The paper aims to develop and adapt an econometric model for assessing and forecasting the impact of household energy efficiency and renewable energy deployment on reducing energy poverty in Ukraine. Due to the lack of updated statistical data after 2022 caused by the war, the adapted model was tested using pre-war data from the State Statistics Service of Ukraine and the World Bank for 2002-2021. As access to some prewar datasets was also restricted for security reasons in Ukraine, proxy indicators were applied, allowing adaptation to limited information conditions. The modeling results showed that a 1,000 USD increase in GDP per capita reduces the share of the population living below the national poverty line and, accordingly, the energy-poor population, by 3%. Conversely, a 1% increase in gross capital formation raises the energy poverty level by 0.5%, indicating no direct impact of investment in physical capital, including expenses on energy-efficiency measures, on household welfare. Household expenditures on utilities and the share of renewable energy in total energy consumption were found to be statistically insignificant. The study confirms that household income remains the dominant determinant of energy poverty, while improvements in energy efficiency and renewable energy development play supportive but not yet decisive roles. These findings highlight the need to integrate social and energy policies to raise household incomes, improve access to renewable technologies, and promote energy efficiency measures. The developed model offers a tool for enhancing state policies to alleviate energy poverty under wartime constraints and in post-war recovery.

Russia’s invasion of Ukraine turned wholesale electricity prices into a major, but uneven, driver of inflation across Europe. The article aims to quantify dynamic inflation responses to war-related electricity shocks and to identify distinct energy-inflation regimes conditioned by renewables penetration and structural characteristics. The analysis uses a balanced monthly panel of 26 European countries (2019-2025), combining two-way fixed-effects regressions with event-time “excess” inflation profiles and correlation-and clustering based on Dynamic Time Warping. Early-phase excess inflation around February 2022 ranges from about 0.53 percentage points (cluster 6) to 1.06 percentage points (cluster 3), with clusters 1 and 5 also showing strong overshoots (≈0.94-0.91), while only clusters 1 and 3 sustain elevated excess inflation in the medium phase (≈0.71-0.76) and all regimes converge to within-0.07 to +0.16 by the late phase. DTW clustering reveals six regimes with distinct pre-war configurations of electricity prices (approximately 49-59 EUR/MWh), renewable energy shares (approximately 24-55%), and unemployment rates (approximately 4.45-8.59%). A heterogeneous-slope FE model shows that a 100 EUR/MWh electricity shock raises the monthly HICP by only 0.03 percentage points in cluster 3 and 0.09 in cluster 5. In contrast, the effects in other clusters are small and statistically insignificant, confirming a highly uneven and often muted pass-through.

As cities continue to grow, managing the increasing amount of waste has become an important concern. The study intends to assess the effects of waste generation and treatment on total resource productivity, as well as its subset, energy productivity, in European Union (EU) countries. The research employs the Driscoll-Kraay standard errors fixed effect model using panel regression. The findings reveal that waste generation impacts negatively on overall resource productivity and energy productivity. Furthermore, waste treatment also has a negative impact on resource productivity and energy productivity. These results suggest that despite the reduction in waste volumes achieved through treatment, the process may still have a negative relationship with productivity outcomes. The paper explores the underlying reasons for these findings and evaluates the status of waste generation and treatment across EU countries. Implications suggest introducing public-private partnerships to strengthen waste treatment processes, eco-tax solutions, incentives to green organizations, penalties for environmentally harmful practices, and improved data accessibility for informed decision-making. This study evaluates waste treatment techniques in the EU, focusing on the implementation of circular economy principles to promote sustainable development, increase resource productivity, and strengthen waste management frameworks.