{"title":"Strategic innovation and technology adoption under technological uncertainty","authors":"Fanglin Ye , Nicholas Paulson , Madhu Khanna","doi":"10.1016/j.jedc.2024.104879","DOIUrl":null,"url":null,"abstract":"<div><p>This article analyzes the effect of technological uncertainty in an innovation market where upstream innovators develop innovations and downstream technology adopters use them. Technological uncertainty takes the form that it is unclear when future innovations will arrive and how they will perform. We show that technological uncertainty not only reduces adopters’ incentives to use new innovations, but also decreases innovators’ incentives to develop them. This uncertainty effect leads to lower innovation and adoption rates at the market equilibrium, resulting in inefficiently slow innovation and diffusion processes compared to the social optimum. To solve this uncertainty problem, we show that a quantity-based regulation is more recommended than a market-based R&D or price subsidy.</p></div>","PeriodicalId":48314,"journal":{"name":"Journal of Economic Dynamics & Control","volume":"165 ","pages":"Article 104879"},"PeriodicalIF":1.9000,"publicationDate":"2024-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic Dynamics & Control","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016518892400071X","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This article analyzes the effect of technological uncertainty in an innovation market where upstream innovators develop innovations and downstream technology adopters use them. Technological uncertainty takes the form that it is unclear when future innovations will arrive and how they will perform. We show that technological uncertainty not only reduces adopters’ incentives to use new innovations, but also decreases innovators’ incentives to develop them. This uncertainty effect leads to lower innovation and adoption rates at the market equilibrium, resulting in inefficiently slow innovation and diffusion processes compared to the social optimum. To solve this uncertainty problem, we show that a quantity-based regulation is more recommended than a market-based R&D or price subsidy.
期刊介绍:
The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.