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

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 Solut...

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Detalles Bibliográficos
Autores principales: Ma, Xiang-Fei, Zhang, Ru, Ruan, Yi-Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914231/
https://www.ncbi.nlm.nih.gov/pubmed/36767074
http://dx.doi.org/10.3390/ijerph20031707
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author Ma, Xiang-Fei
Zhang, Ru
Ruan, Yi-Fan
author_facet Ma, Xiang-Fei
Zhang, Ru
Ruan, Yi-Fan
author_sort Ma, Xiang-Fei
collection PubMed
description 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.
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spelling pubmed-99142312023-02-11 How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China Ma, Xiang-Fei Zhang, Ru Ruan, Yi-Fan Int J Environ Res Public Health Article 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. MDPI 2023-01-17 /pmc/articles/PMC9914231/ /pubmed/36767074 http://dx.doi.org/10.3390/ijerph20031707 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ma, Xiang-Fei
Zhang, Ru
Ruan, Yi-Fan
How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title_full How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title_fullStr How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title_full_unstemmed How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title_short How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China
title_sort how to evaluate the level of green development based on entropy weight topsis: evidence from china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914231/
https://www.ncbi.nlm.nih.gov/pubmed/36767074
http://dx.doi.org/10.3390/ijerph20031707
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