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Implementing Technology

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  • Diego Comin
  • Bart Hobijn

Abstract

We introduce a tractable model of endogenous growth in which the returns to innovation are determined by the technology adoption decisions of the users of new technologies. Technology adoption involves an implementation investment that determines the initial productivity of a new technology. After implementation, learning increases the productivity of a technology to its full potential. In this framework, implementation enhances growth, while growth increases obsolescence and reduces implementation. In a calibrated version of our model, the optimal policy involves a subsidy to capital and to implementation and a R&D tax. This policy would lead to a welfare improvement of 7.6 percent. Out of steady-state analysis yields that the transitional dynamics of the detrended variables after a shock to capital are very similar to the dynamics of the neoclassical growth model, but transitory shocks have permanent effects on the level of productivity.

Suggested Citation

  • Diego Comin & Bart Hobijn, 2007. "Implementing Technology," NBER Working Papers 12886, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:12886
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    References listed on IDEAS

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    1. Erik Brynjolfsson & Loren Hitt & Shinkyu Yang, 2002. "Intangible Assets: How the Interaction of Computers and Organizational Structure Affects Stock Market Valuations," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(1), pages 137-198.
    2. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
    3. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    4. Susanto Basu & David N. Weil, 1998. "Appropriate Technology and Growth," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1025-1054.
    5. Carol A. Corrado & Charles R. Hulten & Daniel E. Sichel, 2006. "Intangible Capital and Economic Growth," NBER Working Papers 11948, National Bureau of Economic Research, Inc.
    6. Jones, Charles I & Williams, John C, 2000. "Too Much of a Good Thing? The Economics of Investment in R&D," Journal of Economic Growth, Springer, vol. 5(1), pages 65-85, March.
    7. Jovanovic, Boyan & MacDonald, Glenn M, 1994. "Competitive Diffusion," Journal of Political Economy, University of Chicago Press, vol. 102(1), pages 24-52, February.
    8. Daron Acemoglu & Fabrizio Zilibotti, 2001. "Productivity Differences," The Quarterly Journal of Economics, Oxford University Press, vol. 116(2), pages 563-606.
    9. P.-L. Dubois & A. Jolibert, 2005. "Le marketing," Post-Print halshs-00095259, HAL.
    10. Diego Comin & Mark Gertler, 2006. "Medium-Term Business Cycles," American Economic Review, American Economic Association, vol. 96(3), pages 523-551, June.
    11. Prescott, Edward C, 1998. "Needed: A Theory of Total Factor Productivity," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 525-551, August.
    12. Jaume Ventura & Francesco Caselli, 2000. "A Representative Consumer Theory of Distribution," American Economic Review, American Economic Association, vol. 90(4), pages 909-926, September.
    13. Charles I. Jones & John C. Williams, 1998. "Measuring the Social Return to R&D," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1119-1135.
    14. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-583, August.
    15. Elias Dinopoulos & Douglas Waldo, 2005. "Gradual Product Replacement, Intangible-Asset Prices and Schumpeterian Growth," Journal of Economic Growth, Springer, vol. 10(2), pages 135-157, June.
    16. Comin, D., 2000. "An Uncertainty-Driven Theory of the Productivity Slowdown: Manufacturing," Working Papers 00-16, C.V. Starr Center for Applied Economics, New York University.
    17. Parente, Stephen L & Prescott, Edward C, 1994. "Barriers to Technology Adoption and Development," Journal of Political Economy, University of Chicago Press, vol. 102(2), pages 298-321, April.
    18. Reinganum, Jennifer F., 1989. "The timing of innovation: Research, development, and diffusion," Handbook of Industrial Organization,in: R. Schmalensee & R. Willig (ed.), Handbook of Industrial Organization, edition 1, volume 1, chapter 14, pages 849-908 Elsevier.
    19. Jan Eeckhout & Boyan Jovanovic, 2002. "Knowledge Spillovers and Inequality," American Economic Review, American Economic Association, vol. 92(5), pages 1290-1307, December.
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    Citations

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    Cited by:

    1. Garicano, Luis & Rossi-Hansberg, Esteban, 2012. "Organizing growth," Journal of Economic Theory, Elsevier, vol. 147(2), pages 623-656.
    2. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute for the Study of Labor (IZA).
    3. Antonio Navas-Ruiz & Davide Sala, 2007. "Technology Adoption and the Selection Effect of Trade," Economics Working Papers ECO2007/58, European University Institute.
    4. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth,in: Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622 Elsevier.
    5. Antonio Navas & Davide Sala, 2015. "Innovation and Trade Policy Coordination: The Role of Firm Heterogeneity," The World Economy, Wiley Blackwell, vol. 38(8), pages 1205-1224, August.
    6. Diego Comin & Bart Hobijn, 2011. "Technology Diffusion and Postwar Growth," NBER Chapters,in: NBER Macroeconomics Annual 2010, Volume 25, pages 209-246 National Bureau of Economic Research, Inc.
    7. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "A new approach to measuring technology with an application to the shape of the diffusion curves," The Journal of Technology Transfer, Springer, vol. 33(2), pages 187-207, April.
    8. Cliff Waldman, 2016. "The Evolving Contours of Productivity Performance and Automation Investment in U.S. Manufacturing," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 213-238, October.
    9. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "Technology usage lags," Journal of Economic Growth, Springer, vol. 13(4), pages 237-256, December.
    10. repec:eee:eecrev:v:96:y:2017:i:c:p:18-37 is not listed on IDEAS
    11. Steven Cassou & Emanuel Xavier de Oliveira, 2011. "Barriers to technological adoption in Spain and Portugal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(3), pages 189-209, December.

    More about this item

    JEL classification:

    • O0 - Economic Development, Innovation, Technological Change, and Growth - - General
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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