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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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    Cited by:

    1. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute of Labor Economics (IZA).
    2. 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.
    3. 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.
    4. Diego Comin & Bart Hobijn & Emilie Rovito, 2008. "Technology usage lags," Journal of Economic Growth, Springer, vol. 13(4), pages 237-256, December.
    5. Ferraro, Domenico, 2017. "Volatility and slow technology diffusion," European Economic Review, Elsevier, vol. 96(C), pages 18-37.
    6. 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.
    7. Comin, Diego & Mestieri, Martí, 2014. "Technology Diffusion: Measurement, Causes, and Consequences," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 2, pages 565-622, Elsevier.
    8. Garicano, Luis & Rossi-Hansberg, Esteban, 2012. "Organizing growth," Journal of Economic Theory, Elsevier, vol. 147(2), pages 623-656.
    9. Navas-Ruiz, Antonio & Sala, Davide, 2007. "Technology adoption and the selection effect of trade," UC3M Working papers. Economics we076737, Universidad Carlos III de Madrid. Departamento de Economía.
    10. 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.
    11. 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.
    12. Diego A. Comin & Jonathan S. Skinner & Douglas O. Staiger, 2022. "Overconfidence and Technology Adoption in Health Care," NBER Working Papers 30345, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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