人工智能如何影响中国绿色经济增长的转型? 从内部结构的角度进行分析
Chao Feng1, Xinru Ye1, Jun Li1
1School of Economics and Business Administration, Chongqing University, Chongqing, 400030, China.
Journal of environmental management
|January 4, 2024
概括
人工智能 (AI) 通过提高绿色总因子生产率 (GTFP) 来推动绿色经济发展. 这种影响在欠发达地区最为明显,主要是通过提高资源分配效率.
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) 被认为是绿色经济发展的关键驱动力.
- 人工智能对绿色经济的内部结构,特别是绿色总因子生产率 (GTFP) 的具体影响仍未得到充分研究.
研究的目的:
- 从内部结构的角度研究AI对GTFP的影响.
- 阐明人工智能影响GTFP的机制.
- 分析人工智能对中国GTFP影响的区域差异.
主要方法:
- 利用来自中国的2009年至2021年的省级面板数据.
- 使用全球马尔姆奎斯特指数来评估GTFP的变化.
- 进行区域分析以了解差异化影响.
主要成果:
- 人工智能发展为中国的GTFP增长做出了积极贡献,在较不发达地区的影响更为明显.
- 人工智能增强GTFP的主要机制是通过提高资源分配效率,通过技术进步和规模效率产生较小的影响.
- 存在显著的区域差异:人工智能通过技术进步和资源配置在东部地区促进GTFP,在中部地区主要通过技术进步,在西部地区特别是通过规模效率.
结论:
- 人工智能是中国绿色经济转型和GTFP增长的重要贡献者.
- 人工智能影响GTFP的途径是多样化的,并且取决于区域.
- 研究结果支持制定定制的区域政策,以利用人工智能促进可持续发展.
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