Does artificial intelligence mitigate climate change exposure?

IF 4 2区经济学 Q1 BUSINESS, FINANCE

Journal of Banking & Finance Pub Date : 2026-02-01 Epub Date: 2025-12-29 DOI:10.1016/j.jbankfin.2025.107623

Junru Zhang , Le Luo , Joey Wenling Yang

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引用次数: 0

Abstract

Despite the growing integration of artificial intelligence (AI) into business models, studies of its impact on corporate climate change exposure remain scarce. Through an examination of AI-related innovations among US-listed firms from 2001 to 2019, we present compelling evidence that AI innovation effectively mitigates firms’ climate change exposure. In particular, it reduces firms’ exposure to regulatory and physical risks related to climate change through improved carbon management efficiency, with computer vision and control and planning being the most effective types in this context. Our findings are particularly pronounced for mature firms and those facing greater regulatory intervention. The results withstand rigorous tests that address endogeneity concerns. Our study provides strong support for firms to adopt AI innovations to achieve carbon neutrality, contributing to the ongoing discourse regarding AI trade-offs. Our findings also offer valuable insights into the development of climate risk mitigation strategies.

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人工智能能减轻气候变化风险吗？

尽管人工智能（AI）越来越多地融入商业模式，但关于其对企业气候变化风险影响的研究仍然很少。通过对2001年至2019年美国上市公司人工智能相关创新的研究，我们提出了令人信服的证据，证明人工智能创新有效地减轻了公司的气候变化风险。特别是，通过提高碳管理效率，它减少了企业面临与气候变化相关的监管和物理风险，计算机视觉、控制和规划是这方面最有效的类型。我们的发现对于成熟公司和那些面临更大监管干预的公司尤其明显。结果经得起解决内生性问题的严格测试。我们的研究为企业采用人工智能创新实现碳中和提供了强有力的支持，为正在进行的关于人工智能权衡的讨论做出了贡献。我们的研究结果还为制定气候风险缓解战略提供了宝贵的见解。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Banking & Finance Multiple-

CiteScore

6.40

自引率

5.40%

发文量

262

期刊介绍： The Journal of Banking and Finance (JBF) publishes theoretical and empirical research papers spanning all the major research fields in finance and banking. The aim of the Journal of Banking and Finance is to provide an outlet for the increasing flow of scholarly research concerning financial institutions and the money and capital markets within which they function. The Journal''s emphasis is on theoretical developments and their implementation, empirical, applied, and policy-oriented research in banking and other domestic and international financial institutions and markets. The Journal''s purpose is to improve communications between, and within, the academic and other research communities and policymakers and operational decision makers at financial institutions - private and public, national and international, and their regulators. The Journal is one of the largest Finance journals, with approximately 1500 new submissions per year, mainly in the following areas: Asset Management; Asset Pricing; Banking (Efficiency, Regulation, Risk Management, Solvency); Behavioural Finance; Capital Structure; Corporate Finance; Corporate Governance; Derivative Pricing and Hedging; Distribution Forecasting with Financial Applications; Entrepreneurial Finance; Empirical Finance; Financial Economics; Financial Markets (Alternative, Bonds, Currency, Commodity, Derivatives, Equity, Energy, Real Estate); FinTech; Fund Management; General Equilibrium Models; High-Frequency Trading; Intermediation; International Finance; Hedge Funds; Investments; Liquidity; Market Efficiency; Market Microstructure; Mergers and Acquisitions; Networks; Performance Analysis; Political Risk; Portfolio Optimization; Regulation of Financial Markets and Institutions; Risk Management and Analysis; Systemic Risk; Term Structure Models; Venture Capital.