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A Public Sector Knowledge Production Function

Author

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  • Link, Albert

    (University of North Carolina at Greensboro, Department of Economics)

  • van Hasselt, Martijn

    (University of North Carolina at Greensboro, Department of Economics)

Abstract

There are no studies of the R&D-to-patenting relationship at the federal agency level. We estimate a public sector knowledge production function using federal agency patent application data over the years 2003 through 2014. We find that the patent application elasticity with respect to per capita R&D spending is about 1.06. This measure might be interpreted as one dimension of the social returns to public sector R&D generated through newly created knowledge.

Suggested Citation

  • Link, Albert & van Hasselt, Martijn, 2019. "A Public Sector Knowledge Production Function," UNCG Economics Working Papers 19-3, University of North Carolina at Greensboro, Department of Economics.
    • Handle: RePEc:ris:uncgec:2019_003
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    References listed on IDEAS

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    1. Czarnitzki, Dirk & Kraft, Kornelius & Thorwarth, Susanne, 2009. "The knowledge production of 'R' and 'D'," Economics Letters, Elsevier, vol. 105(1), pages 141-143, October.
    2. Seung Ki Moon & Xiaomeng Chang & Janis Terpenny & Timothy W. Simpson & Soundar R. T. Kumara, 2009. "Towards a Knowledge Support System for Product Family Design," World Scientific Book Chapters, in: Frank T Piller & Mitchell M Tseng (ed.), Handbook of Research in Mass Customization and Personalization (In 2 Volumes), chapter 16, pages 297-318, World Scientific Publishing Co. Pte. Ltd..
    3. Hall, Bronwyn H & Ziedonis, Rosemarie Ham, 2001. "The Patent Paradox Revisited: An Empirical Study of Patenting in the U.S. Semiconductor Industry, 1979-1995," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 101-128, Spring.
    4. Bronwyn H. Hall & Dietmar Harhoff, 2012. "Recent Research on the Economics of Patents," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 541-565, July.
    5. 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.
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    Citations

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    Cited by:

    1. Kalaj, Jozefina & Rogger, Daniel & Somani, Ravi, 2022. "Bureaucrat time-use: Evidence from a survey experiment," World Development, Elsevier, vol. 152(C).
    2. Nobuya Fukugawa, 2019. "Determinants and impacts of public agricultural research: product-level evidence from agricultural Kohsetsushi in Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(3), pages 1475-1498, September.
    3. Albert N. Link & John T. Scott, 2021. "Scientific publications at U.S. federal research laboratories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2227-2248, March.
    4. Albert N. Link & John T. Scott, 2019. "The economic benefits of technology transfer from U.S. federal laboratories," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1416-1426, October.
    5. Ainagul T. Mamyralieva & Aziza B. Karbekova & Gulchehra B. Abdyrahmanova, 2022. "Analysis of the economic sectors? sustainability of the Kyrgyz Republic," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(2), pages 185-204.

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    More about this item

    Keywords

    Patents; R&D; Knowledge production function; Technology transfer;
    All these keywords.

    JEL classification:

    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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