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Are North-South Technological Spillovers Substantial? : A Dynamic Panel Data Model Estimation

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  • Wamae, Watu

    (CEDERS, Faculté des Sciences Economique et Gestion, Université de la Méditerranée)

Abstract

This paper argues that actual technological spillovers are not substantial in developing countries because of the absence of an absorptive capacity. We carry out a panel data analysis in an attempt to gain insight into the specific aspects that enable economies to benefit from the backlog of existing knowledge. Our findings indicate that low productivity effects of human capital coupled with weak or virtually inexistent systems of innovation are at the root of the observed ambiguity with regard to the spillovers gains that are expected to play a significant role in sparking growth.

Suggested Citation

  • Wamae, Watu, 2006. "Are North-South Technological Spillovers Substantial? : A Dynamic Panel Data Model Estimation," MERIT Working Papers 2006-023, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    • Handle: RePEc:unm:unumer:2006023
    as

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    File URL: https://unu-merit.nl/publications/wppdf/2006/wp2006-023.pdf
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    References listed on IDEAS

    as
    1. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    2. Bloom, David E. & Canning, David & Sevilla, Jaypee, 2004. "The Effect of Health on Economic Growth: A Production Function Approach," World Development, Elsevier, vol. 32(1), pages 1-13, January.
    3. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, vol. 34(2), pages 143-173, October.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    absorptive capacity; spillovers; developing countries; systems of innovation;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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