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The pattern of international patenting and technology diffusion

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  • Kurt Hafner

Abstract

The article focuses on the impact of R&D expenditure on labour productivity using international patent applications as a technology diffusion indicator. Considering the relationship between research and productivity, the pattern of international patenting reflects the channel between the source and the destination of transferred technology. Accounting for nonstationarity and cointegration, I find that patent-related foreign R&D spillovers are present for a panel of 18 OECD countries. Moreover, nonG7 OECD countries benefit more from foreign rather than domestic R&D activities. Estimates also show that there is no significant spillover effect from bilateral trade, but confirm the impact of FDI on domestic labour productivity.

Suggested Citation

  • Kurt Hafner, 2008. "The pattern of international patenting and technology diffusion," Applied Economics, Taylor & Francis Journals, vol. 40(21), pages 2819-2837.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:21:p:2819-2837
    DOI: 10.1080/00036840600981630
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    Cited by:

    1. Antonio Cubel & Vicente Esteve & Maria Teresa Sanchis & Juan A. Sanchis-Llopis, 2014. "The effect of foreign and domestic patents on total factor productivity during the second half of the 20th century," Working Papers 06/14, Instituto Universitario de Análisis Económico y Social.
    2. Kurt A. Hafner & Bernardí Cabrer Borrás, 2017. "Technology spillover effects within Spanish communities," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5614-5626, November.
    3. Wei Yang & Xiang Yu & Ben Zhang & Ziyang Huang, 2021. "Mapping the landscape of international technology diffusion (1994–2017): network analysis of transnational patents," The Journal of Technology Transfer, Springer, vol. 46(1), pages 138-171, February.
    4. Alessandri, Enrico, 2023. "Identifying technological trajectories in the mining sector using patent citation networks," Resources Policy, Elsevier, vol. 80(C).
    5. Lidan Jiang & Jingyan Chen & Yuhan Bao & Fang Zou, 2022. "Exploring the patterns of international technology diffusion in AI from the perspective of patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5307-5323, September.
    6. Giuditta De Prato & Daniel Nepelski, 2012. "International patenting strategies in ICT," JRC Research Reports JRC79479, Joint Research Centre, revised Nov 2012.
    7. Foster-McGregor, Neil & Nomaler, Onder & Verspagen, Bart, 2019. "Measuring the creation and adoption of new technologies using trade and patent data," MERIT Working Papers 2019-053, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    8. Alvina Sabah Idrees & Saima Sarwar, 2023. "Spatial convergence clubs and innovation persistence: a country-group comparison of international spatial spillover of innovation capabilities," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4121-4152, October.
    9. Daniel Nepelski & Giuditta De Prato, 2012. "Does the Patent Cooperation Treaty work? A global analysis of patent applications by non-residents," JRC Research Reports JRC79541, Joint Research Centre, revised Nov 2012.
    10. Kurt A. Hafner, 2010. "Wissens- und Technologietransfer – Formen und Vermittler in Bayern," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 63(06), pages 26-35, March.
    11. Tommaso Mancini-Griffoli & Laurent L. Pauwels, 2006. "Is There a Euro Effect on Trade? An Application of End-of-Sample Structural Break Tests for Panel Data," IHEID Working Papers 04-2006, Economics Section, The Graduate Institute of International Studies, revised Apr 2006.
    12. Alessandri, Enrico, 2021. "Identifying technological trajectories in the mining sector using patent citation networks," MERIT Working Papers 2021-048, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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