IDEAS home Printed from https://ideas.repec.org/p/fgv/eesptd/448.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://repositorio.fgv.br/bitstreams/0036bf91-8e0d-4a38-a5b4-d7a48a30c014/download
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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, January.
    2. 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.
    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. Hill,Hal, 2000. "The Indonesian Economy," Cambridge Books, Cambridge University Press, number 9780521663670, October.
    5. 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.
    6. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Isaac Ketu & Jules-Eric Tchapchet Tchouto & Arsene Mouongue Kelly, 2022. "Does infrastructure development drive economic complexity in African countries?," Economics Bulletin, AccessEcon, vol. 42(4), pages 2043-2053.
    3. 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).
    4. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ali Alichi & Rabah Arezki, 2012. "An alternative explanation for the resource curse: the income effect channel," Applied Economics, Taylor & Francis Journals, vol. 44(22), pages 2881-2894, August.
    2. Steinberg, Daniel, 2017. "Resource shocks and human capital stocks – Brain drain or brain gain?," Journal of Development Economics, Elsevier, vol. 127(C), pages 250-268.
    3. Moradbeigi, Maryam & Law, Siong Hook, 2016. "Growth volatility and resource curse: Does financial development dampen the oil shocks?," Resources Policy, Elsevier, vol. 48(C), pages 97-103.
    4. Chen, Yufeng & Khurshid, Adnan & Rauf, Abdur & Yang, Hanyao & Calin, Adrian Cantemir, 2023. "Natural resource endowment and human development: Contemporary role of governance," Resources Policy, Elsevier, vol. 81(C).
    5. Behzadan, Nazanin & Chisik, Richard & Onder, Harun & Battaile, Bill, 2017. "Does inequality drive the Dutch disease? Theory and evidence," Journal of International Economics, Elsevier, vol. 106(C), pages 104-118.
    6. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    7. Chowdhury, Abdur R., 2003. "Do asymmetric terms of trade shocks affect private savings in a transition economy?," BOFIT Discussion Papers 3/2003, Bank of Finland Institute for Emerging Economies (BOFIT).
    8. Abdur R Chowdhury, 2004. "Private Savings in Transition Economies: Are there Terms of Trade Shocks?," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 46(4), pages 487-514, December.
    9. Chowdhury, Abdur, 2015. "Terms of trade shocks and private savings in the developing countries," Journal of Comparative Economics, Elsevier, vol. 43(4), pages 1122-1134.
    10. Michel Beine & Serge Coulombe & Wessel N. Vermeulen, 2015. "Dutch Disease and the Mitigation Effect of Migration: Evidence from Canadian Provinces," Economic Journal, Royal Economic Society, vol. 125(589), pages 1574-1615, December.
    11. Jan Dehn, 2000. "Private Investment in Developing Countries: The Effects of Commodity Shocks and Uncertainty," Economics Series Working Papers WPS/2000-11, University of Oxford, Department of Economics.
    12. Williams, Andrew, 2011. "Shining a Light on the Resource Curse: An Empirical Analysis of the Relationship Between Natural Resources, Transparency, and Economic Growth," World Development, Elsevier, vol. 39(4), pages 490-505, April.
    13. Chowdhury, Abdur R., 2003. "Do asymmetric terms of trade shocks affect private savings in a transition economy?," BOFIT Discussion Papers 3/2003, Bank of Finland, Institute for Economies in Transition.
    14. Tullio Buccellato & Tomasz Marek Mickiewicz, 2007. "Oil and gas: a blessing for few hydrocarbons and within-region inequality in Russia," UCL SSEES Economics and Business working paper series 80, UCL School of Slavonic and East European Studies (SSEES), revised Feb 2008.
    15. Abdur R. Chowdhury, 2003. "Do asymmetric terms of trade shocks affect private savings in a transition economy?," Macroeconomics 0303006, University Library of Munich, Germany.
    16. Diadié Diaw & Albert Lessoua, 2013. "Natural Resources Exports, Diversification and Economic Growth of CEMAC Countries: On the Impact of Trade with China," African Development Review, African Development Bank, vol. 25(2), pages 189-202, June.
    17. Bjorvatn, Kjetil & Farzanegan, Mohammad Reza & Schneider, Friedrich, 2012. "Resource Curse and Power Balance: Evidence from Oil-Rich Countries," World Development, Elsevier, vol. 40(7), pages 1308-1316.
    18. Hal Hill & Donny Pasaribu, 2022. "Some reflections on Indonesia and the resource curse," Departmental Working Papers 2022-06, The Australian National University, Arndt-Corden Department of Economics.
    19. Arezki, Rabah & Ismail, Kareem, 2013. "Boom–bust cycle, asymmetrical fiscal response and the Dutch disease," Journal of Development Economics, Elsevier, vol. 101(C), pages 256-267.
    20. Emmanuel K. K. Lartey, 2007. "Capital inflows and the real exchange rate: An empirical study of sub-Saharan Africa," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 16(3), pages 337-357.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fgv:eesptd:448. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Núcleo de Computação da FGV EPGE (email available below). General contact details of provider: https://edirc.repec.org/data/eegvfbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.