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Export Structure And Economic Performance In Developing Countries: Evidence From Nonparametric Methodology


  • Sudip Ranjan Basu
  • Monica Das


The objective of the paper is to use nonparametric methodology to examine the relationship between skill and technology intensive manufacture exports and gross domestic product (GDP) per capita, controlling for institutional quality and human capital in developing countries. The paper uses the Li-Racine (2004) generalized kernel estimation methodology to examine the role of skill and technology content of the exports in understanding differential level of economic performance across countries and country groups. In the extended model, we also control for other factors that influence economic performance such as availability of financial capital and effective foreign market access of exports of developing countries. The paper uses the database from the United Nations COMTRADE Harmonized System (HS) four-digit level of disaggregation to provide new system of classification of traded goods by assigning each one of them according to their skill and technology content as proposed in Basu (forthcoming). The analysis is carried out for a set of 88 developing countries over 1995 to 2007. Similar to parametric results, the nonparametric analysis lends further support to the view that as the skill and technology content of the exports increase, the impact on GDP per capita increases positivity and significantly as well, after controlling for other policy variables.

Suggested Citation

  • Sudip Ranjan Basu & Monica Das, 2011. "Export Structure And Economic Performance In Developing Countries: Evidence From Nonparametric Methodology," UNCTAD Blue Series Papers 48, United Nations Conference on Trade and Development.
  • Handle: RePEc:unc:blupap:48

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    References listed on IDEAS

    1. Daron Acemoglu & Simon Johnson & James A. Robinson, 2001. "The Colonial Origins of Comparative Development: An Empirical Investigation," American Economic Review, American Economic Association, vol. 91(5), pages 1369-1401, December.
    2. Jean Imbs & Romain Wacziarg, 2003. "Stages of Diversification," American Economic Review, American Economic Association, vol. 93(1), pages 63-86, March.
    3. Ricardo Hausmann & Jason Hwang & Dani Rodrik, 2007. "What you export matters," Journal of Economic Growth, Springer, vol. 12(1), pages 1-25, March.
    4. Racine, Jeff & Li, Qi, 2004. "Nonparametric estimation of regression functions with both categorical and continuous data," Journal of Econometrics, Elsevier, vol. 119(1), pages 99-130, March.
    5. Easterly, William & Levine, Ross, 2003. "Tropics, germs, and crops: how endowments influence economic development," Journal of Monetary Economics, Elsevier, vol. 50(1), pages 3-39, January.
    6. Ricardo Hausmann & Bailey Klinger, 2006. "Structural Transformation and Patterns of Comparative Advantage in the Product Space," CID Working Papers 128, Center for International Development at Harvard University.
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    Cited by:

    1. Naudé, Wim & Surdej, Aleksander & Cameron, Martin, 2019. "The Past and Future of Manufacturing in Central and Eastern Europe: Ready for Industry 4.0?," IZA Discussion Papers 12141, Institute of Labor Economics (IZA).
    2. Lu, Yi & Tao, Zhigang & Zhang, Yan, 2018. "How do exporters adjust export product scope and product mix to react to antidumping?," China Economic Review, Elsevier, vol. 51(C), pages 20-41.
    3. Sudip Ranjan Basu, 2017. "Do data show divergence? Revisiting global income inequality trends," MPDD Working Paper Series WP/17/03, United Nations Economic and Social Commission for Asia and the Pacific (ESCAP).
    4. Lucas FERRERO & Carlos Matías HISGEN, 2014. "Determinants of exports intensity of industrial SMEs in Argentina," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 14(2).

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