{"title":"The disclosure decision game: Subsidies and incentives for R&D activity","authors":"Domenico Buccella , Luciano Fanti , Luca Gori","doi":"10.1016/j.mathsocsci.2023.06.002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":51118,"journal":{"name":"Mathematical Social Sciences","volume":"125 ","pages":"Pages 11-26"},"PeriodicalIF":0.5000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Social Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0165489623000562","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1
Abstract
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.
期刊介绍：
The international, interdisciplinary journal Mathematical Social Sciences publishes original research articles, survey papers, short notes and book reviews. The journal emphasizes the unity of mathematical modelling in economics, psychology, political sciences, sociology and other social sciences.
Topics of particular interest include the fundamental aspects of choice, information, and preferences (decision science) and of interaction (game theory and economic theory), the measurement of utility, welfare and inequality, the formal theories of justice and implementation, voting rules, cooperative games, fair division, cost allocation, bargaining, matching, social networks, and evolutionary and other dynamics models.
Papers published by the journal are mathematically rigorous but no bounds, from above or from below, limits their technical level. All mathematical techniques may be used. The articles should be self-contained and readable by social scientists trained in mathematics.
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