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智能制造政策、ESG 绩效与全要素生产率:来自中国的证据。

Intelligent manufacturing policy, ESG performance, and total factor productivity: Evidence from China.

作者信息

Liu Haiyue, Ren Jianwu

机构信息

Institute of Chinese Financial Studies, Southwestern University of Finance and Economics, Chengdu, China.

出版信息

PLoS One. 2025 Feb 3;20(2):e0311369. doi: 10.1371/journal.pone.0311369. eCollection 2025.

Abstract

Under the global wave of intelligence, intelligent manufacturing has become a crucial means of transforming and upgrading China's manufacturing industry. Accurate evaluation of the implementation effects of intelligent manufacturing industry policies is an urgent issue. This study uses the introduction of the "Made in China 2025" policy as a quasi-natural experiment and employs the difference-in-differences method to investigate the impact of intelligent manufacturing policies on firms' total factor productivity (TFP) and its mechanisms. These results indicate that implementing intelligent manufacturing policies significantly enhances firms' TFP. Mechanism analysis reveals that intelligent manufacturing policies can improve firms' ESG performance by enhancing green technology innovation capabilities, increasing capital market attention, and reducing internal control costs, thereby enhancing firms' TFP. Heterogeneity analysis finds that intelligent manufacturing policies have a more pronounced effect on promoting TFP in large-scale enterprises, labor-intensive enterprises, firms with higher technical employee levels, companies in highly competitive industries, and enterprises in regions with higher levels of digital infrastructure development and lower economic development as compared to their counterparts. This study provides evidence of how intelligent manufacturing policies drive the high-quality and sustainable development of enterprises and offers insights for future policy formulation and implementation.

摘要

在全球智能化浪潮下,智能制造已成为中国制造业转型升级的关键手段。准确评估智能制造产业政策的实施效果是一个亟待解决的问题。本研究以《中国制造2025》政策的出台为准自然实验,运用双重差分法考察智能制造政策对企业全要素生产率(TFP)的影响及其作用机制。研究结果表明,实施智能制造政策显著提高了企业的全要素生产率。机制分析显示,智能制造政策可以通过增强绿色技术创新能力、提高资本市场关注度和降低内部控制成本来改善企业的ESG绩效,从而提高企业的全要素生产率。异质性分析发现,与其他企业相比,智能制造政策对大型企业、劳动密集型企业、技术员工水平较高的企业、竞争激烈行业的企业以及数字基础设施发展水平较高且经济发展水平较低地区的企业在促进全要素生产率方面具有更显著的效果。本研究为智能制造政策如何推动企业高质量可持续发展提供了证据,并为未来政策的制定和实施提供了启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a0b/11790167/28a07f7143bd/pone.0311369.g001.jpg

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