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The Economic Commission for Latin America and the Caribbean (ECLAC) was right: scale-free complex networks and core-periphery patterns in world trade
[Cincuenta años del pensamiento de la cepal: una reseña]

Author

Listed:
  • Paulo Gala
  • Jhean Camargo
  • Elton Freitas

Abstract

The main purpose of this paper is to apply big-data and scale-free complex network techniques to the study of world trade, with a specific focus on the investigation of ECLAC and structuralist ideas. A secondary objective is to illustrate the potentialities of the use of the new science of complex networks in economics, in what has been recently referred to as an econophysics research agenda. We work with a trade network of 101 countries and 762 products (SITC-4) which generated 1,756,224 trade links in 2013. The empirical results based on network analysis and computational methods reported here point in the direction of what ECLAC economists used to argue; countries with higher income per capita concentrate in producing and exporting manufactured and complex goods at the center of the trade network; countries with lower income per capita specialize in producing and exporting non-complex commodities at the network’s periphery.

Suggested Citation

  • Paulo Gala & Jhean Camargo & Elton Freitas, 2018. "The Economic Commission for Latin America and the Caribbean (ECLAC) was right: scale-free complex networks and core-periphery patterns in world trade [Cincuenta años del pensamiento de la cepal: un," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 42(3), pages 633-651.
  • Handle: RePEc:oup:cambje:v:42:y:2018:i:3:p:633-651.
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    File URL: http://hdl.handle.net/10.1093/cje/bex057
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    Citations

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    Cited by:

    1. Ben-Hur Francisco Cardoso & Eva Yamila da Silva Catela & Guilherme Viegas & Fl'avio L. Pinheiro & Dominik Hartmann, 2023. "Export complexity, industrial complexity and regional economic growth in Brazil," Papers 2312.07469, arXiv.org.
    2. Anna Hovhannisyan & Ramon A. Castillo-Ponce & Rolando I. Valdez, 2019. "The Determinants of Income Inequality: The Role of Education," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 66(4), pages 451-464, December.
    3. Brancaccio, Emiliano & Giammetti, Raffaele & Lopreite, Milena & Puliga, Michelangelo, 2019. "Monetary policy, crisis and capital centralization in corporate ownership and control networks: A B-Var analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 55-66.
    4. Felipe Chávez-Bustamante & Elliott Mardones-Arias & Julio Rojas-Mora & Jaime Tijmes-Ihl, 2023. "A Forgotten Effects Approach to the Analysis of Complex Economic Systems: Identifying Indirect Effects on Trade Networks," Mathematics, MDPI, vol. 11(3), pages 1-20, January.
    5. Olivera Kostoska & Sonja Mitikj & Petar Jovanovski & Ljupco Kocarev, 2020. "Core-periphery structure in sectoral international trade networks: A new approach to an old theory," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-24, April.
    6. Luis Gerardo Hernández García, 2022. "Transport equipment network analysis: the value-added contribution," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 11(1), pages 1-25, December.

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