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Induced innovation in a decentralized model of climate change

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Abstract

We propose a model of climate change consistent with four principal stylized facts. First, the benefits and costs of climate change mitigation policies are not evenly distributed across generations. Second, capital accumulation is not determined jointly with emissions policy, but rather as a choice made by self-interested economic agents. Third, most research and development activity in the energy sector is undertaken by private firms. Fourth, significant imperfections exist in the market for technology. The model is calibrated to match global trends in GWP, energy production, and investment in research and development, and is used for the evaluation of policies including research and development subsidies and carbon taxes.

Suggested Citation

  • Jérémy Laurent-Lucchetti & Andrew Leach, 2006. "Induced innovation in a decentralized model of climate change," Cahiers de recherche 06-02, HEC Montréal, Institut d'économie appliquée.
  • Handle: RePEc:iea:carech:0602
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    File URL: http://www.hec.ca/iea/cahiers/2006/iea0602_aleach.pdf
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    References listed on IDEAS

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    1. 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.
    2. Pizer, William A., 1999. "The optimal choice of climate change policy in the presence of uncertainty," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 255-287, August.
    3. Reyer Gerlagh, 2003. "Induced Technological Change under Technology Competition," Working Papers 2003.5, Fondazione Eni Enrico Mattei.
    4. Gerlagh, Reyer & Lise, Wietze, 2005. "Carbon taxes: A drop in the ocean, or a drop that erodes the stone? The effect of carbon taxes on technological change," Ecological Economics, Elsevier, vol. 54(2-3), pages 241-260, August.
    5. David Popp, 2004. "ENTICE-BR: The Effects of Backstop Technology R&D on Climate Policy Models," NBER Working Papers 10285, National Bureau of Economic Research, Inc.
    6. Gerlagh, Reyer & van der Zwaan, Bob, 2003. "Gross world product and consumption in a global warming model with endogenous technological change," Resource and Energy Economics, Elsevier, vol. 25(1), pages 35-57, February.
    7. Buonanno, Paolo & Carraro, Carlo & Galeotti, Marzio, 2003. "Endogenous induced technical change and the costs of Kyoto," Resource and Energy Economics, Elsevier, vol. 25(1), pages 11-34, February.
    8. Narayana R. Kocherlakota, 1996. "The Equity Premium: It's Still a Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(1), pages 42-71, March.
    9. Leach, Andrew J., 2009. "The welfare implications of climate change policy," Journal of Environmental Economics and Management, Elsevier, vol. 57(2), pages 151-165, March.
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    Cited by:

    1. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2007. "Innovation Markets in the Policy Appraisal of Climate Change Mitigation," IDEI Working Papers 481, Institut d'Économie Industrielle (IDEI), Toulouse.
    2. Grimaud, André & Lafforgue, Gilles & Magné, Bertrand, 2008. "Decentralized Equilibrium Analysis in a Growth Model with Directed Technical Change and Climate Change Mitigation," IDEI Working Papers 537, Institut d'Économie Industrielle (IDEI), Toulouse.
    3. GRIMAUD André & LAFFORGUE Gilles & MAGNE Bertrand, 2007. "Economic growth and Climate change in a decentralized Economy: A Theoretical and Empirical Approach," LERNA Working Papers 07.04.225, LERNA, University of Toulouse.

    More about this item

    Keywords

    Alternative energy sources; climate change; technological change; research and development; induced innovation.;

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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