人工智能技术赋能企业碳减排绩效的实证研究
Empirical study of how does artificial intelligence enable corporate carbon emission reduction performance
王新成 1李垣2
作者信息
- 1. 同济大学经济与管理学院,上海 200092
- 2. 上海交通大学安泰经济与管理学院,上海 200030
- 折叠
摘要
随着人工智能(AI)技术的普及,企业如何利用AI赋能碳减排成为学术界和实践界关注的话题.然而,鲜有实证研究探讨企业的AI技术能力对其碳减排绩效的影响.从融合技术、合法性和市场竞争3 个视角,采用企业层面的数据探讨企业AI技术能力对提升其碳减排绩效的影响以及情景条件.结果表明:企业AI技术能力越强,企业的碳减排绩效越好;在政府环保压力和市场竞争压力下,企业撬动AI技术能力提升碳减排绩效的动机越强,碳减排绩效越好.采用较为全面的视角检验了企业AI技术能力与其碳减排绩效的关系及情景条件,推动了碳减排的实证研究.
Abstract
Recently,both AI and carbon emission reduction have captured an increasing attention from researchers and practitioners.However,few studies,if any,investigates how firms leverage AI to reduce carbon emission.To narrow this gap,we incorporate technology-,legitimacy-,and market competition-driven antecedents of corporate carbon performance into one model,and explore the effect of AI capability on corporate carbon emission reduction performance.Using a fine-granular(i.e.,firm-level data)panel database,we found that:(a)corporate AI capability can significantly enhance corporate carbon emission reduction performance;(b)the positive relationship between AI capability and corporate carbon emission reduction performance can be strengthened when government environmental pressure and market competition is higher.Our study offers a holistic understanding of antecedents of corporate carbon emission reduction,advancing empirical literature on AI and carbon emission reduction.
关键词
碳减排绩效/人工智能(AI)技术/合法性/竞争战略Key words
Carbon emission reduction performance/corporate AI capability/legitimacy/competitive strategy引用本文复制引用
基金项目
中央高校基本科研业务费专项资金资助(22120240579)
国家自然科学基金专项项目(72342026)
面上项目(7237020035)
出版年
2024
NETL
NSTL
万方数据