区域经济与理论方法

“一带一路”沿线地区贸易网络韧性研究

展开
  • 1.中国科学院 地理科学与资源研究所/区域可持续发展分析与模拟实验室,中国 北京 100101;
    2.中国科学院大学 资源与环境学院,中国 北京 100049;
    3.华东师范大学 地理科学学院,中国 上海 200062
陈伟(1989—),男,副研究员,硕士生导师,研究方向为经济地理、城市与区域发展。E-mail:chenw@igsnrr.ac.cn
※刘志高(1974—),男,博士,副研究员,硕士生导师,研究方向为演化经济地理学。E-mail:liuzhigao@igsnrr.ac.cn

收稿日期: 2023-06-05

  修回日期: 2024-10-28

  网络出版日期: 2024-06-03

基金资助

第二次青藏高原综合科学考察研究项目(2019QZKK1007); 国家自然科学基金项目(42130508、42230406)

Resilience Evolution of the Trade Networks in Regions along the Belt and Road

Expand
  • 1. Institute of Geographic Sciences and Natural Resources Research & Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China;
    2. College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049,China;
    3. School of Geographic Sciences,East China Normal University,Shanghai 200062,China

Received date: 2023-06-05

  Revised date: 2024-10-28

  Online published: 2024-06-03

摘要

文章借鉴复杂网络理论内涵,综合运用多种网络分析方法,构建测度贸易网络韧性的分析框架,从节点韧性和结构韧性2个维度对“一带一路”沿线地区贸易网络韧性开展综合测度,探讨其演变过程、发展特征和趋向。研究发现:①“一带一路”沿线各国贸易联系日趋紧密,贸易网络密度不断提升,不均衡态势逐渐显现,贸易网络拓扑结构呈现由松散向紧密发展、由多极向单极演变的趋势;②“一带一路”沿线地区贸易网络节点韧性具有明显异质性,并处于动态演化中,逐渐形成以中国、俄罗斯、印度、土耳其等国家为强韧核心的贸易格局;③综合考虑连通性、抗毁性、恢复性和稳健性4个维度,随着时间演化,“一带一路”沿线地区贸易网络结构韧性有所提升,网络结构异质性不断增强。未来,需进一步强化沿线国家间经贸合作,提升贸易网络连通性和稳健性,促进“一带一路”沿线地区贸易畅通走向更高水平和更宽维度。

本文引用格式

陈伟, 王芯芮, 龙燕, 赵晞泉, 刘志高 . “一带一路”沿线地区贸易网络韧性研究[J]. 经济地理, 2024 , 44(1) : 22 -31 . DOI: 10.15957/j.cnki.jjdl.2024.01.003

Abstract

On the basis of complex network theory,this paper uses various network analysis methods to build an analytical framework for measuring the trade network resilience,and conducts a comprehensive measurement of the trade network resilience in regions along the Belt and Road from two dimensions of node resilience and structural resilience,and explores the evolution process and development trend. The conclusions are as follows: 1) The trade links are getting closer in countries(regions) along the Belt and Road,the trade network density is increasing,the unbalanced situation is gradually emerging,and the trade network topology is changing from loose to close,and from multipolar to unipolar. 2) The node resilience of the trade network has evident heterogeneity in countries(regions) along the Belt and Road and is in dynamic evolution,it gradually forms a trade pattern with China,Russia,India,Turkey,and other countries as the strong core. 3) Considering the four dimensions of connectivity,invulnerability,recovery and robustness,the structural resilience of the trade network has been improved in countries(regions) along the Belt and Road,and the network structure heterogeneity has been enhanced. Therefore,in the future,it is necessary to strengthen further the economic and trade cooperation among the countries(regions) along the Belt and Road, enhance the connectivity and robustness of the trade network,and promote the trade interconnectivity to a higher level and broader dimension.

参考文献

[1] 中国一带一路网. 已同中国签订共建“一带一路”合作文件的国家一览[EB/OL]. https://www.yidaiyilu.gov.cn/xwzx/roll/77298.htm,2023-03-07.
[2] Chen W,Zhang H,Tang Z,et al. Assessing the structural connectivity of international trade networks along the “Belt and Road”[J]. PloS ONE,2023,https://doi.org/10.1371/journal.pone.0282596.
[3] 吕越,尉亚宁,王强. 共建“一带一路”与全球贸易网络深化[J]. 中国人民大学学报,2023,37(1):131-144.
[4] 钮潇雨,陈伟,俞肇元. “一带一路”贸易网络连通性演化[J]. 地理科学进展,2023,42(6):1069-1081.
[5] 宋周莺,车姝韵,张薇. 我国与“一带一路”沿线国家贸易特征研究[J]. 中国科学院院刊,2017,32(4):363-369.
[6] 宋周莺,车姝韵,杨宇. “一带一路”贸易网络与全球贸易网络的拓扑关系[J]. 地理科学进展,2017,36(11):1340-1348.
[7] 杨文龙,杜德斌,马亚华,等. “一带一路”沿线国家贸易网络空间结构与邻近性[J]. 地理研究,2018,37(11):2218-2235.
[8] 刘志高,王涛,陈伟. 中国崛起与世界贸易网络演化:1980—2018年[J]. 地理科学进展,2019,38(10):1596-1606.
[9] Liu Z,Wang T,Sonn J W,et al.The structure and evolution of trade relations between countries along the Belt and Road[J]. Journal of Geographical Sciences,2018,28(9):1233-1248.
[10] 种照辉,覃成林. “一带一路”贸易网络结构及其影响因素——基于网络分析方法的研究[J]. 国际经贸探索,2017,33(5):16-28.
[11] 邹嘉龄,刘卫东. 2001—2013年中国与“一带一路”沿线国家贸易网络分析[J]. 地理科学,2016,36(11):1629-1636.
[12] 陈伟,赵晞泉,刘卫东,等. “一带一路”贸易网络演化与贸易门户国家识别[J]. 地理学报,2023,78(10):2465-2483.
[13] Li J,Dong X,Jiang Q,et al.Natural gas trade network of countries and regions along the belt and road:Where to go in the future?[J]. Resources Policy,2021,https://doi.org/10.1016/j.resourpol.2020.101981.
[14] 计启迪,刘卫东,陈伟,等. 基于产业链的全球铜贸易网络结构研究[J]. 地理科学,2021,41(1):44-54.
[15] Chen W,Zhang H. Characterizing the structural evolution of cereal trade networks in the Belt and Road regions:A network analysis approach[J]. Foods,2022,https://doi.org/10.3390/foods11101468.
[16] 丛海彬,邹德玲,高博,等. “一带一路”沿线国家新能源汽车贸易网络格局及其影响因素[J]. 经济地理,2021,41(7):109-118.
[17] 魏冶,修春亮. 城市网络韧性的概念与分析框架探析[J]. 地理科学进展,2020,39(3):488-502.
[18] Holling C S.Resilience and stability of ecological systems[J]. Annual Review of Ecology and Systematics,1973,4(1):1-23.
[19] 郭卫东,钟业喜,冯兴华. 基于脆弱性视角的中国高铁城市网络韧性研究[J]. 地理研究,2022,41(5):1371-1387.
[20] 李博,曹盖. 基于涉海A股上市公司的中国沿海地区海洋经济网络结构韧性演化研究[J]. 地理科学进展,2022,41(6):945-955.
[21] 魏石梅,潘竟虎. 中国地级及以上城市网络结构韧性测度[J]. 地理学报,2021,76(6):1394-1407.
[22] 方叶林,苏雪晴,黄震方,等. 中国东部沿海五大城市群旅游流网络的结构特征及其韧性评估——基于演化韧性的视角[J]. 经济地理,2022,42(2):203-211.
[23] 黄梅,刘晨曦,俞晓莹,等. 城市水生态网络韧性评价与优化策略——以长沙市为例[J]. 经济地理,2022,42(10):52-60.
[24] Sun X,Wei Y,Jin Y,et al.The evolution of structural resilience of global oil and gas resources trade network[J]. Global Networks,2023,23(2):391-411.
[25] Kharrazi A,Rovenskaya E,Fath B D. Network structure impacts global commodity trade growth and resilience[J]. PLoS ONE,2017,https://doi.org/10.1371/journal.pone.0171184.
[26] 于娱,马代鹏,王贤梅. 国际铁矿资源全产业链产品的贸易网络韧性[J]. 资源科学,2022,44(10):2006-2021.
[27] Yang J,Chen W.Unravelling the landscape of global cobalt trade:Patterns,robustness,and supply chain security[J]. Resources Policy,2023,https://doi.org/10.1016/j.resourpol.2023.104277.
[28] Buldyrev S V,Parshani R,Paul G,et al.Catastrophic cascade of failures in interdependent networks[J]. Nature,2010,464(7291):1025-1028.
[29] Gao J,Barzel B,Barabási A L.Universal resilience patterns in complex network[J]. Nature,2016,530(7590):307-312.
[30] Barrat A,Barthelemy M,Pastor-Satorras R,et al.The architecture of complex weighted networks[J]. Proceedings of the National Academy of Sciences,2004,101(11):3747-3752.
[31] Alves H,Brito P,Campos P. Centrality measures in interval-weighted networks[J]. Journal of Complex Networks,2022,https://doi.org/10.1093/comnet/cnac031.
[32] Freeman L C,Roeder D,Mulholland R R.Centrality in social networks:II. experimental results[J]. Social Networks,1979,2(2):119-141.
[33] Eagle N,Macy M,Claxton R.Network diversity and economic development[J]. Science,2010,328(5981):1029-1031.
[34] Latora V,Marchiori M.Efficient behavior of small-world networks[J]. Physical Review Letters,2001,DOI:10.1103/PhysRevLett.87.198701.
[35] Chen W,Zhao X. Understanding global rice trade flows:Network evolution and implications[J]. Foods,2023,https://doi.org/10.3390/foods12173298.
[36] Dagum C.A new approach to the decomposition of the Gini income inequality ratio[J]. Empirical Economics,1997,22(4):515-531.
[37] Newman M E J. Assortative mixing in networks[J]. Physical Review Letters,2002,DOI:10.1103/PhysRevLett.89.208701.
[38] Pigorsch U,Sabek M.Assortative mixing in weighted directed networks[J]. Physica A:Statistical Mechanics and its Applications,2022,https://doi.org/10.1016/j.physa.2022.127850.
[39] Leung C C,Chau H F.Weighted assortative and disassortative networks model[J]. Physica A:Statistical Mechanics and Its Applications,2007,378(2):591-602.
[40] Barabási A L.Network Science[M]. Cambridge:Cambridge University Press,2016.
[41] Wei N,Xie W,Zhou W.Robustness of the international oil trade network under targeted attacks to economies[J]. Energy,2022,https://doi.org/10.1016/j.energy.2022.123939.
文章导航

/