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Climate policies with pollution externalities and learning spillovers

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  • Lehmann, Paul

Abstract

Economic theory suggests that with a pollution externality and learning spillovers related to renewable energy technologies, the optimal climate policy mix includes an emissions policy and an output subsidy to the learning industry. Instead of output subsidies, feed-in tariffs are often implemented in addition to emissions policies. This paper reveals that this policy mix may theoretically provide for a first-best outcome as well. However, its efficient design may be cumbersome for regulators. An emissions tax must be below the Pigovian level and differentiate between fossil fuels. Moreover, both tax and feed-in tariff must be adapted continuously.

Suggested Citation

  • Lehmann, Paul, 2009. "Climate policies with pollution externalities and learning spillovers," UFZ Discussion Papers 10/2009, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  • Handle: RePEc:zbw:ufzdps:102009
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    1. Philippe Menanteau & Dominique Finon & Marie-Laure Lamy, 2003. "Prices versus quantities :environmental policies for promoting the development of renewable energy," Post-Print halshs-00480457, HAL.
    2. Bläsi, Albrecht & Requate, Till, 2007. "Subsidies for Wind Power: Surfing down the Learning Curve?," Economics Working Papers 2007-28, Christian-Albrechts-University of Kiel, Department of Economics.
    3. Madlener, Reinhard & Stagl, Sigrid, 2005. "Sustainability-guided promotion of renewable electricity generation," Ecological Economics, Elsevier, vol. 53(2), pages 147-167, April.
    4. Newell, Richard & Wilson, Nathan, 2005. "Technology Prizes for Climate Change Mitigation," RFF Working Paper Series dp-05-33, Resources for the Future.
    5. Bläsi, Albrecht & Requate, Till, 2005. "Learning-by-Doing with Spillovers in Competitive Industries, Free Entry, and Regulatory Policy," Economics Working Papers 2005-09, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Menanteau, Philippe & Finon, Dominique & Lamy, Marie-Laure, 2003. "Prices versus quantities: choosing policies for promoting the development of renewable energy," Energy Policy, Elsevier, vol. 31(8), pages 799-812, June.
    7. Junginger, M. & Faaij, A. & Turkenburg, W. C., 2005. "Global experience curves for wind farms," Energy Policy, Elsevier, vol. 33(2), pages 133-150, January.
    8. Jørgen Hansen & Camilla Jensen & Erik Madsen, 2003. "The establishment of the danish windmill industry—Was it worthwhile?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(2), pages 324-347, June.
    9. Neij, L, 1999. "Cost dynamics of wind power," Energy, Elsevier, vol. 24(5), pages 375-389.
    10. Fischer, Carolyn & Newell, Richard G., 2008. "Environmental and technology policies for climate mitigation," Journal of Environmental Economics and Management, Elsevier, vol. 55(2), pages 142-162, March.
    11. 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.
    12. Isoard, Stephane & Soria, Antonio, 2001. "Technical change dynamics: evidence from the emerging renewable energy technologies," Energy Economics, Elsevier, vol. 23(6), pages 619-636, November.
    13. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    14. Patrik Söderholm & Ger Klaassen, 2007. "Wind Power in Europe: A Simultaneous Innovation–Diffusion Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(2), pages 163-190, February.
    15. Irwin, Douglas A & Klenow, Peter J, 1994. "Learning-by-Doing Spillovers in the Semiconductor Industry," Journal of Political Economy, University of Chicago Press, vol. 102(6), pages 1200-1227, December.
    16. Neij, Lena, 1997. "Use of experience curves to analyse the prospects for diffusion and adoption of renewable energy technology," Energy Policy, Elsevier, vol. 25(13), pages 1099-1107, November.
    17. Marvin B. Lieberman, 1984. "The Learning Curve and Pricing in the Chemical Processing Industries," RAND Journal of Economics, The RAND Corporation, vol. 15(2), pages 213-228, Summer.
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    Cited by:

    1. Joan Canton & Åsa Johannesson Lindén, 2010. "Support schemes for renewable electricity in the EU," European Economy - Economic Papers 2008 - 2015 408, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Eichner, Thomas & Runkel, Marco, 2014. "Subsidizing renewable energy under capital mobility," Journal of Public Economics, Elsevier, vol. 117(C), pages 50-59.
    3. 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.
    4. Eichner, Thomas & Pethig, Rüdiger, 2014. "International carbon emissions trading and strategic incentives to subsidize green energy," Resource and Energy Economics, Elsevier, vol. 36(2), pages 469-486.

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    More about this item

    Keywords

    Emissions tax; feed-in tariffs; policy mix; spillovers; learning by doing;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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