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Innovation and Invention in Canada

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  • Daniel Johnson
  • Robert Evenson

Abstract

This paper compares innovation survey data with invention data as recorded by patents (and, therefore, the basis of the Yale Technology Concordance), presenting input-output tables for both data sets. We describe and compare the intersec-toral flows of technology from the industry of manufacture (IOM) to the sector of use (SOU); compare patent-to-innovation ratios by industry; and present correlations between innovation, invention and R&D by industy. One significant conclusion is that, while innovation and invention data are highly correlated in the IOM, they diverge on the SOU, especially in certain key industries that we identify.

Suggested Citation

  • Daniel Johnson & Robert Evenson, 1997. "Innovation and Invention in Canada," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 177-192.
    • Handle: RePEc:taf:ecsysr:v:9:y:1997:i:2:p:177-192
    DOI: 10.1080/09535319700000012
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    References listed on IDEAS

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    1. Scherer, F. M., 1983. "The propensity to patent," International Journal of Industrial Organization, Elsevier, vol. 1(1), pages 107-128, March.
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    Cited by:

    1. Shi, Guanming & Pray, Carl E. & Zhang, Wenhui, 2012. "Effectiveness of Intellectual Property Protection: Survey Evidence from China," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-12, December.
    2. onder Nomaler & Bart Verspagen, 2008. "Knowledge Flows, Patent Citations and the Impact of Science on Technology," Economic Systems Research, Taylor & Francis Journals, vol. 20(4), pages 339-366.
    3. Frederic Scherer, 2003. "Technology Flows Matrix Estimation Revisited," Economic Systems Research, Taylor & Francis Journals, vol. 15(3), pages 327-358.
    4. Baldi, Lucia & Casati, Dario, 2005. "Induced Innovation in Italy: An Error Correction Model for the Period 1968-2002," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24590, European Association of Agricultural Economists.
    5. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    6. 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.
    7. Francisco Mas-Verdú & Anthony Wensley & Martin Alba & José García Álvarez-Coque, 2011. "How much does KIBS contribute to the generation and diffusion of innovation?," Service Business, Springer;Pan-Pacific Business Association, vol. 5(3), pages 195-212, September.
    8. Raphael Auer & Philip Sauré, 2011. "Spatial Competition in Quality, Demand-Induced Innovation, and Schumpeterian Growth," Working Papers 11.04, Swiss National Bank, Study Center Gerzensee.
    9. Fernández Vázquez, Esteban & Los, Bart, 2007. "A Maximum Entropy Approach to the Indenitication of Productive Technology Spillovers," Discussion Papers 1106, The Research Institute of the Finnish Economy.
    10. Rouvinen, Petri, 1999. "Characteristics of Product and Process Innovators among Finnish Manufacturing Firms," Discussion Papers 690, The Research Institute of the Finnish Economy.
    11. María Tugores & Elisabeth Valle, 2016. "Innovation, hotel occupancy, and regional growth," Tourism Economics, , vol. 22(4), pages 749-762, August.
    12. 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.
    13. David Schimmelpfennig & Colin Thirtle, 1999. "The Internationalization Of Agricultural Technology: Patents, R&D Spillovers, And Their Effects On Productivity In The European Union And United States," Contemporary Economic Policy, Western Economic Association International, vol. 17(4), pages 457-468, October.

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