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### 城市群经济网络与经济增长——基于大数据与网络分析方法的研究

• 出版日期:2018-01-25 发布日期:2018-01-25

### Economic Networks and Economic Growth of Urban Agglomeration: An Integrated Approach of Big Data and Network Analysis

Chong Zhaohui Qin Chenglin Ye Xinyue

• Online:2018-01-25 Published:2018-01-25

Abstract: With the vast amounts of data obtained under the age of Big Data, this paper analyses the economic network character of the Yangtze River Delta, and focuses on the growth effect of economic networks. Firstly, we construct the population migration network, enterprise organization network and E-commerce network, and compare their network characters. Secondly, combining the network analysis method and spatial econometric model, using the extension of J test to choose two social network models that apply to different network structures, we investigate the impacts of the spillover effect caused by economic network on the economic growth of the urban agglomeration. Research shows that all the three kinds of economic network of Yangtze River Delta have "center - periphery" structures, and Shanghai, Hangzhou, Suzhou, Nanjing, Wuxi locate at the core circle of the three networks. Regression results show that, center cities play an important role in the spillover effect under economic networks. Specifically, capital factor and local government have a negative spillover effect in the population flow network; for the enterprise organization network, population and openness have a positive spillover effect; for the E-commerce network, local government shows a negative spillover effect and openness shows a positive spillover effect.