促进或抑制:人工智能应用对企业环境绩效的影响

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE International Review of Financial Analysis Pub Date : 2025-01-01 Epub Date: 2024-12-10 DOI:10.1016/j.irfa.2024.103872
Yeshen Liu, Beibei Wang, Zhe Song
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引用次数: 0

摘要

现有的研究主要集中在人工智能应用对企业的经济影响上,而对其非经济影响的关注较少。本研究使用2008年至2021年中国非金融上市公司的数据,首先比较了有效衡量企业层面人工智能应用的各种方法,然后评估其对企业环境绩效的影响。研究结果表明,人工智能的应用促进了环境绩效的增长。这种增长主要是通过降低运营成本、提高运营效率和提高员工生产力来实现的。人工智能驱动的增长集中在制造业企业,并与更大的固定资产相关。此外,它集中在传统低技能劳动力较少的公司,并与非传统高技能劳动力较多的公司联系在一起。我们还发现,人工智能应用更有效地将环境绩效转化为声誉和市场价值。总体而言,本研究为新兴市场企业的环境治理提供了有价值的见解和启示。
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Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance
Existing research mainly focuses on the economic consequences of artificial intelligence (AI) applications for firms, while less attention is given to its non-economic effects. This study uses data from listed non-financial companies in China between 2008 and 2021, first comparing various methods to effectively measure firm-level AI application and then assessing its impact on corporate environmental performance. The findings indicate that AI application enhances the growth of environmental performance. This growth comes primarily through decreased operating costs, increased operational efficiency, and enhanced employee productivity. AI-powered growth is concentrated among manufacturing firms and is associated with larger fixed assets. Additionally, it is concentrated in firms with lower conventional low-skilled labor and is linked to higher unconventional high-skilled labor. We also find that AI application more effectively translates environmental performance into reputation and market value. Overall, this study offers valuable insights and implications for environmental governance in emerging market firms.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
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.
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