Evidence map›Paper›PMID 35954660›Full record

ArticleInternational journal of environmental research and public health2022

Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

Rui Zhang, Yong Ma, Jie Ren

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China.International journal of environmental research and public health · 2023
    Article
  3. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rui ZhangSchool of Business, Hubei University, Wuhan 430062, China.ORCID 0000-0001-6889-8476
Yong MaCenter for Tourism Development and Management Studies of Hubei, Wuhan 430062, China.
Jie RenCollege of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted "N" shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed "high in the east and low in the west" spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people's welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a "pollution paradise" to a "pollution halo".

Indexed as

RiversSustainable DevelopmentChinaCitiesEconomic DevelopmentEfficiencyHumansentropy weight TOPSISgreen development efficiencygreen development levelinfluencing factorssuper-EBM modelYangtze River Economic Belt

Identifiers

PMID35954660
PMCPMC9368428

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.