School of Statistics, Institute of Quantitative Economics, Huaqiao University, Xiamen 361021, China.
Int J Environ Res Public Health. 2023 Mar 4;20(5):4575. doi: 10.3390/ijerph20054575.
Green development is the only way to realize harmonious coexistence between people and nature, so it is of great significance to create a benchmark for high-quality development. Based on the panel data of 30 provinces (except Tibet, Hong Kong, Macao, and Taiwan) in China from 2009 to 2020, the super-efficiency slacks-based measure model was used to calculate the green economic efficiency of various regions in China, and a related statistical model was used to verify the influence of different types of environmental regulation policies on green economic efficiency and the intermediary effect of innovation factor agglomeration. The results show that: (1) during the inspection period, the influence of public-participation environmental regulation on the efficiency of the green economy presents an "inverted U" trend, while command-control and market-incentive environmental regulation policies inhibit the improvement of green economic efficiency; (2) the agglomeration of innovative elements plays a significant intermediary role in the transmission path of environmental regulation affecting green economic efficiency, but the intermediary effects of different types of environmental regulation are slightly different. Finally, we discuss environmental regulation and innovative elements, and some corresponding suggestions are put forward.
绿色发展是实现人与自然和谐共生的必由之路，因此，为高质量发展创造标杆具有重要意义。本文基于 2009 年至 2020 年中国 30 个省（除西藏、香港、澳门和台湾）的面板数据，采用超效率松弛测度模型计算了中国各地区的绿色经济效率，并使用相关统计模型验证了不同类型的环境规制政策对绿色经济效率的影响以及创新要素集聚的中介效应。结果表明：（1）在考察期内，公众参与环境规制对绿色经济效率的影响呈现“倒 U”型趋势，而命令-控制和市场激励型环境规制政策则抑制了绿色经济效率的提高；（2）创新要素集聚在环境规制影响绿色经济效率的传递路径中发挥了显著的中介作用，但不同类型的环境规制的中介效应略有不同。最后，我们讨论了环境规制和创新要素，并提出了一些相应的建议。
