{"title":"Game-theoretic modeling of pre-disaster relocation","authors":"V. Bier, Yuqun Zhou, Hongru Du","doi":"10.1080/0013791X.2019.1677837","DOIUrl":null,"url":null,"abstract":"Abstract Sea-level rise due to climate change is clearly an important problem. This paper uses game theory in conjunction with discounting to explore strategies by which governments might encourage pre-disaster relocation by residents living in areas at high risk of flooding due to sea-level rise. We find that offering a subsidy (e.g., a partial buyout) can be effective if government has a significantly lower discount rate than residents. We also present extensions to our model, exploring the use of a fixed annual benefit after relocation (instead of a one-time subsidy), and hyperbolic instead of standard exponential discounting. Numerical sensitivity analysis elucidates many important factors affecting the timing of anticipatory relocation, since for example relocating too soon may be costly to both residents and government if flooding risk is increasing only gradually. This conceptual model also provides a foundation for future studies that quantify the model with more realistic parameter values (e.g., realistic estimates of flooding probabilities), and alternative behavioral models of resident decision making.","PeriodicalId":49210,"journal":{"name":"Engineering Economist","volume":"65 1","pages":"113 - 89"},"PeriodicalIF":1.0000,"publicationDate":"2019-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/0013791X.2019.1677837","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering Economist","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/0013791X.2019.1677837","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 4
Abstract
Abstract Sea-level rise due to climate change is clearly an important problem. This paper uses game theory in conjunction with discounting to explore strategies by which governments might encourage pre-disaster relocation by residents living in areas at high risk of flooding due to sea-level rise. We find that offering a subsidy (e.g., a partial buyout) can be effective if government has a significantly lower discount rate than residents. We also present extensions to our model, exploring the use of a fixed annual benefit after relocation (instead of a one-time subsidy), and hyperbolic instead of standard exponential discounting. Numerical sensitivity analysis elucidates many important factors affecting the timing of anticipatory relocation, since for example relocating too soon may be costly to both residents and government if flooding risk is increasing only gradually. This conceptual model also provides a foundation for future studies that quantify the model with more realistic parameter values (e.g., realistic estimates of flooding probabilities), and alternative behavioral models of resident decision making.
Engineering EconomistENGINEERING, INDUSTRIAL-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
2.00
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍:
The Engineering Economist is a refereed journal published jointly by the Engineering Economy Division of the American Society of Engineering Education (ASEE) and the Institute of Industrial and Systems Engineers (IISE). The journal publishes articles, case studies, surveys, and book and software reviews that represent original research, current practice, and teaching involving problems of capital investment.
The journal seeks submissions in a number of areas, including, but not limited to: capital investment analysis, financial risk management, cost estimation and accounting, cost of capital, design economics, economic decision analysis, engineering economy education, research and development, and the analysis of public policy when it is relevant to the economic investment decisions made by engineers and technology managers.