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

IF 3.4 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Weiyong Zou, Lingli Xu
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Abstract

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.

中国五大城市群高质量发展水平的动态发展特征与驱动因素
高质量发展是全面建设社会主义现代化国家的首要任务,也是我国城市群建设的首要任务。基于五大发展理念,本文采用熵值法测算了五大城市群的高质量发展指数(HQDI)。结果表明,五大城市群的 HQDI 呈波动上升趋势。首先,利用达古姆基尼系数探讨城市群 HQDI 发展差异的来源,发现城市群 HQDI 差异的主要来源是区域间差异,而区域内差异并不重要。其次,利用核密度估计检验了城市群内部 HQDI 的动态演化趋势。珠三角城市群和成渝城市群等城市群的 HQDI 存在两极分化现象。但总体而言,失衡程度有所下降。第三,利用地理探测器研究城市群 HQDI 的驱动因素,我们发现城市群 HQDI 提升的主要驱动力是经济增长、人工智能技术和财政分权。所有交互因素对 HQDI 的空间分异都有较大的解释力,可分为双因素改善和非线性改善两种类型。该研究有利于完善和丰富城市群高质量发展评价理论体系,为推动城市群高质量发展提供政策参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Chinese Geographical Science
Chinese Geographical Science 环境科学-环境科学
CiteScore
6.10
自引率
5.90%
发文量
63
审稿时长
3.0 months
期刊介绍: Chinese Geographical Science is an international journal, sponsored by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, and published by Science Press, Beijing, China. Chinese Geographical Science is devoted to leading scientific and technological innovation in geography, serving development in China, and promoting international scientific exchange. The journal mainly covers physical geography and its sub-disciplines, human geography and its sub-disciplines, cartography, remote sensing, and geographic information systems. It pays close attention to the major issues the world is concerned with, such as the man-land relationship, population, resources, environment, globalization and regional development.
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