Author information:
Mónika Bene: Hungarian Central Statistical Office, Statistician. E-mail: monika.bene@ksh.hu
Antal Ertl: Hungarian Central Statistical Office, Statistician; Corvinus University of Budapest, Phd Student. E-mail: antal.ertl@ksh.hu
Áron Horváth: ELTINGA Centre for Real Estate Research, Founder; Hungarian Energy Efficiency Institute, Managing Director. E-mail: horvathar@eltinga.hu
Gergely Mónus: Hungarian Central Statistical Office, Statistician; Corvinus University of Budapest, Phd Student. E-mail: gergely.monus@ksh.hu
Judit Székely: Hungarian Central Statistical Office, Head of Section. E-mail: gaborne.szekely@ksh.hu
Abstract:
In our study, estimates are made for the distribution of the Hungarian residential real estate stock in 2020 by energy characteristics. In our calculations, which are novel in Hungary, a new database has been compiled by combining the energy certificates issued since 2016, the 2016 Microcensus and the housing construction statistics of the HCSO. Energy performance certificate data are assigned to the dwellings included in the Microcensus and to the 68,000 new dwellings built in the period since then. A statistical relationship is established between the characteristics and the energy demand of dwellings, which is then extrapolated to the stock as a whole. This is processed to present the estimated calculated energy consumption per square metre of the Hungarian residential real estate stock and the characteristics of the estimate by area and real estate type. Our results can support sustainable mortgage lending in the financial system.
Cite as (APA):
Bene, M., Ertl, A., Horváth, Á., Mónus, G., & Székely, J. (2023). Estimating the Energy Demand of the Residential Real Estate Stock in Hungary Based on Energy Performance Certificate Data. Financial and Economic Review, 22(3), 123–151. https://doi.org/10.33893/FER.22.3.123
Column:
Study
Journal of Economic Literature (JEL) codes:
G21, O13, Q40, R30
Keywords:
flat, energy, EPC, EU Taxonomy
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