Exploring regional and settlement patterns of residential energy awareness in Hungary

This study investigates energy awareness in Hungary, focusing on households significantly contributing to final energy consumption and greenhouse gas emissions.It aims to identify regional and residential differences in energy efficiency and energy conservation measures implemented by households.The authors achieve this goal by establishing two new composite indicators quantifying the energy awareness of residential consumers: (1) the energy efficiency measures (EEM) index, and (2) the energy conservation measures (ECM) index separating investment-based activities and non-investment-based actions.Targeting the Hungarian population aged 30-69 years (N = 5,337,860), the study used a weighted sample (n = 3,651) based on gender, age categories, regions, and settlement types, ensuring representativeness.Data were collected using an online survey in November 2022.The most common measures included upgrading lighting, replacing windows and doors and choosing energy-efficient appliances.Although regional differences in the EEM index were not significant, cities with county status scored higher.ECM were also analysed, showing a wide acceptance across Hungary.There were no significant regional differences for the ECM index; however, cities with county status also scored at the top.A limitation of the study is its reliance on self-reported data collected through an online survey, potentially introducing biases and limiting the findings' accuracy.The study's findings can guide policymakers in designing targeted energy efficiency programmes and incentives that address the specific needs and motivations of different regions and settlement types in Lszl Molnr-gnes Horvth

Authors

Publication Details

Journal
Regional Statistics
Published
2025-01-01
DOI
https://doi.org/10.15196/rs150402
Citations
1
Primary Topic
Hungarian Social, Economic and Educational Studies
Type
article
Field-Weighted Citation Impact
6.72
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring regional and settlement patterns of residential energy awareness in Hungary

Anna Horváth, László Molńar
1 citations
Regional Statistics
Hungarian Social, Economic and Educational Studies
6.72
article

Exploring regional and settlement patterns of residential energy awareness in Hungary

Anna Horváth, László Molńar
article en
1 citations

Abstract

This study investigates energy awareness in Hungary, focusing on households significantly contributing to final energy consumption and greenhouse gas emissions.It aims to identify regional and residential differences in energy efficiency and energy conservation measures implemented by households.The authors achieve this goal by establishing two new composite indicators quantifying the energy awareness of residential consumers: (1) the energy efficiency measures (EEM) index, and (2) the energy conservation measures (ECM) index separating investment-based activities and non-investment-based actions.Targeting the Hungarian population aged 30-69 years (N = 5,337,860), the study used a weighted sample (n = 3,651) based on gender, age categories, regions, and settlement types, ensuring representativeness.Data were collected using an online survey in November 2022.The most common measures included upgrading lighting, replacing windows and doors and choosing energy-efficient appliances.Although regional differences in the EEM index were not significant, cities with county status scored higher.ECM were also analysed, showing a wide acceptance across Hungary.There were no significant regional differences for the ECM index; however, cities with county status also scored at the top.A limitation of the study is its reliance on self-reported data collected through an online survey, potentially introducing biases and limiting the findings' accuracy.The study's findings can guide policymakers in designing targeted energy efficiency programmes and incentives that address the specific needs and motivations of different regions and settlement types in Lszl Molnr-gnes Horvth

Regional StatisticsVol. 15(4)
Affordable and clean energy
Openalex Percentile: Top 4%
Hungarian Social, Economic and Educational Studies
6.72
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring regional and settlement patterns of residential energy awareness in Hungary — Anna Horváth, László Molńar · Regional Statistics (2025) | TGRS Research Map | TGRS