人工智能发展对绿色总因子生产率的影响
1School of Economics and Management, Northeast Agricultural University, Harbin City, Heilongjiang Province, China.
Scientific reports
|July 2, 2025
概括
人工智能 (AI) 显著提高了中国的绿色总因子生产率 (GTFP),特别是在东部地区. 这种影响受到技术创新和经济发展水平的调节.
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
- 区域经济发展 区域经济发展
背景情况:
- 提高绿色总因子生产率 (GTFP) 对中国的可持续经济增长和发展模式转型至关重要.
- 人工智能 (AI) 的发展越来越被认为有可能对GTFP产生重大影响.
研究的目的:
- 量化人工智能对中国GTFP的影响.
- 探索AI对GTFP影响的区域异质性和潜在机制.
- 根据技术创新和经济发展,确定AI对GTFP的值影响.
主要方法:
- 计算了30个中国地区 (2011-2020年) 的GTFP,使用超级渣基测量-全球马尔姆奎斯特-卢恩伯格 (SBM-GML) 方法.
- 收集手动人工智能数据并使用面板双固定效应模型.
- 利用分层值模型来分析缓和效应并确定值.
主要成果:
- 人工智能对GTFP有显著的积极影响,每增加1%的人工智能,GTFP增加0.3654%.
- 人工智能对GTFP的促进效应在中国东部地区更为明显.
- 该研究确定了研究,信息和服务 (RIS) 和经济改革 (ER) 是人工智能影响GTFP的关键道.
- 人工智能对GTFP的单一值效应被观察到,这取决于技术创新 (TI) 和人均GDP (LNPGDP) 的对数.
结论:
- 人工智能发展是增强GTFP在中国的重要驱动力.
- 建议针对性的人工智能发展战略,考虑到区域差异和创新水平,以改善省级GTFP.
- 了解值效应对于最大限度地提高人工智能对可持续经济发展的积极影响至关重要.
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