Patterns of variability in the structure of global value chains: a network analysis

被引:0
|
作者
Piccardi, Carlo [1 ]
Tajoli, Lucia [2 ]
Vitali, Riccardo [1 ]
机构
[1] Politecn Milan, Dept Elect Informat & Bioengn, Piazza Leonardo Vinci 32, I-20133 Milan, Italy
[2] Politecn Milan, Dept Management Econ & Ind Engn, Via Lambruschini 4-b, I-20156 Milan, Italy
关键词
Global value chains; Global value networks; Length; Network analysis; F14; F12; C65; TRADE; COMMUNICABILITY;
D O I
10.1007/s10290-023-00521-5
中图分类号
F [经济];
学科分类号
02 ;
摘要
Global Value Chains (GVCs) are a feature of the organization of production in many sectors and countries and they deeply affect international trade patterns. How far the separation of production stages-generating increasingly widespread GVCs-can go, is currently a matter of debate. The main focus of this paper is to investigate GVCs at the country-industry level by modelling them through the construction of a specific network and using network analysis tools. In particular, the aim is to propose a network-based measure of GVCs length to assess whether the structure of GVCs has stretched or shrank over time. Analyzing the evolution of these structures is important to better understand the role played by countries in the production chain, with implications also for their fragility or resilience in presence of external shocks. Our measure allows to consider differently shaped GVCs, and the results show that there are relevant differences among sectors and countries in terms of the evolution of GVCs, especially considering direct or indirect links. Overall, we find a general stability over time of GVCs, confirming the importance of the "relational approach" in GVCs. But the shifts in the geographical patterns of the connections also support the view that firms organizing this complex form of production are ready to grasp better opportunities when they appear in the global markets.
引用
收藏
页数:28
相关论文
共 50 条
  • [1] Patterns of integration in global value chains and the changing structure of employment in Europe
    Bontadini, Filippo
    Evangelista, Rinaldo
    Meliciani, Valentina
    Savona, Maria
    [J]. INDUSTRIAL AND CORPORATE CHANGE, 2022, 31 (03) : 811 - 837
  • [2] Complex Network Analysis for Characterizing Global Value Chains in Equipment
    Xiao, Hao
    Sun, Tianyang
    Meng, Bo
    Cheng, Lihong
    [J]. PLOS ONE, 2017, 12 (01):
  • [3] Participation in global value chains and varieties of development patterns
    Smichowski, Bruno Carballa
    Durand, Cedric
    Knauss, Steven
    [J]. CAMBRIDGE JOURNAL OF ECONOMICS, 2021, 45 (02) : 271 - 294
  • [4] Complex network analysis of carbon emission transfers under global value chains
    Yanfang Wang
    Jingmin Yao
    [J]. Environmental Science and Pollution Research, 2022, 29 : 47673 - 47695
  • [5] Complex network analysis of carbon emission transfers under global value chains
    Wang, Yanfang
    Yao, Jingmin
    [J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2022, 29 (31) : 47673 - 47695
  • [6] Global value chains: Building blocks and network dynamics
    Tsekeris, Theodore
    [J]. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 488 : 187 - 204
  • [7] Global Value Chains of COVID-19 Materials: A Weighted Directed Network Analysis
    Angelidis, Georgios
    Bratsas, Charalambos
    Makris, Georgios
    Ioannidis, Evangelos
    Varsakelis, Nikos C.
    Antoniou, Ioannis E.
    [J]. MATHEMATICS, 2021, 9 (24)
  • [8] Correction to: Complex network analysis of carbon emission transfers under global value chains
    Yanfang Wang
    Jingmin Yao
    [J]. Environmental Science and Pollution Research, 2022, 29 : 65886 - 65886
  • [9] Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis
    Angelidis, Georgios
    Varsakelis, Nikos C.
    [J]. INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH, 2023, 29 (03) : 111 - 128
  • [10] Economic Shock Transmission through Global Value Chains: An Assessment using Network Analysis
    Georgios Angelidis
    Nikos C. Varsakelis
    [J]. International Advances in Economic Research, 2023, 29 : 111 - 128