Construction of a Digital Economy Development Model and Its Driving Effect on Regional Economic Growth: A Case Study of the Yangtze River Delta

Boqin Liu

doi:10.71222/vgeez334

Authors

Boqin Liu School of Law, Shanghai University of International Business and Economics, Shanghai, 201620, China Author

DOI:

https://doi.org/10.71222/vgeez334

Keywords:

digital economy, regional economic growth, Yangtze River Delta, knowledge graph, structural equation modeling, policy simulation

Abstract

The digital economy is reshaping regional development, yet measuring its complex impact remains difficult due to multidimensional digital factors and regional heterogeneity. This study proposes a modular, knowledge-driven framework to analyze how digital economic development affects regional growth, focusing on the Yangtze River Delta. A structured knowledge base integrating economic, infrastructure, platform-related, and policy data supports semantic reasoning across 40 cities. The system combines fuzzy clustering, SEM, and spillover simulation, incorporating a personalization module to account for differences among urban contexts. Empirical validation over 10 years reveals key digital drivers of regional GRP through productivity and innovation channels. The framework offers interpretable, scalable insights for policy and planning, with future work extending to real-time and national applications.

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