Abstract
Globalization and informatization promote the evolution of urban spatial organization from a hierarchical structure mode to a network structure mode, forming a complex network system. This study considers the coupling of “space of flows” and “spaces of places” as the core and “embeddedness” as the link and a relevant theoretical basis; then we construct a conceptual model of urban networks and explore the internal logic of enterprise networks and city networks. Using the interlocking-affiliate network model and data from China’s top 500 listed companies, this study constructs a directed multi-valued relational matrix between cities in western China from 2005 to 2015. Using social network analysis and the multiple regression of quadratic assignment program model (MRQAP), this study adopts a “top-down” research perspective to analyze the spatio-temporal evolution and growth mechanism of the city network in western China from three nested spatial scales: large regions, intercity agglomerations, and intracity agglomerations. The results show the following: (1) Under the large regional scale, the city network has good symmetry, obvious characteristics of hierarchical diffusion, neighborhood diffusion, and cross-administrative regional connection, presenting the “core-periphery” structural pattern. (2) The network of intercity agglomerations has the characteristics of centralization, stratification, and geographical proximity. (3) The internal network of each urban agglomeration presents a variety of network structure modes, such as dual-core, single-core, and multicore modes. (4) Administrative subordination and economic system proximity have a significant positive impact on the city network in western China. The differences in internet convenience, investment in science and technology, average time distance, and economic development have negative effects on the growth and development of city networks. (5) The preferential attachment is the internal driving force of the city network development.
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References
Akhavan M, Ghiara H, Mariotti I et al., 2020. Logistics global network connectivity and its determinants. A European city network analysis. Journal of Transport Geography, 82: 102624.
Alderson A S, Beckfield J, 2004. Power and position in the world city system. American Journal of Sociology, 109(4): 811–851.
Ashkezari-Toussi S, Kamel M, Sadoghi-Yazdi H, 2019. Emotional maps based on social networks data to analyze cities emotional structure and measure their emotional similarity. Cities, 86: 113–124.
Berry B J L, 1964. Cities as systems within systems of cities. Papers in Regional Science, 13(1): 147–163.
Broekel T, Balland P A, Burger M et al., 2014. Modeling knowledge networks in economic geography: A discussion of four methods. The Annals of Regional Science, 53(2): 423–452.
Cao G, Derudder B, Peng Z W, 2018. Comparing the physical, functional and knowledge integration of the Yangtze River Delta city-region through the lens of inter-city networks. Cities, 82: 119–126.
Castells M, 1996. The Rise of the Network Society. Cambridge, MA: Blackwell.
Castells M, 2007. Centrality in the space of flows. Built Environment, 33(4): 482–485.
Cervero R, Wu K L, 1998. Sub-centring and commuting: Evidence from the San Francisco Bay Area, 1980–90. Urban Studies, 35(7): 1059–1076.
Chong Z, Pan S, 2020. Understanding the structure and determinants of city network through intra-firm service relationships: The case of Guangdong-Hong Kong-Macao Greater Bay Area. Cities, 103: 102738.
Coe N M, Hess M, Yeung H W C et al., 2004. ‘Globalizing’ regional development: A global production networks perspective. Transactions of the Institute of British Geographers, 29(4): 468–484.
Defever F, 2006. Functional fragmentation and the location of multinational firms in the enlarged Europe. Regional Science and Urban Economics, 36(5): 658–677.
Derudder B, 2006. On conceptual confusion in empirical analyses of a transnational urban network. Urban Studies, 43(11): 2027–2046.
Derudder B, Witlox F, 2005. On the use of inadequate airline data in mappings of a global urban system. Journal of Air Transport Management, 11(4): 231–237.
Duan D Z, Du D B, Chen Y et al., 2018. Spatial-temporal complexity and growth mechanism of city innovation network in China. Scientia Geographica Sinica, 38(11): 1759–1768. (in Chinese)
Fang C L, 2015. Important progress and future direction of studies on China’s urban agglomerations. Journal of Geographical Sciences, 25(8): 1003–1024.
Fang C L, 2019. The basic law of the formation and expansion in urban agglomerations. Journal of Geographical Sciences, 29(10): 1699–1712.
Harvey D, 1990. Between space and time: Reflections on the geographical imagination. Annals of the Association of American Geographers, 80(3): 418–434.
Hu X Q, Wang C, Wu J J et al., 2020. Understanding interurban networks from a multiplexity perspective. Cities, 99: 102625.
Kang J J, Xu W, Yu L, Ning Y M, 2020. Localization, urbanization and globalization: Dynamic manufacturing specialization in the YRD mega-city conglomeration. Cities, 99: 102641.
Kelly P F, 1999. The geographies and politics of globalization. Progress in Human Geography, 23(3): 379–400.
Leng B R, Yang Y C, Li Y J et al., 2011. Spatial characteristics and complex analysis: A perspective from basic activities of urban networks in China. Acta Geographica Sinica, 66(2): 199–211. (in Chinese)
Li D D, Wang T, Wei Y H et al., 2015. Spatial and temporal complexity of scientific knowledge network and technological knowledge network on China’s urban scale. Geographical Research, 34(10): 525–540. (in Chinese)
Li J, Dong S C, Huang Y B et al., 2014. Multi-scale spatial structure analysis of urban network based on local IT enterprise network in China. Geography and Geo-Information Science, 30(1): 110–115. (in Chinese)
Li X D, 2012. Research of urban network based on firm network [D]. Shanghai: East China Normal University. (in Chinese)
Li X D, 2014. Spatial structure of the Yangtze River Delta urban network based on the pattern of listed companies network. Progress in Geography, 33(12): 1587–1600. (in Chinese)
Li X D, 2015. Structure and Evolution of Urban Network. Beijing: Science and Technology Press. (in Chinese)
Li Y, Monzur T, 2018. The spatial structure of employment in the metropolitan region of Tokyo: A scale-view. Urban Geography, 39(2): 236–262.
Li Y C, 2019. A preliminary analysis on urban innovation network of metropolitan region and its characteristics. Planning Studies, 43(6): 27–33, 39. (in Chinese)
Liu J, 2009. Lecture on Whole Network Approach: A Practical Guide to UCINET. Shanghai: Truth and Wisdom Press. (in Chinese)
Liu X, Derudder B, 2013. Analyzing urban networks through the lens of corporate networks: A critical review. Cities, 31: 430–437.
Liu X, Derudder B, Wu K, 2016. Measuring polycentric urban development in China: An intercity transportation network perspective. Regional Studies, 50(8): 1302–1315.
Ma H T, Fang C L, 2011. Spatial organization of production networks in city-region based on enterprises relationship: A case of apparel production in urban agglomeration of eastern Guangdong Province. Scientia Geographica Sinica, 31(10): 1172–1180. (in Chinese)
Matthiessen C W, Schwarz A W, Find S, 2010. World cities of scientific knowledge: systems, networks and potential dynamics. an analysis based on bibliometric indicators. Urban Studies, 47(9): 1879–1897.
Pan F H, Bi W K, Lenzer J, Zhao S, 2017. Mapping urban networks through inter-firm service relationships: The case of China. Urban Studies, 54 (12): 3639–3654.
Ren Y, Chen X M, 2009. The Ere of Global City-regions. Shanghai, China: Shanghai Fudan University Press. (in Chinese)
Rozenblat C, 2010. Opening the black box of agglomeration economies for measuring cities’ competitiveness through international firm networks. Urban Studies, 47(13): 2841–2865.
Sheng K R, Wang Y J, Fan J, 2019. Dynamics and mechanisms of the spatial structure of urban network in China: A study based on the corporate networks of top 500 public companies. Economic Geography, 39(11): 84–93. (in Chinese)
Sheng K R, Zhang H X, Lv D D, 2018. Progress and prospect of urban networks research through the lens of corporate networks. Human Geography, 33(2): 11–18. (in Chinese)
Sheng K R, Zhang J, Zhang H X, 2020. Network embedding and urban economic growth in China: A study based on the corporate networks of top 500 public companies. Acta Geographica Sinica, 75(10): 1–17. (in Chinese)
Smith M P, 2000. Transnational Urbanism: Locating Globalization. Malden, MA: Wiley-Blackwell.
Song Q, Zhao X Z, Li T S et al., 2018. Spatial structures and influencing factors of multiple urban networks based on the perspective of directed-multivalued relation. Progress in Geography, 37(9): 1257–1267. (in Chinese)
Sun T, Lv Y Q, 2020. Employment centers and polycentric spatial development in Chinese cities: A multi-scale analysis. Cities, 99: 102617.
Sun Z W, Lu Z, He J L, 2009. Research on spatial pattern and organization mechanism of international internet information flows. Human Geography, 24(4): 43–49. (in Chinese)
Taylor P J, 1982. A materialist framework for political geography. Transactions of the Institute of British Geographers, 7(1): 15–34.
Taylor P J, 2001. Urban hinterworlds: Geographies of corporate service provision under conditions of contemporary globalisation. Geography, 86(1): 51–60.
Taylor P J, 2005. Leading world cities: Empirical evaluations of urban nodes in multiple networks. Urban Studies, 42(9): 1593–1608.
Taylor P J, Catalano G, Walker D R F, 2002. Measurement of the world city network. Urban Studies, 39(13): 2367–2376.
Wang L, Duan X, 2018. High-speed rail network development and winner and loser cities in megaregions: The case study of Yangtze River Delta, China. Cities, 83: 71–82.
Wei Y, Song W, Xiu C L et al., 2018. The rich-club phenomenon of China’s population flow network during the country’s spring festival. Applied Geography, 96: 77–85.
Xu J, Zhang M, Zhang X L et al., 2019. How does city-cluster high-speed rail facilitate regional integration? Evidence from the Shanghai-Nanjing corridor. Cities, 85: 83–97.
Yang L J, Yang Y C, Pan J H, 2019. Network structure evolution and the spatial-temporal pattern of China western cities participating in global and national competition. Economic Geography, 39(10): 43–53. (in Chinese)
Yeh A G O, Yang F F, Wang J J, 2015. Producer service linkages and city connectivity in the mega-city region of China: A case study of the Pearl River Delta. Urban Studies, 52(13): 2458–2482.
Yuan H L, Xin N, 2019. Global trade network pattern and influencing factors of advanced manufacturing in China. Economic geography, 39(6): 108–117. (in Chinese)
Zhao M X, Li Z F, Zhong Y et al., 2016. Polycentric network topology of urban agglomerations in China. Progress in Geography, 35(3): 376–388. (in Chinese)
Zhao X Z, Li Q P, Rui S et al., 2019. The characteristics of urban network of China: A study based on the Chinese companies in the fortune global 500 list. Acta Geographica Sinica, 74(4): 694–709. (in Chinese)
Zhen F, Wang B, Chen Y X, 2012. China’s city network characteristics based on social network space: An empirical analysis of Sina Micro-Blog. Acta Geographica Sinica, 67(8): 1031–1043. (in Chinese)
Zhou Z H, 2006. Logistic relation of globalization, global urban network and global cities. Journal of Social Sciences, (10): 17–26. (in Chinese)
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National Natural Science Foundation of China, No. 41501176, No. 41961030
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Yang Liangjie (1977–), PhD and Associate Professor, specialized in urban ecology and city networks research. E-mail: yangljmnx@163.com
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Yang, L., Wang, J. & Yang, Y. Spatial evolution and growth mechanism of urban networks in western China: A multi-scale perspective. J. Geogr. Sci. 32, 517–536 (2022). https://doi.org/10.1007/s11442-022-1959-8
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DOI: https://doi.org/10.1007/s11442-022-1959-8