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Introduction: Invention Input-Output Analysis

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  • Robert Evenson
  • Daniel Johnson

Abstract

The papers in this issue are directed towards the development of invention input-output (I(IO)) coefficients. They discuss the procedures for creating I(IO) coefficients using the Yale Technology Concordance, which assigns patented inventions to the industry of manufacture and sector of use, utilizing the International Patent Class system. Tests of reliability of the I(Io) coefficients and their use in economic studies are reported.

Suggested Citation

  • Robert Evenson & Daniel Johnson, 1997. "Introduction: Invention Input-Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 149-160.
    • Handle: RePEc:taf:ecsysr:v:9:y:1997:i:2:p:149-160
    DOI: 10.1080/09535319700000010
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    References listed on IDEAS

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    1. repec:fth:harver:1473 is not listed on IDEAS
    2. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Yucan Liu & C. Richard Shumway, 2009. "Induced Innovation in U.S. Agriculture: Time-series, Direct Econometric, and Nonparametric Tests," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 224-236.
    2. Yucan Liu & C. Richard Shumway & Robert Rosenman & Virgil Eldon Ball, 2011. "Productivity growth and convergence in US agriculture: new cointegration panel data results," Applied Economics, Taylor & Francis Journals, vol. 43(1), pages 91-102.
    3. Antonelli Cristiano & Gehringer Agnieszka, 2013. "Demand pull and technological flows within innovation systems: the intra-European evidence," Department of Economics and Statistics Cognetti de Martiis. Working Papers 201303, University of Turin.
    4. Hu, Albert Guangzhou, 2010. "Propensity to patent, competition and China's foreign patenting surge," Research Policy, Elsevier, vol. 39(7), pages 985-993, September.
    5. Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
    6. Rainer Vosskamp, 1999. "Innovation, Market Structure and the Structure of the Economy: a micro-to-macro model," Economic Systems Research, Taylor & Francis Journals, vol. 11(3), pages 213-232.
    7. Shih-tse Lo & Dhanoos Sutthiphisal, 2009. "Does it Matter Who Has the Right to Patent: First-to-invent or First-to-file? Lessons From Canada," NBER Working Papers 14926, National Bureau of Economic Research, Inc.
    8. Tokgoz, Simla, 2003. "R&D Spillovers In Agriculture: Results From A North-South Trade Model," 2003 Annual meeting, July 27-30, Montreal, Canada 22258, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    9. Adams, Pamela & Fontana, Roberto & Malerba, Franco, 2013. "The magnitude of innovation by demand in a sectoral system: The role of industrial users in semiconductors," Research Policy, Elsevier, vol. 42(1), pages 1-14.
    10. Roberto ESPOSTI, 2000. "Public R&D Design and Technological Spill-Ins. A Dynamic Model," Working Papers 136, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    11. Daniel K. N. Johnson & Robert E. Evenson, 1999. "R&D Spillovers To Agriculture: Measurement And Application," Contemporary Economic Policy, Western Economic Association International, vol. 17(4), pages 432-456, October.
    12. ten Raa, Thijs & Wolff, Edward N., 2000. "Engines of growth in the US economy," Structural Change and Economic Dynamics, Elsevier, vol. 11(4), pages 473-489, December.
    13. Rosina Moreno & Raffaele Paci & Stefano Usai, 2005. "Spatial Spillovers and Innovation Activity in European Regions," Environment and Planning A, , vol. 37(10), pages 1793-1812, October.
    14. F. M. Scherer, 2002. "Technology flows matrix estimation revisited," Working Papers 02-18, Federal Reserve Bank of Philadelphia.
    15. Roberto Esposti, 2000. "Stochastic Technical Change and Procyclical TFP The Case of Italian Agriculture," Journal of Productivity Analysis, Springer, vol. 14(2), pages 119-141, September.
    16. Sulser, T. B. & Duryea, M. L. & Frolich, L. M. & Guevara-Cuaspud, E., 2001. "A field practical approach for assessing biophysical sustainability of alternative agricultural systems," Agricultural Systems, Elsevier, vol. 68(2), pages 113-135, May.
    17. Esposti, Roberto, 2002. "Public agricultural R&D design and technological spill-ins: A dynamic model," Research Policy, Elsevier, vol. 31(5), pages 693-717, July.
    18. Sansi Yang & C. Richard Shumway, 2020. "Knowledge accumulation in US agriculture: research and learning by doing," Journal of Productivity Analysis, Springer, vol. 54(2), pages 87-105, December.

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