{"title":"Quantifying firm-level carbon risk: A novel emission reduction stress factor","authors":"Jie Shen, Haitao Zheng, Lei Zhu","doi":"10.1016/j.econmod.2025.107210","DOIUrl":null,"url":null,"abstract":"<div><div>This study examines the impact of carbon emission reduction stress (ERS) on stock pricing, addressing a key gap in the climate finance literature concerning the quantification of carbon risk. Using data from 80 of China's top carbon-intensive firms from 2019 to 2022, we apply the Fama–French factor model to test the hypothesis that ERS significantly influences stock returns. Our analysis demonstrates that ERS is a meaningful risk factor, outperforming traditional proxies such as carbon emission levels and emission intensity. The ERS index not only effectively isolates the size effect from emission levels but also captures carbon risk arising from excessive emissions. These findings provide new insights into the pricing of carbon risk in financial markets and offer practical implications for sustainable investment strategies and climate policy, thereby supporting more informed decision-making during the decarbonization of carbon-intensive firm.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"151 ","pages":"Article 107210"},"PeriodicalIF":4.7000,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325002056","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
This study examines the impact of carbon emission reduction stress (ERS) on stock pricing, addressing a key gap in the climate finance literature concerning the quantification of carbon risk. Using data from 80 of China's top carbon-intensive firms from 2019 to 2022, we apply the Fama–French factor model to test the hypothesis that ERS significantly influences stock returns. Our analysis demonstrates that ERS is a meaningful risk factor, outperforming traditional proxies such as carbon emission levels and emission intensity. The ERS index not only effectively isolates the size effect from emission levels but also captures carbon risk arising from excessive emissions. These findings provide new insights into the pricing of carbon risk in financial markets and offer practical implications for sustainable investment strategies and climate policy, thereby supporting more informed decision-making during the decarbonization of carbon-intensive firm.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.