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Wasserverbrauch privater Haushalte in Deutschland: Eine empirische Mikroanalyse

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  • Frondel, Manuel
  • Niehues, Delia A.
  • Sommer, Stephan

Abstract

Deutschland ist ein eher wasserreiches Land. Dennoch konnten es klimatische Veränderungen notwendig machen, künftig sorgsam mit der Ressource Wasser umzugehen, vor allem in Zeiten von Trockenheit. Vor diesem Hintergrund schätzt dieser Beitrag die Preiselastizität des Wasserverbrauchs privater Haushalte und differenziert dabei zwischen Haushalten, die eine grobe Kenntnis der Wasserpreise haben, und Haushalten ohne Preiskenntnis. Auf Basis von ca. 1.100 Beobachtungen für Haushalte, die in Einfamilienhäusern wohnen, und unter Verwendung der Summe der Kubikmeter- Preise für Wasser und Abwasser findet sich eine moderate, aber statistisch signifikant von Null verschiedene Preiselastizität von -0,102. Haushalte, die über die Kenntnis der Wasserpreise verfügen, weisen tendenziell eine höhere Elastizität auf, während Haushalte ohne Preiskenntnis keine statistisch signifikante Reaktion in ihrem Wasserverbrauch zeigen. Preise können demnach nur in begrenztem Umfang als Mittel zur Steuerung des Wasserverbrauchs eingesetzt werden.

Suggested Citation

  • Frondel, Manuel & Niehues, Delia A. & Sommer, Stephan, 2021. "Wasserverbrauch privater Haushalte in Deutschland: Eine empirische Mikroanalyse," RWI Materialien 146, RWI - Leibniz-Institut für Wirtschaftsforschung.
  • Handle: RePEc:zbw:rwimat:146
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    1. Joshua D. Angrist & Jörn-Steffen Pischke, 2017. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 125-144, Spring.
    2. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308.
    3. 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.
    4. Brent, Daniel A. & Ward, Michael B., 2019. "Price perceptions in water demand," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    5. Hunt Allcott & Todd Rogers, 2014. "The Short-Run and Long-Run Effects of Behavioral Interventions: Experimental Evidence from Energy Conservation," American Economic Review, American Economic Association, vol. 104(10), pages 3003-3037, October.
    6. David W. Carter & J. Walter Milon, 2005. "Price Knowledge in Household Demand for Utility Services," Land Economics, University of Wisconsin Press, vol. 81(2).
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    More about this item

    Keywords

    Preiselastizität; Preiskenntnis;

    JEL classification:

    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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