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An empirical note on international R&D spillovers

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  • Andrea Fracasso
  • Giuseppe Vittucci Marzetti
Abstract
Whether international R&D spillovers are global and trade-related is still a debated issue. By adopting two specifications that nest models previously estimated in the literature, we test the hypothesis that international R&D spillovers are global and trade-unrelated for a sample of OECD countries over the period 1971–2004. In particular, via a randomization exercise, we reject the null hypothesis of a “global pool of technology” and show that there are partitions of countries associated with relatively strong/weak knowledge spillovers. Then, we estimate a nonlinear specification that includes simultaneously geographical distance and international trade among the determinants of domestic TFP. We find robust evidence that both factors affect how foreign knowledge impacts on the domestic productivity of each recipient country. Copyright Springer-Verlag 2013

Suggested Citation

  • Andrea Fracasso & Giuseppe Vittucci Marzetti, 2013. "An empirical note on international R&D spillovers," Empirical Economics, Springer, vol. 45(1), pages 179-191, August.
    • Handle: RePEc:spr:empeco:v:45:y:2013:i:1:p:179-191
    DOI: 10.1007/s00181-012-0614-0
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    References listed on IDEAS

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    Cited by:

    1. Fracasso, Andrea & Vittucci Marzetti, Giuseppe, 2015. "International trade and R&D spillovers," Journal of International Economics, Elsevier, vol. 96(1), pages 138-149.
    2. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: an estimation strategy based on forecasting-driven model selection," Working Papers hal-03224910, HAL.
    3. Nonnis, Alberto & Bounfour, Ahmed & Kim, Keungoui, 2023. "Knowledge spillovers and intangible complementarities: Empirical case of European countries," Research Policy, Elsevier, vol. 52(1).
    4. Gioldasis, Georgios & Musolesi, Antonio & Simioni, Michel, 2023. "Interactive R&D spillovers: An estimation strategy based on forecasting-driven model selection," International Journal of Forecasting, Elsevier, vol. 39(1), pages 144-169.
    5. Georgios Gioldasis & Antonio Musolesi & Michel Simioni, 2021. "Interactive R&D Spillovers: An estimation strategy based on forecasting-driven model selection," SEEDS Working Papers 0621, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jun 2021.

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    More about this item

    Keywords

    International R&D spillovers; International technology diffusion; Localized knowledge spillovers; Total factor productivity; C23; F01; O30; O47;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F01 - International Economics - - General - - - Global Outlook
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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