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Delegation, R&D and competitiveness in a Bertrand duopoly

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Abstract

This paper studies the profitability of centralized investments in R&D versus decentralized price determination in a duopoly for Bertrand consumer markets. As a direct effect, R&D investments lower the firm’s production costs and thus increase c.p. the firm’s profits. However, as an indirect effect, lowering production costs causes market reactions and alters the competition between the firm and its competitors. In the extreme, aggressive competition can occur that diminish an investing firm’s profits. Delegating the price decision using an incentive contract distorts a manager’s perceived costs and induces a virtual cost increase in equilibrium. Trading off the factual cost reduction against a virtual cost increase we find that competition makes strategic delegation more attractive compared to investments in R&D. If firms are allowed to apply both strategies in combination, they concentrate on just one of them for strategic considerations.

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Notes

  1. These strategies are also of practical interest as (voluntary) disclosure of innovation expenditures and management salary is common in some industries and countries. Studies of Zantout and Tsetsekos (1994) and Park et al. (2001) provide evidence that such disclosure can serve as credible commitment.

  2. Neus and Nippel (1996) provide an excellent review about the concept of strategic behavior and determinants of commitment strategies.

  3. Modeling decentralization we follow the strategic delegation literature. Thus, agency aspects are not considered.

  4. Fudenberg and Tirole (1984) define over- and underinvestment as a firm’s investment decision compared to that in an open-loop equilibrium, in which the firm takes the competitor’s action as given and does not try to influence him through its choice of investment. Thus, over- or underinvestment is the component that determines a strategy as a commitment strategy.

  5. In a recent study, comparing different bonus systems as pure profits, sales, market share and relative performance, Jansen et al. (2009) conclude that relative performance is superior throughout. In a different setting Dierkes (2004) investigates that relative performance is also superior to the performance evaluation based on adjusted costs.

  6. As equilibria are symmetric with respect to \(\Uptheta , \) considering complements does not change our findings. However, it is worth to mention that in a model including commitment strategies, in price (quantity) competition these strategies always appear to be underinvestment (overinvestment) strategies, regardless if products are substitutes or complements. Thus, Singh and Vives’ (1984) finding of quantity competition with strategic substitutes being the dual of price competition with strategic complements, does not hold in this multi-stage setup.

  7. For a more detailed presentation of parameter restrictions in R&D games see Qiu (1997).

  8. Presenting the manager’s compensation more accurately, total compensation of a manager is given by TC i  = F i  + B i M i , where F i is a fixed component and B i is the bonus rate. Each owner selects the compensation package such that \(TC_{i}\geq \overline{U}\) holds, where the constant \(\overline{U}\) denotes the reservation utility of the manager (the amount the manager can earn elsewhere). Since owners will not overpay managers, \(TC_{i}=\overline{U}\) holds. Therefore, from an incentive point of view the constant in the owner’s objective function and F i and B i of the manager’s compensation contract can be neglected.

  9. Suppose the implementation of each strategy requires up front fixed cost investments F. This investments are small compared to achievable profits, F ≪ π i , and thus do not affect strategic considerations. However, firms might be budget constrained at t = 1 with budget B. If F < B < 2F holds, then they are not able to finance both strategies and have to select one among the available strategies.

  10. If the equilibrium value of x i  ≠ x I+ i , then x i is defined as a commitment strategy.

  11. Here \(x_{i}^{II+}\) indicates the optimal R&D investments of firm i if both firms innovate without strategic considerations. Thus, each firm determines its R&D level without taking the reaction of the competitor into account.

  12. As the expressions for the respective frontiers are quite intricate we abstract from presenting them in the paper. But they can be provided on request.

  13. We provide equilibrium values in Appendix B.

  14. Kopel and Löffler (2008) observe an identical behavior in a Stackelberg duopoly with Cournot competition and homogeneous products, where owners offer their managers sales quantity based incentive contracts. But their result of sticking to one single commitment strategy is inter alia driven by the very special property of their model that delegation and R&D have the same strategic effect (Kopel and Löffler 2008, p. 159). Thus, these strategies are perfect substitutes.

    Applying the Stackelberg set-up to our model, we investigate that, similar to the game at hand, the follower can choose between two strategy paths. Checking for stability and subgame perfection, we can confine this to just one subgame perfect equilibrium strategy where the follower implements only the delegation strategy for strategic considerations. Furthermore, beside the time leadership the leader does not use any additional strategy as a commitment device. This result acknowledges Kopel and Löffler’s finding and proofs that their result is not just the outcome of the special model specifications.

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Acknowledgments

We are grateful to Thomas Pfeiffer and the participants of the EARIE 2008 in Ljubljana for detailed comments and feedback. This paper has significantly improved thanks to the suggestions of Ralf Ewert (editor) and two anonymous referees.

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Correspondence to Clemens Löffler.

Appendix

Appendix

1.1 Appendix A

1.1.1 Standard Bertrand equilibrium

In the well known Bertrand equilibrium solutions are:

$$ \begin{aligned} p^{B} & = c+\frac{\left( a-c\right) \left( 1-\Uptheta \right) }{2-\Uptheta } \\ q^{B} & = \frac{a-c}{2+\Uptheta -\Uptheta^{2}} \\ \pi^{B} & = \frac{(a-c)^{2}(1-\Uptheta )}{(2-\Uptheta )^{2}(\Uptheta +1)}. \\ \end{aligned} $$

1.1.2 Subgame II: both commit by innovation

The values for pqx and π in this subgame are

$$ \begin{aligned} p^{II} & = c+\frac{\left( a-c\right) \left( r\left( \left( 2-\Uptheta^{2}\right)^{2}-\Uptheta^{2}\right) -2\left( 2-\Uptheta^{2}\right) \right) }{ r(\Uptheta +1)(\Uptheta +2)(\Uptheta -2)^{2}-2\left( 2-\Uptheta^{2}\right) } \\ q^{II} & = \frac{(a-c)r\left( 4-\Uptheta^{2}\right) }{r(\Uptheta +1)(\Uptheta +2)(\Uptheta -2)^{2}-2\left( 2-\Uptheta^{2}\right) }\\ x^{II} & = \frac{2(a-c)\left( 2-\Uptheta^{2}\right) }{r(\Uptheta +1)(\Uptheta +2)(\Uptheta -2)^{2}-2\left( 2-\Uptheta^{2}\right) }\\ \pi^{II} & = \frac{(a-c)^{2}r\left( r(1-\Uptheta^{2})\left( \Uptheta^{2}-4\right)^{2}-2\left( \Uptheta^{2}-2\right)^{2}\right) }{\left( r(\Uptheta +1)(\Uptheta +2)(\Uptheta -2)^{2}-2\left( 2-\Uptheta^{2}\right) \right)^{2}}. \end{aligned} $$

1.1.3 Subgame DD: both commit by delegation

The outcome of this subgame is

$$ \begin{aligned} p^{DD} & = c+\frac{\left( a-c\right) 2\left( 1-\Uptheta \right) }{4-\Uptheta (2+\Uptheta )} \\ q^{DD} & = \frac{(a-c)\left( 2-\Uptheta^{2}\right) }{(\Uptheta +1)(4-\Uptheta (2+\Uptheta ))} \\ \alpha^{DD} & = 1+\frac{(a-c)\left( 1-\Uptheta \right) \Uptheta^{2}}{4-\Uptheta (2+\Uptheta) } \\ \pi^{DD} & = \frac{2(a-c)^{2}(1-\Uptheta )\left( 2-\Uptheta^{2}\right) }{ (1+\Uptheta )\left( 4-\Uptheta (2+\Uptheta \right)^{2})}. \end{aligned} $$

1.1.4 Subgames ID and DI: one firm innovates, the other delegates

The solution of this subgame is

$$ \begin{aligned} p_{1}^{ID} &= p_{2}^{DI}=c+\frac{(a-c)(1-\Uptheta )(4+(2-\Uptheta )\Uptheta )\left( 2\left( 2-\Uptheta^{2}\right) -r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) \right) }{2\left( 2-\Uptheta^{2}\right) \left( 4-3\Uptheta^{2}-2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) \right) } \\ p_{1}^{DI} &= p_{2}^{ID}=c+\frac{(a-c)\left( 1-\Uptheta^{2}\right) \left( 4-2\Uptheta^{2}-r(2-\Uptheta )(1-\Uptheta )(2+\Uptheta )^{2}\right) }{\left( 2-\Uptheta^{2}\right) \left( 4-3\Uptheta^{2}-2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) \right)} \\ q_{1}^{ID} &= q_{2}^{DI}=\frac{(a-c)r(\Uptheta -2)(\Uptheta -1)(\Uptheta +2)((\Uptheta -2)\Uptheta -4)}{2\left( \Uptheta^{2}-2\right) \left( 2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +3\Uptheta^{2}-4\right) } \\ q_{1}^{DI} &= q_{2}^{ID}=\frac{(a-c)\left( r(\Uptheta -2)(\Uptheta -1)(\Uptheta +2)^{2}+2\Uptheta^{2}-4\right) }{4r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +6\Uptheta^{2}-8} \\ \alpha_{1}^{DI} & = \alpha_{2}^{ID} \\ & = 1 + \frac{(a-c)\Uptheta^{2}\left( 1-\Uptheta^{2}\right) \left( r(2-\Uptheta )(1-\Uptheta )(\Uptheta +2)^{2}+2\Uptheta^{2}-4\right) }{a(1-\Uptheta )\Uptheta^{2}(\Uptheta +1)\left( r(2-\Uptheta)(1-\Uptheta )(\Uptheta +2)^{2}+2\Uptheta^{2}-4\right) -c\left( r(2-\Uptheta )(\Uptheta -1)(\Uptheta +1)(\Uptheta +2)\left( \left( \Uptheta^{2}+\Uptheta -6\right) \Uptheta^{2}+8\right) +2\left(2-\Uptheta^{2}\right)^{3}\right) } \\ x^{ID} & = x^{DI}=\frac{(a-c)(\Uptheta -1)((\Uptheta -2)\Uptheta -4)}{2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +3\Uptheta^{2}-4}\\ \pi_{1}^{ID} & = \pi_{2}^{DI}=\frac{(a-c)^{2}r(\Uptheta -1)^{2}((\Uptheta -2)\Uptheta -4)^{2}\left( r\left( 1-\Uptheta^{2}\right) \left( 4-\Uptheta^{2}\right)^{2}-2\left( 2-\Uptheta^{2}\right)^{2}\right) }{4\left( \Uptheta^{2}-2\right)^{2}\left( 2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +3\Uptheta^{2}-4\right)^{2}} \\ \pi_{1}^{DI} & = \pi_{2}^{ID}=\frac{\left( \Uptheta^{2}-1\right) (a-c)^{2}\left( r(\Uptheta -2)(\Uptheta -1)(\Uptheta +2)^{2}+2\Uptheta^{2}-4\right)^{2}}{2\left( \Uptheta^{2}-2\right) \left( 2r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +3\Uptheta^{2}-4\right)^{2}}. \\ \end{aligned} $$

1.2 Appendix B

Solving the reduced profit function (18) of the combined setup delivers the four equilibria which are shown below.

Equilibrium 1:

$$ \begin{aligned} \alpha^{C_{1}C_{1}} & = -\frac{\left( 4-\Uptheta^{2}\right) (cr(2-\Uptheta )(1+\Uptheta )-a)}{a\Uptheta^{2}} \\ x^{C_{1}C_{1}} & = c \\ p^{C_{1}C_{1}} & = a\left( 1-\frac{1}{2-\Uptheta^{2}}\right) \\ \pi^{C_{1}C_{1}} & = \frac{a^{2}(1-\Uptheta )}{(2-\Uptheta )^{2}(1+\Uptheta )}- \frac{c^{2}r}{2}. \end{aligned} $$

Equilibrium 2 and 3

$$ \begin{aligned} \alpha_{1}^{C_{1}C_{2}} &\,=\, \alpha_{2}^{C_{2}C_{1}}\,=\,1-\frac{\left( 2-\Uptheta^{2}\right) \left( cr\left( 4r\left( \Uptheta^{4}-5\Uptheta^{2}+4\right) +(4-(\Uptheta -2)\Uptheta )\left( \Uptheta^{2}-2\right) \right) -2a\left( r(\Uptheta -1)((\Uptheta -2)\Uptheta -4)+\Uptheta^{2}-2\right) \right) }{ \Uptheta^{2}\left( a\left( r(1-\Uptheta )(2-\Uptheta^{2}-(\Uptheta -2)\Uptheta -4)\right) -cr\Uptheta \left( \Uptheta^{2}-2\right) \right) } \\ \alpha_{1}^{C_{2}C_{1}} &\,=\, \alpha_{2}^{C_{1}C_{2}}\,=\,1-\frac{r\Uptheta^{2}(1+\Uptheta )\left( c\left( 2-\Uptheta^{2}\right) -a\left( 2-\Uptheta \left( 1+\Uptheta \right) \right) \right) }{\left( 2-\Uptheta^{2}\right) (4cr(1+\Uptheta )-a(2+\Uptheta ))} \\ x_{1}^{C_{1}C_{2}} &\,=\, x_{2}^{C_{2}C_{1}}=c \\ x_{1}^{C_{2}C_{1}} &\,=\, x_{2}^{C_{1}C_{2}}\,=\,\frac{(a-c)\left( 2-\Uptheta^{2}\right) }{r(1+\Uptheta )(4-\Uptheta (2+\Uptheta ))+\Uptheta^{2}-2} \\ p_{1}^{C_{1}C_{2}} &\,=\, p_{2}^{C_{2}C_{1}}\,=\,c+\frac{a\left( 2-\Uptheta -\Uptheta^{2}\right) -c\left( 4-\Uptheta^{2}\right) -\frac{\Uptheta AB}{2-\Uptheta^{2}}}{ 4-\Uptheta^{2}} \\ p_{1}^{C_{2}C_{1}} &\,=\, p_{2}^{C_{1}C_{2}}\,=\,c+\frac{a\left( 2-\Uptheta -\Uptheta^{2}\right) -c\left( 4-\Uptheta^{2}\right) -\frac{2AB}{2-\Uptheta^{2}}}{ 4-\Uptheta^{2}} \\ \pi_{1}^{C_{1}C_{2}} &\,=\, \pi_{2}^{C_{2}C_{1}}\,=\,\frac{A\left( a\left( \Uptheta^{2}+\Uptheta -2\right) -AB\right) }{\Uptheta^{4}-5\Uptheta^{2}+4}-\frac{rA^{2}}{ 2}+\frac{\left( a\left( \Uptheta^{2}+\Uptheta -2\right) -AB\right) \left( a\left( \Uptheta^{2}+\Uptheta -2\right) -\frac{2AB}{\left( \Uptheta^{2}-2\right) }\right) }{\left( \Uptheta^{2}-4\right)^{2}\left( 1-\Uptheta^{2}\right) } \\ \pi_{1}^{C_{2}C_{1}} & \,=\, \pi_{2}^{C_{1}C_{2}}\,=\,\frac{\left( \frac{\Uptheta AB}{ \left( \Uptheta^{2}-2\right) }+a\left( \Uptheta^{2}+\Uptheta -2\right) \right)^{2}}{\left( 4-\Uptheta^{2}\right)^{2}\left( 1-\Uptheta^{2}\right) }-\frac{ c^{2}r}{2} \\ \end{aligned} $$

with

$$ \begin{aligned} A & = c+\frac{(a-c)\left( 2-\Uptheta^{2}\right) }{2-\Uptheta^{2}-r(1+\Uptheta )(4-\Uptheta (2+\Uptheta ))} \\ B & = \frac{(\Uptheta +2)\left( a\left( -r\Uptheta^{4}+(r+1)\Uptheta^{2}-2\right) +cr(\Uptheta -2)(\Uptheta +1)\left( \Uptheta^{2}-2\right) \right) }{a(\Uptheta +2)-4cr(\Uptheta +1)}. \end{aligned} $$

Equilibrium 4

$$ \begin{aligned} \alpha^{C_{2}C_{2}} & = 1+\frac{(a-c)r\Uptheta^{2}\left( 1-\Uptheta^{2}\right) }{cr(1+\Uptheta )(4-\Uptheta (\Uptheta +2))-a\left( 2-\Uptheta^{2}\right) } \\ x^{C_{2}C_{2}} & = \frac{(a-c)\left( 2-\Uptheta^{2}\right) }{r(1+\Uptheta )(4-\Uptheta (2+\Uptheta ))+\Uptheta^{2}-2} \\ p^{C_{2}C_{2}} & = c+\frac{(a-c)\left( 2-\Uptheta^{2}-2r\left( 1-\Uptheta^{2}\right) \right) }{2-\Uptheta^{2}-r(1+\Uptheta )(4-\Uptheta (2+\Uptheta ))} \\ \pi^{C_{2}C_{2}} & = \frac{(a-c)^{2}r\left( 2-\Uptheta^{2}\right) \left( 4r\left( 1-\Uptheta^{2}\right) +\Uptheta^{2}-2\right) }{2\left( r(1+\Uptheta )(4-\Uptheta (2+\Uptheta ))+\Uptheta^{2}-2\right)^{2}}. \\ \end{aligned} $$

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Löffler, C. Delegation, R&D and competitiveness in a Bertrand duopoly. Rev Manag Sci 6, 287–306 (2012). https://doi.org/10.1007/s11846-011-0067-4

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