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The structuralist revenge: economic complexity as an important dimension to evaluate growth and development

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  • Gala, Paulo
  • Rocha, Igor
  • Magacho, Guilherme

Abstract

This paper brings elements from the economic complexity literature to the discussions of the structuralist tradition on the central role of manufacturing and productive sophistication to economic growth. Using data provided by the Atlas of Economic Complexity this study sought to verify if countries’ complexity is important to explain convergence and divergence among poor and rich countries and, if so, which are the countries that will be able to reduce the income gap compared to developed countries. The econometric analysis revealed that exports and production complexity is significant to explain convergence and divergence among countries.

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  • Gala, Paulo & Rocha, Igor & Magacho, Guilherme, 2016. "The structuralist revenge: economic complexity as an important dimension to evaluate growth and development," Textos para discussão 436, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    • Handle: RePEc:fgv:eesptd:436
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    1. Luiz Carlos Bresser-Pereira, 2016. "Reflecting on new developmentalism and classical developmentalism," Review of Keynesian Economics, Edward Elgar Publishing, vol. 4(3), pages 331-352, July.
    2. Erik S. Reinert, 2010. "Developmentalism," The Other Canon Foundation and Tallinn University of Technology Working Papers in Technology Governance and Economic Dynamics 34, TUT Ragnar Nurkse Department of Innovation and Governance.
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    5. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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