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DING Wenli, YANG Yujing, YANG Xin. China-ASEAN Financial Cooperation Network: Structure, Evolution and Influencing Factors[J]. Journal of South China normal University (Social Science Edition), 2024, (6): 125-140.
Citation: DING Wenli, YANG Yujing, YANG Xin. China-ASEAN Financial Cooperation Network: Structure, Evolution and Influencing Factors[J]. Journal of South China normal University (Social Science Edition), 2024, (6): 125-140.

China-ASEAN Financial Cooperation Network: Structure, Evolution and Influencing Factors

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  • Received Date: June 23, 2024
  • Based on the 2000-2022 GDELT mass media data, this paper constructed the financial cooperation network of China-ASEAN and analyzed its structure, evolution characteristics, and influencing factors. The results indicate that: 1) The network has been influenced by macro-environmental changes such as the Asian financial crisis, the global financial crisis, and the rise of anti-globalization trends. It shows an evolution from a continuous rise to a fluctuating downward trend, reflecting "slow growth", "active integration", and "gradual adjustment" stages. 2) The China-ASEAN financial cooperation network exhibits internal imbalance, geographical priority proximity, and has a pyramid hierarchical distribution. Overall, the China-ASEAN financial cooperation network has become increasingly close with a more obvious small-world character. At the local level, internal groups have narrowed gradually. At the individual level, the importance of each country has risen. Particularly, China, Thailand, Vietnam, and Malaysia dominate the network and act as "bridges". 3) Financial development distance, degree of trade, economic proximity, institutional distance, marketization distance, language proximity, religious proximity, geographical proximity, informatization, transportation development, and digital economy distance are important factors affecting China-ASEAN financial cooperation. However, economic proximity, financial development distance, and digital economy distance have stage effects on the China-ASEAN financial cooperation network.

  • [1]
    张彬, 胡晓珊. 改革开放以来中国对外区域金融合作的回顾与展望[J]. 亚太经济, 2018 (5): 115-122.
    [2]
    李宝庆, 孙尚伟. 中国对外区域金融合作模式探析——兼论深化中阿金融合作[J]. 世界经济与政治论坛, 2015(5): 158-172. doi: 10.3969/j.issn.1007-1369.2015.05.010
    [3]
    OCAMPO J A, TITELMAN D. Subregional financial cooperation: the South American experience[J]. Journal of Post Keynesian economics, 2009, 32(2): 249-268. doi: 10.2753/PKE0160-3477320208
    [4]
    JIANG X, LI S P, MAI Y. Study of multinational currency co-movement and exchange rate stability base on network game[J]. Finance research letters, 2022, 47: 102601. doi: 10.1016/j.frl.2021.102601
    [5]
    马艳, 王洁辰. "一带一路"金融合作对产业结构升级的影响研究[J]. 统计与信息论坛, 2021, 36 (11): 76-86. doi: 10.3969/j.issn.1007-3116.2021.11.007
    [6]
    WU S, PAN Q. Financial cooperative potential between China and Belt and Road countries[J]. Emerging markets finance and trade, 2019, 55(14): 3295-3310. doi: 10.1080/1540496X.2018.1509207
    [7]
    刘方, 丁文丽. 中国—东盟金融合作指数的构建及其演变特征[J]. 国际商务, 2020(1): 71-83.
    [8]
    ZHONG W, AN H, FANG W. Features and evolution of international fossil fuel trade network based on value of emergy[J]. Applied energy, 2016, 165(3): 868-877.
    [9]
    DU R, WANG Y, DONG G. A complex network perspective on interrelations and evolution features of international oil trade, 2002-2013[J]. Applied energy, 2017, 196(6): 142-151. http://smartsearch.nstl.gov.cn/paper_detail.html?id=ad87917d44dba6d201545479d55f19e0
    [10]
    计启迪, 陈伟, 刘卫东. 全球跨境并购网络结构及其演变特征[J]. 地理研究, 2020, 39(3): 527-538.
    [11]
    WÓJCIK D, KEENAN L, PAŽITKA V. The changing landscape of international financial centers in the twenty-first century: cross-border mergers and acquisitions in the global financial network[J]. Economic geography, 2022, 98(2): 97-118. doi: 10.1080/00130095.2021.2010535
    [12]
    张晓静. 中国周边FTA的网络构建及其启示[J]. 亚太经济, 2008(4): 20-24. doi: 10.3969/j.issn.1000-6052.2008.04.004
    [13]
    FAGIOLO G, REYES J, SCHIAVO S. The evolution of the world trade web: a weighted-network analysis[J]. Journal of evolutionary economics, 2010, 20(7): 479-514.
    [14]
    黄晓东, 杜德斌, 刘承良. 全球跨境并购网络的空间格局演化及形成机制[J]. 地理学报, 2021, 76 (10): 2536-2550. doi: 10.11821/dlxb202110014
    [15]
    HASBROUCK J, LEVICH R M. Network structure and pricing in the FX market[J]. Journal of financial economics, 2021, 141(2): 705-729. doi: 10.1016/j.jfineco.2021.04.013
    [16]
    苏治, 王壮, 吴优. 美元互换网络的发展历程及其有效性分析——基于COVID-19期间美元融资成本的视角[J]. 亚太经济, 2023(1): 41-50.
    [17]
    任会明, 叶明确, 余运江. 中国三大城市群金融网络空间结构与演化特征[J]. 经济地理, 2021, 41 (12): 63-73.
    [18]
    张杰, 盛科荣, 王传阳. 中国城市间金融网络的空间演化及其影响因素[J]. 热带地理, 2022, 42 (6): 928-938.
    [19]
    LIN Z, ZHAN W, CHEUNG Y W. China's bilateral currency swap lines[J]. China & world economy, 2016, 24(6): 19-42.
    [20]
    LIU T, WANG X, WOO W T. The rise of renminbi in Asia: evidence from network analysis and swift dataset[J]. Journal of Asian economics, 2022, 78: 101431. doi: 10.1016/j.asieco.2021.101431
    [21]
    PAN F, BI W, LENZER J. Mapping urban networks through inter-firm service relationships: the case of China[J]. Urban studies, 2017, 54(16): 3639-3654. doi: 10.1177/0042098016685511
    [22]
    王文. "一带一路"金融合作十年回望[J]. 中国金融, 2023 (13): 29-31.
    [23]
    肖翔, 姜钰羡, 程钺. "一带一路"建设金融合作的现状与优化策略研究[J]. 海南金融, 2019(1): 4-16.
    [24]
    张茉楠. 加快构建"一带一路"亚欧金融合作网络[J]. 金融与经济, 2016(4): 1.
    [25]
    宋国友. 中国与周边国家经济关系及政策选择[J]. 国际问题研究, 2013(3): 33-43.
    [26]
    王宏禹. 新地区主义视野下的东亚金融合作: 根本问题及中国方案[J]. 深圳大学学报(人文社会科学版), 2018, 35 (3): 71-81.
    [27]
    魏玲. 关系平衡、东盟中心与地区秩序演进[J]. 世界经济与政治, 2017(7): 38-64.
    [28]
    云倩. "一带一路"倡议下中国—东盟金融合作的路径探析[J]. 亚太经济, 2019 (5): 32-40.
    [29]
    周进. 共建"一带一路": 发展历程、主要成果与重要经验[J]. 当代中国史研究, 2023, 30 (3): 4-20.
    [30]
    陈小强, 袁丽华, 沈石, 等. 中国及其周边国家间地缘关系解析[J]. 地理学报, 2019, 74 (8): 1534-1547.
    [31]
    GRIMM E C. Coniss: a fortran 77 program for stratigraphically constrained cluster analysis by the method of incremental sum of squares[J]. Computers & geosciences, 1987, 13(1): 13-35. http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=76F344FA8BDA36481B8E8AB97AADCD1D?doi=10.1.1.452.8960&rep=rep1&type=pdf
    [32]
    WHITE H C, BOORMAN S A, BREIGER R L. Social structure from multiple networks Ⅰ: block models of roles and positions[J]. American journal of sociology, 1976, 81(4): 730-780.
    [33]
    闫云凤, 李雪梦. 跨国公司投资碳转移的演化及影响因素——基于社会网络分析方法[J]. 国际经贸探索, 2023, 39 (11): 83-98.
    [34]
    刘军. 整体网分析——UCINET软件使用指南(第三版)[M]. 上海: 格致出版社, 2019: 373-376.
    [35]
    何建军, 毛文莉, 潘红玉. 中国—东盟金融合作与区域创新发展[J]. 财经理论与实践, 2022, 43(2): 17-23.
    [36]
    ZHANG X. Political relations and the Belt and Road financial cooperation[J]. Applied eeconomics, 2023(10): 1-16. http://d.wanfangdata.com.cn/periodical/xdgjgx-e202304006
    [37]
    丁文丽, 胡小丽, 李富昌. 中国与老缅越柬金融合作指数的构建及对策建议研究——基于国家异质性视角[J]. 云南财经大学学报, 2024, 40(3): 52-62.
    [38]
    杜婕, 乔琳, 花秋玲. 国际金融合作与经济增长——基于中国-东盟国家经验的实证研究[J]. 学术交流, 2022(9): 103-119.
    [39]
    黄祥钟, 黄叶苨, 林如慧. 中国与"一带一路"国家金融合作程度及其影响因素研究[J]. 数理统计与管理, 2022, 41 (6): 1056-1068.
    [40]
    郑筱筠. 关于中国—东盟命运共同体建设过程中的宗教因素之思考[J]. 世界宗教研究, 2021 (2): 1-8.
    [41]
    PAN X, ZHANG J. Language similarity and M&A transactions[J]. European accounting review, 2022(9): 1-30.
    [42]
    ASONGU S A, MOULIN B. The role of ICT in reducing information asymmetry for financial access[J]. Research in international business and finance, 2016, 38(9): 202-213. http://mpra.ub.uni-muenchen.de/73090/1/MPRA_paper_73090.pdf
    [43]
    王梓利, 林晓言. 交通基础设施如何促进区域金融发展——基于广义运输成本传导机制的检验[J]. 江西财经大学学报, 2021(1): 43-54.
    [44]
    KOGUT B, SINGH H. The effect of national culture on the choice of entry mode[J]. Journal of international business studies, 1988, 19(3): 411-432.

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