Han Yancui
Jincheng College, Nanjing University of Aeronautics and Astronautics, Nanjing, 211156, China.
Environ Sci Pollut Res Int. 2023 Jan;30(5):11675-11688. doi: 10.1007/s11356-022-22952-7. Epub 2022 Sep 13.
The paper selects the data of 30 regions in China from 2008 to 2020 as the basis to construct a theoretical analysis framework between fiscal decentralization, environmental regulation, and green economy efficiency (GEE). For empirical analysis, the study adopts super-slacks-based measure (SBM) method to measure GEE, and Tobit model is adopted to study the relationships between key constructs under investigation. The key findings of the study are as follows: (1) GEE level is at the upper middle level, and the green economic efficiency varies greatly among regions. The GEE value of the eastern region is the highest and lowest in the west, and the central region is in between. (2) From a national perspective, fiscal decentralization, environmental regulation, per capita gross domestic product (GDP), and urbanization all have a significant negative coefficient on the national GEE, inhibiting local GEE improvement. Foreign direct investment impact on GEE is not significant, but green credit has a significant positive coefficient. (3) From a regional perspective, the effects of fiscal decentralization on the green economic efficiency of western region were not significant, but the sign of coefficient found to be negative. However, in the other two regions, fiscal decentralization has a significant positive impact on GEE. Moreover, environmental regulation impact on GEE is positive in eastern region and negative in western part, and not significant in the central region; economic development can promote GEE in the central region and negative in west, but not significant in eastern region. Foreign direct investment (FDI) shows no significant impact in the eastern region but exists a significant negative impact in the other two regions. Finally, green credit has no significant impact in the central region but exists significant positive effect in the other two regions. This paper studies the green economic efficiency of undesired output, which is of great significance to my country's future green development and the formulation of environmental regulation policies.
本文选取2008年至2020年中国30个地区的数据为基础，构建财政分权、环境规制与绿色经济效率（GEE）之间的理论分析框架。实证分析中，该研究采用基于超效率松弛测度（SBM）方法来测度绿色经济效率，并采用Tobit模型研究相关关键变量之间的关系。该研究的主要发现如下：（1）绿色经济效率水平处于中上等水平，且各地区绿色经济效率差异较大。东部地区的绿色经济效率值最高，西部地区最低，中部地区介于两者之间。（2）从全国层面来看，财政分权、环境规制、人均国内生产总值（GDP）和城市化对全国绿色经济效率均具有显著负向系数，抑制了地方绿色经济效率提升。外商直接投资对绿色经济效率的影响不显著，但绿色信贷具有显著正向系数。（3）从区域层面来看，财政分权对西部地区绿色经济效率的影响不显著，但系数符号为负。然而，在其他两个地区，财政分权对绿色经济效率具有显著正向影响。此外，环境规制对东部地区绿色经济效率的影响为正，对西部地区为负，对中部地区不显著；经济发展对中部地区绿色经济效率有促进作用，对西部地区为负，对东部地区不显著。外商直接投资（FDI）在东部地区无显著影响，但在其他两个地区存在显著负向影响。最后，绿色信贷在中部地区无显著影响，但在其他两个地区存在显著正向影响。本文研究了非期望产出下的绿色经济效率，对我国未来绿色发展及环境规制政策的制定具有重要意义。
