IDEAS home Printed from https://ideas.repec.org/p/oec/devaaa/209-en.html
   My bibliography  Save this paper

Export Diversification in Low-Income Countries: An International Challenge After Doha

Author

Listed:
  • Federico Bonaglia
  • Kiichiro Fukasaku

Abstract

This paper discusses major policy issues related to commodity dependence and export diversification in low-income countries. Contrary to some widely-held view, it argues that natural resources are not necessarily a “curse” — that they do not condemn low-income countries to underdevelopment but can provide rather a basis for sustained export-led growth. Natural resource-based sectors have potential for export diversification. The OECD “mirror” trade data suggest that many different routes to diversification exist, including resource-based manufacturing and processing of primary products. However, these opportunities are not being exploited in many low-income countries. This is because export diversification is typically a slow process, and this process needs to be sustained by an appropriate and coherent strategy, characterised by a combination of vision, co-ordination and management of conflicting interests. Moreover, the analysis of trade support services in two African countries ... Les principaux problèmes liés à la dépendance vis-à-vis des produits de base et à la diversification des exportations dans les pays à faibles revenus sont abordés dans ce Document technique. Contrairement à une opinion largement répandue, les ressources naturelles ne sont pas nécessairement une “tare” — elles ne condamnent pas les pays pauvres au sous-développement, mais peuvent au contraire constituer la base d’une croissance durable tirée par les exportations. Les secteurs liés aux ressources naturelles disposent d’un potentiel de diversification à l’exportation. Il ressort des données sur les échanges de l’OCDE que les voies de la diversification sont nombreuses et variées, notamment les activités de transformation des produits primaires et les activités manufacturières à base de ressources naturelles. Toutefois, ces possibilités ne sont pas exploitées dans de nombreux pays à faibles revenus. En effet, la diversification des exportations est un processus lent, qui doit être ...

Suggested Citation

  • Federico Bonaglia & Kiichiro Fukasaku, 2003. "Export Diversification in Low-Income Countries: An International Challenge After Doha," OECD Development Centre Working Papers 209, OECD Publishing.
    • Handle: RePEc:oec:devaaa:209-en
    DOI: 10.1787/043266813306
    as

    Download full text from publisher

    File URL: https://doi.org/10.1787/043266813306
    Download Restriction: no
    File URL: https://libkey.io/10.1787/043266813306?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Paul Cashin & C. John McCDermott, 2002. "The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability," IMF Staff Papers, Palgrave Macmillan, vol. 49(2), pages 1-2.
    2. Manuel R. Agosin, 1997. "Export Performance in Chile: Lessons for Africa," WIDER Working Paper Series wp-1997-144, World Institute for Development Economic Research (UNU-WIDER).
    3. Blomström, Magnus & Kokko, Ari, 2002. "From Natural Resources to High-Tech Production: The Evolution of Industrial Competitiveness in Sweden and Finland," EIJS Working Paper Series 139, Stockholm School of Economics, The European Institute of Japanese Studies.
    Full references (including those not matched with items on IDEAS)

    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. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    2. Gabriel Srour, 2004. "Economic Integration, Sectoral Diversification, and Exchange Rate Policy in a Developing Economy," IMF Working Papers 2004/060, International Monetary Fund.
    3. Olivier Gervais & Ilan Kolet & René Lalonde, 2010. "A Larger Slice of a Growing Pie: the Role of Emerging Asia in Forecasting Commodity Prices," Money Affairs, CEMLA, vol. 0(1), pages 75-95, January-J.
    4. Krätschell, Karoline & Schmidt, Torsten, 2013. "Long-run trends or short-run fluctuations What establishes the correlation between oil and food prices?," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79798, Verein für Socialpolitik / German Economic Association.
    5. Rabah Arezki & Daniel Lederman & Hongyan Zhao, 2014. "The Relative Volatility of Commodity Prices: A Reappraisal," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(3), pages 939-951.
    6. Mounir Amdaoud, 2019. "Ressources naturelles, innovation et développement économique : vers une nouvelle approche," CEPN Working Papers 2019-06, Centre d'Economie de l'Université de Paris Nord.
    7. Yamada, Hiroshi & Yoon, Gawon, 2014. "When Grilli and Yang meet Prebisch and Singer: Piecewise linear trends in primary commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 193-207.
    8. Tuinstra, Jan & Wegener, Michael & Westerhoff, Frank, 2014. "Positive welfare effects of trade barriers in a dynamic partial equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 246-264.
    9. Arezki, Rabah & Hadri, Kaddour & Loungani, Prakash & Rao, Yao, 2014. "Testing the Prebisch–Singer hypothesis since 1650: Evidence from panel techniques that allow for multiple breaks," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 208-223.
    10. Rossen, Anja, 2015. "What are metal prices like? Co-movement, price cycles and long-run trends," Resources Policy, Elsevier, vol. 45(C), pages 255-276.
    11. Christophe Gouel & Nicolas Legrand, 2017. "Estimating the Competitive Storage Model with Trending Commodity Prices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(4), pages 744-763, June.
    12. René Lalonde & Zhenhua Zhu & Frédérick Demers, 2003. "Forecasting and Analyzing World Commodity Prices," Money Affairs, CEMLA, vol. 0(1), pages 1-30, January-J.
    13. Chen, Mei-Hsiu, 2010. "Understanding world metals prices--Returns, volatility and diversification," Resources Policy, Elsevier, vol. 35(3), pages 127-140, September.
    14. Ozdemir, Zeynel Abidin & Gokmenoglu, Korhan & Ekinci, Cagdas, 2013. "Persistence in crude oil spot and futures prices," Energy, Elsevier, vol. 59(C), pages 29-37.
    15. Baffes, John & Kabundi, Alain, 2023. "Commodity price shocks: Order within chaos?," Resources Policy, Elsevier, vol. 83(C).
    16. Luis Eduardo Arango & Fernando Arias & Luz Adriana Flórez, 2008. "Trends, Fluctuations, and Determinants of Commodity Prices," Borradores de Economia 521, Banco de la Republica de Colombia.
    17. Jair N. Ojeda-Joya & Oscar Jaulin-Mendez & Juan C. Bustos-Peláez, 2019. "The Interdependence Between Commodity-Price and GDP Cycles: A Frequency-Domain Approach," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 47(3), pages 275-292, September.
    18. Julien Chevallier & Mathieu Gatumel & Florian Ielpo, 2013. "Understanding momentum in commodity markets," Applied Economics Letters, Taylor & Francis Journals, vol. 20(15), pages 1383-1402, October.
    19. Dwight S. Jackson, 2010. "The Dynamics of Bank Spreads in the Jamaican Banking Sector: an Empirical Assessment," Money Affairs, CEMLA, vol. 0(1), pages 1-35, January-J.
    20. repec:zbw:rwirep:0357 is not listed on IDEAS
    21. Alexandra Dwyer & George Gardner & Thomas Williams, 2011. "Global Commodity Markets - Price Volatility and Financialisation," RBA Bulletin (Print copy discontinued), Reserve Bank of Australia, pages 49-58, June.

    More about this item

    JEL classification:

    • Q33 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Resource Booms (Dutch Disease)
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade

    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:oec:devaaa:209-en. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/dcoecfr.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.