World Input-Output Network

被引:106
|
作者
Cerina, Federica [1 ,2 ]
Zhu, Zhen [3 ]
Chessa, Alessandro [1 ,3 ]
Riccaboni, Massimo [3 ,4 ]
机构
[1] Complex Syst Computat Lab, Linkalab, Cagliari, Italy
[2] Univ Cagliari, Dept Phys, Cagliari, Italy
[3] IMT Inst Adv Studies Lucca, Lucca, Italy
[4] Katholieke Univ Leuven, Dept Managerial Econ Strategy & Innovat, Leuven, Belgium
来源
PLOS ONE | 2015年 / 10卷 / 07期
关键词
INTERNATIONAL-TRADE; GROWTH;
D O I
10.1371/journal.pone.0134025
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Production systems, traditionally analyzed as almost independent national systems, are increasingly connected on a global scale. Only recently becoming available, the World Input-Output Database (WIOD) is one of the first efforts to construct the global multi-regional input-output (GMRIO) tables. By viewing the world input-output system as an interdependent network where the nodes are the individual industries in different economies and the edges are the monetary goods flows between industries, we analyze respectively the global, regional, and local network properties of the so-called world input-output network (WION) and document its evolution over time. At global level, we find that the industries are highly but asymmetrically connected, which implies that micro shocks can lead to macro fluctuations. At regional level, we find that the world production is still operated nationally or at most regionally as the communities detected are either individual economies or geographically well defined regions. Finally, at local level, for each industry we compare the network-based measures with the traditional methods of backward linkages. We find that the network-based measures such as PageRank centrality and community coreness measure can give valuable insights into identifying the key industries.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] Random walks on the world input-output network
    Piccardi, Carlo
    Riccaboni, Massimo
    Tajoli, Lucia
    Zhu, Zhen
    [J]. JOURNAL OF COMPLEX NETWORKS, 2018, 6 (02) : 187 - 205
  • [2] CASCADES IN WORLD INPUT-OUTPUT NETWORK: ILLUSION OF STABILITY
    Leonidov, Andrey
    Radionov, Stanislav
    Vasilyeva, Ekaterina
    [J]. ADVANCES IN COMPLEX SYSTEMS, 2022, 25 (04):
  • [3] Communities in world input-output network: Robustness and rankings
    Kireyev, Alexei
    Leonidov, Andrey
    Radionov, Stanislav
    Vasilyeva, Ekaterina
    [J]. PLOS ONE, 2022, 17 (04):
  • [4] Measuring US sectoral shocks in the world input-output network
    Ando, Sakai
    [J]. ECONOMICS LETTERS, 2014, 125 (02) : 204 - 207
  • [5] The Brain as an Input-Output Model of the World
    Shagrir, Oron
    [J]. MINDS AND MACHINES, 2018, 28 (01) : 53 - 75
  • [6] WORLD SCIENCE AS AN INPUT-OUTPUT SYSTEM
    INHABER, H
    ALVO, M
    [J]. SCIENTOMETRICS, 1978, 1 (01) : 43 - 64
  • [7] The asymmetric Brazilian input-output network
    Goncalves, Jennifer
    Matsushita, Raul
    Da Silva, Sergio
    [J]. JOURNAL OF ECONOMIC STUDIES, 2021, 48 (03) : 604 - 615
  • [8] INPUT-OUTPUT MULTIPLIERS WITH ERRORS IN INPUT-OUTPUT COEFFICIENTS
    PARK, SH
    [J]. JOURNAL OF ECONOMIC THEORY, 1973, 6 (04) : 399 - 403
  • [9] Network approximation of input-output maps and functionals
    Sandberg, IW
    Xu, LL
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 1996, 15 (06) : 711 - 725
  • [10] Input-output Relevancy Network Modeling and Analysis
    Fang, Aili
    Zhang, Siying
    [J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 1058 - +