The spatial correlation network of capital flows in China: Evidence from China's High-Value Payment System
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DOI: 10.1016/j.chieco.2018.04.005
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- Wang, Zhenshuang & Xie, Wanchen & Zhang, Chengyi, 2023. "Towards COP26 targets: Characteristics and influencing factors of spatial correlation network structure on U.S. carbon emission," Resources Policy, Elsevier, vol. 81(C).
- 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.
- 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).
- Feng, Xinhui & Lin, Xinle & Li, Yan & Yang, Jiayu & Yu, Er & Lei, Kaige, 2024. "Spatial association network of carbon emission performance: Formation mechanism and structural characteristics," Socio-Economic Planning Sciences, Elsevier, vol. 91(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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