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基于引文网络的国家间投入产出表分析:如何衡量全球价值链上产业部门之间的竞争与合作。

Analysis of inter-country input-output table based on citation network: How to measure the competition and collaboration between industrial sectors on the global value chain.

作者信息

Xing Lizhi

机构信息

School of Economics and Management, Beijing University of Technology, Beijing, China.

出版信息

PLoS One. 2017 Sep 5;12(9):e0184055. doi: 10.1371/journal.pone.0184055. eCollection 2017.

DOI:10.1371/journal.pone.0184055
PMID:28873432
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5584970/
Abstract

The input-output table is comprehensive and detailed in describing the national economic system with complex economic relationships, which embodies information of supply and demand among industrial sectors. This paper aims to scale the degree of competition/collaboration on the global value chain from the perspective of econophysics. Global Industrial Strongest Relevant Network models were established by extracting the strongest and most immediate industrial relevance in the global economic system with inter-country input-output tables and then transformed into Global Industrial Resource Competition Network/Global Industrial Production Collaboration Network models embodying the competitive/collaborative relationships based on bibliographic coupling/co-citation approach. Three indicators well suited for these two kinds of weighted and non-directed networks with self-loops were introduced, including unit weight for competitive/collaborative power, disparity in the weight for competitive/collaborative amplitude and weighted clustering coefficient for competitive/collaborative intensity. Finally, these models and indicators were further applied to empirically analyze the function of sectors in the latest World Input-Output Database, to reveal inter-sector competitive/collaborative status during the economic globalization.

摘要

投入产出表在描述具有复杂经济关系的国民经济体系方面全面且详细,它体现了产业部门之间的供需信息。本文旨在从经济物理学的角度衡量全球价值链上的竞争/合作程度。通过利用国家间投入产出表提取全球经济体系中最强且最直接的产业关联,建立了全球产业最强关联网络模型,然后基于文献耦合/共被引方法将其转化为体现竞争/合作关系的全球产业资源竞争网络/全球产业生产合作网络模型。引入了三个非常适合这两种带有自环的加权无向网络的指标,包括竞争/合作能力的单位权重、竞争/合作幅度的权重差异以及竞争/合作强度的加权聚类系数。最后,将这些模型和指标进一步应用于对最新世界投入产出数据库中各部门的功能进行实证分析,以揭示经济全球化过程中部门间的竞争/合作状况。

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本文引用的文献

1
Spreading Effect in Industrial Complex Network Based on Revised Structural Holes Theory.基于修正结构洞理论的产业复杂网络中的传播效应
PLoS One. 2016 May 24;11(5):e0156270. doi: 10.1371/journal.pone.0156270. eCollection 2016.
2
World Input-Output Network.世界投入产出网络
PLoS One. 2015 Jul 29;10(7):e0134025. doi: 10.1371/journal.pone.0134025. eCollection 2015.
3
Propagation of economic shocks in input-output networks: a cross-country analysis.投入产出网络中经济冲击的传播:一项跨国分析。
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Dec;90(6):062812. doi: 10.1103/PhysRevE.90.062812. Epub 2014 Dec 19.
4
Collective credit allocation in science.科学中的集体信用分配。
Proc Natl Acad Sci U S A. 2014 Aug 26;111(34):12325-30. doi: 10.1073/pnas.1401992111. Epub 2014 Aug 11.
5
Vertex centralities in input-output networks reveal the structure of modern economies.投入产出网络中的顶点中心性揭示了现代经济的结构。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Apr;83(4 Pt 2):046127. doi: 10.1103/PhysRevE.83.046127. Epub 2011 Apr 28.
6
Backbone of complex networks of corporations: the flow of control.公司复杂网络的支柱:控制权的流动。
Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Sep;80(3 Pt 2):036104. doi: 10.1103/PhysRevE.80.036104. Epub 2009 Sep 8.
7
A method of matrix analysis of group structure.一种群体结构的矩阵分析方法。
Psychometrika. 1949 Jun;14(2):95-116. doi: 10.1007/BF02289146.
8
Scientific collaboration networks. II. Shortest paths, weighted networks, and centrality.科学合作网络。II. 最短路径、加权网络与中心性。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016132. doi: 10.1103/PhysRevE.64.016132. Epub 2001 Jun 28.
9
Scientific collaboration networks. I. Network construction and fundamental results.科学合作网络。I. 网络构建与基本结果。
Phys Rev E Stat Nonlin Soft Matter Phys. 2001 Jul;64(1 Pt 2):016131. doi: 10.1103/PhysRevE.64.016131. Epub 2001 Jun 28.
10
The structure of scientific collaboration networks.科学合作网络的结构
Proc Natl Acad Sci U S A. 2001 Jan 16;98(2):404-9. doi: 10.1073/pnas.98.2.404. Epub 2001 Jan 9.