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International R&D spillovers and manufacturing productivity: A panel data analysis

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  • López-Pueyo, Carmen
  • Barcenilla-Visús, Sara
  • Sanaú, Jaime

Abstract

This paper analyses the long-run influence of domestic and foreign technological capital on countries' manufacturing TFP. The calculation of the TFP has been carried out by applying specific unit value ratios, adjusting the value added of each individual (sector-country) in order to take into account the unsynchronized business cycles across countries, using hedonic price indices and estimating labour shares. To measure the technological externalities, we have applied alternative weightings with the aim of considering the influence of the country of origin of the externalities and of the intensity of the relationships maintained. Another aspect to highlight is the application of estimation procedures and tests of unit roots and of cointegration that are adequate for the panel of data and that permit the presentation of non-biased estimations. Finally, empirical evidence is presented about the different patterns of spillovers of the industrial sectors grouped according to their technological intensities.

Suggested Citation

  • López-Pueyo, Carmen & Barcenilla-Visús, Sara & Sanaú, Jaime, 2008. "International R&D spillovers and manufacturing productivity: A panel data analysis," Structural Change and Economic Dynamics, Elsevier, vol. 19(2), pages 152-172, June.
  • Handle: RePEc:eee:streco:v:19:y:2008:i:2:p:152-172
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    Cited by:

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    3. Duan, Yunlong & Liu, Shuling & Cheng, Hao & Chin, Tachia & Luo, Xuan, 2021. "The moderating effect of absorptive capacity on transnational knowledge spillover and the innovation quality of high-tech industries in host countries: Evidence from the Chinese manufacturing industry," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Miremadi, I. & Saboohi, Y. & Arasti, M., 2019. "The influence of public R&D and knowledge spillovers on the development of renewable energy sources: The case of the Nordic countries," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 450-463.
    5. Mitze, Timo & Naveed, Amjad & Ahmad, Nisar, 2016. "International, intersectoral, or unobservable? Measuring R&D spillovers under weak and strong cross-sectional dependence," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 259-272.

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