Energy consumption reduction and energy efficiency improvement are recognized as global priorities in the context of the green economy and sustainable development. In this paper, determinants of energy efficiency and energy consumption for the panel of 11 post-communist countries in the Eastern Europe during 1996–2013 are investigated. The stochastic frontier function approach and comparative analysis were used to examine long-run dynamic relations. The research results show that GDP growth is a key factor increasing both energy efficiency and energy consumption. The research results on energy efficiency relations show that CO₂ emissions per capita, a fixed capital and the share of industry in the economy are other important drives. In the context of per capita energy consumption growth, the factors of structural changes determined by industry share in the national economy and innovation concerned with development and implementation of high technologies are significant. The European Union accession and participation in the European energy policy promote to energy efficiency improvements in the post-communist countries while progress in governance and enterprise restructuring as measured by the European Bank for Reconstruction and Development is not important for energy efficiency and per capita energy consumption in the post-communist countries. According to the research results, energy efficiency policy in the sample countries should be aimed at providing further economic growth enhancing a positive impact of other factors and implementing energy efficiency projects.

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.

The development of human civilization is related to the constant change of economic formations, and the current social and economic situation is determined by such concepts as Society 5.0, Fourth, and Fifth Industrial Revolutions (FIR, FiIR). The paper aims to estimate the change of human role in each economic formation caused by industrial revolutions. A structured review methodology with a focus on biological, labor, and personal entity of human within the industrial revolutions is used. The description of the changes between the biological, labor, and personality entities of human in various socio-economic formations is discussed. The human as a biological entity is not changed in the first four industrial revolutions, while the FiIR tries to change the biological entity through augmenting the physical capacity. The human as a labor entity is not changed in the first three industrial formations, while the FIR tries to replace the majority of physical human jobs and opens the gate for creative economy and decisions-making. The direct labor participation is minimized within FIR since the economic systems move to the transition to the dominant role of cyber-physical systems. The personal human development is triggered within the FiIR, since informational diversity in economic systems is actualized, and conditions for creative jobs within the creative economy are formed. The biological, labor, and personality entities of human are sequentially actualized within the economic formation caused by industrial revolutions.

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.

Digitalization, dematerialization of production and consumption, and structural shifts in the direction of service economy forming do promote to reduction of material use and sustainable development. The paper aims to investigate the role of digital, structural, economic, and social factors in sustainable development promotion in OECD countries. The paper uses the data on digital achievements, social and economic development of OECD member states from World Bank data sources for the period 2007–2018. The random-effects GLS regression model is used, and empirical regression models to estimate the influence of key factors related to digital transformation on GDP per capita and CO2 emissions per capita are constructed. The results of the regression analysis show that using the number of Internet users as an indicator for achievement in digitalization has a positive and statistically significant influence on GDP per capita due to lower transaction costs and higher share service economy. An increase in urbanization rates (as an indicator of capital concentrations and labor specialization) by one percent promotes a GDP per capita increase of 299 USD. Also, an increase in Gini coefficient by one percentage point correlates with decrease in GDP per capita on 196 USD and the reduction of CO2 per capita by 0.12 tones due to the structural shifts in aggregate demand. Still, improvements in digital transformations have no significant environmental effect in OECD members, while processes related to urbanization, income inequality, and share of industrial output are important drivers for CO2 per capita reduction. AcknowledgmentsThe paper contains the results of a study conducted within the framework of research projects: “Sustainable development and resource security: from disruptive technologies to digital transformation of Ukrainian economy” (No. 0121U100470); “Fundamental bases of the phase transition to an additive economy: from disruptive technologies to institutional sociologization of decisions” (No. 0121U109557).

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.