Purpose is to substantiate foundations of sustainable management of mineral resources while implementing a circular economy model. Methods. The study has applied following research approaches: synthetic method (unification of the singled out aspects); induction method (analysis of a circular economy features); life cycle assessment (evaluation of the product influence on the environment from the viewpoint of each stage of its life cycle); circular economy toolkit (determination and evaluation of the periodicity of circular economy products and indicators); and circular economy indicator prototype (evaluation of the cyclic product efficiency). Findings. Circular economy is one of the key directions of a sustainable development policy as for conservation and protection of mineral resources; it is aimed at more efficient use and improvement of raw material extraction from industrial waste. Formation of a market infrastructure of the circular economy has been proposed based upon mining sector waste use to process it and reduce as well as to repurpose wasteless production and secondary processing of raw materials. The need has been substantiated to contribute to conservation of mineral resources for their sustainable use on the basis of the development of market infrastructure of a stable economy and mining sector waste use to process it and reduce as well as to repurpose wasteless production and secondary processing of raw materials. Originality. A concept for further development of the circular economy market infrastructure has been specified as a platform of production waste supply/demand to optimize the use and conservation of mineral resources on the principles of sustainable growth. It has been proposed to analyze assessment of business development along the lines of a circular economy while calculating parameters when manufacturing is applying primary mineral resources and industrial waste as a raw material for its further processing. Practical implications. The proposed approach of interaction between economic entities on the basis of a circular economy will provide rational use of mineral resources and contribute to the development of a sector of industrial waste processing. The abovementioned will help terminate decrease in the availability of mineral resources and form new milestones of social development on the principles of environmental friendliness and rationalism in the process of interaction with nature.

Biogas production from agricultural waste reduces methane emissions and addresses climate change challenges by converting livestock and organic waste into energy. This study analyzed biogas production in agricultural enterprises under the European Green Deal, the advantages of biogas as an energy source, and the use of digestate in agriculture. The raw material for biogas production from agro-industrial wastes in Ukraine has been investigated, showing that the country’s biogas production potential amounts to 34.59 billion m³, including 0.65 billion m³ from processing plant wastes. The main types of biomass that can be used for biogas production in Ukraine are crop residues (71.4%), manure (26.6%), and food industry waste (2.0%). The implementation of biogas production projects will reduce greenhouse gas emissions by 3.98 billion tons of CO₂ and increase profits through electricity sales. This study examines the barriers and prospects for the development of electricity generation from biogas in Ukraine in the context of the integration of Ukraine’s energy system into the EU energy space. Directions for developing the biogas industry, focusing on electricity production within the framework of European decarbonization initiatives, will enhance the energy security of Ukraine and the EU. Estimating the energy production from agricultural waste allows for determining biogas output from organic waste. A regional biogas cluster model was developed based on the agro-industrial complex, which combines the production of biogas, electricity, water, and biofertilizers with increased efficiency and regional sustainable development.

The massive consumption of conventional recyclable products causes environmental pollution, so it is very important to raise public awareness about the use of green plastics. This study assessed a comprehensive understanding of the behavioural intention model of green plastic products from the perspective of the new generation. This study uses data collected from 551 new-generation customers of environmentally friendly recyclable plastic products in Indonesia. Data analysis employing partial least squares reveals that the behavioural intention model, including perceived quality, perceived value, trust, and satisfaction as determinants, is a fit across these generation cohorts. Further, this study claims that customer satisfaction is the main driver of behavioural intention, while trust is the main determinant of satisfaction with green plastic products for both generations. Finally, this study shows that millennial satisfaction is driven by perceived value, whereas new-generation satisfaction is determined by perceived quality. The study only considered behavioural intention, including quality, value, trust, and satisfaction as the drivers, meanwhile, other potential factors could influence the intention significantly as well. These findings specifically apply to green plastic products but not to other kinds of green products. In addition, the government can devise better policies supporting green products by offering tax incentives for recyclable products.

This study examines methods for assessing the risks of energy systems that supply urban areas based on an integrated approach in which a qualitative assessment takes into account internal and external impacts as an element of a multifactorial analysis. A risk matrix is offered for risk assessment, which was built for energy infrastructure facilities and takes into account the features of the functioning of energy equipment which is potentially dangerous due to the probability of failures on a five-point scale and the possible degree of severity of the consequences due to the possibility of restoring the systems. The study proposes two statistical models for the assessment of reliability parameters before the onset of a critical situation and calculations after a critical event, i.e., the probability of the restoration or adaptation of the energy system object being analyzed and the degree of such restoration. This approach allows for the consideration of risks, taking into account both the technical condition of power equipment and environmental aspects, including their mutual influence, for sustainable management. This approach evaluates the energy system’s failure intensity and recovery probability based on the parameters developed to assess the system functionality and resilience effectively. A risk assessment using reliability parameters based on maximum likelihood estimation (MLE) showed that when sampling statistical data with a total number of n = 10, the accuracy of risk assessment according to indicator parameters increases by 15%, which is especially relevant for the potential safety of urban energy systems. A list of threats is proposed for the multifactorial risk analysis of an energy company based on an expert assessment of their likelihood and consequences. The constructed risk matrix reduces the level of threat, which helps to increase the efficiency of risk management both at the stages of planning and forecasting and during operation, including the management of socio-economic consequences.

This article is devoted to an analytical review of the situation in the energy sector of Ukraine, taking into account constructive changes in the connection of the Ukrainian energy system to ENTSO-E and the destructive situation caused by industrial infrastructure failures and economic renewal....

Increasing energy security in the face of rising energy demand and declining funding for fossil fuels has necessitated the diversification of energy supply and the shift to renewable energy. Sustainable management of energy supply is aimed at achieving a low-carbon intensity of production,...