{"title":"Exclusive and non-exclusive licensing with shelving","authors":"Yuanzhu Lu , Sougata Poddar","doi":"10.1016/j.mathsocsci.2023.09.002","DOIUrl":null,"url":null,"abstract":"<div><p>We consider a market of technology transfer and licensing with an outside innovator and two asymmetric potential licensees where the licensees have asymmetric absorptive capacities of a cost reducing innovation. The low-cost efficient licensee/firm can only benefit from the new technology if the size of the cost reducing innovation is strictly bigger than the cost difference from its competitor. The high-cost firm always benefits from the new technology regardless of the size of the innovation. This leads to the possibility of strategic shelving of the innovation by the efficient firm. Under this backdrop, we characterize the optimal licensing contracts of the outside innovator. We find that in equilibrium, the innovator will use a fixed fee contract for some parameters and royalty or two-part tariff contract(s) for other parameters. Equilibrium fixed fees and royalty rates will also vary depending on the cost asymmetry and the size of the innovation. The optimal licensing contracts can be exclusive or non-exclusive, and shelving of the new technology may or may not happen which has welfare implications. We also investigate the first- and second-best licensing contracts in this environment and discuss their possible implementation.</p></div>","PeriodicalId":51118,"journal":{"name":"Mathematical Social Sciences","volume":"126 ","pages":"Pages 13-29"},"PeriodicalIF":0.5000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematical Social Sciences","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016548962300077X","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: 0
Abstract
We consider a market of technology transfer and licensing with an outside innovator and two asymmetric potential licensees where the licensees have asymmetric absorptive capacities of a cost reducing innovation. The low-cost efficient licensee/firm can only benefit from the new technology if the size of the cost reducing innovation is strictly bigger than the cost difference from its competitor. The high-cost firm always benefits from the new technology regardless of the size of the innovation. This leads to the possibility of strategic shelving of the innovation by the efficient firm. Under this backdrop, we characterize the optimal licensing contracts of the outside innovator. We find that in equilibrium, the innovator will use a fixed fee contract for some parameters and royalty or two-part tariff contract(s) for other parameters. Equilibrium fixed fees and royalty rates will also vary depending on the cost asymmetry and the size of the innovation. The optimal licensing contracts can be exclusive or non-exclusive, and shelving of the new technology may or may not happen which has welfare implications. We also investigate the first- and second-best licensing contracts in this environment and discuss their possible implementation.
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.