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The Optimal Climate Policy Portfolio when Knowledge Spills Across Sectors


  • Emanuele Massetti

    (Fondazione Eni Enrico Mattei and Euro-Mediterranean Center for Climate Change)

  • Lea Nicita

    (Fondazione Eni Enrico Mattei)


This paper studies the implications for climate policy of the interactions between environmental and knowledge externalities. Using a numerical analysis performed with the hybrid integrated assessment model WITCH, extended to include mutual spillovers between the energy and the non-energy sector, we show that the combination between environmental and knowledge externalities provides a strong rationale for implementing a portfolio of policies for both emissions reduction and the internalisation of knowledge externalities. Moreover, we show that implementing technology policy as a substitute for stabilisation policy is likely to increase global emissions.

Suggested Citation

  • Emanuele Massetti & Lea Nicita, 2010. "The Optimal Climate Policy Portfolio when Knowledge Spills Across Sectors," Working Papers 2010.96, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2010.96

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    References listed on IDEAS

    1. Bosetti, Valentina & Carraro, Carlo & Massetti, Emanuele & Tavoni, Massimo, 2008. "International energy R&D spillovers and the economics of greenhouse gas atmospheric stabilization," Energy Economics, Elsevier, vol. 30(6), pages 2912-2929, November.
    2. Charles I. Jones, 1999. "Growth: With or Without Scale Effects?," American Economic Review, American Economic Association, vol. 89(2), pages 139-144, May.
    3. 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.
    4. Edwin Mansfield & John Rapoport & Anthony Romeo & Samuel Wagner & George Beardsley, 1977. "Social and Private Rates of Return from Industrial Innovations," The Quarterly Journal of Economics, Oxford University Press, vol. 91(2), pages 221-240.
    5. Edwin Mansfield, 1996. "Microeconomic policy and technological change," Conference Series ; [Proceedings], Federal Reserve Bank of Boston, vol. 40(Jun), pages 183-213.
    6. Enrica De Cian & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Working Papers 2009.85, Fondazione Eni Enrico Mattei.
    7. Keller, Wolfgang, 2002. "Trade and the Transmission of Technology," Journal of Economic Growth, Springer, vol. 7(1), pages 5-24, March.
    8. Wolfgang Keller, 2004. "International Technology Diffusion," Journal of Economic Literature, American Economic Association, vol. 42(3), pages 752-782, September.
    9. van der Werf, Edwin, 2008. "Production functions for climate policy modeling: An empirical analysis," Energy Economics, Elsevier, vol. 30(6), pages 2964-2979, November.
    10. Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2005. "A tale of two market failures: Technology and environmental policy," Ecological Economics, Elsevier, vol. 54(2-3), pages 164-174, August.
    11. Gillingham, Kenneth & Newell, Richard G. & Pizer, William A., 2008. "Modeling endogenous technological change for climate policy analysis," Energy Economics, Elsevier, vol. 30(6), pages 2734-2753, November.
    12. Franco Malerba & Maria Mancusi & Fabio Montobbio, 2013. "Innovation, international R&D spillovers and the sectoral heterogeneity of knowledge flows," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 149(4), pages 697-722, December.
    13. Carlo Carraro, Emanuele Massetti, Lea Nicita, 2009. "How Does Climate Policy Affect Technical Change? An Analysis of the Direction and Pace of Technical Progress in a Climate-Economy Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I).
    14. David Popp & Richard G. Newell, 2009. "Where Does Energy R&D Come From? Examining Crowding Out from Environmentally-Friendly R&D," NBER Working Papers 15423, National Bureau of Economic Research, Inc.
    15. Chang, Kuo-Ping, 1994. "Capital-energy substitution and the multi-level CES production function," Energy Economics, Elsevier, vol. 16(1), pages 22-26, January.
    16. Valentina Bosetti, Carlo Carraro, Marzio Galeotti, Emanuele Massetti, Massimo Tavoni, 2006. "A World induced Technical Change Hybrid Model," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 13-38.
    17. Valentina Bosetti & Emanuele Massetti & Massimo Tavoni, 2007. "The WITCH Model. Structure, Baseline, Solutions," Working Papers 2007.10, Fondazione Eni Enrico Mattei.
    18. Goulder, Lawrence H. & Schneider, Stephen H., 1999. "Induced technological change and the attractiveness of CO2 abatement policies," Resource and Energy Economics, Elsevier, vol. 21(3-4), pages 211-253, August.
    19. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, September.
    20. van der Werf, Edwin, 2007. "Production Functions for Climate Policy Modeling: An Empirical Analysis," Kiel Working Papers 1316, Kiel Institute for the World Economy (IfW).
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    Cited by:

    1. Lehmann, Paul, 2013. "Supplementing an emissions tax by a feed-in tariff for renewable electricity to address learning spillovers," Energy Policy, Elsevier, vol. 61(C), pages 635-641.
    2. Lehmann, Paul & Gawel, Erik, 2013. "Why should support schemes for renewable electricity complement the EU emissions trading scheme?," Energy Policy, Elsevier, vol. 52(C), pages 597-607.
    3. Shiell, Leslie & Lyssenko, Nikita, 2014. "Climate policy and induced R&D: How great is the effect?," Energy Economics, Elsevier, vol. 46(C), pages 279-294.
    4. Bretschger, Lucas & Ramer, Roger & Schwark, Florentine, 2011. "Growth effects of carbon policies: Applying a fully dynamic CGE model with heterogeneous capital," Resource and Energy Economics, Elsevier, vol. 33(4), pages 963-980.

    More about this item


    Technical Change; Climate Change; Development; Innovation; Spillovers;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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