School of Statistics, University of International Business and Economics, Beijing, 100029, China.
School of Economics and Management, Beijing Forestry University, Beijing, 100083, China.
Environ Sci Pollut Res Int. 2022 Feb;29(9):12810-12831. doi: 10.1007/s11356-020-11436-1. Epub 2020 Nov 14.
The empirical conclusions regarding the influence of innovation on green total factor productivity (GTFP) are relatively mixed. Based on China's provincial panel data from 1999 to 2015, this paper uses the number of patent applications to measure regional innovation capacity, and comprehensively examines the linear and nonlinear effects of innovation on GTFP. Our results show that innovation plays a leading role in promoting GTFP growth in China in general. However, two different types of patents, invention patents, and non-invention patents have heterogeneous impacts on China's green growth under the difference of innovation level. Additionally, the relationship between innovation and China's GTFP also differs significantly before and after 2009. A further nonlinear effect analysis based on a panel threshold model reveals that the impact of innovation on GTFP is higher with the rise of human capital, knowledge stock, and financial development. However, only the appropriate environmental regulation stringency is conducive to promoting the influence of innovation on China's green growth. Overall, our findings contribute to a better understanding regarding the impact of innovation on GTFP in China.
关于创新对绿色全要素生产率(GTFP)的影响的经验结论相对混杂。本文基于 1999 年至 2015 年中国省级面板数据,采用专利申请数量来衡量区域创新能力,综合考察了创新对 GTFP 的线性和非线性影响。结果表明,创新在中国总体上对 GTFP 的增长起到了主导作用。然而,两种不同类型的专利,即发明专利和非发明专利,在创新水平差异下对中国的绿色增长产生了异质影响。此外,创新与中国 GTFP 之间的关系在 2009 年前后也有显著差异。基于面板门限模型的进一步非线性效应分析表明,随着人力资本、知识存量和金融发展水平的提高,创新对 GTFP 的影响更高。然而,只有适当的环境监管力度才有利于促进创新对中国绿色增长的影响。总体而言,我们的研究结果有助于更好地理解创新对中国 GTFP 的影响。