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Introduction: Invention Input-Output Analysis

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Author Info

  • 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.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 9 (1997)
Issue (Month): 2 ()
Pages: 149-160

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Handle: RePEc:taf:ecsysr:v:9:y:1997:i:2:p:149-160

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Related research

Keywords: Patents; Yale Technology Concordance; input-output data; R&D spillovers; total factor productivity;

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Cited by:
  1. Raa, T. ten & Wolff, E.N., 2000. "Engines of growth in the U.S. economy," Open Access publications from Tilburg University urn:nbn:nl:ui:12-85426, Tilburg University.
  2. Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
  3. Rosina Moreno & Raffaele Paci & Stefano Usai, 2005. "Spatial spillovers and innovation activity in European regions," Environment and Planning A, Pion Ltd, London, vol. 37(10), pages 1793-1812, October.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. F. M. Scherer, 2002. "Technology flows matrix estimation revisited," Working Papers 02-18, Federal Reserve Bank of Philadelphia.
  10. 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.
  11. 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).
  12. 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.

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