首页|Dynamic Development Characteristics and Driving Factors of High Quality Development Level in China's Five Major Urban Agglomera-tions

Dynamic Development Characteristics and Driving Factors of High Quality Development Level in China's Five Major Urban Agglomera-tions

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High-quality development is the primary task of comprehensively building a socialist,modern country,as well as the primary task of building urban agglomerations in China.Based on the five development concepts,this paper used the entropy method to meas-ure the High Quality Development Index(HQDI)of the five major urban agglomerations.The results showed that the HQDI of the five major urban agglomerations shows a fluctuating upward trend.First,using the Dagum Gini coefficient to explore the sources of HQDI development differences in urban agglomerations,we found that the main source of HQDI differences in urban agglomerations was inter-regional differences,while intra-regional differences were not important.Second,kernel density estimation was used to test the dynam-ic evolution trend of HQDI within urban agglomerations.There was a polarisation phenomenon in the HQDI of urban agglomerations,such as the Pearl River Delta urban agglomeration and the Chengdu-Chongqing urban agglomeration.But overall,the degree of imbal-ance had decreased.Third,using geographic detectors to examine the driving factors of HQDI in urban agglomerations,we found that the main driving forces for improving HQDI in urban agglomerations were economic growth,artificial intelligence technology and fisc-al decentralisation.All the interaction factors had greater explanatory power for the spatial differentiation of HQDI,which can be di-vided into two types:two-factor improvement and non-linear improvement.This study is conducive to improving and enriching the the-oretical system for evaluating the high quality development of urban agglomerations,and provides policy references for promoting the high quality development of urban agglomerations.

urban agglomerationHigh Quality Development Index(HQDI)spatio-temporal evolutiondriving factors

ZOU Weiyong、XU Lingli

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School of Economics,Guangdong Ocean University,Zhanjiang 524088,China

School of Economics,Shanghai University,Shanghai 200444,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaScientific Research Startup Funds of Guangdong Ocean University

7237309472303149060302082319

2024

10.1007/s11769-024-1425-x

中国地理科学(英文版)
中国科学院长春地理研究所

中国地理科学(英文版)

CSTPCD
影响因子：0.754
ISSN：1002-0063
年,卷(期)：2024.34(5)