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Learning by Doing vs Learning by Researching in a Model of Climate Change Policy Analysis

Author

Listed:
  • Marzio Galeotti

    (Università di Milano and Fondazione Eni Enrico Mattei)

  • Sergio Vergalli

    (Università di Padova and Fondazione Eni Enrico Mattei)

  • Efrem Castelnuovo

    (Università Bocconi and Fondazione Eni Enrico Mattei)

  • Gretel Gambarelli

    (Fondazione Eni Enrico Mattei)

Abstract

Many predictions and conclusions in climate change literature have been made on the basis of theoretical analyses and quantitative models that assume exogenous technological change. One may wonder if those policy prescriptions hold in the more realistic case of endogenously evolving technologies. In previous work we modified a popular integrated assessment model to allow for an explicit role of the stock of knowledge which accumulates through R&D investment. In our formulation knowledge affects the output production technology and the emission-output ratio. In this paper we make progress in our efforts aimed to model the process of technological change. In keeping with recent theories of endogenous growth, we specify two ways in which knowledge accumulates: via a deliberate, optimally selected R&D decision or via experience, giving rise to Learning by Doing. We simulate the model under the two versions of endogenous technical change and look at the dynamics of a number of relevant variables.

Suggested Citation

  • Marzio Galeotti & Sergio Vergalli & Efrem Castelnuovo & Gretel Gambarelli, 2003. "Learning by Doing vs Learning by Researching in a Model of Climate Change Policy Analysis," Working Papers 2003.11, Fondazione Eni Enrico Mattei.
    • Handle: RePEc:fem:femwpa:2003.11
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    References listed on IDEAS

    as
    1. Castelnuovo, Efrem & Galeotti, Marzio & Gambarelli, Gretel & Vergalli, Sergio, 2005. "Learning-by-Doing vs. Learning by Researching in a model of climate change policy analysis," Ecological Economics, Elsevier, vol. 54(2-3), pages 261-276, August.
    2. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    3. Francesco Bosello & Barbara Buchner & Carlo Carraro, 2003. "Equity, Development, and Climate Change Control," Journal of the European Economic Association, MIT Press, vol. 1(2-3), pages 601-611, 04/05.
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    5. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    6. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    7. Paolo Buonanno & Carlo Carraro & Efrem Castelnuovo & Marzio Galeotti, 2001. "Emission Trading Restrictions with Endogenous Technological Change," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 1(3), pages 379-395, July.
    8. Popp, David, 2004. "ENTICE: endogenous technological change in the DICE model of global warming," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 742-768, July.
    9. Zvi Griliches, 1984. "R&D, Patents, and Productivity," NBER Books, National Bureau of Economic Research, Inc, number gril84-1.
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    More about this item

    Keywords

    Climate Policy; Environmental Modeling; Integrated Assessment; Technical Change;
    All these keywords.

    JEL classification:

    • H0 - Public Economics - - General
    • H2 - Public Economics - - Taxation, Subsidies, and Revenue
    • H3 - Public Economics - - Fiscal Policies and Behavior of Economic Agents

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