{"title":"政治风险会加剧气候风险吗?公司级的证据","authors":"Shabeen Asfar Basha , Ramzi Benkraiem , Hamdi Ben-Nasr , Abdullah-Al Masum","doi":"10.1016/j.irfa.2025.104282","DOIUrl":null,"url":null,"abstract":"<div><div>Using machine-learning-based measures for political and climate risks derived from corporate conference calls, we discover a link between the two in a large sample of US firms from 2002 to 2021. Our findings suggest that firms facing higher political risk are more susceptible to climate risk. Additionally, we find that a firm's emitter category industry classification and exposure to environmental litigation can exacerbate this situation, while managerial ability helps reduce the impact. Furthermore, political lobbying and donations effectively check corporate climate risk, but only under non-partisan conditions. Importantly, our findings are robust to concerns of reverse causality, sample selection bias, and measurement errors.</div></div>","PeriodicalId":48226,"journal":{"name":"International Review of Financial Analysis","volume":"104 ","pages":"Article 104282"},"PeriodicalIF":9.8000,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does political risk exacerbate climate risk? Firm-level evidence\",\"authors\":\"Shabeen Asfar Basha , Ramzi Benkraiem , Hamdi Ben-Nasr , Abdullah-Al Masum\",\"doi\":\"10.1016/j.irfa.2025.104282\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Using machine-learning-based measures for political and climate risks derived from corporate conference calls, we discover a link between the two in a large sample of US firms from 2002 to 2021. Our findings suggest that firms facing higher political risk are more susceptible to climate risk. Additionally, we find that a firm's emitter category industry classification and exposure to environmental litigation can exacerbate this situation, while managerial ability helps reduce the impact. Furthermore, political lobbying and donations effectively check corporate climate risk, but only under non-partisan conditions. Importantly, our findings are robust to concerns of reverse causality, sample selection bias, and measurement errors.</div></div>\",\"PeriodicalId\":48226,\"journal\":{\"name\":\"International Review of Financial Analysis\",\"volume\":\"104 \",\"pages\":\"Article 104282\"},\"PeriodicalIF\":9.8000,\"publicationDate\":\"2025-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Review of Financial Analysis\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1057521925003692\",\"RegionNum\":1,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Review of Financial Analysis","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1057521925003692","RegionNum":1,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Does political risk exacerbate climate risk? Firm-level evidence
Using machine-learning-based measures for political and climate risks derived from corporate conference calls, we discover a link between the two in a large sample of US firms from 2002 to 2021. Our findings suggest that firms facing higher political risk are more susceptible to climate risk. Additionally, we find that a firm's emitter category industry classification and exposure to environmental litigation can exacerbate this situation, while managerial ability helps reduce the impact. Furthermore, political lobbying and donations effectively check corporate climate risk, but only under non-partisan conditions. Importantly, our findings are robust to concerns of reverse causality, sample selection bias, and measurement errors.
期刊介绍:
The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.