Measurement of Coordinated Development Level of Cross-Regional Urban Agglomerations from the Perspective of Industrial Transformation and Upgrading
Keywords:
Industrial Transformation and Upgrading; Cross-Regional Urban Agglomerations; Driving Capacity of Tertiary Industry.Abstract
Based on the panel data of Beijing-Tianjin-Hebei, Yangtze River Delta and Pearl River Delta city agglomerations in China from 2014 to 2020, this paper uses dynamic models to measure the coordinated economic development level of cross-regional urban agglomerations from the perspective of industrial transformation and upgrading, and estimates and analyzes relevant variables. The results show that the coordinated economic development degree of the Yangtze River Delta urban agglomeration, the Beijing-Tianjin-Hebei urban agglomeration and the Pearl River Delta urban agglomeration shows a fluctuating upward trend, but there are differences within and between urban agglomerations. There is a significant lagging effect of industrial transformation and upgrading on the coordinated development of cross-regional economy. The driving capacity of tertiary industry plays a role in promoting the impact of industrial transformation and upgrading on the coordinated economic development of cross-regional urban agglomerations, and the effect is stronger than the direct role of industrial transformation and upgrading.
Downloads
References
Cha Suqian. Research on the Impact of Financial Agglomeration on Regional Economic Growth from Spatial Perspective[J]. Economic Forum,2021,(09):137-144.
Xiang Xin, Tong Fei, Huang Huan. Analysis of the impact of industrial agglomeration on industrial structure upgrading in key urban agglomerations[J]. Regional Economic Review,2021,(05):84-90.
Wu Yanfang. Research on the Spatial Spillover Effect of Financial Agglomeration on Regional Economic Growth: A Comparative Analysis of Three Major Urban Agglomerations Based on Spatial Econometric Model[J]. Economic Issues,2020,(08):61-69.
DONG Yan, CHEN Qiusheng, WANG Cong. How Regional Financial Development Affects Agricultural Credit and Farmers' Entrepreneurship: An Empirical Study Based on CHFS[J]. Economic Theory and Economic Management, 2020, (06):72-86.
SHEN Li, ZHANG Ying, LI Wenjun, LIU Yuan. Spatial-temporal evolution and driving mechanism of regional financial risks in China: Based on the perspective of four economic sectors[J]. Southern Economics,2019,(09):1-18.
ZHANG Zhidong, WANG Tingting. The Impact of Industrial Clusters, Urban Agglomerations and Their Interactions on Regional Economic Growth: A Case Study of Urban Agglomerations in the Yangtze River Economic Belt [J]. Urban Issues,2019, (01):55-62.
WANG Qing, LIU Jun, JIN Zhiwen. Correlation analysis between regional financial risk and regional economic growth [J]. Reform,2018,(05):66-75.
Zhong Shen, Du Lei. Research on the Impact of Financial Agglomeration on Regional Economic Growth--Econometric Analysis Based on Spatial Panel Data[J]. Industrial Technological Economics,2018,37(04):62-69.
Gu Haibing, Zhang Min. Analysis of Regional Economic Integration Index Based on Internal and External Forces: A Case Study of Yangtze River Delta City Cluster[J]. Journal of Chinese Minmin University,2017,31(03):71-79.
ZENG Peng, XIANG Li. Research on the Conjugate Drive of Higher Education Investment and Industrial Agglomeration Level on Regional Economic Growth in China's Ten Major Urban Agglomerations[J]. Journal of Yunnan Normal University (Philosophy and Social Sciences Edition), 2015,47(04):138-145.
CHEN Xiaojing. Thinking on how to achieve economic integration through cross-regional economic cooperation: A case study of Wulingshan Longshan Laifeng Economic Cooperation Demonstration Zone[J]. Hubei Social Sciences,2014, (12):64-66.
XIE Jun, HUANG Zhizhong. Regional Financial Development, Internal Capital Market and Corporate Financing Constraints [J]. Accounting Research,2014,(07):75-81 97.
JI Shao, ZHU Zhisheng. Research on the Balance between Population Mobility and Regional Economic Development in China's Urban Agglomeration: An Analysis Based on the Long Table Data of the Sixth National Population Census[J]. Economic Theory and Economic Management,2014,(02):5-16.
Downloads
Published
Conference Proceedings Volume
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
