Spatial Network Structure and Effects of Innovation Factor Flows in the Yangtze River Delta Urban Agglomeration

Authors

  • Haoran Chen School of Economics, Nanjing University, Nanjing 210093, China Author
  • Xinyi Gu School of Public Affairs, Zhejiang University, Hangzhou 310058, China Author

Keywords:

Yangtze River Delta, innovation network, factor flows, urban agglomeration, regional development

Abstract

Innovation in the Yangtze River Delta is increasingly organized through intercity flows of talent, capital, technology, data and institutional resources rather than through isolated local accumulation. This paper examines the spatial network structure of these innovation factor flows and discusses their developmental effects across the urban agglomeration. Drawing on economic geography, network theory and Chinese regional integration studies, the paper argues that the Yangtze River Delta has evolved toward a polycentric but hierarchically differentiated innovation system centered on Shanghai, Hangzhou, Nanjing, Suzhou and several strong intermediate cities. Different factors display distinct mobility logics: venture capital and platform resources are more concentrated in leading nodes, while knowledge exchange, manufacturing collaboration and applied innovation can diffuse through specialized industrial chains. The developmental effect of the network is therefore contingent, not automatic. It depends on absorptive capacity, institutional compatibility, transport and digital infrastructure, and the strategic positioning of intermediate cities. The study concludes that deeper regional innovation integration requires not only stronger metropolitan cores but also governance mechanisms that reduce friction, widen participation and transform intercity linkage into durable innovation capability.

References

1. Marshall, A. (1890). Principles of Economics. Macmillan.

2. Castells, M. (1996). The Rise of the Network Society. Blackwell.

3. Meng, L., Zhang, B., & Cao, L. (2026b). Establishing linear cultural heritage corridors by integrating cultural and ecological values: A case study of the Jinzhong section of the Great Tea Road. Land, 15(2), 293. https://doi.org/10.3390/land15020293

4. Boschma, R. (2005). Proximity and innovation: A critical assessment. Regional Studies, 39(1), 61-74.

5. Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360-1380.

6. Meng, L., Jia, Z., Hu, X., Zhang, B., & Cao, L. (2026a). Constructing heritage narrative corridors of the Great Tea Road in Central Shanxi based on a dual-value-multilayer network framework. npj Heritage Science, 14, 420. https://doi.org/10.1038/s40494-026-02646-w

7. Jacobs, J. (1969). The Economy of Cities. Random House.

8. Frenken, K., Van Oort, F., & Verburg, T. (2007). Related variety, unrelated variety and regional economic growth. Regional Studies, 41(5), 685-697.

9. Meng, L., Du, Z., Jia, Z., & Cao, L. (2025). Spatial mechanisms and coupling coordination of cultural heritage and tourism along the Jinzhong segment of the Great Tea Road. Heritage, 9(1), 7. https://doi.org/10.3390/heritage9010007

10. Asheim, B. T., Smith, H. L., & Oughton, C. (2011). Regional innovation systems: theory, empirics and policy. Regional Studies, 45(7), 875-891.

11. 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.

Downloads

Published

2026-08-12

Issue

Section

Articles