{"title":"Creative destruction vs destructive destruction: A Schumpeterian approach for adaptation and mitigation","authors":"Can Askan Mavi","doi":"10.1016/j.mathsocsci.2023.12.002","DOIUrl":null,"url":null,"abstract":"<div><p>This article aims to demonstrate how a market exposed to a catastrophic event strives to find a balance between adaptation and mitigation policies through R&D strategies. Our analysis reveals that, within our framework, there exists no trade-off between adaptation and mitigation. Rather, the critical relationship exists between adaptation and pollution because adaptation (wealth accumulation) increases the growth rate of the economy, leading to a higher flow pollution due to the scale effect. We also investigate the long-run effects of pollution taxes on growth rates and the influence of the probability of catastrophic events on these outcomes. Our findings suggest that even with a higher likelihood of catastrophe, the economy can elevate its R&D endeavors, provided that the penalty rate stemming from an abrupt event remains sufficiently high and the economy confronts a risk of a doomsday scenario. Additionally, we illustrate that pollution taxes can foster heightened long-term growth, with the positive effects being more pronounced when the probability of catastrophe is elevated, assuming an adequately substantial penalty rate. Finally, we find that pollution growth can be higher with less polluting inputs due to a scale effect, a phenomenon akin to the Jevons-type paradox.</p></div>","PeriodicalId":51118,"journal":{"name":"Mathematical Social Sciences","volume":"127 ","pages":"Pages 36-53"},"PeriodicalIF":0.5000,"publicationDate":"2023-12-16","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/S0165489623001014","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
This article aims to demonstrate how a market exposed to a catastrophic event strives to find a balance between adaptation and mitigation policies through R&D strategies. Our analysis reveals that, within our framework, there exists no trade-off between adaptation and mitigation. Rather, the critical relationship exists between adaptation and pollution because adaptation (wealth accumulation) increases the growth rate of the economy, leading to a higher flow pollution due to the scale effect. We also investigate the long-run effects of pollution taxes on growth rates and the influence of the probability of catastrophic events on these outcomes. Our findings suggest that even with a higher likelihood of catastrophe, the economy can elevate its R&D endeavors, provided that the penalty rate stemming from an abrupt event remains sufficiently high and the economy confronts a risk of a doomsday scenario. Additionally, we illustrate that pollution taxes can foster heightened long-term growth, with the positive effects being more pronounced when the probability of catastrophe is elevated, assuming an adequately substantial penalty rate. Finally, we find that pollution growth can be higher with less polluting inputs due to a scale effect, a phenomenon akin to the Jevons-type paradox.
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.