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A non-parametric approach to innovation gaps and economic growth

Author

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  • J. R. Perilla Jimenez

    (Maastricht University & University of Groningen, Netherlands.)

Abstract

A non-parametric approach based on DEA techniques is used to dis- entangle the relationship between innovation growth and per-capita GDP growth in a sample of 30 countries during 1996-2008. The decomposition of GDP-growth brings support to the notion of advantage of backward- ness. It leads to conclude that, in the context of innovation, both the process of catching-up and technological change play an important explanation of the dynamics of economic growth. This is in sharp contrast to alternative evidence that brings more support to the importance of capital deepening in explaining labour growth productivity.

Suggested Citation

  • J. R. Perilla Jimenez, 2015. "A non-parametric approach to innovation gaps and economic growth," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 3(5), pages 63-69, October.
  • Handle: RePEc:lrc:lareco:v:3:y:2015:i:5:p:63-69
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    More about this item

    Keywords

    Economic growth; Innovation gaps; Non-parametric approach.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • O43 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Institutions and Growth

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