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Can technology-specific deployment policies be cost-effective? The case of renewable energy support schemes

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  • Lehmann, Paul
  • Söderholm, Patrik

Abstract

While there is relatively limited disagreement on the general need for supporting the deployment of renewable energy sources for electricity generation (RES-E), there are diverging views on whether the granted support levels should be technology-neutral or technology-specific. In this paper we question the frequently stressed argument that technology-neutral schemes will promote RES-E deployment cost-effectively. A simple partial equilibrium model of the electricity sector with one representative investor is developed to illustrate how the cost-effective support levels to different RES-E technologies will be influenced when selected market failures are introduced. We address market failures associated with technological development, long-term risk taking, path dependencies as well as various external costs, all of which drive a wedge between the private and the social costs of RES-E deployment. Based on these analytical findings and a review of empirical literature, we conclude that the relevance of these market failures is typically heterogeneous across different RES-E technologies. The paper ends by discussing a number of possible caveats to implementing cost-effective technology-specific support schemes in practice, including the role of various information and political economy constraints. While these considerations involve important challenges, neither of them suggests an unambiguous plea for technology-neutral RES support policies either.

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  • Lehmann, Paul & Söderholm, Patrik, 2016. "Can technology-specific deployment policies be cost-effective? The case of renewable energy support schemes," UFZ Discussion Papers 1/2016, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
  • Handle: RePEc:zbw:ufzdps:12016
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    1. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    2. Popp, David & Santen, Nidhi & Fisher-Vanden, Karen & Webster, Mort, 2013. "Technology variation vs. R&D uncertainty: What matters most for energy patent success?," Resource and Energy Economics, Elsevier, vol. 35(4), pages 505-533.
    3. Jenkins, Jesse D., 2014. "Political economy constraints on carbon pricing policies: What are the implications for economic efficiency, environmental efficacy, and climate policy design?," Energy Policy, Elsevier, vol. 69(C), pages 467-477.
    4. Andreas Löschel & Florens Flues & Frank Pothen & Philipp Massier, 2013. "Der deutsche Strommarkt im Umbruch: Zur Notwendigkeit einer Marktordnung aus einem Guss," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 93(11), pages 778-784, October.
    5. Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2013. "Renewable energy subsidies: Second-best policy or fatal aberration for mitigation?," Resource and Energy Economics, Elsevier, vol. 35(3), pages 217-234.
    6. Kitzing, Lena, 2014. "Risk implications of renewable support instruments: Comparative analysis of feed-in tariffs and premiums using a mean–variance approach," Energy, Elsevier, vol. 64(C), pages 495-505.
    7. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    8. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    9. Aghion, Philippe & David, Paul A. & Foray, Dominique, 2009. "Science, technology and innovation for economic growth: Linking policy research and practice in 'STIG Systems'," Research Policy, Elsevier, vol. 38(4), pages 681-693, May.
    10. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    11. Snorre Kverndokk & Knut Rosendahl & Thomas Rutherford, 2004. "Climate Policies and Induced Technological Change: Which to Choose, the Carrot or the Stick?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(1), pages 21-41, January.
    12. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    13. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    14. Kalkuhl, Matthias & Edenhofer, Ottmar & Lessmann, Kai, 2012. "Learning or lock-in: Optimal technology policies to support mitigation," Resource and Energy Economics, Elsevier, vol. 34(1), pages 1-23.
    15. Nick Johnstone & Ivan Haščič & David Popp, 2010. "Renewable Energy Policies and Technological Innovation: Evidence Based on Patent Counts," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 45(1), pages 133-155, January.
    16. 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.
    17. Jeremy C. Stein, 1989. "Efficient Capital Markets, Inefficient Firms: A Model of Myopic Corporate Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 104(4), pages 655-669.
    18. Fischer, Carolyn & Preonas, Louis, 2010. "Combining Policies for Renewable Energy: Is the Whole Less Than the Sum of Its Parts?," International Review of Environmental and Resource Economics, now publishers, vol. 4(1), pages 51-92, June.
    19. Antoine Dechezleprêtre & Ralf Martin & Myra Mohnen, "undated". "Knowledge spillovers from clean and dirty technologies: a patent citation analysis," SIMPATIC Working Papers 954, Bruegel.
    20. Dani Rodrik, 2014. "Green industrial policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(3), pages 469-491.
    21. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
    22. 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.
    23. Karsten Neuhoff, 2005. "Large-Scale Deployment of Renewables for Electricity Generation," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 21(1), pages 88-110, Spring.
    24. Gawel, Erik & Strunz, Sebastian & Lehmann, Paul, 2014. "A public choice view on the climate and energy policy mix in the EU — How do the emissions trading scheme and support for renewable energies interact?," Energy Policy, Elsevier, vol. 64(C), pages 175-182.
    25. Bergek, Anna & Jacobsson, Staffan, 2010. "Are tradable green certificates a cost-efficient policy driving technical change or a rent-generating machine? Lessons from Sweden 2003-2008," Energy Policy, Elsevier, vol. 38(3), pages 1255-1271, March.
    26. Parry Ian W. H. & Williams Roberton C., 2010. "What are the Costs of Meeting Distributional Objectives for Climate Policy?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 10(2), pages 1-35, December.
    27. Marcello Graziano & Kenneth Gillingham, 2015. "Spatial patterns of solar photovoltaic system adoption: The influence of neighbors and the built environment," Journal of Economic Geography, Oxford University Press, vol. 15(4), pages 815-839.
    28. Unruh, Gregory C., 2000. "Understanding carbon lock-in," Energy Policy, Elsevier, vol. 28(12), pages 817-830, October.
    29. del Río, Pablo & Linares, Pedro, 2014. "Back to the future? Rethinking auctions for renewable electricity support," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 42-56.
    30. Lindman, Åsa & Söderholm, Patrik, 2012. "Wind power learning rates: A conceptual review and meta-analysis," Energy Economics, Elsevier, vol. 34(3), pages 754-761.
    31. Joëlle Noailly & Victoria Shestalova, 2013. "Knowledge spillovers from renewable energy technologies, Lessons from patent citations," CPB Discussion Paper 262, CPB Netherlands Bureau for Economic Policy Analysis.
    32. Schmidt-Ehmcke, Jens & Zloczysti, Petra & Braun, Frauke G, 2010. "Innovative Activity in Wind and Solar Technology: Empirical Evidence on Knowledge Spillovers Using Patent Data," CEPR Discussion Papers 7865, C.E.P.R. Discussion Papers.
    33. Lori Bennear & Robert Stavins, 2007. "Second-best theory and the use of multiple policy instruments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 111-129, May.
    34. Adam Jaffe & Manuel Trajtenberg, 1999. "International Knowledge Flows: Evidence From Patent Citations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 8(1-2), pages 105-136.
    35. Dieter Helm, 2010. "Government failure, rent-seeking, and capture: the design of climate change policy," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 26(2), pages 182-196, Summer.
    36. Parry, Ian W.H. & Williams, Roberton C. III, 2010. "What Are the Costs of Meeting Distributional Objectives in Designing Domestic Climate Policy?," RFF Working Paper Series dp-10-51, Resources for the Future.
    37. Peters, Michael & Schneider, Malte & Griesshaber, Tobias & Hoffmann, Volker H., 2012. "The impact of technology-push and demand-pull policies on technical change – Does the locus of policies matter?," Research Policy, Elsevier, vol. 41(8), pages 1296-1308.
    38. Hirth, Lion, 2013. "The market value of variable renewables," Energy Economics, Elsevier, vol. 38(C), pages 218-236.
    39. repec:bre:wpaper:954 is not listed on IDEAS
    40. Martin B. Zimmerman, 1982. "Learning Effects and the Commercialization of New Energy Technologies: The Case of Nuclear Power," Bell Journal of Economics, The RAND Corporation, vol. 13(2), pages 297-310, Autumn.
    41. Kenneth J. Arrow & Robert C. Lind, 1974. "Uncertainty and the Evaluation of Public Investment Decisions," Palgrave Macmillan Books, in: Chennat Gopalakrishnan (ed.), Classic Papers in Natural Resource Economics, chapter 3, pages 54-75, Palgrave Macmillan.
    42. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    43. Richard K. Lester & Mark J. McCabe, 1993. "The Effect of Industrial Structure on Learning by Doing in Nuclear Power Plant Operation," RAND Journal of Economics, The RAND Corporation, vol. 24(3), pages 418-438, Autumn.
    44. Strunz, Sebastian & Gawel, Erik & Lehmann, Paul, 2016. "The political economy of renewable energy policies in Germany and the EU," Utilities Policy, Elsevier, vol. 42(C), pages 33-41.
    45. Joelle Noailly & Victoria Shestalova, 2013. "Knowledge Spillovers from Renewable energy Technologies, Lessons from patent citations," CIES Research Paper series 22-2013, Centre for International Environmental Studies, The Graduate Institute.
    46. Bergmann, Ariel & Colombo, Sergio & Hanley, Nick, 2008. "Rural versus urban preferences for renewable energy developments," Ecological Economics, Elsevier, vol. 65(3), pages 616-625, April.
    47. Klessmann, Corinna & Rathmann, Max & de Jager, David & Gazzo, Alexis & Resch, Gustav & Busch, Sebastian & Ragwitz, Mario, 2013. "Policy options for reducing the costs of reaching the European renewables target," Renewable Energy, Elsevier, vol. 57(C), pages 390-403.
    48. Meyerhoff, Jürgen & Ohl, Cornelia & Hartje, Volkmar, 2010. "Landscape externalities from onshore wind power," Energy Policy, Elsevier, vol. 38(1), pages 82-92, January.
    49. Kitzing, Lena & Mitchell, Catherine & Morthorst, Poul Erik, 2012. "Renewable energy policies in Europe: Converging or diverging?," Energy Policy, Elsevier, vol. 51(C), pages 192-201.
    50. del Río, Pablo & Cerdá, Emilio, 2014. "The policy implications of the different interpretations of the cost-effectiveness of renewable electricity support," Energy Policy, Elsevier, vol. 64(C), pages 364-372.
    51. Harald Rohracher, 2008. "Energy systems in transition: contributions from social sciences," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 9(2/3), pages 144-161.
    52. Hitaj, Claudia & Löschel, Andreas, 2019. "The impact of a feed-in tariff on wind power development in Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 18-35.
    53. Eric Budish & Benjamin N. Roin & Heidi Williams, 2015. "Do Firms Underinvest in Long-Term Research? Evidence from Cancer Clinical Trials," American Economic Review, American Economic Association, vol. 105(7), pages 2044-2085, July.
    54. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    55. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    56. Yeh, Sonia & Rubin, Edward S., 2012. "A review of uncertainties in technology experience curves," Energy Economics, Elsevier, vol. 34(3), pages 762-771.
    57. 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.
    58. Daniel T. Kaffine, Brannin J. McBee, and Jozef Lieskovsky, 2013. "Emissions Savings from Wind Power Generation in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    59. Karsten Neuhoff & Laurens De Vries, 2004. "Insufficient Incentives for Investment," Working Papers EP42, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    60. Arthur van Benthem & Kenneth Gillingham & James Sweeney, 2008. "Learning-by-Doing and the Optimal Solar Policy in California," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 131-152.
    61. Kevin Novan, 2015. "Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 291-326, August.
    62. 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.
    63. Abbasi, S. A. & Abbasi, Naseema, 2000. "The likely adverse environmental impacts of renewable energy sources," Applied Energy, Elsevier, vol. 65(1-4), pages 121-144, April.
    64. Paul Lehmann & Felix Creutzig & Melf-Hinrich Ehlers & Nele Friedrichsen & Clemens Heuson & Lion Hirth & Robert Pietzcker, 2012. "Carbon Lock-Out: Advancing Renewable Energy Policy in Europe," Energies, MDPI, vol. 5(2), pages 1-32, February.
    65. Geels, Frank W., 2004. "From sectoral systems of innovation to socio-technical systems: Insights about dynamics and change from sociology and institutional theory," Research Policy, Elsevier, vol. 33(6-7), pages 897-920, September.
    66. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    67. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    68. Gawel, Erik & Lehmann, Paul & Purkus, Alexandra & Söderholm, Patrik & Witte, Katherina, 2017. "Rationales for technology-specific RES support and their relevance for German policy," Energy Policy, Elsevier, vol. 102(C), pages 16-26.
    69. Nemet, Gregory F., 2006. "Beyond the learning curve: factors influencing cost reductions in photovoltaics," Energy Policy, Elsevier, vol. 34(17), pages 3218-3232, November.
    70. William D. Nordhaus, 2014. "The Perils of the Learning Model for Modeling Endogenous Technological Change," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    71. Jägemann, Cosima & Fürsch, Michaela & Hagspiel, Simeon & Nagl, Stephan, 2013. "Decarbonizing Europe's power sector by 2050 — Analyzing the economic implications of alternative decarbonization pathways," Energy Economics, Elsevier, vol. 40(C), pages 622-636.
    72. Bryan Bollinger & Kenneth Gillingham, 2012. "Peer Effects in the Diffusion of Solar Photovoltaic Panels," Marketing Science, INFORMS, vol. 31(6), pages 900-912, November.
    73. David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
    74. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    75. Nordensvärd, Johan & Urban, Frauke, 2015. "The stuttering energy transition in Germany: Wind energy policy and feed-in tariff lock-in," Energy Policy, Elsevier, vol. 82(C), pages 156-165.
    76. Anger, Niels & Böhringer, Christoph & Oberndorfer, Ulrich, 2008. "Public Interest vs. Interest Groups: Allowance Allocation in the EU Emissions Trading Scheme," ZEW Discussion Papers 08-023, ZEW - Leibniz Centre for European Economic Research.
    77. Jacobsson, Staffan & Bergek, Anna & Finon, Dominique & Lauber, Volkmar & Mitchell, Catherine & Toke, David & Verbruggen, Aviel, 2009. "EU renewable energy support policy: Faith or facts?," Energy Policy, Elsevier, vol. 37(6), pages 2143-2146, June.
    78. Noll, Daniel & Dawes, Colleen & Rai, Varun, 2014. "Solar Community Organizations and active peer effects in the adoption of residential PV," Energy Policy, Elsevier, vol. 67(C), pages 330-343.
    79. Hoppmann, Joern & Huenteler, Joern & Girod, Bastien, 2014. "Compulsive policy-making—The evolution of the German feed-in tariff system for solar photovoltaic power," Research Policy, Elsevier, vol. 43(8), pages 1422-1441.
    80. Kverndokk, Snorre & Rosendahl, Knut Einar, 2007. "Climate policies and learning by doing: Impacts and timing of technology subsidies," Resource and Energy Economics, Elsevier, vol. 29(1), pages 58-82, January.
    81. Tafarte, Philip & Das, Subhashree & Eichhorn, Marcus & Thrän, Daniela, 2014. "Small adaptations, big impacts: Options for an optimized mix of variable renewable energy sources," Energy, Elsevier, vol. 72(C), pages 80-92.
    82. Grubb, Michael, 1997. "Technologies, energy systems and the timing of CO2 emissions abatement : An overview of economic issues," Energy Policy, Elsevier, vol. 25(2), pages 159-172, February.
    83. Drechsler, Martin & Ohl, Cornelia & Meyerhoff, Jürgen & Eichhorn, Marcus & Monsees, Jan, 2011. "Combining spatial modeling and choice experiments for the optimal spatial allocation of wind turbines," Energy Policy, Elsevier, vol. 39(6), pages 3845-3854, June.
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    18. Aalbers, Rob & Shestalova, Victoria & Kocsis, Viktória, 2013. "Innovation policy for directing technical change in the power sector," Energy Policy, Elsevier, vol. 63(C), pages 1240-1250.
    19. Barbieri, Nicolò & Marzucchi, Alberto & Rizzo, Ugo, 2023. "Green technologies, interdependencies, and policy," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    20. Subtil Lacerda, Juliana & van den Bergh, Jeroen C.J.M., 2016. "Diversity in solar photovoltaic energy: Implications for innovation and policy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 331-340.

    More about this item

    Keywords

    technology deployment; renewable energy sources; support schemes; cost-effectiveness;
    All these keywords.

    JEL classification:

    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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