Chatterjee, Rittwik and Chattopadhyay, Srobonti and Kabiraj, Tarun (2020): R&D incentives with uncertain probability of success.
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Abstract
A firm’s decision to invest in R&D depends on a number of factors like availability of funds, extent of R&D spillovers, market structure, and success probability. However, probability of success depends, to a large extent, on factors endogenous to a firm. This means, success probability can be known to the firm undertaking R&D investment, not to the rivals, hence there is incomplete information about probability of success in R&D. There are also uncertainties about rival’s R&D decision and R&D status. In a duopoly we show that there is a non-monotone relation between R&D incentives and the level of information.
Item Type: | MPRA Paper |
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Original Title: | R&D incentives with uncertain probability of success |
English Title: | R&D incentives with uncertain probability of success |
Language: | English |
Keywords: | R&D incentives, Duopoly, Incomplete information, Type distribution |
Subjects: | D - Microeconomics > D4 - Market Structure, Pricing, and Design > D43 - Oligopoly and Other Forms of Market Imperfection D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D82 - Asymmetric and Private Information ; Mechanism Design L - Industrial Organization > L1 - Market Structure, Firm Strategy, and Market Performance > L13 - Oligopoly and Other Imperfect Markets O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O31 - Innovation and Invention: Processes and Incentives |
Item ID: | 98474 |
Depositing User: | Srobonti Chattopadhyay |
Date Deposited: | 05 Feb 2020 19:57 |
Last Modified: | 05 Feb 2020 19:57 |
References: | [1] Bacchiega, E. and P.G. Garella (2008), “Disclosing versus withholding technology knowledge of a duopoly”, The Manchester School, Vol. 76, No. 1, pp. 88-103. [2] Brocas, I. (2004), “Optimal regulation of cooperative R&D under incomplete infor- mation”, The Journal of Industrial Economics, Vol. LII, No. 1, pp. 81-119. [3] Chattopadhyay, S. and T. Kabiraj (2015), “ Incomplete information and R&D organisation”, Economics Bulletin, Vol. 35, No. 1, pp. 14-20. [4] Conti, C. (2013), “Asymmetric information in a duopoly with spillovers: New findings on the effects of RJVs (Working Paper No. 2013–04)”. Retrieved from http://wp. demm.unimi.it/tl_files/wp/2013/DEMM-2013_04wp.pdf. [5] Grishagin, V.A., Y.D. Sergeyev and D.B.Silipo (2001), “Firm’s R&D decisions under incomplete information”, European Journal of Operational Research, 129, pp. 414-433. [6] Chatterjee, R., S. Chattopadhyay, and T. Kabiraj (2017), “R&D in a Duopoly under Incomplete Information.” International Journal of Economic Theory. [7] Chatterjee, R., S. Chattopadhyay and T. Kabiraj (2018), “Spillovers and R&D in-[7] Chatterjee, R., S. Chattopadhyay and T. Kabiraj (2018), “Spillovers and R&D incentive under incomplete information”, Studies in Microeconomics, Vol. 6, No. 1-2,pp.50-65. [8] Kabiraj, T. and S. Chattopadhyay (2015), “Cooperative vs. non-cooperative R&D incentives under incomplete information”, Economics of Innovation and New Technology, Vol. 24, No. 6, pp.624-632. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/98474 |