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 pap...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.展开更多
In this paper, based on the interpretation of the connotation of high-quality development, an urban development quality evaluation index system was established from six aspects of economic strength, the level of scien...In this paper, based on the interpretation of the connotation of high-quality development, an urban development quality evaluation index system was established from six aspects of economic strength, the level of science and education, government management, resources and environment, the level of openness, and infrastructure, the entropy method and cluster analysis were used to conduct an empirical analysis of the quality of urban development in Guangdong Province, and relevant suggestions were proposed accordingly. The results showed that:(1) the level of science and education was the most important factor affecting the quality of urban development in Guangdong Province;(2) the quality of urban development in Guangdong Province was extremely uncoordinated;(3) cities with stronger economic strength had lower resource and environment evaluation;(4) cities of Guangdong Province could be divided into three categories: cities in a quality optimization stage, cities in a quality improvement stage, and cities in a quality lagging stage that could be further divided into three categories.展开更多
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)。
文摘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.
文摘In this paper, based on the interpretation of the connotation of high-quality development, an urban development quality evaluation index system was established from six aspects of economic strength, the level of science and education, government management, resources and environment, the level of openness, and infrastructure, the entropy method and cluster analysis were used to conduct an empirical analysis of the quality of urban development in Guangdong Province, and relevant suggestions were proposed accordingly. The results showed that:(1) the level of science and education was the most important factor affecting the quality of urban development in Guangdong Province;(2) the quality of urban development in Guangdong Province was extremely uncoordinated;(3) cities with stronger economic strength had lower resource and environment evaluation;(4) cities of Guangdong Province could be divided into three categories: cities in a quality optimization stage, cities in a quality improvement stage, and cities in a quality lagging stage that could be further divided into three categories.
