4.7 Article

Factors influencing the perception of exposure to climate risks: Evidence from the world's largest carbon-intensive industries

期刊

JOURNAL OF CLEANER PRODUCTION
卷 306, 期 -, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2021.127160

关键词

Management of climate risk; Climate risk disclosure; Exposure to climate risks; Largest carbon-intensive industries; Legitimacy theory; Risk perception

资金

  1. Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Brasil [001]

向作者/读者索取更多资源

Addressing climate change requires the involvement of all sectors, with the industrial sector recognizing its responsibility for emissions. European companies have the highest perception of regulatory climate risks, which has increased over time. Key variables influencing companies' perception of climate risks include climate regulation, company age, profitability, and indebtedness.
Tackling climate change requires the effective participation of all and should not be the exclusive re-sponsibility of the public sector. The industrial sector is responsible for the overwhelming majority of emissions and needs to recognize its responsibility and contribute to mitigating the problem. Climate change and its impacts pose challenges with relevant economic implications that require a new stance on the part of companies. They need to assess and understand their exposure to climate events and develop processes to identify, assess, and respond to climate risks. This study's primary purpose is to provide an in-depth empirical analysis of the potential underlying variables influencing companies' perceptions of exposure to climate risks. The research was conducted over a three-year period, based on 36 of the most carbon-intensive industries in the world, located in 15 countries. Evidence shows that companies feel more threatened by regulatory climate risks than physical and market risks regardless of the region. However, companies located in Europe have a greater perception of exposure to regulatory risks than companies in other regions, followed by BRICS' companies. Perception has increased over the years in Europe. The modeling was done through a time-series cross-section-based analysis. To guarantee quality, precision, and consistency, the modeling was done using three models. The first regression model (Model 1) with panel data without robustness and two other models with verification of robustness, notably the robust covariance matrix White estimators (Model 2) and Driscoll and Kraay (Model 3) models. The evidence points out that Climate regulation, Age, Profitability and Indebtedness are the potential variables that influence the company's perception of exposure to climate risks. (c) 2021 Elsevier Ltd. All rights reserved.

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