资源与产业 ›› 2024, Vol. 26 ›› Issue (5): 47-62.DOI: 10.13776/j.cnki.resourcesindustries.20240919.001

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FDI流动与碳排放耦合协调的空间关联网络——以“一带一路”国家为例

尤荻, 黄永,余昊臻, 杨成业   

  1. (云南大学 工商管理与旅游管理学院,云南 昆明 650091)

  • 收稿日期:2023-11-15 修回日期:2024-03-23 出版日期:2024-10-20 发布日期:2024-10-20
  • 通讯作者: 黄永,硕士生,主要从事社会网络分析及区域低碳发展研究。E-mail: hy_huangyong66@163.com
  • 作者简介:尤荻,博士生、副教授,主要从事跨境基础设施投资风险防控研究。E-mail: youdink@163.com
  • 基金资助:
    国家社科基金西部项目(23XGL033);云南省科技计划项目(201901BB050039);云南大学第二届专业研究生实践创新项目(ZC-22222993)。

A CASE STUDY ON “THE BELT AND ROAD” NATIONS: COUPLING & COORDINATED SPATIAL CORRELATION NETWORK BETWEEN FDI LIQUIDITY AND CARBON EMISSION

YOU Di, HUANG Yong, YU Haozhen, YANG Chengye   

  1. (School of Business Administration and Tourism Management, Yunnan University, Kunming 650091, China)

  • Received:2023-11-15 Revised:2024-03-23 Online:2024-10-20 Published:2024-10-20

摘要: 文章基于社会网络分析法和耦合协调模型,研究了“一带一路”沿线国家在2010—2016年间FDI流动网络和碳排放转移网络耦合协调的空间关联网络结构特征,结果表明:1)两网耦合协调空间关联网络在空间关联上具有良好的通达性,整体网络的稳定性较高;2)卡塔尔、阿联酋等国家处在网络的中心地位;3)根据空间关联网络的聚类板块特征,将沿线国家划分为4个板块,其中,板块I为净溢出板块、板块II和板块IV净受益板块,板块III为双向溢出板块。对此,各国应以实现低碳发展为出发点引入外国投资,充分把握好沿线国家两网耦合协调空间关联网络中板块的特征,根据各板块属性因地制宜施策,实现精准调控。


关键词: FDI流动, 碳排放转移, 社会网络分析, 耦合协调, 空间关联网络结构

Abstract: This paper uses social network analysis and coupling coordination model to study the structural features of coupling & coordinated spatial correlation network between FDI liquidity network and carbon emission transfer network in “the Belt and Road” nations during 2010 to 2016. Results show that the two networks are Results show that these two networks are of good communication in spatial correlation and a higherstability. Qatar and the United Arab Emirates are positioning at the center of networks. “The Belt and Road” nations can be divided into 4 divisions according to their clustering features in spatial correlation network, Division I is net overflow, Division II and IV are net beneficial, and Division III is bi-directional overflow. This paper presents suggestions for “the Belt and Road” nations on attracting FDI based on low carbon economy, fulfilling division features to make appropriate policies in order to reach a fine control.

Key words: FDI liquidity, carbo emission transfer, social network analysis, coupling coordination, spatial correlation network structure

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