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Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?

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  • Taruttis, Lisa
  • Weber, Christoph

Abstract

The German government aims at a climate-neutral building stock by 2050 to reach the goals defined in the Climate Action Plan 2050. Increasing the energy efficiency of existing buildings is therefore a high priority. For this purpose, investments of private homeowners will play a major role since about 46.5% of the German dwellings are owner-occupied. To identify potential monetary benefits of investing in energetic retrofits, we investigate whether energy efficiency is reflected in property values of single-family houses in Germany. Thereby we examine possible heterogeneous effects among regions. With 455,413 individual observations on a 1km²-grid level for 2014 to 2018, this study adds to the literature 1) by examining the effect of energy efficiency on housing values for Germany on a more small-scale level and specifically investigating regional disparities in this context and 2) by estimating an energy efficiency value-to-cost ratio. Applying a hedonic analysis, we find a positive relationship between energy efficiency and asking prices. We also find evidence for regional disparities. Effects are significantly weaker in large cities compared to other urban areas, whereas the impact in rural areas is much stronger. Since property values are expected to decline in rural regions, homeowners could alleviate this development by increasing the energy efficiency of their dwellings.

Suggested Citation

  • Taruttis, Lisa & Weber, Christoph, 2020. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224582, Verein für Socialpolitik / German Economic Association.
    • Handle: RePEc:zbw:vfsc20:224582
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    1. Fuerst, Franz & McAllister, Pat & Nanda, Anupam & Wyatt, Pete, 2016. "Energy performance ratings and house prices in Wales: An empirical study," Energy Policy, Elsevier, vol. 92(C), pages 20-33.
    2. Kholodilin, Konstantin A & Mense, Andreas & Michelsen, Claus, 2017. "The market value of energy efficiency in buildings and the mode of tenure," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 54(14), pages 3218-3238.
    3. Hyland, Marie & Lyons, Ronan C. & Lyons, Seán, 2013. "The value of domestic building energy efficiency — evidence from Ireland," Energy Economics, Elsevier, vol. 40(C), pages 943-952.
    4. Miranowski, John & Dinan, T., 1989. "Estimating the Implicit Price of Energy Efficiency Improvement in the Residential Housing Market: A Hedonic Approach," Staff General Research Papers Archive 10698, Iowa State University, Department of Economics.
    5. A. Colin Cameron & Douglas L. Miller, 2015. "A Practitioner’s Guide to Cluster-Robust Inference," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 317-372.
    6. Dinan, Terry M. & Miranowski, John A., 1989. "Estimating the implicit price of energy efficiency improvements in the residential housing market: A hedonic approach," Journal of Urban Economics, Elsevier, vol. 25(1), pages 52-67, January.
    7. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    8. Brown, James N & Rosen, Harvey S, 1982. "On the Estimation of Structural Hedonic Price Models," Econometrica, Econometric Society, vol. 50(3), pages 765-768, May.
    9. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    10. de Ayala, Amaia & Galarraga, Ibon & Spadaro, Joseph V., 2016. "The price of energy efficiency in the Spanish housing market," Energy Policy, Elsevier, vol. 94(C), pages 16-24.
    11. Fuerst, Franz & Oikarinen, Elias & Harjunen, Oskari, 2016. "Green signalling effects in the market for energy-efficient residential buildings," Applied Energy, Elsevier, vol. 180(C), pages 560-571.
    12. Kok, Nils & Jennen, Maarten, 2012. "The impact of energy labels and accessibility on office rents," Energy Policy, Elsevier, vol. 46(C), pages 489-497.
    13. Manuel Frondel & Andreas Gerster & Colin Vance, 2020. "The Power of Mandatory Quality Disclosure: Evidence from the German Housing Market," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 7(1), pages 181-208.
    14. Brounen, Dirk & Kok, Nils, 2011. "On the economics of energy labels in the housing market," Journal of Environmental Economics and Management, Elsevier, vol. 62(2), pages 166-179, September.
    15. an de Meulen, Philipp & Micheli, Martin & Schaffner, Sandra, 2014. "Documentation of German real estate market data: Sample of real estate advertisements on the internet platform ImmobilienScout24, 2007-2013," RWI Materialien 80, RWI - Leibniz-Institut für Wirtschaftsforschung.
    16. Ana Ramos & Alicia Pérez-Alonso & Susana Silva, 2015. "Valuing Energy Performance Certificates in the Portuguese Residential," Working Papers 02-2015, Economics for Energy.
    17. Fuerst, Franz & McAllister, Patrick & Nanda, Anupam & Wyatt, Peter, 2015. "Does energy efficiency matter to home-buyers? An investigation of EPC ratings and transaction prices in England," Energy Economics, Elsevier, vol. 48(C), pages 145-156.
    18. Uwe Neumann & Lisa Taruttis, 2022. "Sorting in an urban housing market—is there a response to demographic change?," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 42(2), pages 111-139, August.
    19. Pontus Cerin & Lars G. Hassel & Natalia Semenova, 2014. "Energy Performance and Housing Prices," Sustainable Development, John Wiley & Sons, Ltd., vol. 22(6), pages 404-419, November.
    20. Zuehlke, Thomas W, 1987. "Duration Dependence in the Housing Market," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 701-704, November.
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    1. Ter Steege, Lucas & Vogel, Edgar, 2021. "German residential real estate valuation under NGFS climate scenarios," Technical Papers 09/2021, Deutsche Bundesbank.
    2. März, Steven & Stelk, Ines & Stelzer, Franziska, 2022. "Are tenants willing to pay for energy efficiency? Evidence from a small-scale spatial analysis in Germany," Energy Policy, Elsevier, vol. 161(C).

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    More about this item

    Keywords

    Energy efficiency; residential buildings; regional disparities; German housing market; hedonic analysis; housing value;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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