Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems

New economic geography (NEG) raises the question why the “agglomeration shadow” effect is significant in some urban regions but not others. This study attempts to answer this question in the context of China by examining the impact of industrial composition of core cities on regional urban systems....

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Main Authors: Jiaming Li, Dongqi Sun
Format: Article
Language:English
Published: Hindawi-Wiley 2020-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2020/5717803
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spelling doaj-6f6c7a4eae2544bbacb48f1cc7aea10f2020-11-25T03:16:24ZengHindawi-WileyComplexity1076-27871099-05262020-01-01202010.1155/2020/57178035717803Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban SystemsJiaming Li0Dongqi Sun1Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaNew economic geography (NEG) raises the question why the “agglomeration shadow” effect is significant in some urban regions but not others. This study attempts to answer this question in the context of China by examining the impact of industrial composition of core cities on regional urban systems. Based on the model of urban location from NEG, this study attempts to examine the population growth of six core cities and their urban systems in China. We find services exert a significantly negative effect on market potential, while that of manufacturing is positive. The results are robust in different spatial scales and time spans. This suggests that strong centralizing and agglomerative effects of higher order service sector are more likely to cast an agglomeration shadow on noncore cities in China’s regional urban systems. The differences in industrial composition can explain why an urban region centered on a large core city like Beijing is more likely to cast an agglomeration shadow on its surrounding cities compared to the Shanghai-centered urban region. The findings hold important implications for uneven development of regional urban systems and construction of metropolitan areas in China.http://dx.doi.org/10.1155/2020/5717803
collection DOAJ
language English
format Article
sources DOAJ
author Jiaming Li
Dongqi Sun
spellingShingle Jiaming Li
Dongqi Sun
Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
Complexity
author_facet Jiaming Li
Dongqi Sun
author_sort Jiaming Li
title Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
title_short Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
title_full Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
title_fullStr Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
title_full_unstemmed Industrial Composition and Agglomeration Shadow: Evidence from China’s Large Urban Systems
title_sort industrial composition and agglomeration shadow: evidence from china’s large urban systems
publisher Hindawi-Wiley
series Complexity
issn 1076-2787
1099-0526
publishDate 2020-01-01
description New economic geography (NEG) raises the question why the “agglomeration shadow” effect is significant in some urban regions but not others. This study attempts to answer this question in the context of China by examining the impact of industrial composition of core cities on regional urban systems. Based on the model of urban location from NEG, this study attempts to examine the population growth of six core cities and their urban systems in China. We find services exert a significantly negative effect on market potential, while that of manufacturing is positive. The results are robust in different spatial scales and time spans. This suggests that strong centralizing and agglomerative effects of higher order service sector are more likely to cast an agglomeration shadow on noncore cities in China’s regional urban systems. The differences in industrial composition can explain why an urban region centered on a large core city like Beijing is more likely to cast an agglomeration shadow on its surrounding cities compared to the Shanghai-centered urban region. The findings hold important implications for uneven development of regional urban systems and construction of metropolitan areas in China.
url http://dx.doi.org/10.1155/2020/5717803
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