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The Impact of Public R&D Investments on Patenting Activity: Technology Transfer at the U.S> Environmental Protection Agency

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  • Link, Albert

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

  • Morris, Cody

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

  • van Hasselt, Martijn

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

Abstract

This paper presents estimates of the impact of public R&D on patenting activity at the U.S. Environmental Protection Agency (EPA). Using a time series of public sector agency data, we estimate the per-capita R&D elasticity of new patent applications using a knowledge production function framework model that is an expanded version of what other scholars have used with private sector data. New patent applications are an important step in the technology transfer activities of a federal agency. We estimate this elasticity to be about 2.0. This elasticity value represents an initial estimate of the impact of EPA’s R&D investments on its technology transfer activity.

Suggested Citation

  • Link, Albert & Morris, Cody & van Hasselt, Martijn, 2018. "The Impact of Public R&D Investments on Patenting Activity: Technology Transfer at the U.S> Environmental Protection Agency," UNCG Economics Working Papers 18-8, University of North Carolina at Greensboro, Department of Economics.
  • Handle: RePEc:ris:uncgec:2018_008
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    1. Adam B. Jaffe & Michael S. Fogarty & Bruce A. Banks, 1998. "Evidence from Patents and Patent Citations on the Impact of NASA and Other Federal Labs on Commercial Innovation," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 183-205, June.
    2. White, Kenneth J, 1992. "The Durbin-Watson Test for Autocorrelation in Nonlinear Models," The Review of Economics and Statistics, MIT Press, vol. 74(2), pages 370-373, May.
    3. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    4. 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.
    5. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-280, May-June.
    6. Jaffe, Adam B & Lerner, Josh, 2001. "Reinventing Public R&D: Patent Policy and the Commercialization of National Laboratory Technologies," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 167-198, Spring.
    7. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    8. Leyden, Dennis Patrick & Link, Albert N., 2015. "Public Sector Entrepreneurship: U.S. Technology and Innovation Policy," OUP Catalogue, Oxford University Press, number 9780199313853.
    9. Link, Albert N. & Siegel, Donald S. & Van Fleet, David D., 2011. "Public science and public innovation: Assessing the relationship between patenting at U.S. National Laboratories and the Bayh-Dole Act," Research Policy, Elsevier, vol. 40(8), pages 1094-1099, October.
    10. 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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    Cited by:

    1. Dora Gicheva & Albert N. Link, 2022. "Public sector entrepreneurship, politics, and innovation," Small Business Economics, Springer, vol. 59(2), pages 565-572, August.
    2. Albert N. Link & Martijn Hasselt, 2020. "Exploring the impact of R&D on patenting activity in small women-owned and minority-owned entrepreneurial firms," Small Business Economics, Springer, vol. 54(4), pages 1061-1066, April.
    3. Albert N Link, 2021. "Knowledge Transfers from Federally Funded Research and Development Centers," Science and Public Policy, Oxford University Press, vol. 48(4), pages 576-581.
    4. María García-Vega & Óscar Vicente-Chirivella, 2020. "The effect of technology transfers from public research institutes and universities on firm innovativeness," Discussion Papers 2020-10, University of Nottingham, GEP.
    5. 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.
    6. David Bruce Audretsch & Maksim Belitski & Rosa Caiazza, 2021. "Start-ups, Innovation and Knowledge Spillovers," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1995-2016, December.
    7. Audretsch, David B. & Belitski, Maksim, 2020. "The role of R&D and knowledge spillovers in innovation and productivity," European Economic Review, Elsevier, vol. 123(C).
    8. Michael J. Hall, 2022. "New technology transfer metrics for the National Institute of Standards and Technology," The Journal of Technology Transfer, Springer, vol. 47(5), pages 1573-1583, October.

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    More about this item

    Keywords

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

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • O44 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Environment and Growth

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