Research on the Multidimensional Network Spatial Structure and Correlation Effect of Urban Agglomerations : Analysis of China's Five Major Urban Agglomerations

Authors

  • Tingying Peng Nanchang Normal University
  • Xiaoyue Huang Macau University of Science and Technology

DOI:

https://doi.org/10.62177/apemr.v3i3.1454

Keywords:

Urban Agglomeration, Multidimensional Connection Network, Spatial Structure, Economic Connection, QAP Regression

Abstract

Because the flow of regional factors tends to be more diverse and complicated, strengthening research on the counterpoint network of urban agglomerations is highly important for promoting the high-quality development of urban agglomerations. Using the theory of regional growth, a theoretical framework of multidimensional network spatial connections among urban agglomerations is constructed. This paper analyzes the multidimensional network spatial structure and correlation effect of urban agglomerations in China. The results demonstrate that (1) the multidimensional network of urban agglomerations presents significant spatial differences in terms of a "point–line network". (2) The networks present a multithreaded, multicity, and cross-regional distribution pattern and exhibit "local area network" and "small world" characteristics. (3) The connections among commuting, capital, technology, and information have a significant positive effect on economic connections in urban agglomerations. Moreover, the Beijing‒Tianjin‒Hebei region and the middle reaches of the Yangtze River rely more on technology, the Yangtze River Delta relies more on commuting, and the Pearl River Delta and Chengdu‒Chongqing rely more on information.

Downloads

Download data is not yet available.

References

Aghion, P., & Howitt, P. (1998). Endogenous growth theory. The MIT Press.

Audretsch, D. B., & Feldman, M. P. (1996). R&D spillovers and the geography of innovation and production. American Economic Review, 86, 630–640.

Barro, R., & Sala-i-Martin, X. (1992). Regional growth and migration: A Japan-United States comparison. Journal of the Japanese and International Economies, 6(b), 312–346. DOI: https://doi.org/10.1016/0889-1583(92)90002-L

Bathelt, H., & Glückler, J. (2003). Toward a relational economic geography. Journal of Economic Geography, 3(2), 117–144. https://doi.org/10.1093/jeg/3.2.117 DOI: https://doi.org/10.1093/jeg/3.2.117

Bathelt, H., Malmberg, A., & Maskell, P. (2004). Clusters and knowledge: Local buzz, global pipelines and the process of knowledge creation. Progress in Human Geography, 28(1), 31–56. DOI: https://doi.org/10.1191/0309132504ph469oa

Beckman, C. M., Eisenhardt, K., & Kotha, S. (2012). The role of the entrepreneur in technology entrepreneurship. Strategic Entrepreneurship Journal, 6(3), 203–206. DOI: https://doi.org/10.1002/sej.1136

Bing, X., Xiao, X., & Jing, Z. (2020). Identification method and empirical study of urban industrial spatial relationship based on POI big data: A case of Shenyang City, China. Geography and Sustainability, 1(2), 152–162. DOI: https://doi.org/10.1016/j.geosus.2020.06.003

Brown, E., Derudder, B., & Parnreiter, C. (2010). World city networks and global commodity chains: Towards a world-systems integration. Global Networks, 10(1), 12–34. DOI: https://doi.org/10.1111/j.1471-0374.2010.00272.x

Burger, M. J., van der Knaap, B., & Wall, R. S. (2013). Polycentricity and the multiplexity of urban networks. European Planning Studies, 22(4), 816–840. DOI: https://doi.org/10.1080/09654313.2013.771619

Camagni, R., & Salone, C. (1993). Network urban structures in Northern Italy: Elements for a theoretical framework. Urban Studies, 30(6), 1053–1064. DOI: https://doi.org/10.1080/00420989320080941

Cao, W., Du, D., & Xia, Q. (2023). Unbalanced global vaccine product trade pattern: A network perspective. Social Science & Medicine, 325, 115913. DOI: https://doi.org/10.1016/j.socscimed.2023.115913

Castells, M. (1996). The rise of network society. Blackwell.

Davoudi, S. (2008). Conceptions of the city-region: A critical review. Urban Design and Planning, 16(2), 51–60. DOI: https://doi.org/10.1680/udap.2008.161.2.51

Derudder, B., Taylor, P. J., & Ni, P. (2010). Pathways of change: Shifting connectivities in the world city network. Urban Studies, 47(9), 1861–1877. DOI: https://doi.org/10.1177/0042098010372682

Ducruet, C., & Beauguitte, L. (2014). Spatial science and network science: Review and outcomes of a complex relationship. Networks and Spatial Economics, 14(3–4), 297–316. DOI: https://doi.org/10.1007/s11067-013-9222-6

Gui, Q. C., Liu, C. L., & Du, D. B. (2019). Globalization of science and international scientific collaboration: A network perspective. Geoforum, 105, 1–12. DOI: https://doi.org/10.1016/j.geoforum.2019.06.017

He, C. F., Wei, Y. H. D., & Xie, X. Z. (2008). Globalization, institutional change, and industrial location: Economic transition and industrial concentration in China. Regional Studies, 42(7), 923–945. https://doi.org/10.1080/00343400701543272 DOI: https://doi.org/10.1080/00343400701543272

Hu, X., Wang, C., Wu, J., & Stanley, H. E. (2020). Understanding interurban networks from a multiplexity perspective. Cities, 99, 102625. DOI: https://doi.org/10.1016/j.cities.2020.102625

Huber, F. (2012). Do clusters really matter for innovation practices in Information Technology? Questioning the significance of technological knowledge spillovers. Journal of Economic Geography, 12, 107–126. DOI: https://doi.org/10.1093/jeg/lbq058

Huggins, R., & Prokop, D. (2017). Network structure and regional innovation: A study of university-industry ties. Urban Studies, 54(4), 931–952. DOI: https://doi.org/10.1177/0042098016630521

Huggins, R., & Thompson, P. (2013). A network-based view of regional growth. Journal of Economic Geography, 14(3), 511–545. DOI: https://doi.org/10.1093/jeg/lbt012

Huggins, R., & Johnston, A. (2010). Knowledge flow and inter-firm networks: The influence of network resources, spatial proximity, and firm size. Entrepreneurship and Regional Development, 22, 457–484. DOI: https://doi.org/10.1080/08985620903171350

Jacobs, W., Koster, H., & Hall, P. (2011). The location and global network structure of maritime advanced producer services. Urban Studies, 48(13), 2749–2769. DOI: https://doi.org/10.1177/0042098010391294

Jiao, J. J., Zhang, Q. L., & Wu, Y. Y. (2021). Change and influencing factors of China's cross-regional investment network structure. Progress in Geography, 40(8), 1257–1268. DOI: https://doi.org/10.18306/dlkxjz.2021.08.001

Jung, W. S., Wang, F., & Stanley, H. E. (2008). Gravity model in the Korean highway. EPL, 81(4), 48005. DOI: https://doi.org/10.1209/0295-5075/81/48005

Justin, Y. L., Wang, G. W., & Zhao, Y. H. (2004). Regional inequality and labor transfers in China. Economic Development and Cultural Change, 52(3), 587–603. DOI: https://doi.org/10.1086/421481

Kramera, J.-P., Marinelli, E., Iammarino, S., & Revilla Diez, J. (2011). Intangible assets as drivers of innovation: Empirical evidence on multinational enterprises in German and UK regional systems of innovation. Technovation, 31, 447–458. DOI: https://doi.org/10.1016/j.technovation.2011.06.005

Li, P. F. (2014). Global temporary networks of clusters: Structures and dynamics of trade fairs in Asian economies. Journal of Economic Geography, 5, 995–1021. DOI: https://doi.org/10.1093/jeg/lbu009

Liu, X., Derudder, B., & Garcia, C. G. (2013). Exploring the co-evolution of the geographies of air transport aviation and corporate networks. Journal of Transport Geography, 30(3), 26–36. DOI: https://doi.org/10.1016/j.jtrangeo.2013.02.002

Liu, Y., Kang, C. G., & Gao, S. (2012). Understanding intra-urban trip patterns from taxi trajectory data. Journal of Geographical Systems, 14(4), 463–483. DOI: https://doi.org/10.1007/s10109-012-0166-z

Lu, D. B., Xiao, W., Xu, G. Y., Ha, L., & Yang, D. Y. (2021). Spatiotemporal patterns and influencing factors of human migration networks in China during COVID-19. Geography and Sustainability, 2, 264–274. DOI: https://doi.org/10.1016/j.geosus.2021.10.001

Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22, 3–32. DOI: https://doi.org/10.1016/0304-3932(88)90168-7

Ma, H., Wei, Y., & Huang, X. (2023). The innovation networks shaped by large innovative enterprises in urban China. Journal of Geographical Sciences, 33, 599–617. DOI: https://doi.org/10.1007/s11442-022-2065-7

Malecki, E. J. (2002a). Hard and soft networks for urban competitiveness. Urban Studies, 39(5), 929–945. DOI: https://doi.org/10.1080/00420980220128381

Malecki, E. J. (2002b). The economic geography of the Internet's infrastructure. Economic Geography, 78(4), 399–424. DOI: https://doi.org/10.1111/j.1944-8287.2002.tb00193.x

Marshall, A. (1920). Principles of economics. Macmillan.

Peter, J., Taylor, M. H., & Verbruggen, R. (2010). External urban relational process: Introducing central flow theory to complement central place theory. Urban Studies, 47(13), 2803–2818. DOI: https://doi.org/10.1177/0042098010377367

Pflieger, G., & Rozenblat, C. (2010). Introduction. Urban networks and network theory: The city as the connector of multiple networks. Urban Studies, 47(13), 2723–2735.

Pflieger, G., & Rozenblat, C. (2010). Urban networks and network theory: The city as the connector of multiple networks. Urban Studies, 47(13), 2723–2735. DOI: https://doi.org/10.1177/0042098010377368

Qian, X. Y., & Sun, B. D. (2021). The spatial structures and organization patterns of China's city network based on inter-city startup investments. Geographical Research, 40(2), 419–430.

Romer, P. M. (1986). Increasing returns and long-run growth. Journal of Political Economy, 94(5), 1002–1037. DOI: https://doi.org/10.1086/261420

Storper, M., & Venables, A. J. (2004). Buzz: Face-to-face contact and the urban economy. Journal of Economic Geography, 4, 351–370. DOI: https://doi.org/10.1093/jnlecg/lbh027

Taylor, A. M., & Williamson, J. G. (2006). Convergence in the age of mass migration. European Review of Economic History, 1(1), 27–63. DOI: https://doi.org/10.1017/S1361491697000038

Tenkanen, H., Pereira, R., Arcaute, E., & Gonzalez, M. (2023). Advances in geospatial approaches to transport networks and sustainable mobility. Environment and Planning B: Urban Analytics and City Science, 50(8), 2009–2016. DOI: https://doi.org/10.1177/23998083231207768

Tirthankar, B., Arijit, D., & Paulo, P. (2023). Exploring the drivers of urban expansion in a medium-class urban agglomeration in India using the remote sensing techniques and geographically weighted models. Geography and Sustainability, 4(2), 150–160. DOI: https://doi.org/10.1016/j.geosus.2023.03.002

Xu, J., Yang, Y., Zhang, Y., & Man, S. (2024). ‘Partly’ globalized networks and driving mechanism in resource-based state-owned enterprises: A case study of J Group. Geography and Sustainability, 5(1), 77–88. DOI: https://doi.org/10.1016/j.geosus.2023.11.003

Xu, X., & Zhao, M. F. (2020). Data capital and economic growth path. Economic Research Journal, 55(10), 38–54.

Yang, H., Dijst, M., & Witte, P. (2019). Comparing passenger flow and time schedule data to analyze High-Speed Railways and urban networks in China. Urban Studies, 56(6), 1267–1287. DOI: https://doi.org/10.1177/0042098018761498

Yang, S., Li, Z., Zhou, J., Gao, Y., & Cui, X. (2024). Evolving patterns of agricultural production space in China: A network-based approach. Geography and Sustainability, 5(1), 121–134. DOI: https://doi.org/10.1016/j.geosus.2023.11.007

Yao, S. M., Zhu, Y. M., & Chen, Z. G. (2001). Urban agglomerations in China. University of Science and Technology of China Press.

Zhang, W. Y., Derudder, B., Wang, J. H., & Witlox, F. (2020). An analysis of the determinants of the multiplex urban networks in the Yangtze River Delta. Tijdschrift Voor Economische En Sociale Geografie, 111(2), 117–133. https://doi.org/10.1111/tesg.12361 DOI: https://doi.org/10.1111/tesg.12361

Zhang, Y., Zhang, A., & Wang, J. (2020). Exploring the roles of high-speed train, air and coach services in the spread of COVID-19 in China. Social Science Electronic Publishing. DOI: https://doi.org/10.2139/ssrn.3597265

Zhen, F., Qin, X., & Ye, X. (2019). Analyzing urban development patterns based on the flow analysis method. Cities, 86, 178–197. DOI: https://doi.org/10.1016/j.cities.2018.09.015

Zhen, F., Wang, X., & Yun, J. (2013). An empirical study on Chinese city network pattern based on producer services. Chinese Geographical Science. DOI: https://doi.org/10.1007/s11769-013-0595-8

Downloads

How to Cite

Peng, T., & Huang, X. (2026). Research on the Multidimensional Network Spatial Structure and Correlation Effect of Urban Agglomerations : Analysis of China’s Five Major Urban Agglomerations. Asia Pacific Economic and Management Review, 3(3). https://doi.org/10.62177/apemr.v3i3.1454

Issue

Section

Articles

DATE

Received: 2026-05-23
Accepted: 2026-05-26
Published: 2026-06-29