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On the patterns and determinants of the global diffusion of new technologies

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  • Pulkki-Brännström, Anni-Maria
  • Stoneman, Paul

Abstract

Taking a largely empirical approach this paper addresses the global spread of new technologies by defining two diffusion margins – the extensive, referring to the spreading of first use across economies and the intensive, referring to the intensity of use within economies. Using data relating to mail services we indicate the relative importance of the intensive and extensive margins in global diffusion over time. Using data on steamships and the basic oxygen process for steelmaking we also explore whether there are international spillovers in the diffusion process. We find evidence of spillovers which appear more likely to be negative than positive.

Suggested Citation

  • Pulkki-Brännström, Anni-Maria & Stoneman, Paul, 2013. "On the patterns and determinants of the global diffusion of new technologies," Research Policy, Elsevier, vol. 42(10), pages 1768-1779.
  • Handle: RePEc:eee:respol:v:42:y:2013:i:10:p:1768-1779
    DOI: 10.1016/j.respol.2013.08.011
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    References listed on IDEAS

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    1. Angel de la Fuente & Rafael Domenech, 2001. "Schooling Data, Technological Diffusion, and the Neoclassical Model," American Economic Review, American Economic Association, vol. 91(2), pages 323-327, May.
    2. Jennifer F. Reinganum, 1981. "On the Diffusion of New Technology: A Game Theoretic Approach," Review of Economic Studies, Oxford University Press, vol. 48(3), pages 395-405.
    3. Francesco Caselli & Wilbur John Coleman, 2001. "Cross-Country Technology Diffusion: The Case of Computers," American Economic Review, American Economic Association, vol. 91(2), pages 328-335, May.
    4. Ireland, N & Stoneman, P, 1986. "Technological Diffusion, Expectations and Welfare," Oxford Economic Papers, Oxford University Press, vol. 38(2), pages 283-304, July.
    5. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    6. V. Kumar & Trichy V. Krishnan, 2002. "Multinational Diffusion Models: An Alternative Framework," Marketing Science, INFORMS, vol. 21(3), pages 318-330, July.
    7. Feldman, Maryann P. & Kogler, Dieter F., 2010. "Stylized Facts in the Geography of Innovation," Handbook of the Economics of Innovation, Elsevier.
    8. Alessandro Nuvolari & Bart Verspagen & Nick von Tunzelmann, 2011. "The early diffusion of the steam engine in Britain, 1700–1800: a reappraisal," Cliometrica, Journal of Historical Economics and Econometric History, Association Française de Cliométrie (AFC), vol. 5(3), pages 291-321, October.
    9. Drew Fudenberg & Jean Tirole, 1985. "Preemption and Rent Equalization in the Adoption of New Technology," Review of Economic Studies, Oxford University Press, vol. 52(3), pages 383-401.
    10. Colombo, Massimo G & Mosconi, Rocco, 1995. "Complementarity and Cumulative Learning Effects in the Early Diffusion of Multiple Technologies," Journal of Industrial Economics, Wiley Blackwell, vol. 43(1), pages 13-48, March.
    11. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    12. Stoneman, Paul & Battisti, Giuliana, 2010. "The Diffusion of New Technology," Handbook of the Economics of Innovation, Elsevier.
    13. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    14. Sharon Oster, 1982. "The Diffusion of Innovation among Steel Firms: The Basic Oxygen Furnace," Bell Journal of Economics, The RAND Corporation, vol. 13(1), pages 45-56, Spring.
    15. Georg Götz, 1999. "Monopolistic Competition and the Diffusion of New Technology," RAND Journal of Economics, The RAND Corporation, vol. 30(4), pages 679-693, Winter.
    16. Massoud Karshenas & Paul L. Stoneman, 1993. "Rank, Stock, Order, and Epidemic Effects in the Diffusion of New Process Technologies: An Empirical Model," RAND Journal of Economics, The RAND Corporation, vol. 24(4), pages 503-528, Winter.
    17. Battisti, Giuliana & Stoneman, Paul, 2003. "Inter- and intra-firm effects in the diffusion of new process technology," Research Policy, Elsevier, vol. 32(9), pages 1641-1655, October.
    18. Harley, C. K., 1973. "On the Persistence of Old Techniques: The Case of North American Wooden Shipbuilding," The Journal of Economic History, Cambridge University Press, vol. 33(02), pages 372-398, June.
    19. Comin, D. & Hobijn, B., 2004. "Cross-country technology adoption: making the theories face the facts," Journal of Monetary Economics, Elsevier, vol. 51(1), pages 39-83, January.
    20. Gene M. Grossman & Elhanan Helpman, 1993. "Innovation and Growth in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262570971, January.
    21. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
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    Cited by:

    1. Bento, Nuno & Fontes, Margarida, 2015. "The construction of a new technological innovation system in a follower country: Wind energy in Portugal," Technological Forecasting and Social Change, Elsevier, vol. 99(C), pages 197-210.
    2. Cheng, Yu & Huang, Lucheng & Ramlogan, Ronnie & Li, Xin, 2017. "Forecasting of potential impacts of disruptive technology in promising technological areas: Elaborating the SIRS epidemic model in RFID technology," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 170-183.

    More about this item

    Keywords

    Innovation diffusion; International; Historical; Mail services; Steam ships; Basic oxygen;

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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