人工智能驱动的创新是否能提高绿色生产力? 异质信息基础设施的作用
1School of Management, China Institute for Studies in Energy Policy, Collaborative Innovation Center for Energy Economics and Energy Policy, Xiamen University, Fujian, 361005, China.
Journal of environmental management
|June 11, 2025
概括
人工智能 (AI) 创新通过提高效率和人力资本来提高绿色总因子生产率 (GTFP). 信息基础设施放大了这些好处,特别是在非资源型城市.
科学领域:
- 环境科学 环境科学
- 经济学 经济学 经济学
- 技术研究 技术研究
背景情况:
- 人工智能 (AI) 为可持续发展带来机遇和挑战.
- 提高绿色生产力是低碳经济增长的关键.
- 有限的研究探讨了人工智能通过技术进步对绿色生产力的影响.
研究的目的:
- 研究人工智能驱动的创新与绿色总因子生产率 (GTFP) 之间的关系.
- 检查信息基础设施在这种关系中的调节作用.
- 利用技术-组织-环境框架和内生生长理论.
主要方法:
- 2011年至2022年间,来自中国284个城市的数据.
- 计量经济学分析,以评估人工智能创新对GTFP的影响.
- 分析信息基础设施和城市类型的缓解效应.
主要成果:
- 由人工智能驱动的创新通过提高能源效率,人力资本和绿色创新来显著改善GTFP.
- 在非以资源为基础,以环境为重点和非旧工业基地城市中观察到积极的影响.
- 信息基础设施放大了AI对GTFP的积极影响,具有显著的值效应.
结论:
- 人工智能驱动的创新是提高绿色总因子生产率的关键驱动力.
- 人工智能创新的有效性取决于环境,因城市特征和信息基础设施而异.
- 投资于信息基础设施,特别是计算能力,可以最大限度地提高人工智能对绿色生产力的贡献.
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