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Technology Flows Between Industries: Identification and Productivity Effects


  • Wolfgang Keller


This paper investigates whether the Yale Technology Concordance (YTC) succeeds in identzbing technology flows between sectors. As a test, total factor productivity (TFP)-R&D regressions based on the YTC matrix are compared with regressions using technology flow data constructed fram input-output matrices and randomly created interindusty linkages. Because results based on the YTC do not dzffer markedly from the other estimates, one cannot easily infer @om the empirical evidence whether the YTC matrix appropriately captures interindusty technology flows or not.

Suggested Citation

  • Wolfgang Keller, 1997. "Technology Flows Between Industries: Identification and Productivity Effects," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 213-219.
  • Handle: RePEc:taf:ecsysr:v:9:y:1997:i:2:p:213-219 DOI: 10.1080/09535319700000015

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    Cited by:

    1. 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.
    2. Patrik Tingvall & Andreas Poldahl, 2012. "Determinants of Firm R&D: The Role of Relationship-Specific Interactions for R&D Spillovers," Journal of Industry, Competition and Trade, Springer, vol. 12(4), pages 395-411, December.
    3. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    4. Habi Yaremye, Alexis, 2008. "Economic Proximity and Technology Flows: South Africa?s Influence and the Role of Technological Interaction in Botswana?s Diversification Effort," WIDER Working Paper Series 092, World Institute for Development Economic Research (UNU-WIDER).
    5. Patrik Gustavsson Tingvall & Andreas Poldahl, 2006. "Is there really an inverted U-shaped relation between competition and R&D?," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(3), pages 101-118.
    6. Poldahl, Andreas, 2004. "Domestic vs. International Spillovers: Evidence from Swedish Firm Level Data," Working Paper Series 200, Trade Union Institute for Economic Research.
    7. 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.
    8. Andreas Poldahl, 2006. "Domestic vs. International Spillovers: Evidence from Swedish Firm Level Data," Journal of Industry, Competition and Trade, Springer, vol. 6(3), pages 277-294, December.
    9. 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.
    10. Blalock, Garrick & Veloso, Francisco M., 2007. "Imports, Productivity Growth, and Supply Chain Learning," World Development, Elsevier, vol. 35(7), pages 1134-1151, July.
    11. Gong, Guan & Keller, Wolfgang, 2003. "Convergence and polarization in global income levels: a review of recent results on the role of international technology diffusion," Research Policy, Elsevier, vol. 32(6), pages 1055-1079, June.


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