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The resource curse reloaded: revisiting the Dutch disease with economic complexity analysis

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  • Camargo, Jhean Steffan Martines de
  • Gala, Paulo

Abstract

This paper shows that the Dutch disease can be more formally characterised as low economic complexity using ECI-type indicators; there is a solid and robust inverse relationship between exports concentrating on natural resources and economic complexity as measured by complexity indicators for a database of 122 countries from 1963 to 2013. In a large majority of cases, oil answers for shares in excess of 50% of exports. In addition to empirical panel analysis, we address case studies concerned with Indonesia and Nigeria and introduce a brief review of the theoretical literature on the topic. Indonesia is considered in the literature as a good example in avoiding the negative effects of the Dutch disease, whereas Nigeria is taken as a bad example in terms of institutions and policies adopted during the seventies and eighties. The empirical results show that complexity analysis and Big Data may offer significant contributions to the still-current debate surrounding the Dutch disease.

Suggested Citation

  • Camargo, Jhean Steffan Martines de & Gala, Paulo, 2017. "The resource curse reloaded: revisiting the Dutch disease with economic complexity analysis," Textos para discussão 448, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
  • Handle: RePEc:fgv:eesptd:448
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    References listed on IDEAS

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    1. Hill,Hal, 2000. "The Indonesian Economy," Cambridge Books, Cambridge University Press, number 9780521663670.
    2. van Wijnbergen, Sweder J G, 1984. "The 'Dutch Disease': A Disease after All?," Economic Journal, Royal Economic Society, vol. 94(373), pages 41-55, March.
    3. Corden, W M, 1984. "Booming Sector and Dutch Disease Economics: Survey and Consolidation," Oxford Economic Papers, Oxford University Press, vol. 36(3), pages 359-380, November.
    4. John Williamson, 2005. "Curbing the Boom-Bust Cycle: Stabilizing Capital Flows to Emerging Markets," Peterson Institute Press: All Books, Peterson Institute for International Economics, number pa75, October.
    5. Hal Hill, 2000. "Indonesia: The Strange and Sudden Death of a Tiger Economy," Oxford Development Studies, Taylor & Francis Journals, vol. 28(2), pages 117-139.
    6. 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.
    7. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    Cited by:

    1. Hoang, Dung Phuong & Chu, Lan Khanh & To, Trung Thanh, 2023. "How do economic policy uncertainty, geopolitical risk, and natural resources rents affect economic complexity? Evidence from advanced and emerging market economies," Resources Policy, Elsevier, vol. 85(PA).
    2. Sevde Arpaci‐Ayhan, 2023. "Foreign aid as a catalyst for improving productive capabilities in recipients," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(5), pages 738-760, July.
    3. Yilanci, Veli & Aslan, Murat & Ozgur, Onder, 2021. "Disaggregated analysis of the curse of natural resources in most natural resource-abundant countries," Resources Policy, Elsevier, vol. 71(C).

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