Huang Ping, Chen Xiaohui
School of Economics and Finance, Guizhou University of Commerce, Guiyang, 550000, China.
Faculty of Economics and Business Administration, Yibin University, Yibin, 644000, China.
Sci Rep. 2024 Oct 25;14(1):25377. doi: 10.1038/s41598-024-77189-w.
Data factors have become an essential factor of production in today's digital era, and provided renewed energy for China's green and high-quality development. This study analyses the impact of data factor-driven industries on green total factor productivity (GTFP) and the underlying mechanisms using panel data of 277 Chinese cities from 2008 to 2020. The results show that: First, the urban data factor-driven industry can enhance GTFP. Second, the data factor-driven industry can increase the input-output ratio and enhance GTFP by promoting AI technological innovation and AI technological entrepreneurship. Third, the heterogeneity analysis show that in regions with high levels of digital technological innovation, the market size of data factor-driven industries is larger and the effect of data factor-driven industries in enhancing GTFP is more significant. And in regions with low levels of savings, the data factor-driven industry has limited capital availability and is more efficient in using capital, which has a stronger effect on GTFP enhancement. This study provides valuable empirical evidence on the relationship between data factor-driven industries and urban GTFP, and important policy implications for fully leveraging the green economic effects of data factors, and promoting green and high-quality urban development.
数据要素已成为当今数字时代的关键生产要素，为中国绿色高质量发展注入新动力。本研究利用2008年至2020年中国277个城市的面板数据，分析数据要素驱动型产业对绿色全要素生产率（GTFP）的影响及其内在机制。结果表明：第一，城市数据要素驱动型产业能够提高绿色全要素生产率。第二，数据要素驱动型产业可以通过促进人工智能技术创新和人工智能技术创业来提高投入产出比并提升绿色全要素生产率。第三，异质性分析表明，在数字技术创新水平较高的地区，数据要素驱动型产业的市场规模更大，数据要素驱动型产业对提升绿色全要素生产率的作用更为显著。而在储蓄水平较低的地区，数据要素驱动型产业的资金可得性有限，但资金使用效率更高，对绿色全要素生产率提升的作用更强。本研究为数据要素驱动型产业与城市绿色全要素生产率之间的关系提供了有价值的实证证据，并为充分发挥数据要素的绿色经济效应、推动城市绿色高质量发展提供了重要政策启示。
