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The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System

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  • Qian, Xianhang
  • Wang, Ying
  • Zhang, Guangli

Abstract

Using data from China's High-Value Payment System, this paper directly and precisely measures interregional capital flows in China and analyzes their spatial correlation. Using social network analysis methods, this study finds a spatial correlation network between interregional capital flows. The closeness of the network is strong and has a high stability. Different provinces exhibit different positions in the network. Beijing, Jiangsu, Shandong, Shanghai, and Zhejiang are at the relative core, while Qinghai, Xinjiang, Guangxi, Anhui, and Tibet are at the periphery. According to a block model, the eastern provinces belong to a bidirectional spillover block, the middle provinces are in a primary beneficial block, and the western provinces are in a net beneficial block. Based on a quadratic assignment procedure regression analysis, the paper concludes that geographical distance and differences in provinces' fixed asset investments, foreign direct investments, and marketization levels are important factors that impact the spatial correlation of capital flows. The conclusions of this paper are significant for the formulation of a regional coordinated strategy in China.

Suggested Citation

  • Qian, Xianhang & Wang, Ying & Zhang, Guangli, 2018. "The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System," China Economic Review, Elsevier, vol. 50(C), pages 175-186.
    • Handle: RePEc:eee:chieco:v:50:y:2018:i:c:p:175-186
    DOI: 10.1016/j.chieco.2018.04.005
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    Cited by:

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    2. Shurui Jiang & Xue Tan & Yue Wang & Lei Shi & Rong Cheng & Zhong Ma & Genfa Lu, 2020. "Spatial Correlation of Industrial NO x Emission in China’s 2 + 26 Policy Region: Based on Social Network Analysis," Sustainability, MDPI, vol. 12(6), pages 1-17, March.
    3. Peng, Benhong & Wang, Yuanyuan & Wei, Guo, 2020. "Energy eco-efficiency: Is there any spatial correlation between different regions?," Energy Policy, Elsevier, vol. 140(C).
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    5. Luo, Gongli & Wang, Xiaotong, 2023. "Spatial association network structure of eco-efficiency and its influencing factors: Evidence from the Beijing-Tianjin-Hebei region in China," Ecological Modelling, Elsevier, vol. 475(C).

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    More about this item

    Keywords

    Capital flows; China; High-Value Payment System; Social network analysis; Spatial correlation network;
    All these keywords.

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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