IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v132y2019icp344-356.html
   My bibliography  Save this article

The German feed-in tariff revisited - an empirical investigation on its distributional effects

Author

Listed:
  • Winter, Simon
  • Schlesewsky, Lisa

Abstract

In the context of the German energy transition, the financial burdens associated with subsidies for renewable energies have increased substantially in recent years. These costs are passed on to consumers in the form of the EEG levy as a component of the electricity price. However, some households benefit from owning photovoltaic (PV) systems because they receive the corresponding feed-in tariffs. In order to investigate how the benefits (and burdens) of this subsidization scheme are distributed, we use micro-data from SOEP for private households during the period of 2010–2017, and we employ three different inequality metrics – the Gini coefficient, the Theil index and the Atkinson index. We conclude that subsidy costs are almost evenly distributed among the population and are therefore regressive. At the same time, feed-in tariffs are increasingly flowing into higher-income households because PV systems are more prevalent in these households. We estimate the overall impact of this subsidization scheme on several measures of (income) inequality at 1.0–2.4%, most of which is due to the EEG levy. We also find regional distortions in favor of the South and especially at the expense of the East.

Suggested Citation

  • Winter, Simon & Schlesewsky, Lisa, 2019. "The German feed-in tariff revisited - an empirical investigation on its distributional effects," Energy Policy, Elsevier, vol. 132(C), pages 344-356.
  • Handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:344-356
    DOI: 10.1016/j.enpol.2019.05.043
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421519303477
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.enpol.2019.05.043?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Philip Ulrich & Martin Distelkamp & Ulrike Lehr, 2012. "Employment Effects of Renewable Energy Expansion on a Regional Level—First Results of a Model-Based Approach for Germany," Sustainability, MDPI, vol. 4(2), pages 1-17, February.
    2. Borenstein, Severin & Bushnell, James & Wolak, Frank, 2002. "Measuring Market Inefficiencies in California's Deregulated Electricity Industry," Staff General Research Papers Archive 13136, Iowa State University, Department of Economics.
    3. repec:zbw:rwirep:0542 is not listed on IDEAS
    4. Cornwell, Antonia & Creedy, John, 1997. "Measuring the Welfare Effects of Tax Changes Using the LES: An Application to a Carbon Tax," Empirical Economics, Springer, vol. 22(4), pages 589-613.
    5. Frank A. Cowell & Emmanuel Flachaire, 2014. "Statistical Methods for Distributional Analysis," Working Papers halshs-01115996, HAL.
    6. Henrik Klinge Jacobsen & Katja Birr-Pedersen & Mette Wier, 2003. "Distributional Implications of Environmental Taxation in Denmark," Fiscal Studies, Institute for Fiscal Studies, vol. 24(4), pages 477-499, December.
    7. Frondel, Manuel & Sommer, Stephan, 2014. "Energiekostenbelastung privater Haushalte: Das EEG als sozialpolitische Zeitbombe?," RWI Materialien 81, RWI - Leibniz-Institut für Wirtschaftsforschung.
    8. Cludius, Johanna & Forrest, Sam & MacGill, Iain, 2014. "Distributional effects of the Australian Renewable Energy Target (RET) through wholesale and retail electricity price impacts," Energy Policy, Elsevier, vol. 71(C), pages 40-51.
    9. Kevin A. Hassett & Aparna Mathur & Gilbert E. Metcalf, 2009. "The Incidence of a U.S. Carbon Tax: A Lifetime and Regional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 155-178.
    10. Speck, Stefan, 1999. "Energy and carbon taxes and their distributional implications," Energy Policy, Elsevier, vol. 27(11), pages 659-667, October.
    11. Don Fullerton, 2011. "Six Distributional Effects of Environmental Policy," Risk Analysis, John Wiley & Sons, vol. 31(6), pages 923-929, June.
    12. Oladosu, Gbadebo & Rose, Adam, 2007. "Income distribution impacts of climate change mitigation policy in the Susquehanna River Basin Economy," Energy Economics, Elsevier, vol. 29(3), pages 520-544, May.
    13. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential consumption of gas and electricity in the U.S.: The role of prices and income," Energy Economics, Elsevier, vol. 33(5), pages 870-881, September.
    14. Karsten Neuhoff & Stefan Bach & Jochen Diekmann & Martin Beznoska & Tarik El-Laboudy, 2013. "Distributional Effects of Energy Transition: Impacts of Renewable Electricity Support in Germany," Economics of Energy & Environmental Policy, International Association for Energy Economics, vol. 0(Number 1).
    15. Manuel Frondel & Stephan Sommer & Colin Vance, 2015. "The burden of Germanyùs energy transition: An empirical analysis of distributional effects," Economic Analysis and Policy, Elsevier, vol. 45(c), pages 89-99.
    16. Paul J. Burke and Ashani Abayasekara, 2018. "The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    17. Baumol,William J. & Oates,Wallace E., 1988. "The Theory of Environmental Policy," Cambridge Books, Cambridge University Press, number 9780521322249.
    18. Erik Gawel & Klaas Korte & Kerstin Tews, 2015. "Distributional Challenges of Sustainability Policies—The Case of the German Energy Transition," Sustainability, MDPI, vol. 7(12), pages 1-17, December.
    19. Lijesen, Mark G., 2007. "The real-time price elasticity of electricity," Energy Economics, Elsevier, vol. 29(2), pages 249-258, March.
    20. Verde, Stefano F. & Pazienza, Maria Grazia, 2016. "Energy and climate hand-in-hand: Financing RES-E support with carbon revenues," Energy Policy, Elsevier, vol. 88(C), pages 234-244.
    21. Dr. Ulrike Lehr & Dr. Thomas Drosdowski, 2015. "Soziale Verteilungswirkungen der EEG-Umlage unter Berücksichtigung von Einkommensklassen," GWS Discussion Paper Series 15-1, GWS - Institute of Economic Structures Research.
    22. Callan, Tim & Lyons, Sean & Scott, Susan & Tol, Richard S.J. & Verde, Stefano, 2009. "The distributional implications of a carbon tax in Ireland," Energy Policy, Elsevier, vol. 37(2), pages 407-412, February.
    23. Ueckerdt, Falko & Hirth, Lion & Luderer, Gunnar & Edenhofer, Ottmar, 2013. "System LCOE: What are the costs of variable renewables?," Energy, Elsevier, vol. 63(C), pages 61-75.
    24. Nicholas Bull & Kevin A. Hassett & Gilbert E. Metcalf, 1994. "Who Pays Broad-Based Energy Taxes? Computing Lifetime and Regional Incidence," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 145-164.
    25. Alberini, Anna & Gans, Will & Velez-Lopez, Daniel, 2011. "Residential Consumption of Gas and Electricity in the U.S.: The Role of Prices and Income," Sustainable Development Papers 99637, Fondazione Eni Enrico Mattei (FEEM).
    26. Lehr, Ulrike & Nitsch, Joachim & Kratzat, Marlene & Lutz, Christian & Edler, Dietmar, 2008. "Renewable energy and employment in Germany," Energy Policy, Elsevier, vol. 36(1), pages 108-117, January.
    27. Tim Nelson & Paul Simshauser & Simon Kelley, 2011. "Australian Residential Solar Feed-in Tariffs: Industry Stimulus or Regressive Form of Taxation?," Economic Analysis and Policy, Elsevier, vol. 41(2), pages 113-129, September.
    28. Rausch, Sebastian & Mowers, Matthew, 2014. "Distributional and efficiency impacts of clean and renewable energy standards for electricity," Resource and Energy Economics, Elsevier, vol. 36(2), pages 556-585.
    29. Schulte, Isabella & Heindl, Peter, 2017. "Price and income elasticities of residential energy demand in Germany," Energy Policy, Elsevier, vol. 102(C), pages 512-528.
    30. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 36(1), pages 1-17, April.
    31. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    32. Okajima, Shigeharu & Okajima, Hiroko, 2013. "Estimation of Japanese price elasticities of residential electricity demand, 1990–2007," Energy Economics, Elsevier, vol. 40(C), pages 433-440.
    33. Reichelstein, Stefan & Yorston, Michael, 2013. "The prospects for cost competitive solar PV power," Energy Policy, Elsevier, vol. 55(C), pages 117-127.
    34. Trujillo-Baute, Elisa & del Río, Pablo & Mir-Artigues, Pere, 2018. "Analysing the impact of renewable energy regulation on retail electricity prices," Energy Policy, Elsevier, vol. 114(C), pages 153-164.
    35. Lisa Schlesewsky & Simon Winter, 2018. "Inequalities in Energy Transition: The Case of Network Charges in Germany," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 102-113.
    36. Wier, Mette & Birr-Pedersen, Katja & Jacobsen, Henrik Klinge & Klok, Jacob, 2005. "Are CO2 taxes regressive? Evidence from the Danish experience," Ecological Economics, Elsevier, vol. 52(2), pages 239-251, January.
    37. Grover, David & Daniels, Benjamin, 2017. "Social equity issues in the distribution of feed-in tariff policy benefits: A cross sectional analysis from England and Wales using spatial census and policy data," Energy Policy, Elsevier, vol. 106(C), pages 255-265.
    38. Campbell, Alrick, 2018. "Price and income elasticities of electricity demand: Evidence from Jamaica," Energy Economics, Elsevier, vol. 69(C), pages 19-32.
    39. Severin Borenstein & James B. Bushnell & Frank A. Wolak, 2002. "Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market," American Economic Review, American Economic Association, vol. 92(5), pages 1376-1405, December.
    40. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    41. Lehr, Ulrike & Lutz, Christian & Edler, Dietmar, 2012. "Green jobs? Economic impacts of renewable energy in Germany," Energy Policy, Elsevier, vol. 47(C), pages 358-364.
    42. Burtraw, Dallas & Palmer, Karen & Bharvirkar, Ranjit & Paul, Anthony, 2001. "The Effect of Allowance Allocation on the Cost of Carbon Emission Trading," RFF Working Paper Series dp-01-30-, Resources for the Future.
    43. A. Bovenberg & Frederick Van der Ploeg, 1998. "Consequences of Environmental Tax Reform for Unemployment and Welfare," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(2), pages 137-150, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paul Simshauser & Tim Nelson & Joel Gilmore, 2022. "The sunshine state: implications from mass rooftop solar PV take-up rates in Queensland," Working Papers EPRG2219, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    2. Diana Enescu & Alessandro Ciocia & Udayanga I. K. Galappaththi & Harsha Wickramasinghe & Francesco Alagna & Angela Amato & Francisco Díaz-González & Filippo Spertino & Valeria Cocina, 2023. "Energy Tariff Policies for Renewable Energy Development: Comparison between Selected European Countries and Sri Lanka," Energies, MDPI, vol. 16(4), pages 1-26, February.
    3. Johanna Fink, 2023. "Can the creation of separate bidding zones within countries create imbalances in PV uptake? Evidence from Sweden," Papers 2312.16161, arXiv.org.
    4. Duman, A. Can & Güler, Önder, 2020. "Economic analysis of grid-connected residential rooftop PV systems in Turkey," Renewable Energy, Elsevier, vol. 148(C), pages 697-711.
    5. Best, Rohan & Hammerle, Mara & Mukhopadhaya, Pundarik & Silber, Jacques, 2021. "Targeting household energy assistance," Energy Economics, Elsevier, vol. 99(C).
    6. Rövekamp, Patrick & Schöpf, Michael & Wagon, Felix & Weibelzahl, Martin & Fridgen, Gilbert, 2021. "Renewable electricity business models in a post feed-in tariff era," Energy, Elsevier, vol. 216(C).
    7. Botelho, D.F. & Dias, B.H. & de Oliveira, L.W. & Soares, T.A. & Rezende, I. & Sousa, T., 2021. "Innovative business models as drivers for prosumers integration - Enablers and barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    8. Esplin, Ryan & Nelson, Tim, 2022. "Redirecting solar feed in tariffs to residential battery storage: Would it be worth it?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 373-389.
    9. Best, Rohan & Chareunsy, Andrea & Li, Han, 2021. "Equity and effectiveness of Australian small-scale solar schemes," Ecological Economics, Elsevier, vol. 180(C).
    10. Stewart, Fraser, 2021. "All for sun, sun for all: Can community energy help to overcome socioeconomic inequalities in low-carbon technology subsidies?," Energy Policy, Elsevier, vol. 157(C).
    11. Botelho, D.F. & de Oliveira, L.W. & Dias, B.H. & Soares, T.A. & Moraes, C.A., 2022. "Prosumer integration into the Brazilian energy sector: An overview of innovative business models and regulatory challenges," Energy Policy, Elsevier, vol. 161(C).
    12. Cristian Pons-Seres de Brauwer, 2022. "The Politics of Market Change towards Sustainability: Revisiting Germany’s Policy Support Framework for Renewables," Energies, MDPI, vol. 15(11), pages 1-27, May.
    13. Yuehong Lu & Zafar A. Khan & Manuel S. Alvarez-Alvarado & Yang Zhang & Zhijia Huang & Muhammad Imran, 2020. "A Critical Review of Sustainable Energy Policies for the Promotion of Renewable Energy Sources," Sustainability, MDPI, vol. 12(12), pages 1-31, June.
    14. Lekavičius, V. & Bobinaitė, V. & Galinis, A. & Pažėraitė, A., 2020. "Distributional impacts of investment subsidies for residential energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    15. Eko Supriyanto & Jayan Sentanuhady & Wisnu Hozaifa Hasan & Ariyana Dwiputra Nugraha & Muhammad Akhsin Muflikhun, 2022. "Policy and Strategies of Tariff Incentives Related to Renewable Energy: Comparison between Indonesia and Other Developing and Developed Countries," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    16. Jan C. Steckel & Ira I. Dorband & Lorenzo Montrone & Hauke Ward & Leonard Missbach & Fabian Hafner & Michael Jakob & Sebastian Renner, 2021. "Distributional impacts of carbon pricing in developing Asia," Nature Sustainability, Nature, vol. 4(11), pages 1005-1014, November.
    17. Stewart, Fraser, 2022. "Friends with benefits: How income and peer diffusion combine to create an inequality “trap” in the uptake of low-carbon technologies," Energy Policy, Elsevier, vol. 163(C).
    18. Best, Rohan, 2023. "Equitable reverse auctions supporting household energy investments," Energy Policy, Elsevier, vol. 177(C).
    19. Heffron, Raphael & Körner, Marc-Fabian & Wagner, Jonathan & Weibelzahl, Martin & Fridgen, Gilbert, 2020. "Industrial demand-side flexibility: A key element of a just energy transition and industrial development," Applied Energy, Elsevier, vol. 269(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Peter Grösche & Carsten Schröder, 2014. "On the redistributive effects of Germany’s feed-in tariff," Empirical Economics, Springer, vol. 46(4), pages 1339-1383, June.
    2. Vona, Francesco, 2023. "Managing the distributional effects of climate policies: A narrow path to a just transition," Ecological Economics, Elsevier, vol. 205(C).
    3. Heindl, Peter & Löschel, Andreas, 2015. "Social implications of green growth policies from the perspective of energy sector reform and its impact on households," ZEW Discussion Papers 15-012, ZEW - Leibniz Centre for European Economic Research.
    4. Csereklyei, Zsuzsanna, 2020. "Price and income elasticities of residential and industrial electricity demand in the European Union," Energy Policy, Elsevier, vol. 137(C).
    5. Wang, Qian & Hubacek, Klaus & Feng, Kuishuang & Wei, Yi-Ming & Liang, Qiao-Mei, 2016. "Distributional effects of carbon taxation," Applied Energy, Elsevier, vol. 184(C), pages 1123-1131.
    6. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2018. "Distributional Impacts of Climate Mitigation Policies - a Meta-Analysis," Discussion Papers of DIW Berlin 1776, DIW Berlin, German Institute for Economic Research.
    7. Nils Ohlendorf & Michael Jakob & Jan Christoph Minx & Carsten Schröder & Jan Christoph Steckel, 2021. "Distributional Impacts of Carbon Pricing: A Meta-Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(1), pages 1-42, January.
    8. Parry, Ian W.H. & Sigman, Hilary & Walls, Margaret & Williams, Roberton C., III, 2005. "The Incidence of Pollution Control Policies," Discussion Papers 10651, Resources for the Future.
    9. Többen, Johannes, 2017. "Regional Net Impacts and Social Distribution Effects of Promoting Renewable Energies in Germany," Ecological Economics, Elsevier, vol. 135(C), pages 195-208.
    10. Gautam, Tej K. & Paudel, Krishna P., 2018. "Estimating sectoral demands for electricity using the pooled mean group method," Applied Energy, Elsevier, vol. 231(C), pages 54-67.
    11. Jerzy Andruszkiewicz & Józef Lorenc & Agnieszka Weychan, 2019. "Demand Price Elasticity of Residential Electricity Consumers with Zonal Tariff Settlement Based on Their Load Profiles," Energies, MDPI, vol. 12(22), pages 1-22, November.
    12. Nikodinoska, Dragana & Schröder, Carsten, 2016. "On the emissions–inequality and emissions–welfare trade-offs in energy taxation: Evidence on the German car fuels tax," Resource and Energy Economics, Elsevier, vol. 44(C), pages 206-233.
    13. Qiao-Mei Liang & Qian Wang & Yi-Ming Wei, 2013. "Assessing the Distributional Impacts of Carbon Tax among Households across Different Income Groups: The Case of China," Energy & Environment, , vol. 24(7-8), pages 1323-1346, December.
    14. Nikodinoska, Dragana & Schröder, Carsten, 2015. "On the emissions-inequality trade-off in energy taxation: Evidence on the German car fuel tax," Discussion Papers 2015/6, Free University Berlin, School of Business & Economics.
    15. Frondel, Manuel & Kussel, Gerhard & Sommer, Stephan, 2019. "Heterogeneity in the price response of residential electricity demand: A dynamic approach for Germany," Resource and Energy Economics, Elsevier, vol. 57(C), pages 119-134.
    16. Ian Parry, 2015. "Carbon Tax Burdens on Low-Income Households: A Reason for Delaying Climate Policy?," CESifo Working Paper Series 5482, CESifo.
    17. Corbett A. Grainger & Charles D. Kolstad, 2010. "Distribution and Climate Change Policies," Chapters, in: Emilio Cerdá Tena & Xavier Labandeira (ed.), Climate Change Policies, chapter 7, Edward Elgar Publishing.
    18. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2014. "A new look at residential electricity demand using household expenditure data," International Journal of Industrial Organization, Elsevier, vol. 33(C), pages 37-47.
    19. Javier Bueno & Desiderio Romero-Jordán & Pablo del Río, 2020. "Analysing the Drivers of Electricity Demand in Spain after the Economic Crisis," Energies, MDPI, vol. 13(20), pages 1-18, October.
    20. Erik Gawel & Klaas Korte & Kerstin Tews, 2015. "Distributional Challenges of Sustainability Policies—The Case of the German Energy Transition," Sustainability, MDPI, vol. 7(12), pages 1-17, December.

    More about this item

    Keywords

    Feed-in tariff; EEG; Economic inequality; Redistribution; Tax incidence;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:132:y:2019:i:c:p:344-356. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.