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. 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.

[1]  Ben Derudder,et al.  Mapping producer services networks in mainland Chinese cities , 2015 .

[2]  Kristina Tobio,et al.  What is Different About Urbanization in Rich and Poor Countries? Cities in Brazil, China, India and the United States , 2016 .

[3]  Tomoya Mori.  A Modeling of Megalopolis Formation: The Maturing of City Systems , 1997 .

[4]  K. Soo.  Zipf, Gibrat and geography: Evidence from China, India and Brazil , 2014 .

[5]  A. Scott,et al.  Rethinking Human Capital, Creativity and Urban Growth , 2008 .

[6]  J. Eeckhout.  Gibrat's Law for (All) Cities , 2004 .

[7]  K. Murota,et al.  Agglomeration patterns in a long narrow economy of a new economic geography model: Analogy to a racetrack economy , 2017 .

[8]  Yannis M. Ioannides,et al.  Spatial interactions among U.S. cities: 1900–1990 , 2001 .

[9]  Mingxing Chen,et al.  Evolution and assessment on China's urbanization 1960–2010: Under-urbanization or over-urbanization? , 2013 .

[10]  Pierre-Philippe Combes,et al.  The Spatial Distribution of Economic Activities in the EU , 2003 .

[11]  G. Lin.  Small town development in socialist China: a functional analysis , 1993 .

[12]  Masahisa Fujita,et al.  When is the economy monocentric?: von Thünen and Chamberlin unified , 1995 .

[13]  Tomoya Mori,et al.  On the evolution of hierarchical urban systems1 , 1999 .

[14]  M. Burger,et al.  Borrowed Size, Agglomeration Shadows and Cultural Amenities in North-West Europe , 2015 .

[15]  Henry G. Overman,et al.  Spatial evolution of the US urban system , 2004 .

[16]  Eltjo Buringh,et al.  City Seeds. Geography and the Origins of the European City System , 2010 .

[17]  Nick Henry,et al.  Paul Krugman's geographical economics, industrial clustering and the British motor sport industry. , 1999 .

[18]  M. Partridge.  The duelling models: NEG vs amenity migration in explaining US engines of growth , 2010 .

[19]  Tomoya Mori,et al.  Structural stability and evolution of urban systems , 1997 .

[20]  Jacques-François Thisse,et al.  Regional Specialization, Urban Hierarchy, and Commuting Costs , 2006 .

[21]  Hannu Tervo,et al.  Cities, hinterlands and agglomeration shadows: Spatial developments in Finland during 1880–2004 , 2010 .

[22]  Duncan Black,et al.  Urban evolution in the USA , 2003 .

[23]  Raphael Thomadsen,et al.  Product Positioning and Competition: The Role of Location in the Fast Food Industry , 2007 .

[24]  Karen C. Seto,et al.  Evolving rank-size distributions of intra-metropolitan urban clusters in South China , 2009, Comput. Environ. Urban Syst..

[25]  Samir Saadi,et al.  Does Information Asymmetry Matter to Equity Pricing? Evidence from Firms’ Geographic Location , 2010 .

[26]  P. Krugman.  On the number and location of cities , 1993 .

[27]  P. Krugman,et al.  First Nature, Second Nature, and Metropolitan Location , 1991 .

[28]  Ulrich Kaiser.  Measuring knowledge spillovers in manufacturing and services: an empirical assessment of alternative approaches , 2002 .

[29]  Kening Wu,et al.  Manufacturing industry agglomeration and spatial clustering: Evidence from Hebei Province, China , 2019, Environment, Development and Sustainability.

[30]  Ellen H.M. Moors,et al.  Beyond Regional Clusters: On the Importance of Geographical Proximity for R&D Collaborations in a Global Economy—the Case of the Flemish Biotech Sector , 2012 .

[31]  Ke Li,et al.  The nonlinear impacts of industrial structure on China's energy intensity , 2014 .

[32]  M. Burger,et al.  Stretching the concept of ‘borrowed size’ , 2017 .

[33]  Kamar Ali,et al.  Do New Economic Geography agglomeration shadows underlie current population dynamics across the urban hierarchy , 2009 .