Spatial Spillover Effects and Regional Collaboration Expansion Paths in East Asian Urban Agglomerations

Author

Yaxuan Wang * 1

1 Taylor University

Corresponding Author

Yaxuan Wang

Keywords

Urban clusters, Spatial spillover effect, Regional coordinated development, Spatial Durbin model, Network externality

Abstract

In the context of globalization and regional economic integration, urban agglomerations have become key spatial units driving economic growth in East Asia. This paper investigates the spatial spillover effects and coordinated development paths of East Asian urban agglomerations. This study constructs an evaluation index system based on economic resilience, transportation hubs, and the digital economy, and then applies the Spatial Durbin Model (SDM) to conduct an in-depth empirical analysis on panel data from major East Asian urban agglomerations. The findings reveal a significant positive spatial autocorrelation in the economic development of East Asian urban agglomerations,while the spillover effects of the digital economy and transportation infrastructure far exceed their local direct effects. However, the homogeneity of traditional industries at a specific development stage has triggered a significant "siphon effect," widening regional development disparities. Based on these findings, this paper proposes an optimization path for regional coordinated development by reshaping a multi-centered networked spatial structure and strengthening the dual-track coordination between digital and green development. Thus, this study offers solid empirical evidence to help policymakers formulate scientific spatial planning, overcome regional administrative barriers, and achieve inclusive and sustainable economic growth across East Asia.

Citation

Yaxuan Wang. Spatial Spillover Effects and Regional Collaboration Expansion Paths in East Asian Urban Agglomerations. AEMPS (2026) Vol. 284: 212-217. DOI: 10.54254/2754-1169/2026.GT35385.

References

[1]: Liang, W., Wang, D., Gao, L., et al. (2025). Study on the impact of China's urban agglomerations' tiered spatial structure on regional economic resilience.PLoS One, 20(3), e0314538.

[2]: United Nations, Department of Economic and Social Affairs, Population Division. (2019).World urbanization prospects: The 2018 revision (ST/ESA/SER.A/420). United Nations.

[3]: Liu, C., Peng, M. Y. P., & Gong, W. (2022). Spatial spillover effects promote the overall improvement of urban competitiveness: Evidence of SDM in Asian cities.Frontiers in Environmental Science, 10, 779596.

[4]: Watanabe, T., & Mu, D. (2025). The pandemic and the city: Empirical evidence of lifestyle and location preference changes in Japan.Sustainability, 17(21), 9555.

[5]: Kim, L., & Seo, W. (2021). Micro-analysis of price spillover effect among regional housing submarkets in Korea: Evidence from the Seoul metropolitan area.Land, 10(8), 879.

[6]: Hou, J., Shi, J., Chen, L., et al. (2024). Exploring the spatial spillover effects of Yangtze River Delta ports on urban economic growth.PLoS One, 19(8), e0307770.

[7]: Du, C., & Wang, C. (2024). Digitization and carbon emissions: How does the development of China's digital economy affect carbon intensity?Environmental Science and Pollution Research, 31(18), 26895–26915.

[8]: Wang, X., Nan, T., Liu, F., et al. (2024). Analysis of the spatiotemporal evolution characteristics and policy factors of eco-innovation efficiency in Chinese urban agglomerations.Ecological Indicators, 163, 112106.

[9]: Liu, X., Luo, P., Rijal, M., et al. (2024). Spatial spillover effects of urban agglomeration on road network with industrial co-agglomeration.Land, 13(12), 2097.

[10]: Chen, A., & Groenewold, N. (2020). Regional inequality in China: An overview. InHandbook on Urban Development in China, 143–158.

[11]: Cong, X., Liu, B., Wang, L., et al. (2024). Exploration of multiple enhancing pathways of digital economy development of city clusters using fuzzy-set qualitative comparative analysis.Technological and Economic Development of Economy, 30(6), 1769–1804.

[12]: Liu, J., & Shi, Z. (2026). The impact of data element agglomeration on inclusive green development: Evidence from threshold and spatial spillover effects.Sustainability, 18(6), 2973.

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