Financial Mechanisms and Risk-Based Modeling of Energy Efficiency and Renewable Energy Adoption in Households
Year: 2025
Type: article
Abstract: The research aims to evaluate financial instruments on household uptake of energy efficiency and renewable energy towards different risk scenarios. The study addresses the problem of behavioral response to financial incentives when technological, financial, or institutional risks are perceived as continuous. Two sophisticated models were used for the analysis to quantify the effect of subsidies, green loans, personal income, energy costs, and governmental support for energy efficiency and renewable energy uptake. The research data came from the UK, Estonia, Germany, Poland, and Ukraine between 2022 and 2024. The results suggest that countries experiencing drops in risk indices with strong institutional support, such as Germany and the UK, had maximum improvement in energy efficiency (as high as 598.72 kWh saved a year) and renewable energy implementation rates (above 30%). Countries posing high risk, like Ukraine, require more potent and custom-made strategies to achieve comparable advances compared to a less-risky environment. The evidence indicates that even financial mechanisms are most fruitful if they are complemented by risk management tactics. With these results, policymakers can proceed with useful information in formulating economically appropriate strategies that rely on realistic assumptions of behavior.
Source: Energies
DOI: 10.3390/en18215799
Institutions: Armenian State University of Economics, Estonian Entrepreneurship University of Applied Sciences, Sumy State Pedagogical University named after A. S. Makarenko, Institute for Economics and Forecasting of the National Academy of Sciences of Ukraine, AGH University of Krakow, Sumy State University, Uniwersytet Pomorski w Słupsku, Ukrainian Catholic University, Wrocław University of Science and Technology
Language: English
Field: Energy
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,137
Award: G924234365
OpenAlex ID: W4415818450
