Does the Functional Division in Urban Agglomerations Contribute to Economic Growth? ——An Empirical Research Based on Panel Data of Top Ten Urban Agglomerations
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Does the Functional Division in Urban Agglomerations Contribute to Economic Growth? ——An Empirical Research Based on Panel Data of Top Ten Urban Agglomerations
SHANG Yongzhen1, CHEN Yao2
1.Graduate School,Chinese Academy Of Social Sciences,Beijing 102488,China; 2.Institute of Industrial Economics of Cass, Beijing 108836,China
Abstract Under the background of increasingly refined global division of labor, the situation of functional division in China's urban agglomeration is becoming obvious. This paper studies the relationship between functional division in urban agglomerations and urban economic growth, by using the panel data of the top ten urban agglomerations in China from 2003 to 2016, distinguishing between central cities and surrounding cities and adopting the fixed effect model. The empirical results show that there is a significant positive correlation between the economic growth and the functional division in central cities, with a significant negative correlation in surrounding cities. The specialized division of labor and cooperation mode formed within the urban agglomeration, in which the central city is dominated by productive service industry and the surrounding cities are dominated by manufacturing can significantly promote the economic growth of the city.On this basis, the following policy suggestions are put forward to deepen the functional division in urban agglomeration: strengthen the division of labor and cooperation between the center and surrounding cities to promote the complementarity of urban functions;accelerate the integration of urban infrastructure and public services to reduce barriers to factor flow; improve the mechanism for coordinated development to resolve conflicts of interests among cities.
SHANG Yongzhen,CHEN Yao. Does the Functional Division in Urban Agglomerations Contribute to Economic Growth? ——An Empirical Research Based on Panel Data of Top Ten Urban Agglomerations. Economic Survey, 2020, 37(1): 01.