{"title":"Decrypting the triad of climate policies, macroeconomic interdependencies and quantitative modelling: A literature review on quantifying climate risks","authors":"Markus Vogl , Milena Kojić , Stephan Schlüter","doi":"10.1016/j.rspp.2025.100229","DOIUrl":null,"url":null,"abstract":"<div><div>This structured keyword-based meta-analysis reviews the estimation of climate risk factors and their economic impact in the recent literature between 2009 and 2025. Via examining existing research we are able to extract core statements, critical success and risk factors, considered data sets, implemented quantitative methods, and core empirical results. This allows us to identify current state-of-the-art topics and methodologies. Furthermore, we identify three major interrelated pillars, namely, policy-level considerations, macroeconomic effect chains paired with market-level dynamics, and quantitative modelling methodologies. According to the analysed research articles, a comprehensive understanding of at least two of these pillars is essential for effectively identifying, controlling, and modelling climate risk. This, in turn, helps to develop political strategies for mitigating climate change, which is displayed as a comprehensive triad model that can serve as a didactical basis for policy-decision making.</div></div>","PeriodicalId":45520,"journal":{"name":"Regional Science Policy and Practice","volume":"17 11","pages":"Article 100229"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Regional Science Policy and Practice","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1757780225000599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
This structured keyword-based meta-analysis reviews the estimation of climate risk factors and their economic impact in the recent literature between 2009 and 2025. Via examining existing research we are able to extract core statements, critical success and risk factors, considered data sets, implemented quantitative methods, and core empirical results. This allows us to identify current state-of-the-art topics and methodologies. Furthermore, we identify three major interrelated pillars, namely, policy-level considerations, macroeconomic effect chains paired with market-level dynamics, and quantitative modelling methodologies. According to the analysed research articles, a comprehensive understanding of at least two of these pillars is essential for effectively identifying, controlling, and modelling climate risk. This, in turn, helps to develop political strategies for mitigating climate change, which is displayed as a comprehensive triad model that can serve as a didactical basis for policy-decision making.
期刊介绍:
Regional Science Policy & Practice (RSPP) is the official policy and practitioner orientated journal of the Regional Science Association International. It is an international journal that publishes high quality papers in applied regional science that explore policy and practice issues in regional and local development. It welcomes papers from a range of academic disciplines and practitioners including planning, public policy, geography, economics and environmental science and related fields. Papers should address the interface between academic debates and policy development and application. RSPP provides an opportunity for academics and policy makers to develop a dialogue to identify and explore many of the challenges facing local and regional economies.