Energy Consumption Behaviour During the Energy Transition: Policy Implications from Ukraine

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:Provides empirical evidence on behavioral clustering in energy consumption, useful for designing demand-side management studies.

🏢実務担当者:Offers insights for segmenting customers and tailoring energy efficiency programs based on behavioral profiles.

🏛政策担当者:Suggests integrating behavioral data with regional characteristics to craft targeted energy policies.

Recent studies indicate that regional disparities and differences in policy effectiveness have increased the importance of behavioural factors, including awareness, social norms, motivation, and cultural practices, in shaping energy transition outcomes. This study adopts an interdisciplinary framework that integrates behavioural, socio-technical, and regional development perspectives to explain household energy consumption behaviour and to translate behavioural evidence into policy recommendations. The study aims to identify and empirically assess the profiles of household energy consumption behaviour during the energy transition, examine how these profiles shape behavioural patterns, and develop differentiated policy recommendations. The empirical analysis is based on a survey of 997 household representatives from different regions of Ukraine. Exploratory factor analysis was applied to identify the main behavioural dimensions, K-means cluster analysis was used to classify respondents into behavioural profiles, and Pearson’s χ2 test was employed to examine the association between categorical characteristics and cluster membership. The findings reveal three distinct behavioural clusters characterized by different levels of awareness, engagement, and readiness to adopt energy-efficient practices. The identified clusters represent individual-level behavioural profiles rather than territorial categories. Although the region of residence was significantly associated with cluster membership, regional characteristics should be interpreted as associated with the socio-economic, climatic, and infrastructural context in which different behavioural profiles emerge rather than determining individual behaviour directly. The findings provide evidence for integrating behavioural segmentation with regional characteristics when designing energy efficiency and demand-side management policies, thereby supporting more targeted and effective energy transition strategies in Ukraine.

• openalex https://doi.org/10.3390/en19143414first seen 2026-08-08 04:47:10