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R&D Spillovers through Student Flows, Institutions, and Economic Growth: What can we Learn from A frican Countries?

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  • Thanh Le

Abstract

Using modern panel cointegration estimation techniques, this paper examines whether tertiary student flows can effectively transmit technological knowledge from industrialized countries to African countries. The results obtained lend strong support to this hypothesis. In addition, this paper extends the analysis to include institutional variables such as the ease of doing business, legal origins, and religious majority in order to see if institutional characteristics affect the way knowledge diffusion affecting total factor productivity. However, it is not clear that institutional differences are important factors that influence the degree of R&D spillovers and, hence, the total factor productivity of African countries.
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  • Thanh Le, 2012. "R&D Spillovers through Student Flows, Institutions, and Economic Growth: What can we Learn from A frican Countries?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 59(1), pages 115-130, February.
  • Handle: RePEc:bla:scotjp:v:59:y:2012:i:1:p:115-130
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    1. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, pages 490-497.
    2. Bruno Van Pottelsberghe De La Potterie & Frank Lichtenberg, 2001. "Does Foreign Direct Investment Transfer Technology Across Borders?," The Review of Economics and Statistics, MIT Press, pages 490-497.
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    Cited by:

    1. Krammer, Sorin M.S., 2015. "Do good institutions enhance the effect of technological spillovers on productivity? Comparative evidence from developed and transition economies," Technological Forecasting and Social Change, Elsevier, pages 133-154.
    2. Krammer, Sorin M.S., 2015. "Do good institutions enhance the effect of technological spillovers on productivity? Comparative evidence from developed and transition economies," Technological Forecasting and Social Change, Elsevier, pages 133-154.

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