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The International Dynamics of R&D and Innovation in the Short and in the Long Run

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  • Laura Bottazzi
  • Giovanni Peri

Abstract

In this paper we estimate the dynamic relationship between employment in R&D and generation of knowledge as measured by patent applications across OECD countries. In several recently developed models, known as `idea-based' models of growth, the afore mentioned "idea-generating" process is the engine of productivity growth. Moreover, in real business cycle models technological shocks are an important source of fluctuations. Our empirical strategy is able to test whether knowledge spillovers are strong enough to generate sustained endogenous growth and to estimate the quantitative impact of international knowledge on technological innovation of a country in the short and in the long run. We find that a country's stock of knowledge, its R&D resources and the stock of international knowledge move together in the long run. International knowledge has a very significant impact on innovation. As a consequence, a positive shock to R&D in the US (the largest world innovator) has a significant positive effect on the innovation of all other countries. Such a shock produces its largest effect on domestic and international innovation after five to ten years from its occurrence.

Suggested Citation

  • Laura Bottazzi & Giovanni Peri, 2005. "The International Dynamics of R&D and Innovation in the Short and in the Long Run," NBER Working Papers 11524, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:11524
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    Cited by:

    1. Weinhold, Diana & Nair-Reichert, Usha, 2009. "Innovation, Inequality and Intellectual Property Rights," World Development, Elsevier, vol. 37(5), pages 889-901, May.
    2. Maria Cipollina & Giorgia Giovannetti & Filomena Pietrovito & Alberto F. Pozzolo, 2012. "FDI and Growth: What Cross-country Industry Data Say," The World Economy, Wiley Blackwell, vol. 35(11), pages 1599-1629, November.
    3. Agénor, Pierre-Richard & Neanidis, Kyriakos C., 2015. "Innovation, public capital, and growth," Journal of Macroeconomics, Elsevier, vol. 44(C), pages 252-275.
    4. Francesco VENTURINI, 2008. "Information Technology, Research & Development, or Both? What Really Drives A Nation's Productivity," Working Papers 321, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    5. Francesco Venturini, 2009. "The long-run impact of ICT," Empirical Economics, Springer, vol. 37(3), pages 497-515, December.
    6. Venturini, Francesco, 2012. "Looking into the black box of Schumpeterian growth theories: An empirical assessment of R&D races," European Economic Review, Elsevier, vol. 56(8), pages 1530-1545.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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