Song Zhichun, Deng Yao
Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China.
Pass College of Chongqing Technology and Business University, Chongqing, China.
Sci Rep. 2025 Jul 17;15(1):25919. doi: 10.1038/s41598-025-03817-8.
This study investigates the impact of Artificial Intelligence (AI) on Green Economic Efficiency (GEE) using panel data from 30 Chinese provinces spanning from 2011 to 2020. The empirical results demonstrate that AI significantly enhances GEE, with its effects varying across regions and governance types. Specifically, AI's impact is stronger in economically advanced and technologically intensive provinces. In terms of policy governance, excessive Market-based Environmental Regulations (MER) diminish AI's effect on GEE, while stronger Administrative-command Environmental Regulations (CER) and Informal Environmental Regulations (IER) amplify it. Technological governance, particularly Substantive Green Technological Innovations (SUG), reduces AI's effectiveness due to high investment thresholds, whereas Symbolic Green Technological Innovations (SYG) increase AI's impact on GEE. In legal governance, both Administrative Intellectual Property Protection (AIP) and Judicial Intellectual Property Protection (JIP) can reduce AI's marginal effect, with AIP showing a stronger threshold effect. These findings empirically support the theoretical models of AI-driven green development, highlighting the varying roles of governance mechanisms in promoting GEE and offering actionable insights for policymakers to optimize governance frameworks for sustainable growth.
本研究利用2011年至2020年中国30个省份的面板数据，调查了人工智能（AI）对绿色经济效率（GEE）的影响。实证结果表明，人工智能显著提高了绿色经济效率，其影响因地区和治理类型而异。具体而言，人工智能在经济发达和技术密集型省份的影响更强。在政策治理方面，过度的基于市场的环境规制（MER）会削弱人工智能对绿色经济效率的影响，而更强有力的行政命令式环境规制（CER）和非正式环境规制（IER）则会增强这种影响。技术治理方面，特别是实质性绿色技术创新（SUG），由于投资门槛高，会降低人工智能的有效性，而象征性绿色技术创新（SYG）则会增强人工智能对绿色经济效率的影响。在法律治理方面，行政知识产权保护（AIP）和司法知识产权保护（JIP）都可以降低人工智能的边际效应，其中行政知识产权保护的阈值效应更强。这些发现从实证上支持了人工智能驱动的绿色发展理论模型，突出了治理机制在促进绿色经济效率方面的不同作用，并为政策制定者优化可持续增长的治理框架提供了可操作的见解。
