人工智能在综合治理下对绿色经济效率的影响
Zhichun Song1,2, Yao Deng3
1Institute for Chengdu-Chongqing Economic Zone Development, Chongqing Technology and Business University, Chongqing, China. 2023251009@ctbu.edu.cn.
Scientific reports
|July 17, 2025
概括
人工智能 (AI) 在中国显著提升了绿色经济效率 (GEE). 然而,它的有效性受到区域因素和不同的治理策略的影响,包括环境法规和技术创新.
科学领域:
- 环境经济学环境经济学
- 技术创新技术创新技术创新
- 区域发展 区域发展
背景情况:
- 人工智能 (AI) 在经济发展中的重要性越来越大.
- 越来越多地关注绿色经济效率 (GEE) 实现可持续增长.
- 需要了解人工智能采用和环境绩效之间的相互作用.
研究的目的:
- 在中国省份实证调查人工智能对GEE的影响.
- 分析区域特征和治理机制如何影响这种关系.
- 为优化AI驱动绿色发展的治理提供见解.
主要方法:
- 利用了来自中国30个省份 (2011-2020) 的面板数据.
- 采用计量经济学分析来评估AI对GEE的影响.
- 研究了不同类型的治理 (政策,技术,法律) 的缓和效应.
主要成果:
- 人工智能显著增强了GEE,在经济先进和技术密集的地区的影响更大.
- 基于市场的环境法规 (MER) 削弱了人工智能的影响,而行政命令 (CER) 和非正式 (IER) 规则则则加强了它.
- 实质性的绿色技术创新 (SUG) 降低了人工智能的有效性,而象征性的创新 (SYG) 提高了它的有效性. 行政 (AIP) 和司法 (JIP) 两种知识产权保护都可以减少人工智能的边际影响.
结论:
- 人工智能是提高绿色经济效率的关键驱动力.
- 人工智能在促进GEE方面的有效性取决于特定的治理框架.
- 政策制定者应该定制治理策略,以最大限度地提高人工智能对可持续发展的积极影响.
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