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Bridging the information gap: what are the impacts of EPCs on Prague’s residential market selling prices?

Author

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  • Podškubka Tomáš

    (Department of Finance and Business Valuation, Faculty of Finance and Accounting, Prague University of Economics and Business, Czechia)

  • Rýdlová Barbora

    (Department of Finance and Business Valuation, Faculty of Finance and Accounting, Prague University of Economics and Business, Czechia)

  • Arlt Josef

    (Department of Finance and Business Valuation, Faculty of Finance and Accounting, Prague University of Economics and Business, Czechia)

Abstract

It is assumed that energy performance certificates (EPC) can promote energy efficiency, increase property values, and improve market liquidity by providing trustworthy energy performance information. This article will provide a comprehensive study of the impact of EPCs on the residential selling prices in Prague, the capital of the Czech Republic. For the analysis, the original dataset was extracted from the publicly accessible sreality.cz portal. The hedonic regression model was applied to evaluate how the EPC influences the selling price of apartments in Prague. The regression analysis results are entirely in line with the analyzed current literature. EPC ratings have been proven to significantly affect the selling price in Prague and several other locations. In the most affluent locations of Prague, i.e., typically historical locations, the EPC ratings have not proved to be a statistically significant price factor because these locations suffer from excess demand and limited supply of properties.

Suggested Citation

  • Podškubka Tomáš & Rýdlová Barbora & Arlt Josef, 2025. "Bridging the information gap: what are the impacts of EPCs on Prague’s residential market selling prices?," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 21(4), pages 39-50.
    • Handle: RePEc:vrs:finiqu:v:21:y:2025:i:4:p:39-50:n:1004
    DOI: 10.2478/fiqf-2025-0026
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    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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