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International Patent Pattern and Technology Diffusion

Author

Listed:
  • Kurt A. Hafner
Abstract
The paper focuses on the impact of business related R&D spending on input factor productivity (IFP) using international patent applications as a technology diffusion channel. Considering the relationship amongst research and productivity, international patent pattern reflect the link between the source (R&D) and the use (IFP). To estimate patent related spill-over effects, I use the estimation techniques developed and proposed by Kao and Chiang (1998) in order to deal with nonstationary and cointegration and to obtain reliable coefficients. I find that patent related foreign R&D spillover effects are present and that impact on labor productivity for Non-G7 countries is higher due to foreign than domestic R&D activities.

Suggested Citation

  • Kurt A. Hafner, 2005. "International Patent Pattern and Technology Diffusion," DEGIT Conference Papers c010_017, DEGIT, Dynamics, Economic Growth, and International Trade.
  • Handle: RePEc:deg:conpap:c010_017
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    File URL: http://degit.sam.sdu.dk/papers/degit_10/C010_017.pdf
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    References listed on IDEAS

    as
    1. Jonathan E. Haskel & Sonia C. Pereira & Matthew J. Slaughter, 2007. "Does Inward Foreign Direct Investment Boost the Productivity of Domestic Firms?," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 482-496, August.
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    8. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    9. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
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    12. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
    13. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    14. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 17-45, National Bureau of Economic Research, Inc.
    15. F. Funk, Mark, 2001. "International R&D Spillovers and Convergence Among OECD Countries," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 16, pages 48-65.
    16. Eaton, Jonathan & Kortum, Samuel, 1999. "International Technology Diffusion: Theory and Measurement," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(3), pages 537-570, August.
    17. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    18. Xu, Bin, 2000. "Trade, FDI, and International Technology Diffusion," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 15, pages 585-601.
    Full references (including those not matched with items on IDEAS)

    Citations

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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. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Alessandri, Enrico, 2023. "Identifying technological trajectories in the mining sector using patent citation networks," Resources Policy, Elsevier, vol. 80(C).
    10. 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.
    11. 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).
    12. Giuditta De Prato & Daniel Nepelski, 2012. "International patenting strategies in ICT," JRC Research Reports JRC79479, Joint Research Centre, revised Nov 2012.

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    More about this item

    Keywords

    Productivity; R&D; Technology Diffusion; Nonstationary Panels;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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

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