产业数字化对绿色全要素生产率的影响机制研究——兼议环境规制的门槛效应

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摘要基于2014~2022年中国省域面板数据从农业、工业和服务业三个维度衡量产业数字化水平,同时测度考虑了数据要素投入和多种非期望产出的绿色全要素生产率,进而探究两者间的影响效应与作用机制.研究发现:各省域产业数字化水平差异显著并呈现出“东部>中部>西部”的空间布局.绿色全要素生产率也表现出逐渐提高的趋势,区域多级分化现象逐步改善;经过一系列稳健性检验后发现,中国省域产业数字化显著促进了绿色全要素生产率的提升,且影响效应呈现出农业<工业<服务业的特征;在传导路径上,各省域产业数字化的发展主要通过降低资本与劳动力错配度和促进产业结构升级提升绿色全要素生产率;公众环境关注度高和工业化程度较低的省域,产业数字化发展的绿色全要素生产率提升效应相对较高;产业数字化对绿色全要素生产率的影响随不同类型环境规制强度的变化呈现出单一门槛特征,命令控制型环境规制强度和市场激励性环境规制强度的门槛值分别为0.4582和0.0096.因此,政府应制定差异化的区域产业政策与市场策略,以更加有效的方式促进产业数字化发展进而提升绿色全要素生产率,实现绿色可持续发展.

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关键词 ：产业数字化, 绿色全要素生产率, 环境规制, 动态面板门槛模型, 机制检验

Abstract：This study analyzes provincial panel data from China covering the period from 2014 to 2022 to measure the level of industrial digitalization across three sectors: agriculture, industry, and services. Additionally, it accounts for the input of data factors and various undesired outputs while evaluating green total factor productivity, thereby exploring the interaction effects and mechanisms between the two. The research findings are demonstrated as follows: Significant disparities exist in the levels of industrial digitalization among provinces, demonstrating a spatial pattern of “East > Central > West.”Moreover, green total factor productivity shows a consistent upward trend, indicating a progressive improvement in regional multi-level differentiation. Robustness tests reveal that industrial digitalization across Chinese provinces significantly enhances green total factor productivity, with impact effects characterized by the order of agriculture < industry < services. Regarding transmission pathways, the development of industrial digitalization in each province predominantly boosts green total factor productivity by reducing the mismatch between capital and labor and facilitating industrial structure upgrades; In provinces characterized by high public environmental awareness and lower industrialization levels, the effect of industrial digitalization on enhancing green total factor productivity is comparatively pronounced; The impact of industrial digitalization on green total factor productivity exhibits a single threshold characteristic, contingent upon the intensity of various forms of environmental regulation, with threshold values of 0.4582 for command-and-control regulation and 0.0096 for market-based regulation. Consequently, the government should formulate differentiated regional industrial policies and marketing strategies to more effectively promote the development of industrial digitalization and bolster green total factor productivity, thereby achieving sustainable green development.

Key words： industrial digitalization green total factor productivity environmental regulation dynamic panel threshold model mechanism testing

收稿日期: 2024-08-15

PACS:

X32

基金资助:国家社会科学基金项目(2023BJY090,23BJL077);国家自然科学基金项目(42201294);江西财经大学第十九届学生科研课题(20241125194930833)

作者简介: 黄和平(1969-),男,江西吉水人,教授,博士,主要从事生态系统管理与评价、环境规划与管理等研究.发表论文100余篇.hphuang@163.com

引用本文:

黄和平, 周桂明, 李国民. 产业数字化对绿色全要素生产率的影响机制研究——兼议环境规制的门槛效应[J]. 中国环境科学, 2025, 45(3): 1713-1730. HUANG He-ping, ZHOU Gui-ming, LI Guo-min. Research on the impact mechanism of industrial digitalization on green total factor productivity: The threshold effect of environmental regulation. CHINA ENVIRONMENTAL SCIENCECE, 2025, 45(3): 1713-1730.

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