Evidence map›Paper›PMID 33918717›Full record

ArticleInternational journal of environmental research and public health2021

Analysis of China's Industrial Green Development Efficiency and Driving Factors: Research Based on MGWR.

Ke Liu, Yurong Qiao, Qian Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Research on Green Total Factor Productivity of Yangtze River Economic Belt Based on Environmental Regulation.International journal of environmental research and public health · 2021
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ke LiuSchool of Economics and Management & Center for Industry and Innovation, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Yurong QiaoSchool of Economics and Management & Center for Industry and Innovation, Zhengzhou University of Light Industry, Zhengzhou 450000, China.
Qian ZhouEconomics School, Zhongnan University of Economics and Law, Wuhan 430073, China.ORCID 0000-0002-2319-1095

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With increasingly severe constraints on resources and the environment, it is the mainstream trend of economic development to reduce industrial pollution emissions and promote green industrial development. In this paper, a super-efficiency slacks-based measure (SBM) model is adopted to measure the industrial green development efficiency (IGDE) of 289 cities in China from 2008 to 2018. Moreover, we analyze their spatiotemporal differentiation pattern. On this basis, the multiscale geographical weighted regression (MGWR) model is used to analyze the scale differences and spatial differences of the driving factors. The results show that the IGDE is still at a low level in China. From 2008 to 2018, the overall polarization of IGDE was relatively serious. The number of high- and low-efficiency cities increased, while that of medium-efficiency cities greatly decreased. Secondly, the IGDE presented an obvious spatial positive correlation. MGWR regression results show that the technological innovation, government regulation, and consumption level belonged to the global scale, and there was almost no spatial heterogeneity. Other driving factors were urbanization, industrial structure, economic development, and population density according to their spatial scale. Lastly, the influence of economic development and technological innovation had a certain circular structure in space; the influence of population size mainly occurred in the cities of the southeast coast and northeast provinces; the influence of urbanization was more obvious in the most northern provinces of the Yangtze River, while that of industrial structure was mainly concentrated in the most southern cities of the Yangtze River Economic Belt (YREB). Spatially, the influence of consumption was manifested as a distribution trend of decreasing from north to south, and the government regulation was manifested as increasing from west to east and then to northeast.

Indexed as

Industrial DevelopmentSustainable DevelopmentChinaCitiesEconomic DevelopmentEfficiencyChinaefficiency evaluationindustrial green developmentmultiscale geographical weighted regression (MGWR)spatial heterogeneity

Identifiers

PMID33918717
PMCPMC8070400

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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.