文献类型：期刊文献

中文题名：Dynamic Development Characteristics and Driving Factors of High Quality Development Level in China’s Five Major Urban Agglomerations

英文题名：Dynamic Development Characteristics and Driving Factors of High Quality Development Level in China's Five Major Urban Agglomerations

作者：Zou, Weiyong[1];Xu, Lingli[2]

机构：[1]Guangdong Ocean Univ, Sch Econ, Zhanjiang 524088, Peoples R China;[2]Shanghai Univ, Sch Econ, Shanghai 200444, Peoples R China

年份：2024

卷号：34

期号：5

起止页码：777

中文期刊名：Chinese Geographical Science

外文期刊名：CHINESE GEOGRAPHICAL SCIENCE

收录：SCI-EXPANDED(收录号：WOS:001186186300005)、CSTPCD、、CSCD2023_2024、Scopus(收录号：2-s2.0-85187930535)、WOS、CSCD、PubMed

基金：Under the auspices of National Natural Science Foundation of China(No.72373094,72303149);Scientific Research Start-up Funds of Guangdong Ocean University(No.060302082319)。

语种：英文

中文关键词：urban agglomeration;High Quality Development Index(HQDI);spatio-temporal evolution;driving factors

外文关键词：urban agglomeration; High Quality Development Index (HQDI); spatio-temporal evolution; driving factors

中文摘要：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 measure 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 dynamic 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 imbalance 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 fiscal decentralisation.All the interaction factors had greater explanatory power for the spatial differentiation of HQDI,which can be divided into two types:two-factor improvement and non-linear improvement.This study is conducive to improving and enriching the theoretical system for evaluating the high quality development of urban agglomerations,and provides policy references for promoting the high quality development of urban agglomerations.

外文摘要：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 measure 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 interregional differences, while intra-regional differences were not important. Second, kernel density estimation was used to test the dynamic 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 imbalance 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 fiscal decentralisation. All the interaction factors had greater explanatory power for the spatial differentiation of HQDI, which can be divided into two types: two-factor improvement and non-linear improvement. This study is conducive to improving and enriching the theoretical system for evaluating the high quality development of urban agglomerations, and provides policy references for promoting the high quality development of urban agglomerations.