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R&D Expenditures and Economic Growth – International Comparison

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  • Rossitsa Rangelova

Abstract

In the new conditions of creating a knowledge-based economy the role of R&D expenditures strongly increases and changes in its character. This increases the interest in the matters of qualitative defining of the dependency between them and the economic growth. The study analyzes the connection between the R&D expenditures, including for human capital, and the lasting economic growth (GDP rate) for the EU countries, compared with USA. The specifics in the influence of these expenditures on the economic growth in these countries are outlined, special attention is drawn to Bulgaria.

Suggested Citation

  • Rossitsa Rangelova, 2007. "R&D Expenditures and Economic Growth – International Comparison," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 18-52.
  • Handle: RePEc:bas:econst:y:2007:i:4:p:18-52
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    References listed on IDEAS

    as
    1. Segerstrom, Paul S, 1991. "Innovation, Imitation, and Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 99(4), pages 807-827, August.
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    Cited by:

    1. Irena Zareva, 2011. "The Development of Education and Science – An Important Way for Increasing the Influence of Small Countries in the EU. The Case of Bulgaria," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 161-172.

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    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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