Sustainable development of the global economy can be achieved with the help of renewable energy (RE). The paper investigates the determinants of RE development in order to boost its adoption. The determinants of RE deployment were analyzed using random-effects GLS regression for the panel data from 27 EU member states in 2011–2020.The results confirm that economic development and high employment in advanced technology manufacturing are drivers of the RE sector, whereas unemployment growth affects RE deployment negatively. Our results show that active political participation and economic freedom promote RE; however, the level of corruption and democracy does not have a statistically significant impact on it. Favorable geographical location was proved to be a determinant of RE development. The hypothesis that plenty of natural resources discourage countries to develop RE was disproved. The major policy implications for RE promotion include the importance of economy deregulation, open market development and educational transformations. Following the results, prospects for further research were outlined.

This paper proposes methodological approaches to assessing the impact of renewable energy and energy efficiency development on emerging economies’ energy security. It is suggested to supplement the current methodology for assessing energy security with the decoupling index of the renewable energy financial burden on the state budget, the energy efficiency decoupling index, the households’ energy poverty indicator, the index of capacity development for balancing electricity generation volumes, and the energy fluctuations indicator. These indices provide a comprehensive assessment of energy security under the latest challenges. Thus, the COVID-19 pandemic in the Ukrainian energy sector led to the “green and coal paradox”, when the government decided to keep green electricity generation but limit nuclear generation. It required increased flexible capacities (thermal generation) and led to a rise in electricity prices and environmental pollution. Forecasting energy fluctuations with Butterworth filters allows minimizing the risks of maximum peak loads on the grid and timely prevention of emergencies. The energy fluctuations within the 20% range guarantee energy security and optimal energy companies’ operation. It is proposed to smooth out energy consumption fluctuations through green energy development, smart grids formation, energy efficiency improvements, and energy capacities balancing to ensure energy and economic sustainability.

CO₂ emissions have become a key environmental contaminant that is responsible for climate change in general and global warming in particular. Two geographical groups of countries that previously belonged to the former bloc of socialist countries are used for the estimations of CO₂ emissions drivers. The research covers such Eastern European countries as Bulgaria, Czech Republic, Hungary, Russian Federation, Poland, Romania, Slovak Republic, and Ukraine and such Central Asian states as Kazakhstan and Uzbekistan during the period 1996–2018. The main goal of the research is to identify common drivers that determine carbon dioxide emissions in selected states. To control for the time fixed effects (like EU membership), random effect model was used for the analysis of the panel data set. Results: It is found that energy efficiency progress reduces per capita CO₂ emissions. Thus, an increase in GDP by 100 USD per one ton of oil equivalent decreases per capita CO₂ emissions by 17–64 kg. That is, the more energy-efficient the economy becomes, the less CO₂ emissions per capita it produces in a group of selected post-communist economies. Unlike energy efficiency, an increase in GDP per capita by 1000 USD raises CO₂ emissions by 260 kg per capita, and the richer the economy becomes, the more CO₂ emissions per capita it generates. The increase in life expectancy by one year leads to an increase in CO₂ emissions per capita by 200−370 kg, with average values of 260 kg per capita. It was found that an increase in agriculture, forestry, and fishing sector share (as a % of GDP) by one percentage point leads to the decrease in CO₂ emissions by 67–200 kg per capita, while an increase in industrial sector share by one percentage point leads to the increase in CO₂ per capita emissions by 37–110 kg. Oil prices and foreign direct investment appeared to be statistically insignificant factors in a group of selected post-communist economies. Conclusions: The main policy recommendation is the promotion of energy efficiency policy and the development of green economy sectors. The other measures are the promotion of a less energy-intensive service sector and the modernization of the industrial sector, which is still characterized by high energy and carbon intensity.

The growth of renewable energy facilities worldwide creates new challenges for sustainable regional development. Unregulated investment flows in the green energy sector cause disparities in the deployment of various renewable energy technologies, worsen the ability to balance national energy systems, etc. This article is the first comprehensive study that offers a methodology for multifactor modeling of investment flows in regional green energy deployment considering the priorities of national, regional, and local authorities within the sustainable development concept. The proposed methodological approaches help (1) determine the types of renewable energy technologies for priority development in the region, (2) select specific green energy projects to receive budgetary support on territories, and (3) form the optimal mechanism for budget financing distribution on regional development of renewable energy technologies. The modeling factors include natural conditions and resource base of a territory; its economically feasible renewable energy potential; the territory’s energy needs; installed capacity and electricity generation of new green energy facilities; power plants’ life cycle duration, the investment amount, etc. The model approbation on the example of household solar and wind power plants in the Sumy region, Ukraine, has shown the need to significantly increase financial support for renewable energy projects, primarily due to the region’s energy deficit. Calculations revealed that the interest-free loan share for both technologies should be 2.843 and 2.844 times higher than the basic share of lending (20%). For the 30-kW solar power plant project, the indicator should be 64.67% instead of the basic one of 56.86% for home solar energy facilities. Thus, the methodological approaches presented in the article are new tools that allow territorial authorities to purposefully shape and manage investment flows in the renewable energy sector to ensure sustainable energy development of regions worldwide.

Households are responsible for more than one-third of global energy consumption and exert a significant environmental impact. Therefore, energy efficiency and renewable energy issues have been a top theme in the literature, with numerous studies examining different facets of residential power consumption, green energy transition, decarbonization, and energy conservation. Despite extensive attention, these research trends and frontiers remain largely uncharacterized and poorly understood. This study aims to provide clear insights into the evolution and latest trends of household energy efficiency and renewable energy studies, reveal significant contributing countries, institutions, and authors of published papers, as well as directions of international collaboration. The method of bibliometric analysis with two supporting instruments (the SciVal platform and Scopus “Analyze search results” tool) was used to investigate an array of 3,761 research items on renewable energy and 4,474 items on energy efficiency in homes formed from the Scopus database. The studied period includes papers published during 1978–2023. The systematic review indicated that the United States, the United Kingdom, and China are primarily contributing countries with strong international collaboration in this field. The top journals include Energy Policy, Energy Efficiency, Energies, and Sustainability, while highly cited researchers investigate environmental, economic, and social effects and management mechanisms for introducing innovative energy-efficient and renewable energy technologies in households like smart meters and grids or the Internet of Things. The research frontier might encompass emerging and pioneering studies on home decarbonization strategies, behavioral interventions, energy saving, prosumerism, and optimization of energy consumption. AcknowledgmentThe paper is prepared within the framework of the research project “Formation of economic mechanisms to increase energy efficiency and provide sustainable development of renewable energy in Ukraine’s households” (No. 0122U001233), funded by the National Research Foundation of Ukraine.

The current green agenda, the climate change, and sustainability frameworks are closely linked to the successful transition to renewable energy. The study purpose is to estimate the influence of economic and environmental drivers of renewable energy promotion in the EU-27, using the 2013–2021 data for member states. Breusch and Pagan Lagrangian multiplier test and Hausman specification test were performed to determine the proper model specification. Using random-effects GLS regression for selected data, the study found that the rise in the magnitude of the Land-Ocean Temperature Index by one unit contributes to an increase in renewable energy sources by 10-16 percentage points. The rise in natural gas prices in the EU by USD 10 per MMBtu is associated with an average growth of renewable energy sources by 2.1-2.6 percentage points and three percentage points for growth in renewable electricity. An increase in GDP per capita of USD 1,000 led to an average increase in renewable electricity by 0.2 percentage points. An increase in CO2 per capita by one ton is associated with an average decrease in renewable electricity by 0.85 percentage points. This study proves that the critical point of GDP per capita within the “economic growth/renewable energy” nexus when economic stimulus starts to decline was estimated at USD 121,227-148,623. Thus, for countries that have reached the break-even point in GDP per capita, the incentives for introducing renewable energy sources are reduced when the effect of wealth prevails over the impact of environmental awareness and responsibility. AcknowledgmentsThis paper is supported by a grant “Formation of Economic Mechanisms to Increase Energy Efficiency and Provide Sustainable Development of Renewable Energy in Ukraine’s Households” (No. 0122U001233), funded by the National Research Foundation of Ukraine.