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Soziale Verteilungswirkungen der EEG-Umlage unter Berücksichtigung von Einkommensklassen

Author

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  • Dr. Ulrike Lehr

    (GWS - Institute of Economic Structures Research)

  • Dr. Thomas Drosdowski

    (GWS - Institute of Economic Structures Research)

Abstract

Der Ausbau der erneuerbaren Energien wird derzeit aufgrund des Anstiegs der EEG-Umlage in den Jahren 2013 und 2014 umfassend diskutiert im Hinblick auf die sozialen Verteilungswirkungen steigender Strompreise. In dieser Studie, die eine aktualisierte und ergänzte Fassung von Lehr & Drosdowski (2013) darstellt, werden modellgestützt die Verteilungswirkungen analysiert, die sich aus dem Vergleich des oberen und unteren Szenario der Mittelfristprognose für 2015 ergeben. Die leicht regressiven Verteilungswirkungen sowie die Einsparungen durch Verhaltensanpassungen beim Stromverbrauch aufgrund von steigenden relativen Preisen aus der Vorgängerstudie werden bestätigt. Die Resultate werden durch eine zusätzliche Berechnung nach Einkommensklassen in ihrer Richtung und Größenordnung plausibilisiert.

Suggested Citation

  • 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.
    • Handle: RePEc:gws:dpaper:15-1
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    References listed on IDEAS

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    1. Martin Distelkamp & Dr. Christian Lutz & Prof. Dr. Bernd Meyer & Dr. Marc Ingo Wolter, 2004. "Schätzung der Wirkung umweltpolitischer Maßnahmen im Verkehrssektor unter Nutzung der Datenbasis der Gesamtrechnung des Statistischen Bundesamtes," GWS Discussion Paper Series 04-5, GWS - Institute of Economic Structures Research.
    2. 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.
    3. Dr. Ulrike Lehr & Dr. Thomas Drosdowski, 2013. "Soziale Verteilungswirkungen der EEG-Umlage," GWS Discussion Paper Series 13-3, GWS - Institute of Economic Structures Research.
    4. Karsten Neuhoff & Stefan Bach & Jochen Diekmann & Martin Beznoska & Tarik El-Laboudy, 2012. "Steigende EEG-Umlage: unerwünschte Verteilungseffekte können vermindert werden," DIW Wochenbericht, DIW Berlin, German Institute for Economic Research, vol. 79(41), pages 3-12.
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    Cited by:

    1. Dr. Christian Lutz & Dr. Barbara Breitschopf, 2016. "Systematisierung der gesamtwirtschaftlichen Effekte und Verteilungswirkungen der Energiewende," GWS Research Report Series 16-1, GWS - Institute of Economic Structures Research.
    2. Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
    3. 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.

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    More about this item

    Keywords

    EEG-Umlage; Verteilungswirkung; Einkommensklassen; Strompreis; Verhaltensanpassung;
    All these keywords.

    JEL classification:

    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • H23 - Public Economics - - Taxation, Subsidies, and Revenue - - - Externalities; Redistributive Effects; Environmental Taxes and Subsidies

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