Green Economic Efficiency Evaluation Based on the GMM Model

Abstract

This paper uses a panel data sample of 30 resource-based cities (hereinafter referred to as R-B cities) in China from 2009 to 2019, constructs the green economic efficiency level (hereinafter referred to as GEE) using the super-SBM model, incorporates the GEE value into the endogenous economic growth model, combines the difference equation and the level equation, and estimates the relationship between the green efficiency level and economic growth using the systematic GMM method. The study came to the following major conclusions: First, green development in Chinese resource-based cities is moderately high, and green economic efficiency varies by region, with a relatively low level of GEE in the central region and a relatively high level of GEE in the eastern and western regions. Second, on both static and dynamic dimensions, Chinese resource-based cities can be classified into seven types based on their level of green development. Third, the GEE of Chinese resource-based cities has a significant positive relationship with economic growth, with the effect of green economic efficiency on economic growth being stronger in the central and northeastern regions.

Enterprises’ Emissions Intensity and Financial Performance in Serbia: The Case Study of Wastewater

“…Most of the literature refers to wastewater-based eco-efficiency research in China (Zhu et al, 2022;Zhou et al, 2020;Yu et al, 2016;Wang and Peng, 2021;Wang et al, 2022 ;Shi et al, 2021;Liu et al, 2022;Li et al, 2020;Huang et al, 2021;Hou et al, 2019;Chen et al, 2022b, etc.). There are few studies that analyze this indicator for some other countries.…”