人工智能应用对制造企业环境绩效的影响机制OA
Research on the impact mechanism of artificial intelligence adoption on the environmental performance of manufacturing enterprises
当前技术革命中人工智能与人类智能的融合与进步,正加速推动企业绿色转型发展迈向新阶段.人工智能技术作为企业技术创新的重要催化剂,既推动企业高质量发展,又为提升环境绩效提供解决方案.本研究基于2010-2024年中国制造企业数据,通过直接传导、间接传导和异质传导机制,检验人工智能应用是否改善制造企业环境绩效.本研究通过构建微观层面人工智能应用具体指标,探究人工智能应用影响企业环境绩效的内在机制.研究表明,人工智能应用显著提升企业环境绩效;人工智能应用通过促进绿色技术创新、加快知识多元融合、提高绿色全要素生产效率,间接提升制造企业环境绩效.此外,在考查企业异质性特征时发现,非国有企业及低污染型企业在人工智能应用上呈现显著差异化效应.本研究为人工智能技术提升企业环境绩效提供新的实证依据,研究结果为促进制造业企业技术创新与可持续发展提供可行路径.
The integration of artificial and human intelligence in the ongoing technological revolution are accelerating the green transformation and development of enterprises to a new stage.As an important catalyst for enterprise technological innovation,artificial intelligence not only promotes the high-quality development of enterprises,but also provides innovative solutions for improving the environmental performance of China's manufacturing industry.This study adopts text mining to analyze the data of A-share manufacturing enterprises inChina from 2010 to 2024,and examines whether the application of artificial intelligence improves the environmental performance of manufacturing enterprises through three mechanisms:direct transmission,indirect transmission,and heterogeneous transmission.This study aims to deeply explore the internal mechanism of artificial intelligence application affecting enterprise environmental performance by constructing specific indicators of artificial intelligence adoption at the micro level.The research results open up a new path for Chinese manufacturing enterprises to improve their modern environmental governance capabilities.The application of artificial intelligence indirectly improves the environmental performance of manufacturing enterprises by promoting green technology innovation,accelerating interdisciplinary knowledge integration,and improving green total factor productivity.In addition,when examining the heterogeneity characteristics of enterprises,the study finds that heterogeneity tests reveal distinct effects between non-state-owned enterprises and low-pollution manufacturers.The impact of artificial intelligence implementation on enterprise environmental performance is becoming increasingly prominent,and this paper provides a new empirical basis for artificial intelligence technology to improve enterprise environmental performance.The research results provide a feasible path to promote technological innovation and sustainable development of manufacturing enterprises.
肖鹏;刘冻;刘景东;周恩德
安徽大学商学院,安徽 合肥 230601安徽大学商学院,安徽 合肥 230601安徽大学商学院,安徽 合肥 230601湖北汽车工业学院经济管理学院,湖北十堰 442002
管理科学
人工智能应用环境绩效绿色技术创新知识多元融合绿色全要素生产率
artificial intelligence adoptionenvironmental performancegreen technology innovationinterdisciplinary knowledge integrationgreen total factor productivity
《重庆理工大学学报》 2026 (12)
36-49,14
国家社会科学基金项目"惯例演化驱动制造企业数字化转型的机理、路径与对策研究"(23BGL127)湖北省高等学校哲学社会科学研究重大项目"创新要素集聚对湖北制造业转型升级的影响研究"(23ZD258)
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