How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China

Xiang-Fei Ma, Ru Zhang and Yi-Fan Ruan ()
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Xiang-Fei Ma: School of Marxism, China University of Geosciences, Wuhan 430074, China
Ru Zhang: School of Public Administration, China University of Geosciences, Wuhan 430074, China
Yi-Fan Ruan: School of Marxism, China University of Geosciences, Wuhan 430074, China

IJERPH, 2023, vol. 20, issue 3, 1-15

Abstract: Evaluating the level of green development is of great significance to better implement the concept of green development. By constructing an evaluation index system for green development, this paper comprehensively uses the entropy weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and coefficient of variation method to evaluate the green development level of 30 provinces in China from 2010 to 2019 and analyzes the regional differences of green development in China. The research findings are as follows: First, the level of green development in China is low but shows a slow rise trend, from 2010 to 2019; China’s green development level rises from 0.274 to 0.317, an increase of 15.7%. Secondly, regional differences of green development in China are obvious, with the level ranking from high to low as eastern, western, and central regions. Third, regional differences in China’s green development first widen and then narrow, with the variation coefficient of green development in 30 provinces and eastern, central, and western regions of China showing an inverted U-shaped trend of first increasing and then decreasing. Fourth, the regional difference of green development in eastern China is largest, followed by western China, and the smallest is central China. Finally, based on research findings, relevant policy recommendations are put forward.

Keywords: new development concepts; green development; entropy weight TOPSIS; regional differences; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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