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The Diffusion Of Multiple Technologies: An Empirical Study

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  • Paul Stoneman
  • Otto Toivanen

Abstract

The simultaneous diffusion of several technologies is studied. We build a modcl that encompasses recent theoretical arguments on diffusion and cxtend these to the multipie technologies case. The model is estimated using a panel of data on UK manufacturing industries relating to the diffusion of five technologies: Computer Numerically Controlled machine tools, Numerically Controlled machine tools. coated carbide tools, computers and microprocessors. We find mixed evidence on a stock effect and some support for an epidemic effect but less than in earlier studies. We are unable to and empirical support for order effects or expectational variables. Our results show that technological and strategic interdependencies between individual technologies do afect thc diffusion path.

Suggested Citation

  • Paul Stoneman & Otto Toivanen, 1997. "The Diffusion Of Multiple Technologies: An Empirical Study," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 5(1), pages 1-17.
  • Handle: RePEc:taf:ecinnt:v:5:y:1997:i:1:p:1-17
    DOI: 10.1080/10438599700000005
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    References listed on IDEAS

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    1. Laura D'Andrea Tyson, 1992. "Who's Bashing Whom? Trade Conflict in High-Technology Industries," Peterson Institute Press: All Books, Peterson Institute for International Economics, number 86.
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    Cited by:

    1. Spyros Arvanitis & Marius Ley, 2013. "Factors Determining the Adoption of Energy-Saving Technologies in Swiss Firms: An Analysis Based on Micro Data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 54(3), pages 389-417, March.
    2. Stoneman, Paul & Battisti, Giuliana, 2010. "The Diffusion of New Technology," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 733-760, Elsevier.
    3. Nicholas Oulton, 2002. "ICT and Productivity Growth in the United Kingdom," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 18(3), pages 363-379.
    4. JongRoul Woo & Christopher L. Magee, 2017. "Exploring the relationship between technological improvement and innovation diffusion: An empirical test," Papers 1704.03597, arXiv.org, revised May 2018.
    5. Garth Heutel & Erich Muehlegger, 2015. "Consumer Learning and Hybrid Vehicle Adoption," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(1), pages 125-161, September.
    6. A. Canepa & P. Stoneman, 2004. "Comparative international diffusion: Patterns, determinants and policies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 13(3), pages 279-298.
    7. Gbêtondji Melaine Armel Nonvide, 2021. "Adoption of agricultural technologies among rice farmers in Benin," Review of Development Economics, Wiley Blackwell, vol. 25(4), pages 2372-2390, November.
    8. Bourke, Jane & Roper, Stephen, 2014. "The influence of experiential learning on medical equipment adoption in general practices," Health Policy, Elsevier, vol. 118(1), pages 37-47.
    9. Cristiano Antonelli, 2006. "Diffusion as a Process of Creative Adoption," The Journal of Technology Transfer, Springer, vol. 31(2), pages 211-226, March.
    10. Spyros Arvanitis & Marius Christian Ley, 2010. "Factors Determining the Adoption of Energy-saving Technologies in Swiss Firms," KOF Working papers 10-257, KOF Swiss Economic Institute, ETH Zurich.
    11. Ana Faria & Paul Fenn & Alistair Bruce, 2002. "Determinants of adoption of flexible production technologies: Evidence from portuguese manufacturing industry," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 11(6), pages 569-580.
    12. David Popp, 2006. "Exploring Links Between Innovation and Diffusion: Adoption of NOx Control Technologies at U.S. Coal-Fired Power Plants," NBER Working Papers 12119, National Bureau of Economic Research, Inc.
    13. Bonilla, Jorge & Coria, Jessica & Mohlin, Kristina & Sterner, Thomas, 2014. "Diffusion of NOx abatement technologies in Sweden," Working Papers in Economics 585, University of Gothenburg, Department of Economics.
    14. Jane Bourke & Stephen Roper, 2012. "In with the new: the determinants of prescribing innovation by general practitioners in Ireland," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 13(4), pages 393-407, August.
    15. Battisti, Giuliana & Stoneman, Paul, 2005. "The intra-firm diffusion of new process technologies," International Journal of Industrial Organization, Elsevier, vol. 23(1-2), pages 1-22, February.
    16. Bourke, Jane & Roper, Stephen, 2016. "AMT adoption and innovation: An investigation of dynamic and complementary effects," Technovation, Elsevier, vol. 55, pages 42-55.
    17. David Popp, 2010. "Exploring Links Between Innovation and Diffusion: Adoption of NO X Control Technologies at US Coal-fired Power Plants," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(3), pages 319-352, March.

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    More about this item

    Keywords

    diffusion; hilzard exitnation; multiple technologies JEL classification: L13; O33;
    All these keywords.

    JEL classification:

    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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