{"title":"Challenge or hindrance? The impact of artificial intelligence applications on corporate environmental responsibility under policy and public pressures","authors":"Weiwei Wu , Dechao Ma","doi":"10.1016/j.eti.2025.104273","DOIUrl":null,"url":null,"abstract":"<div><div>Given increasing environmental degradation and the growing emphasis on sustainable development, corporate environmental responsibility (CER) has become a crucial business strategy for consumers, investors, and society. This study explores the relationship between artificial intelligence (AI) applications and CER, while considering the moderating effects of climate policy uncertainty and public environmental concern, using data on A-share listed companies in China from 2012 to 2020. The results reveal an inverted U-shaped relationship between AI applications and CER performance. Climate policy uncertainty weakens the positive impact of AI on CER, while public environmental concern strengthens it. The findings provide valuable guidance for firms on how to strategically apply AI to enhance CER performance, which is substantially important for firms to adapt to policy and public pressure, and achieve sustainable development.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"39 ","pages":"Article 104273"},"PeriodicalIF":6.7000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Technology & Innovation","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352186425002597","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Given increasing environmental degradation and the growing emphasis on sustainable development, corporate environmental responsibility (CER) has become a crucial business strategy for consumers, investors, and society. This study explores the relationship between artificial intelligence (AI) applications and CER, while considering the moderating effects of climate policy uncertainty and public environmental concern, using data on A-share listed companies in China from 2012 to 2020. The results reveal an inverted U-shaped relationship between AI applications and CER performance. Climate policy uncertainty weakens the positive impact of AI on CER, while public environmental concern strengthens it. The findings provide valuable guidance for firms on how to strategically apply AI to enhance CER performance, which is substantially important for firms to adapt to policy and public pressure, and achieve sustainable development.
期刊介绍:
Environmental Technology & Innovation adopts a challenge-oriented approach to solutions by integrating natural sciences to promote a sustainable future. The journal aims to foster the creation and development of innovative products, technologies, and ideas that enhance the environment, with impacts across soil, air, water, and food in rural and urban areas.
As a platform for disseminating scientific evidence for environmental protection and sustainable development, the journal emphasizes fundamental science, methodologies, tools, techniques, and policy considerations. It emphasizes the importance of science and technology in environmental benefits, including smarter, cleaner technologies for environmental protection, more efficient resource processing methods, and the evidence supporting their effectiveness.