Creative destruction vs destructive destruction: A Schumpeterian approach for adaptation and mitigation

IF 0.5 4区 经济学 Q4 ECONOMICS Mathematical Social Sciences Pub Date : 2023-12-16 DOI:10.1016/j.mathsocsci.2023.12.002
Can Askan Mavi
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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.

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创造性破坏与破坏性破坏:熊彼得的适应与缓解方法
本文旨在展示一个面临灾难性事件的市场是如何通过研发战略在适应政策和减缓政策之间寻求平衡的。我们的分析表明,在我们的框架内,适应与减缓之间并不存在权衡。相反,适应与污染之间存在关键关系,因为适应(财富积累)会提高经济增长率,从而在规模效应的作用下导致更高的流量污染。我们还研究了污染税对增长率的长期影响以及灾难性事件发生概率对这些结果的影响。我们的研究结果表明,即使发生灾难的可能性较高,只要突发事件导致的惩罚率足够高,且经济面临末日风险,那么经济就能提升其研发努力。此外,我们还说明了污染税可以促进长期增长,假设惩罚率足够高,当灾难发生的概率升高时,污染税的积极作用会更加明显。最后,我们发现,由于规模效应(一种类似于杰文斯悖论的现象),污染投入越少,污染增长越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Mathematical Social Sciences
Mathematical Social Sciences 数学-数学跨学科应用
CiteScore
1.30
自引率
0.00%
发文量
55
审稿时长
59 days
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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