necessary calculations provide that \( k_{0}^{*} = \frac{{2\left[ {\alpha_{1} (1 - \alpha_{1} ) + \alpha_{2} (1 - \alpha_{2} )} \right]}}{{D(\alpha_{1} ,\alpha_{2} )}} \) and \( k_{0}^{**} = \frac{{12 + 2\alpha_{1} \alpha_{2} - 3(\alpha_{1}^{2} + \alpha_{2}^{2} ) - 4(\alpha_{1} + \alpha_{2} )}}{{D(\alpha_{1} ,\alpha_{2} )}} \) where numerators in both equations are positive, i.e., \( 2\left[ {\alpha_{1} (1 - \alpha_{1} ) + \alpha_{2} (1 - \alpha_{2} )} \right] > 0 \) and \( 12 + 2\alpha_{1} \alpha_{2} - 3(\alpha_{1}^{2} + \alpha_{2}^{2} ) - 4(\alpha_{1} + \alpha_{2} ) > 0 \) for \( 0 \le \alpha_{i} < 1 \). Then, we can show that \( k_{0}^{**} < k_{0}^{*} < 0 \) if \( D \le 0 \) while \( 0 < k_{0}^{*} < k_{0}^{**} \) if \( D > 0 \). First, if \( D \le 0 \), we have \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \) for any \( k_{0} \). Proposition 1 implies that nationalization is always optimal. However, if \( D > 0 \), we have the following relations: If \( k_{0} \frac{ > }{ < }k_{0}^{*} \), \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} )\frac{ > }{ < }0 \) and if \( k_{0} \frac{ > }{ < }k_{0}^{**} \), \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} )\frac{ > }{ < }0 \). Proposition 1 implies the following optimal policies:
- (2-1)
If \( k_{0} < k_{0}^{*} \), \( \theta^{*} = 0 \) since \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \),
- (2-2)
If \( k_{0} > k_{0}^{**} \), \( \theta^{*} = 1 \) since \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \),
- (2-3)
If \( k_{0}^{*} \le k_{0} \le k_{0}^{**} \), \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \) and \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \). Then, the optimal degree of partial privatization is \( \theta^{*} \in (0,\;1) \). □
1.3 A3. Proof of Corollary 1
From Proposition 2, if \( \alpha_{i} \ge 0 \), we have \( k_{0}^{**} \ge 3 \).
1.4 A3. Proof of Proposition 3
We provide the general results on the optimal policies in Appendix B. Then, using the Appendix B, we can have the special results in Proposition 3 by assuming \( k_{0} = 1 \). In particular, we can define \( \;\alpha_{2}^{*} (1,\alpha_{1} ) \) that satisfies \( f(1,\;\alpha_{1} ,\;\alpha_{2} ) = 0 \), which is either \( \alpha_{2}^{ + } = \frac{{4 - \alpha_{1} + 2\sqrt {8\alpha_{1} - 6\alpha_{1}^{2} - 1} }}{5} \) or \( \alpha_{2}^{ - } = \frac{{4 - \alpha_{1} - 2\sqrt {8\alpha_{1} - 6\alpha_{1}^{2} - 1} }}{5} \) for \( \alpha_{1} \ge \frac{{4 - \sqrt {10} }}{6} \). Thus, we have two following relations:
- (3-1)
If \( \alpha_{1} > \frac{1}{{2(1 + 2k_{0} )}} \), then \( 0 < \alpha_{2}^{ - } < 1 < \alpha_{2}^{ + } \). Thus, if \( \alpha_{2} \frac{ < }{ > }\alpha_{2}^{ - } \), \( f(1,\;\alpha_{1} ,\;\alpha_{2} )\frac{ > }{ < }0 \) (see Proposition B1(2) in Appendix B).
- (3-2)
If \( \frac{{4 - \sqrt {10} }}{6} \le \alpha_{1} \le \frac{1}{{2(1 + 2k_{0} )}} \), then \( 0 < \alpha_{2}^{ - } < 1 < \alpha_{2}^{ + } \). Thus, \( f(1,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \) if \( \alpha_{2} \in (\alpha_{2}^{ - } ,\alpha_{2}^{ + } ) \) (see Proposition B1(3) in Appendix B).
We can also define \( \;\alpha_{2}^{**} (1,\alpha_{1} ) \) that satisfies \( g(1,\;\alpha_{1} ,\;\alpha_{2} ) = 0 \), which is either \( \tilde{\alpha }_{2}^{ + } (k_{0} ,\alpha_{1} ) = \frac{{1 + \sqrt {49 + 12\alpha_{1} - 36\alpha_{1}^{2} } }}{6} \) or \( \tilde{\alpha }_{2}^{ - } (k_{0} ,\alpha_{1} ) = \frac{{1 - \sqrt {49 + 12\alpha_{1} - 36\alpha_{1}^{2} } }}{6} \) where \( C(1,\;\alpha_{1} ) = 49 + 12\alpha_{1} - 36\alpha_{1}^{2} > 0 \). Then, \( \tilde{\alpha }_{2}^{ + } > 1 \) since \( C(1,\;\alpha_{1} ) > 25 \) and \( \tilde{\alpha }_{2}^{ - } < 0 \) since \( C(1,\;\alpha_{1} ) > 1 \) (see Proposition B2 in Appendix B). Thus, \( g(1,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \). As a result, we have \( \;\alpha_{2}^{**} < 0 < \alpha_{2}^{*} \). □
1.5 A4. Proof of Proposition 4
From Proposition 3, if \( k_{0} = 1 \) and \( \alpha_{2} < \alpha_{2}^{*} \), we have \( 0 < \theta^{*} < 1 \). Then, we can derive \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }} = \frac{{h(\alpha_{1} ,\alpha_{2} )}}{{(12 - \alpha_{1}^{2} - (6 - 2\alpha_{2} )\alpha_{1} - \alpha_{2}^{2} - 6\alpha_{2} )^{2} }}\;\,\frac{ > }{ < }\;\,0 \) where \( h(\alpha_{1} ,\alpha_{2} ) = (12\alpha_{2} - 38)\alpha_{1}^{2} + (128 - 76\alpha_{2} )\alpha_{1} - 12\alpha_{2}^{3} + 42\alpha_{2}^{2} + 16\alpha_{2} - 72 \), which is a convex function of \( \alpha_{1} \). Define \( \hat{\alpha }_{1} (\alpha_{2} ) = \frac{{32 - 19\alpha_{2} \pm 2\sqrt {(1 - \alpha_{2} )^{2} (9\alpha_{2}^{2} - 42\alpha_{2} + 85)} }}{{19 - 6\alpha_{2} }} \) which satisfies \( h(\alpha_{1} ,\alpha_{2} ) = 0 \). Then, \( 0 < \hat{\alpha }_{1}^{ - } (\alpha_{2} ) = \frac{{32 - 19\alpha_{2} - 2\sqrt {(1 - \alpha_{2} )^{2} (9\alpha_{2}^{2} - 42\alpha_{2} + 85)} }}{{19 - 6\alpha_{2} }} < 1 \) and \( \hat{\alpha }_{1}^{ + } (\alpha_{2} ) = \frac{{32 - 19\alpha_{2} + 2\sqrt {(1 - \alpha_{2} )^{2} (9\alpha_{2}^{2} - 42\alpha_{2} + 85)} }}{{19 - 6\alpha_{2} }} \) > 1 for \( \alpha_{2} \in (0,1) \). Therefore, \( \alpha_{1} \frac{ < }{ > }\hat{\alpha }_{1} \) if \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }}\frac{ < }{ > }0 \) with \( 0 < \hat{\alpha }_{1} (\alpha_{2} ) < 1 \) for all \( \alpha_{2} \). □
1.6 A5. Proof of Proposition 5
Using the same procedures in Proposition 1, we show that condition \( \left. {\frac{\partial W(\theta )}{\partial \theta }} \right|_{\theta = 1} \ge 0 \) never holds. Also, condition \( \left. {\frac{\partial W(\theta )}{\partial \theta }} \right|_{\theta = 0} \le 0 \) shows that \( \alpha \ge \frac{1}{3}\; \). Otherwise, the first-order condition for an interior solution should satisfy the following condition: \( \frac{\partial W}{\partial \theta } = \frac{{A^{2} (1 - \alpha )(1 - 3\alpha - 3\theta )}}{{2(3 + 2\theta - \alpha - \alpha \theta )^{3} }} = 0 \). Then, we have \( \theta^{*} = \frac{1}{3} - \alpha \). The second-order condition, \( \frac{{\partial^{2} W(\theta^{*} )}}{{\partial \theta^{2} }} \le 0 \), is satisfied. □
1.7 A6. Proof of Proposition 6
The first-order condition for an interior solution should satisfy the following condition: \( \frac{\partial W}{\partial \theta } = \frac{{A^{2} (2 - \alpha_{1} )[(\alpha_{1}^{2} + 6\alpha_{1} - 12)\theta + 5\alpha_{1}^{2} - 8\alpha_{1} + 4]}}{{2(6 + 4\theta - \alpha_{1} - \alpha_{1} \theta )^{3} }} = 0 \). Note that the second-order condition is satisfied. From (13), we obtain \( \theta^{*} = \frac{{5\alpha_{1}^{2} - 8\alpha_{1} + 4}}{{12 - (6 + \alpha_{1} )\alpha_{1} }} \) where \( 0 < \theta^{*} < 1\; \) for \( \alpha_{1} \in [0,1] \). We can also derive \( 0 < \hat{\alpha } = \frac{{32 - 2\sqrt {85} }}{19} = 0.713 \), which satisfies \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }} = 0 \). Then, we have \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }} = - \frac{{2(19\alpha_{1}^{2} - 64\alpha_{1} + 36)}}{{(\alpha_{1}^{2} + 6\alpha_{1} - 12)^{2} }}\tfrac{ < }{ > }0 \) when \( \alpha_{1} \frac{ < }{ > }\hat{\alpha } \). □
Appendix B: Alternative Approach on Optimal Privatization Policies
We will provide the comparable analysis with Proposition 2 in which the optimal policies are determined by \( \alpha_{i} \), given \( k_{0} \):
Proposition B1
Define\( B(k_{0} ,\;\alpha_{1} ) = 4(3k_{0} + 1)\alpha_{1} - 4(2k_{0} + 1)\alpha_{1}^{2} - 3k_{0} + 1 \). Then, if\( B(k_{0} ,\;\alpha_{1} ) \le 0 \), \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \ge 0 \). However, if\( B(k_{0} ,\;\alpha_{1} ) > 0 \), we have\( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \)if one of the following conditions holds:
- (B1-1)
For any\( k_{0} \), \( \alpha_{1}^{**} \le \alpha_{1} \le \alpha_{1}^{*} \)and\( \alpha_{2}^{ - } < \alpha_{2} < \alpha_{2}^{ + } \);
- (B1-2)
For\( k_{0} > 1/3 \), \( \alpha_{1} > \alpha_{1}^{*} \)and\( \alpha_{2} > \alpha_{2}^{ - } \);
- (B1-3)
For\( k_{0} \le 1/3 \), (i)\( \alpha_{1}^{ - } \le \alpha_{1} \le \alpha_{1}^{ + } \)and\( 0 < \alpha_{2} < 1 \), (ii)\( \alpha_{1}^{*} < \alpha_{1} < \alpha_{1}^{ - } \)or\( \alpha_{1} > \alpha_{1}^{ + } \)and\( \alpha_{2} > \alpha_{2}^{ - } \).
Proof of Proposition B1
Since \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \) is a convex function of \( \alpha_{2} \), we can easily show that \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \ge 0 \) if \( B(k_{0} ,\;\alpha_{1} ) \le 0 \). If \( B(k_{0} ,\;\alpha_{1} ) > 0 \), we can define \( \;\alpha_{2}^{*} (k_{0} ,\alpha_{1} ) \) that satisfies \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) = 0 \), which is either \( \alpha_{2}^{ + } = \frac{{1 + (3 - \alpha_{1} )k_{0} + \sqrt {(k_{0} + 1) \cdot B(k_{0} ,\;\alpha_{1} )} }}{{2 + 3k_{0} }} \) or \( \alpha_{2}^{ - } = \frac{{1 + (3 - \alpha_{1} )k_{0} - \sqrt {(k_{0} + 1) \cdot B(k_{0} ,\;\alpha_{1} )} }}{{2 + 3k_{0} }} \). Then, \( \alpha_{2}^{ + } \,\frac{ > }{ < }\;\,1 \) if \( B(k_{0} ,\;\alpha_{1} )\;\,\frac{ > }{ < }\;\,\frac{{(1 + \alpha_{1} k_{0} )^{2} }}{{1 + k_{0} }} \) and \( \alpha_{2}^{ - } \;\,\frac{ < }{ > }\;\;\,0 \) if \( B(k_{0} ,\;\alpha_{1} )\;\,\frac{ > }{ < }\;\,\frac{{[1 + (3 - \alpha_{1} )k_{0} ]^{2} }}{{1 + k_{0} }} \) where \( \frac{{(1 + \alpha_{1} k_{0} )^{2} }}{{1 + k_{0} }} < \,\frac{{[1 + (3 - \alpha_{1} )k_{0} ]^{2} }}{{1 + k_{0} }} \) for \( \alpha_{1} \in (0,1) \). Thus, we have the following relations:
- (1)
If \( B(k_{0} ,\;\alpha_{1} ) \ge \frac{{[1 + (3 - \alpha_{1} )k_{0} ]^{2} }}{{1 + k_{0} }} \), then \( \alpha_{2}^{ - } < 0 \) and \( \alpha_{2}^{ + } > 1 \). Thus, \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \). This case happens when \( \alpha_{1}^{ - } = \frac{{1 + 3k_{0} - \sqrt {(k_{0} + 1)(1 - 3k_{0} )} }}{{2 + 3k_{0} }} \le \alpha_{1} \le \alpha_{1}^{ + } = \frac{{1 + 3k_{0} + \sqrt {(k_{0} + 1)(1 - 3k_{0} )} }}{{2 + 3k_{0} }} \) for \( k_{0} \le 1/3 \).
- (2)
If \( \frac{{(1 + \alpha_{1} k_{0} )^{2} }}{{1 + k_{0} }} < B(k_{0} ,\;\alpha_{1} ) < \,\frac{{[1 + (3 - \alpha_{1} )k_{0} ]^{2} }}{{1 + k_{0} }} \), then \( 0 < \alpha_{2}^{ - } < 1 < \alpha_{2}^{ + } \). Thus, \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} )\frac{ > }{ < }0 \).if \( \alpha_{2} \frac{ < }{ > }\alpha_{2}^{ - } \). This case happens when (i) \( \alpha_{1} > \alpha_{1}^{*} = \frac{{k_{0} }}{{2 + 3k_{0} }} \) for \( k_{0} > 1/3 \) and (ii) either \( \alpha_{1}^{*} < \alpha_{1} < \alpha_{1}^{ - } \) or \( \alpha_{1} > \alpha_{1}^{ + } \) for \( k_{0} \le 1/3 \).
- (3)
If \( B(k_{0} ,\;\alpha_{1} ) \le \frac{{(1 + \alpha_{1} k_{0} )^{2} }}{{1 + k_{0} }} \), then \( 0 < \alpha_{2}^{ - } < \alpha_{2}^{ + } < 1 \). Thus, \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \) if \( \;\alpha_{2} \in (\alpha_{2}^{ - } ,\alpha_{2}^{ + } ) \). This case happens when \( \alpha_{1}^{**} = \frac{{1 + 3k_{0} - \sqrt {(k_{0} + 1)(3k_{0} + 2)} }}{{2(1 + 2k_{0} )}} \le \alpha_{1} \le \alpha_{1}^{*} \) for any \( k_{0} \).
Therefore, summarizing the cases for \( f(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \) < 0 yields the Proposition B1. □
Proposition B1 states (i) nationalization is never optimal if \( k_{0} \) is sufficiently large and \( \alpha_{i} \) is small, that is, \( B(k_{0} ,\;\alpha_{1} ) \le 0 \). However, (ii) nationalization is always optimal if \( k_{0} \) is sufficiently small and \( \alpha_{i} \) respects certain conditions (see Fig. 4). Note that we define: \( \alpha_{1}^{*} = \frac{{k_{0} }}{{2 + 3k_{0} }},\;\alpha_{1}^{**} = \frac{{1 + 3k_{0} - \sqrt {(k_{0} + 1)(3k_{0} + 2)} }}{{2(1 + 2k_{0} )}},\;\alpha_{1}^{ + } = \frac{{1 + 3k_{0} + \sqrt {(k_{0} + 1)(1 - 3k_{0} )} }}{{2 + 3k_{0} }},\;\alpha_{1}^{ - } = \frac{{1 + 3k_{0} - \sqrt {(k_{0} + 1)(1 - 3k_{0} )} }}{{2 + 3k_{0} }},\;\alpha_{2}^{ + } = \frac{{1 + (3 - \alpha_{1} )k_{0} + \sqrt {(k_{0} + 1) \cdot B(k_{0} ,\;\alpha_{1} )} }}{{2 + 3k_{0} }},\;{\text{and}}\;\alpha_{2}^{ - } = \frac{{1 + (3 - \alpha_{1} )k_{0} - \sqrt {(k_{0} + 1) \cdot B(k_{0} ,\;\alpha_{1} )} }}{{2 + 3k_{0} }}. \)
Proposition B2
Define\( C(k_{0} ,\alpha_{1} ) = 40 - 4(2k_{0} + 1)(k_{0} + 2)\alpha_{1}^{2} + 4(3k_{0} - 2)(k_{0} + 2)\alpha_{1} - 3k_{0} (k_{0} - 4) \). Then, if\( C(k_{0} ,\;\alpha_{1} ) > 0 \),\( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \). However, if\( C(k_{0} ,\;\alpha_{1} ) \le 0 \), we have\( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \le 0 \)if\( 0 < k_{0} \le \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} \)while\( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \)if one of the following conditions holds:
- (B2-1)
For\( \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} < k_{0} < \frac{{6 + 2\sqrt {39} }}{3} \), \( \hbox{max} [0,\;\,\alpha_{1}^{*} ] < \alpha_{1} \le \tilde{\alpha }_{1}^{ - } \)or\( \alpha_{1} > \tilde{\alpha }_{1}^{ + } \)and\( \alpha_{2} < \tilde{\alpha }_{2}^{ - } \);
- (B2-2)
For\( k_{0} \ge \frac{{6 + 2\sqrt {39} }}{3} \), (i)\( \alpha_{1} > \tilde{\alpha }_{1}^{*} \)and\( \alpha_{2} < \tilde{\alpha }_{2}^{ - } \), (ii)\( \tilde{\alpha }_{1}^{**} \le \alpha_{1} \le \tilde{\alpha }_{1}^{*} \)and\( \alpha_{2} < \tilde{\alpha }_{2}^{ - } \)or\( \alpha_{2} > \tilde{\alpha }_{2}^{ + } \).
Proof of Proposition B2
Since \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \) is a convex function of \( \alpha_{2} \), we can easily show that \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \) if \( C(k_{0} ,\;\alpha_{1} ) < 0 \). If \( C(k_{0} ,\;\alpha_{1} ) \ge 0 \), we can define \( \;\alpha_{2}^{**} (k_{0} ,\alpha_{1} ) \) that satisfies \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) = 0 \), which is either \( \tilde{\alpha }_{2}^{ + } (k_{0} ,\alpha_{1} ) = \frac{{(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2 + \sqrt {C(k_{0} ,\alpha_{1} )} }}{{3(1 + k_{0} )}} \) or \( \tilde{\alpha }_{2}^{ - } (k_{0} ,\alpha_{1} ) = \frac{{(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2 - \sqrt {C(k_{0} ,\alpha_{1} )} }}{{3(1 + k_{0} )}} \). Then, \( \tilde{\alpha }_{2}^{ + } \;\,\frac{ > }{ < }\;\,1 \) if \( C(k_{0} ,\alpha_{1} )\;\,\frac{ > }{ < }\;\,\left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} \) and \( \tilde{\alpha }_{2}^{ - } \;\,\frac{ > }{ < }\;\,0 \) if \( C(k_{0} ,\alpha_{1} )\;\,\;\frac{ < }{ > }\;\;\,\left[ {(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2} \right]^{2} \) where \( \left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} \;\,\frac{ > }{ < }\,\;\,\left[ {(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2} \right]^{2} \) if \( \alpha_{1} \frac{ > }{ < }\,\frac{{3k_{0} - 7}}{{2(k_{0} - 1)}} \). Thus, we have the following relations:
- (1)
If \( \alpha_{1} > \,\frac{{3k_{0} - 7}}{{2(k_{0} - 1)}} \), equivalently, if \( 1 < k_{0} < \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} \), we have \( C(k_{0} ,\alpha_{1} )\; \ge \left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} \) and \( C(k_{0} ,\alpha_{1} )\;\,\; > \;\;\,\left[ {(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2} \right]^{2} \). Then, \( \tilde{\alpha }_{1}^{ - } = \frac{{3k_{0} - 2 - \sqrt {40 - 3k_{0}^{2} + 12k_{0} } }}{{3(1 + k_{0} )}} < 0 \) and \( \tilde{\alpha }_{1}^{ + } = \frac{{3k_{0} - 2 + \sqrt {40 - 3k_{0}^{2} + 12k_{0} } }}{{3(1 + k_{0} )}} > 1 \). Thus, \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \) for \( 0 < \alpha_{1} < 1 \).
- (2)
If \( \alpha_{1} < \,\frac{{3k_{0} - 7}}{{2(k_{0} - 1)}} \), equivalently, if \( 0 < k_{0} < 1 \) or \( k_{0} > \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} \), we have \( C(k_{0} ,\alpha_{1} )\; \ge \left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} \). We have three cases.
- (2-1)
If \( C(k_{0} ,\alpha_{1} )\; \ge \left[ {(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2} \right]^{2} \), then \( \tilde{\alpha }_{2}^{ - } < 0 \) and \( \tilde{\alpha }_{2}^{ + } > 1 \). Thus, \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) < 0 \). This happens when \( \tilde{\alpha }_{1}^{ - } \le \alpha_{1} \le \tilde{\alpha }_{1}^{ + } \).
- (2-2)
If \( \,\left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} < C(k_{0} ,\alpha_{1} ) < \,\left[ {(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2} \right]^{2} \), then \( 0 < \tilde{\alpha }_{2}^{ - } < 1 < \tilde{\alpha }_{2}^{ + } \). Thus, \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) \)\( \frac{ > }{ < }0 \) if \( \alpha_{2} \frac{ < }{ > }\tilde{\alpha }_{2}^{ - } \). This case happens when (i) either \( \hbox{max} [0,\,\;\alpha_{1}^{*} ] < \alpha_{1} < \tilde{\alpha }_{1}^{ - } \) or \( \alpha_{1} > \tilde{\alpha }_{1}^{ + } \) for \( \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} < k_{0} < \frac{{6 + 2\sqrt {39} }}{3} \) and (ii) \( \alpha_{1} > \tilde{\alpha }_{1}^{*} \) for \( k_{0} > \frac{{6 + 2\sqrt {39} }}{3} \).
- (2-3)
If \( C(k_{0} ,\alpha_{1} )\; \le \;\,\left[ {\alpha_{1} (k_{0} - 1) + 5} \right]^{2} \), then \( 0 < \tilde{\alpha }_{2}^{ - } < \tilde{\alpha }_{2}^{ + } < 1 \). Thus, \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \) either if \( \alpha_{2} < \tilde{\alpha }_{2}^{ - } \) or \( \alpha_{2} > \tilde{\alpha }_{2}^{ + } \). This case happens when \( \,\tilde{\alpha }_{1}^{**} = \frac{{3k_{0}^{2} + 4k_{0} - 4 - (4 + k_{0} )\sqrt {3(k_{0} + 2)(k_{0} + 1)} }}{{2(k_{0} + 2)(2k_{0} + 1)}} \le \alpha_{1} \le \tilde{\alpha }_{1}^{*} . \)
Therefore, summarizing the cases for \( g(k_{0} ,\;\alpha_{1} ,\;\alpha_{2} ) > 0 \) yields the Proposition B2. □
Proposition B2 states (i) full privatization is never optimal if \( k_{0} \) is sufficiently small, that is, \( 0 < k_{0} \le \frac{{7 - 2\alpha_{1} }}{{3 - 2\alpha_{1} }} \). However, (ii) full privatization is always optimal if \( k_{0} \) is sufficiently large and \( \alpha_{i} \) follows certain conditions (see Fig. 5). Note that we define: \( \tilde{\alpha }_{1}^{*} = \frac{{k_{0} - 5}}{{3k_{0} + 1}} \), \( \tilde{\alpha }_{1}^{**} \, = \frac{{3k_{0}^{2} + 4k_{0} - 4 - (4 + k_{0} )\sqrt {3(k_{0} + 2)(k_{0} + 1)} }}{{2(k_{0} + 2)(2k_{0} + 1)}},\;\tilde{\alpha }_{1}^{ + } = \frac{{3k_{0} - 2 + \sqrt {40 - 3k_{0}^{2} + 12k_{0} } }}{{3(1 + k_{0} )}},\;\tilde{\alpha }_{1}^{ - } = \frac{{3k_{0} - 2 - \sqrt {40 - 3k_{0}^{2} + 12k_{0} } }}{{3(1 + k_{0} )}},\;\tilde{\alpha }_{2}^{ + } = \frac{{(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2 + \sqrt {C(k_{0} ,\alpha_{1} )} }}{{3(1 + k_{0} )}},\;{\text{and}}\;\tilde{\alpha }_{2}^{ - } = \frac{{(3 - \alpha_{1} )k_{0} + \alpha_{1} - 2 - \sqrt {C(k_{0} ,\alpha_{1} )} }}{{3(1 + k_{0} )}}. \)
2.1 Appendix C: Rigorous explanations on Proposition 6
We present a more detailed explanation. We first examine the sign of \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }} \). Let \( W_{\theta } (\alpha_{1} ) \) satisfy the optimal condition in \( \frac{\partial W}{\partial \theta } = 0 \). Then, from the implicit function theorem and the second-order condition of optimality, the sign of \( \frac{{\partial \theta^{*} }}{{\partial \alpha_{1} }} \) is the same as that of \( \frac{{\partial W_{\theta } }}{{\partial \alpha_{1} }} \). Then, we obtain the following relations:
The result confirms Proposition 4 in that the relation between \( \alpha_{1} \) and \( \theta^{*} \) is U-shaped, depending on the degree of CSR, \( \alpha_{1} \). Using this fact, we can provide the economic explanation with regard to Proposition 6.
When \( \alpha_{1} \) increases, \( q_{1} \) increases but both \( q_{2} \) and \( q_{0} \) decrease. Then, we have \( \left| {\frac{{\partial q_{1} }}{{\partial \alpha_{1} }}} \right| > \left| {\frac{{\partial q_{ - 1} }}{{\partial \alpha_{1} }}} \right| \). Again, a higher degree of CSR activities by firm 1 leads to an increase in the total industry output, and thus, the production substitution effect is beneficial to consumer surplus. However, when \( \alpha_{1} \) increases, firm 1 has to pay a higher cost while its rival firms can save their costs. This represents the existence of the cost reallocation effect. Therefore, the welfare effect also depends on the trade-off between the production substitution effect and the cost reallocation effect. In particular, if \( \alpha_{1} < \theta_{W} \), the relation between \( \alpha_{1} \) and \( \theta^{*} \) is negative, and thus the production substitution effect is dominated by the cost reallocation effect. However, the production substitution effect dominates the cost reallocation effect if \( \alpha_{1} < \tilde{\theta }_{1} \), while the production substitution effect is outweighed by the cost reallocation effect if \( \alpha_{1} > \tilde{\theta }_{1} \) in Fig. 3.
Therefore, when deciding the optimal degree of privatization, the welfare effect depends on \( \alpha_{1} \). On the one hand, when \( \alpha_{1} < \tilde{\theta }_{1} \), and thus when the public firm produces more output than the other private firms, welfare increases as \( \alpha_{1} \) increases because the production substitution effect dominates cost reallocation effect. Thus, the government decreases the degree of privatization in order to increase the outputs of firm 0 and the industry, that is, \( \;\left| {\frac{{\partial q_{0} }}{\partial \theta }} \right| > \left| {\frac{{\partial q_{ - 0} }}{\partial \theta }} \right| \). This will decrease the marginal output substitution effect but increase the marginal cost reallocation effect, so that the two marginal benefits will be the same at a lower level of privatization.
On the other hand, when \( \alpha_{1} > \tilde{\theta }_{1} \) and thus the CSR-firm 1 produces more output than the other private and public firms, welfare decreases as \( \alpha_{1} \) increases because the production substitution effect is outweighed by cost reallocation effect. In that case, we have two cases.
First, when \( \tilde{\theta }_{1} < \alpha < \hat{\alpha } \), at which \( \hat{\alpha } \) satisfies \( \theta^{*} = \theta_{W} \), welfare decreases as \( \alpha_{1} \) increases. In that case, the output difference between CSR-firm 1 and the public firm is relatively small. Thus, the government still decreases the degree of privatization in order to increase the outputs of firm 0 and the industry, that is, \( \;\left| {\frac{{\partial q_{0} }}{\partial \theta }} \right| > \left| {\frac{{\partial q_{ - 0} }}{\partial \theta }} \right| \). This will increase the marginal production substitution effect, which is larger than the increment of the marginal cost reallocation effect. Thus, the two marginal benefits will be the same at a lower level of privatization.
Second, however, when \( \hat{\alpha } \) < \( \alpha_{1} \), welfare increases as \( \alpha_{1} \) increases. In that case, the output difference between CSR-firm 1 and the public firm is relatively large. Then, the government increases the degree of privatization in order to decrease the output of firm 0, which induces an increase in other firms’ outputs but a decrease in industry outputs, that is, \( \left| {\frac{{\partial q_{ - 0} }}{\partial \theta }} \right| < \left| {\frac{{\partial q_{0} }}{\partial \theta }} \right| \). This will decrease marginal benefit of the production substitution effect. In that case, however, the CSR-firm is less sensitive to the change in the public firm, and thus, it will decrease the marginal cost reallocation effect even further. Thus, the two marginal benefits will be the same at a higher degree of privatization. Thus, the positive relations between \( \alpha_{1} \) and \( \theta^{*} \) becomes steeper, as \( \alpha_{1} \) increases. Therefore, \( \theta^{*} \) takes a U-shape in \( \alpha_{1} \).
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Kim, SL., Lee, SH. & Matsumura, T. Corporate social responsibility and privatization policy in a mixed oligopoly. J Econ 128, 67–89 (2019). https://doi.org/10.1007/s00712-018-00651-7
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DOI: https://doi.org/10.1007/s00712-018-00651-7
Keywords
- Corporate social responsibility
- Mixed oligopoly
- Partial privatization
- Nationalization
- Full privatization