数据因素驱动产业对绿色总因子生产率的影响:来自中国的证据
1School of Economics and Finance, Guizhou University of Commerce, Guiyang, 550000, China.
Scientific reports
|October 25, 2024
概括
数据因素驱动的行业促进了中国城市的绿色总因子生产率 (GTFP). 通过促进人工智能创新和创业来实现这一目标,从而改善资源利用和经济发展.
科学领域:
- 经济学 经济学 经济学
- 环境科学 环境科学
- 信息技术 信息技术 信息技术
背景情况:
- 数据因素对经济发展越来越重要.
- 中国的目标是实现绿色和高质量的增长.
- 了解数据对生产率的影响至关重要.
研究的目的:
- 分析数据因素驱动产业对中国城市绿色总因子生产率 (GTFP) 的影响.
- 探索数据因素影响GTFP的机制,包括AI创新和创业.
- 调查数据因素驱动的行业与GTFP之间的关系的区域异质性.
主要方法:
- 从2008年到2020年,中国277个城市的数据分析.
- 以计经济模型评估数据因素驱动的行业与GTFP之间的关系.
- 基于数字创新和节省水平的异质性分析.
主要成果:
- 城市数据因素驱动的行业显著增强了GTFP.
- 这些行业通过人工智能技术创新和创业来提高输入-输出比率来促进GTFP.
- 数据因素驱动的行业对GTFP的积极影响在数字创新高的地区和储蓄低的地区更为明显,这表明资本的有效利用.
结论:
- 数据因素驱动的行业是改善中国城市GTFP的关键驱动力.
- 政策应侧重于利用数据因素,以促进人工智能创新和企业家精神,促进绿色发展.
- 需要量身定制的区域战略,以最大限度地利用数据因素驱动的行业,实现可持续的城市增长.
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