{"title":"Insurance contract for electric vehicle charging stations: A Stackelberg game-theoretic approach","authors":"Yuanmin Jin , Zhuo Jin , Jiaqin Wei","doi":"10.1016/j.insmatheco.2025.02.002","DOIUrl":null,"url":null,"abstract":"<div><div>The development of electric vehicles has led to an expansion of Electric Vehicle Charging Stations (EVCSs). However, this expansion also brings about significant amount of risks, resulting in financial loss for EVCSs. To address this issue, this paper proposes an optimal insurance model based on a Stackelberg game between an insurer and a risk-averse EVCS operator. In the game, the insurer sets the insurance premium, and the EVCS operator decides on her charging price and ceded loss function. The paper explores the existence of the optimal solution of the game under the assumption of <em>n</em>-point distributed loss, and also characterizes the optimal solution if the loss follows two-point distribution. Finally, numerical examples are provided to demonstrate the effects of parameters on the optimal solution.</div></div>","PeriodicalId":54974,"journal":{"name":"Insurance Mathematics & Economics","volume":"122 ","pages":"Pages 61-81"},"PeriodicalIF":1.9000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insurance Mathematics & Economics","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167668725000332","RegionNum":2,"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
The development of electric vehicles has led to an expansion of Electric Vehicle Charging Stations (EVCSs). However, this expansion also brings about significant amount of risks, resulting in financial loss for EVCSs. To address this issue, this paper proposes an optimal insurance model based on a Stackelberg game between an insurer and a risk-averse EVCS operator. In the game, the insurer sets the insurance premium, and the EVCS operator decides on her charging price and ceded loss function. The paper explores the existence of the optimal solution of the game under the assumption of n-point distributed loss, and also characterizes the optimal solution if the loss follows two-point distribution. Finally, numerical examples are provided to demonstrate the effects of parameters on the optimal solution.
期刊介绍:
Insurance: Mathematics and Economics publishes leading research spanning all fields of actuarial science research. It appears six times per year and is the largest journal in actuarial science research around the world.
Insurance: Mathematics and Economics is an international academic journal that aims to strengthen the communication between individuals and groups who develop and apply research results in actuarial science. The journal feels a particular obligation to facilitate closer cooperation between those who conduct research in insurance mathematics and quantitative insurance economics, and practicing actuaries who are interested in the implementation of the results. To this purpose, Insurance: Mathematics and Economics publishes high-quality articles of broad international interest, concerned with either the theory of insurance mathematics and quantitative insurance economics or the inventive application of it, including empirical or experimental results. Articles that combine several of these aspects are particularly considered.