The disclosure decision game
Subsidies and incentives for R&D activity
Bibliographic Data
| ID | 11285489 |
|---|---|
| Authors | Domenico Buccella (0000-0002-9594-0630, Kozminski University), Luciano Fanti (0000-0002-4944-8370, University of Pisa), Luca Gori (0000-0003-1967-0840, University of Pisa, corresponding author) |
| Year | 2023 |
| Volume | 125 |
| Pages | 11-26 |
| Publication date | 2023-09-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Mathematical Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0165-4896 • E-ISSN: 1879-3118 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.mathsocsci.2023.06.002 |
| OpenAlex | W4382930085 |
| Language | EN |
| References cited | 21 |
This article presents a three-stage non-cooperative disclosure decision game (DDG), in which R&D-investing firms choose whether to disclose R&D-related information to the rival in a Cournot-like environment. Though firms have no (private) incentive to disclose information unilaterally on their cost-reducing R&D activity to prevent a rival from engaging in free appropriation, this work reveals opportunity for the government to design an optimal policy aimed at incentivising R&D disclosure. Following this welfare-improving path, sharing R&D-related information becomes a Pareto-efficient Nash equilibrium strategy. These findings suggest that using public subsidies to R&D disclosure can lead to a win-win result, eliminating the unpleasant non-disclosing outcome from a societal perspective
Appropriation · Business · Cournot competition · Deadweight loss · Economics · Full disclosure · Government (linguistics · Incentive · Microeconomics · Nash equilibrium · Outcome (game theory · Pareto principle · Private information retrieval · Public economics · Subsidy · Welfare · Computer Science · Economic Policies and Impacts · Innovation Policy and RD · Merger and Competition Analysis
| Highly cited | No |
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