2022
DOI: 10.3389/fenvs.2022.1012304
|View full text |Cite
|
Sign up to set email alerts
|

A study on dynamic evolution, regional differences and convergence of high-quality economic development in urban agglomerations: A case study of three major urban agglomerations in the Yangtze river economic belt

Abstract: Based on the data of 85 cities in the three major urban agglomerations in the Yangtze River Economic Belt from 2011 to 2020, this paper measures the level of high-quality economic development of each city through the improved entropy-weighted TOPSIS method and uses the kernel density estimation method, Dagum Gini coefficient, and convergence model to further study the dynamic evolution, regional differences, and convergence state of the high-quality economic development level of the three major urban agglomera… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(10 citation statements)
references
References 49 publications
0
4
0
Order By: Relevance
“…The KDE method can analyze the regional difference characteristics of the observed objects from the characteristics of the distribution pattern, change trend and ductility of the observed objects ( 60 ). Therefore, it has been widely used in the study of regional differences when measuring economic development, health service supply, and health level of the population ( 61 64 ).…”
Section: Methodsmentioning
confidence: 99%
“…The KDE method can analyze the regional difference characteristics of the observed objects from the characteristics of the distribution pattern, change trend and ductility of the observed objects ( 60 ). Therefore, it has been widely used in the study of regional differences when measuring economic development, health service supply, and health level of the population ( 61 64 ).…”
Section: Methodsmentioning
confidence: 99%
“…Qiu et al analyzed the spatialtemporal heterogeneity of green development efficiency and its influencing factors in the growing Xuzhou Metropolitan Area [50]. However, the majority of studies concentrate on the economy and green development of urban agglomerations [51,52], with limited research dedicated specifically to the high-quality development of urban agglomerations and metropolitan areas, and even fewer evaluations of efficiency. Additionally, when assessing the development level of both metropolitan areas and urban agglomerations, the entropy weight method is predominantly used, while other methods are rarely employed.…”
Section: Literature Reviewmentioning
confidence: 99%
“…However, the SBM model's values are restricted to a range of 0 to 1, which presents a challenge when multiple DMUs can be efficient simultaneously. To address this issue, Tone introduced the super-efficiency SBM model, which assesses DMUs using effective SBMs and allows for comparison among multiple effective DMUs [51]. By integrating the SBM model with the concept of super-efficiency, the super-efficiency SBM model facilitates the computation of efficiency scores for all Decision Making Units (DMUs), taking into account unexpected outputs.…”
Section: Super Efficiency Sbm Modelmentioning
confidence: 99%
“…It covers economic growth points, which is more in line with the current situation of China's green and high-quality development [38]. Zha et al [39] used EW-TOPSIS to investigate the development characteristics of HED of the significant city clusters in the Yangtze River Economic Belt. Guo and Sun [40] added economic development indexes to measure the HED of 30 provinces in China.…”
Section: High-quality Urban Economic Developmentmentioning
confidence: 99%