• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

各国在国际全球价值网络中的地位:中心性与经济表现。

Countries' positions in the international global value networks: Centrality and economic performance.

作者信息

Cingolani Isabella, Panzarasa Pietro, Tajoli Lucia

机构信息

1Big Data and Analytical Unit, Department of Surgery and Cancer, Imperial College London, London, UK.

2School of Business and Management, Queen Mary University of London, London, UK.

出版信息

Appl Netw Sci. 2017;2(1):21. doi: 10.1007/s41109-017-0041-4. Epub 2017 Jul 12.

DOI:10.1007/s41109-017-0041-4
PMID:30443576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6214273/
Abstract

The international exchange of goods and services is increasingly organised along global value chains in which the various production stages are carried out at many different locations all over the world. A country can be seen as holding a central position in global trade to the extent that it is involved in a large number of economic transactions with alternative potential suppliers and has a wide access to different important markets. However, the centrality of countries' positions in the international production of goods and services may vary according to the specific stages of the production process that countries occupy. Here we adopt a network-based perspective, and propose a novel three-faceted measure of centrality that captures countries' distinct roles at the upstream, midstream, and downstream stages of the international production process. Findings suggest that rankings of countries based on our measures of centrality vary across production stages. While emerging and developing countries tend to secure central positions at upstream and midstream production stages, high-income countries tend to exert prevailing roles at downstream stages. Moreover, rankings based on our measures differ from alternative rankings obtained from traditional measures of market power simply reflecting aggregate trade values. This is especially the case within more traditional industries, such as Textiles and Apparel, in which small and less developed countries can play relevant roles at various stages of the production process.

摘要

商品和服务的国际交换越来越多地沿着全球价值链进行组织,在全球价值链中,各个生产阶段在世界各地的许多不同地点进行。一个国家如果参与了大量与潜在替代供应商的经济交易,并且能够广泛进入不同的重要市场,那么就可以被视为在全球贸易中占据中心地位。然而,各国在国际商品和服务生产中的中心地位可能会因各国在生产过程中所处的具体阶段而有所不同。在这里,我们采用基于网络的视角,并提出一种新颖的三方面中心性度量方法,该方法能够捕捉各国在国际生产过程的上游、中游和下游阶段所扮演的不同角色。研究结果表明,基于我们的中心性度量方法对各国的排名在不同生产阶段有所不同。新兴国家和发展中国家往往在上游和中游生产阶段占据中心地位,而高收入国家则往往在下游阶段发挥主导作用。此外,基于我们的度量方法得出的排名与从简单反映总贸易价值的传统市场力量度量方法获得的替代排名不同。在纺织和服装等更传统的行业中尤其如此,在这些行业中,小国和欠发达国家在生产过程的各个阶段都可以发挥相关作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/b8614e875311/41109_2017_41_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/dda52051029e/41109_2017_41_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/73900894f68e/41109_2017_41_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/64f59df5c224/41109_2017_41_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/3cbf62311b06/41109_2017_41_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/b6550955d863/41109_2017_41_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/cdedbf6dfe4b/41109_2017_41_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/b8614e875311/41109_2017_41_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/dda52051029e/41109_2017_41_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/73900894f68e/41109_2017_41_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/64f59df5c224/41109_2017_41_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/3cbf62311b06/41109_2017_41_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/b6550955d863/41109_2017_41_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/cdedbf6dfe4b/41109_2017_41_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9277/6214273/b8614e875311/41109_2017_41_Fig7_HTML.jpg

相似文献

1
Countries' positions in the international global value networks: Centrality and economic performance.各国在国际全球价值网络中的地位:中心性与经济表现。
Appl Netw Sci. 2017;2(1):21. doi: 10.1007/s41109-017-0041-4. Epub 2017 Jul 12.
2
The world trade network: country centrality and the COVID-19 pandemic.世界贸易网络:国家中心性与新冠疫情
Appl Netw Sci. 2022;7(1):18. doi: 10.1007/s41109-022-00452-4. Epub 2022 Mar 21.
3
International Trade Modelling Using Open Flow Networks: A Flow-Distance Based Analysis.使用开放流网络的国际贸易建模:基于流距离的分析
PLoS One. 2015 Nov 16;10(11):e0142936. doi: 10.1371/journal.pone.0142936. eCollection 2015.
4
The rise and fall of countries in the global value chains.全球价值链中各国的兴衰。
Sci Rep. 2022 May 31;12(1):9086. doi: 10.1038/s41598-022-12067-x.
5
Evaluation and impact factors of international competitiveness of China's cobalt industry from the perspective of trade networks.基于贸易网络视角的中国钴产业国际竞争力评价及影响因素
Sci Rep. 2024 May 28;14(1):12165. doi: 10.1038/s41598-024-63104-w.
6
Analysis of the global trade network of the chip industry chain: Does the U.S.-China tech war matter?芯片产业链全球贸易网络分析:美中科技战有影响吗?
Heliyon. 2023 Jun 9;9(6):e17092. doi: 10.1016/j.heliyon.2023.e17092. eCollection 2023 Jun.
7
The impact of COVID-19 on global value chains: Disruption in nonessential goods production.新冠疫情对全球价值链的影响:非必需品生产的中断
Reg Sci Policy Prac. 2021 Nov;13(Suppl 1):32-54. doi: 10.1111/rsp3.12416. Epub 2021 Apr 28.
8
Foreign multinationals affiliates and countries' carbon upstreamness. How could these firms support the fulfilment of emissions reduction targets?外资跨国公司的子公司与国家的碳上游地位。这些公司如何支持减排目标的实现?
J Environ Manage. 2023 Jan 15;326(Pt A):116714. doi: 10.1016/j.jenvman.2022.116714. Epub 2022 Nov 8.
9
Connected and extracted: Understanding how centrality in the global wheat supply chain affects global hunger using a network approach.关联与提取:利用网络方法理解全球小麦供应链中的中心地位如何影响全球饥饿问题。
PLoS One. 2022 Jun 15;17(6):e0269891. doi: 10.1371/journal.pone.0269891. eCollection 2022.
10
Insights into countries' exposure and vulnerability to food trade shocks from network-based simulations.基于网络模拟的国家粮食贸易冲击暴露度和脆弱性分析。
Sci Rep. 2022 Mar 17;12(1):4644. doi: 10.1038/s41598-022-08419-2.

引用本文的文献

1
Transport equipment network analysis: the value-added contribution.运输设备网络分析:增值贡献
J Econ Struct. 2022;11(1):28. doi: 10.1186/s40008-022-00289-1. Epub 2022 Dec 6.
2
Analysis of the global trade network using exponential random graph models.使用指数随机图模型分析全球贸易网络。
Appl Netw Sci. 2022;7(1):38. doi: 10.1007/s41109-022-00479-7. Epub 2022 Jun 11.
3
The rise and fall of countries in the global value chains.全球价值链中各国的兴衰。

本文引用的文献

1
The structure and dynamics of multilayer networks.多层网络的结构与动态特性
Phys Rep. 2014 Nov 1;544(1):1-122. doi: 10.1016/j.physrep.2014.07.001. Epub 2014 Jul 10.
2
Pathways towards instability in financial networks.金融网络不稳定的路径。
Nat Commun. 2017 Feb 21;8:14416. doi: 10.1038/ncomms14416.
3
The price of complexity in financial networks.金融网络中复杂性的代价。
Sci Rep. 2022 May 31;12(1):9086. doi: 10.1038/s41598-022-12067-x.
4
Shock propagation channels behind the global economic contagion network. The role of economic sectors and the direction of trade.全球经济传染网络背后的冲击传播渠道。经济部门的作用和贸易方向。
PLoS One. 2021 Oct 20;16(10):e0258309. doi: 10.1371/journal.pone.0258309. eCollection 2021.
5
The strength of domestic production networks: an economic application of the Finn cycling index.国内生产网络的强度:芬恩循环指数的经济应用
Appl Netw Sci. 2021;6(1):69. doi: 10.1007/s41109-021-00411-5. Epub 2021 Sep 19.
6
Competitive Conditions in Global Value Chain Networks: An Assessment Using Entropy and Network Analysis.全球价值链网络中的竞争状况:基于熵和网络分析的评估
Entropy (Basel). 2020 Sep 23;22(10):1068. doi: 10.3390/e22101068.
7
Unfolding the Complexity of the Global Value Chain: Strength and Entropy in the Single-Layer, Multiplex, and Multi-Layer International Trade Networks.剖析全球价值链的复杂性:单层、多层和多层国际贸易网络中的强度与熵
Entropy (Basel). 2018 Nov 28;20(12):909. doi: 10.3390/e20120909.
8
Fragility of a multilayer network of intranational supply chains.国内供应链多层网络的脆弱性。
Appl Netw Sci. 2020;5(1):71. doi: 10.1007/s41109-020-00310-1. Epub 2020 Sep 23.
9
The nested structural organization of the worldwide trade multi-layer network.全球贸易多层网络的嵌套结构组织。
Sci Rep. 2019 Feb 27;9(1):2866. doi: 10.1038/s41598-019-39340-w.
Proc Natl Acad Sci U S A. 2016 Sep 6;113(36):10031-6. doi: 10.1073/pnas.1521573113. Epub 2016 Aug 23.
4
Discovering Preferential Patterns in Sectoral Trade Networks.发现部门贸易网络中的偏好模式。
PLoS One. 2015 Oct 20;10(10):e0140951. doi: 10.1371/journal.pone.0140951. eCollection 2015.
5
Ranking in interconnected multilayer networks reveals versatile nodes.在相互连接的多层网络中进行排名可以揭示多功能节点。
Nat Commun. 2015 Apr 23;6:6868. doi: 10.1038/ncomms7868.
6
Weighted multiplex networks.加权多重网络。
PLoS One. 2014 Jun 6;9(6):e97857. doi: 10.1371/journal.pone.0097857. eCollection 2014.
7
DebtRank: too central to fail? Financial networks, the FED and systemic risk.债务评级:大而不倒?金融网络、美联储与系统性风险。
Sci Rep. 2012;2:541. doi: 10.1038/srep00541. Epub 2012 Aug 2.
8
The architecture of complex weighted networks.复杂加权网络的架构
Proc Natl Acad Sci U S A. 2004 Mar 16;101(11):3747-52. doi: 10.1073/pnas.0400087101. Epub 2004 Mar 8.