气候变化、人工智能与全要素生产率——基于A股涉粮企业的实证分析  

Climate Change,Artificial Intelligence,and Total Factor Productivity——Empirical Analysis based on A-share Grain Related Enterprises

作　　者：孙志娟 SUN Zhi-juan(School of Economics and Trade,Henan University of Technology,Zhengzhou 450001,China;Research Center of Grain Economy,Henan University of Technology,Zhengzhou 450001,China)

机构地区：[1]河南工业大学经济贸易学院,河南郑州450001 [2]河南工业大学粮食经济研究中心,河南郑州450001

出　　处：《经济问题》2025年第4期120-128,F0003,共10页On Economic Problems

基　　金：国家社会科学基金一般项目“大国博弈背景下我国粮食进口安全保障体系建构与实现路径研究”(23BJY177)。

摘　　要：在全球经济与环境问题交织的背景下,粮食安全愈发重要。选取2007—2023年中国A股涉粮上市企业为研究样本。研究发现,气候变化会显著降低企业的全要素生产率。对其中的影响机理进行分析发现,气候变化会提高企业的劳动力成本、也会增加企业的财务风险,进而降低企业的全要素生产率。进一步考察人工智能的作用,从企业内部人工智能水平来看,较高的人工智能水平可以减少气候变化对全要素生产率的不利影响;从企业外部人工智能发展来看,以超级计算中心成立作为事件,外部人工智能发展也会减少气候变化对全要素生产率的不利影响。最后检验了高管绿色背景的影响,研究表明具有绿色背景的高管可以削弱气候变化对企业全要素生产率的不利影响。Against the backdrop of intertwined global economic and environmental issues,food security has become increasingly important.Select Chinese A-share grain related listed companies from 2007 to 2023 as the research sample.Research has found that climate change will significantly reduce the total factor productivity of enterprises.Analyzing the impact mechanism,research has found that climate change will increase labor costs and financial risks for enterprises,thereby reducing their total factor productivity.Further examining the role of artificial intelligence,from the perspective of the level of artificial intelligence within enterprises,research has found that a higher level of artificial intelligence can reduce the adverse effects of climate change on total factor productivity.From the perspective of the development of artificial intelligence outside enterprises,taking the establishment of supercomputing centers as an event,research has found that the development of external artificial intelligence can also reduce the adverse effects of climate change on total factor productivity.Finally,the impact of executives' green backgrounds was examined,and the study showed that executives with green backgrounds can mitigate the adverse effects of climate change on total factor productivity of enterprises.

关 键 词：气候变化 全要素生产率 人工智能 绿色背景高管 

分 类 号：F49[经济管理—产业经济] F326.11