Research on the Efficiency and Obstacle Factors of Green Transformation in Resource Based Cities: A Case Study of Jiayuguan City,Gansu Province

As the core pillar of the national energy supply system, resource-based cities provide a solid material foundation for China' s economic transformation towards an environmentally friendly and low-carbon model. It is crucial to scientifically evaluate the efficiency of green transformation in order to promote the coordinated development of . “resources environment cities”. Taking Jiayuguan City, a typical resourcebased city in northwest China, as an example, this study constructs an urban green transformation efficiency evaluation system from four dimensions of economic transformation, social transformation, environmental transformation, and green transformation, with 14 indicator evaluation factors. The entropy weight TOPSIS model is used to measure the green transformation efficiency of Jiayuguan City from 2008 to 2018, and the obstacle model is combined to evaluate the obstacle factors that affect the green transformation of Jiayuguan City. Finally, propose strategies for the green transformation and development in response to the identified issues. The results show that: (1) In terms of economic transformation, the efficiency of economic transformation in Jiayuguan City has been increasing year by year, but it is basically in the intermediate stage, with the highest GDP weight; In terms of social transformation, Jiayuguan City has made significant progress since 2015, reaching a relatively optimal state; In terms of environmental transformation, Jiayuguan City entered a high-quality stage in 2012, and its relative closeness has been increasing year by year; In terms of green transformation, Jiayuguan City has entered the high-quality stage from the initial stage since 2012, and its relative closeness has been increasing year by year. The relative closeness has shown a continuous improvement trend, but the growth rate is relatively slow, and there is still significant room for improvement in the transformation process (2) From 2008 to 2018, in terms of economic transformation, social transformation, environmental transformation, and green transformation, there were significant changes in D+and D-in Jiayuguan City, and the efficiency of green transformation gradually approached the development level of the optimal ideal solution. (3) The proportion of days when the urban air quality meets the standard (X8) and the centralized treatment rate of sewage treatment plants (X13) are the main obstacles to the green transformation and development of Jiayuguan City.

Authors

Publication Details

Journal
FRONTIERS OF DEVELOPMENT GEOGRAPHY
Published
2025-03-28
DOI
https://doi.org/10.48014/fdg.20250210001
Primary Topic
Environmental Quality and Pollution
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on the Efficiency and Obstacle Factors of Green Transformation in Resource Based Cities: A Case Study of Jiayuguan City,Gansu Province

Tiantian Zhang, Xianglong Tang
FRONTIERS OF DEVELOPMENT GEOGRAPHY
Environmental Quality and Pollution
article

Research on the Efficiency and Obstacle Factors of Green Transformation in Resource Based Cities: A Case Study of Jiayuguan City,Gansu Province

Tiantian Zhang, Xianglong Tang
article en

Abstract

As the core pillar of the national energy supply system, resource-based cities provide a solid material foundation for China' s economic transformation towards an environmentally friendly and low-carbon model. It is crucial to scientifically evaluate the efficiency of green transformation in order to promote the coordinated development of . “resources environment cities”. Taking Jiayuguan City, a typical resourcebased city in northwest China, as an example, this study constructs an urban green transformation efficiency evaluation system from four dimensions of economic transformation, social transformation, environmental transformation, and green transformation, with 14 indicator evaluation factors. The entropy weight TOPSIS model is used to measure the green transformation efficiency of Jiayuguan City from 2008 to 2018, and the obstacle model is combined to evaluate the obstacle factors that affect the green transformation of Jiayuguan City. Finally, propose strategies for the green transformation and development in response to the identified issues. The results show that: (1) In terms of economic transformation, the efficiency of economic transformation in Jiayuguan City has been increasing year by year, but it is basically in the intermediate stage, with the highest GDP weight; In terms of social transformation, Jiayuguan City has made significant progress since 2015, reaching a relatively optimal state; In terms of environmental transformation, Jiayuguan City entered a high-quality stage in 2012, and its relative closeness has been increasing year by year; In terms of green transformation, Jiayuguan City has entered the high-quality stage from the initial stage since 2012, and its relative closeness has been increasing year by year. The relative closeness has shown a continuous improvement trend, but the growth rate is relatively slow, and there is still significant room for improvement in the transformation process (2) From 2008 to 2018, in terms of economic transformation, social transformation, environmental transformation, and green transformation, there were significant changes in D+and D-in Jiayuguan City, and the efficiency of green transformation gradually approached the development level of the optimal ideal solution. (3) The proportion of days when the urban air quality meets the standard (X8) and the centralized treatment rate of sewage treatment plants (X13) are the main obstacles to the green transformation and development of Jiayuguan City.

FRONTIERS OF DEVELOPMENT GEOGRAPHYVol. 4(1)
Openalex Percentile: Top 91%
Environmental Quality and Pollution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.