Insurance coverage and environmental risk in an evolutionary oligopoly

IF 4.4 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Annals of Operations Research Pub Date : 2024-09-06 DOI:10.1007/s10479-024-06240-w
Ilaria Colivicchi, Gianluca Iannucci
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Abstract

This paper studies the evolution of an oligopoly market where two types of companies, brown and green, are present. Green firms adopt a less polluting technology that allows a reduction in emissions. We want to investigate the possibility of an environmental-friendly transition where insurance can give its support to cover the (endogenous) climate change loss. The model is composed of two parts. We analyze a two-stages game in which the companies maximize their profits by choosing output in the first stage and insurance coverage in the second one. Then we develop an evolutionary game to endogenize the selection of being brown or green, according to the expected random profits. We derive analytically the dynamic regimes may arise and we perform a sensitivity analysis at the stable inner steady state, where firms coexist, changing the main key parameters to understand which ones may be strategic for an ecological transition.

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演化寡头垄断中的保险范围和环境风险
本文研究了存在棕色和绿色两类公司的寡头垄断市场的演变。绿色企业采用污染较少的技术,可以减少排放。我们希望研究环境友好型转型的可能性,在这种转型中,保险可以提供支持,以弥补(内生的)气候变化损失。模型由两部分组成。我们分析了一个两阶段博弈,其中企业通过在第一阶段选择产量和在第二阶段选择保险范围来实现利润最大化。然后,我们开发了一个演化博弈,根据预期的随机利润,内生选择成为 "棕色 "或 "绿色"。我们通过分析推导出可能出现的动态制度,并在企业共存的稳定内部稳态下进行敏感性分析,改变主要关键参数,以了解哪些参数可能对生态转型具有战略意义。
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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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