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The background of this article is the potential energy savings of solar heat supply systems due to the use of the renewable energy of solar radiation. The motivation is to create a solar collector design that would combine the functions of both a building cover and a solar collector. It is necessary to investigate and compare different types of solar collector coatings (traditional and modern) and pipe diameters. The purpose of the article is to solve aspects of energy efficiency for new eco-friendly solar collectors. The most effective result occurred with the solar collector covered with the rubber–graphite composition of Grafplast PDA, and when using Prandelli/Tuborama pipes with a diameter of 0.016 m. Their efficiency increased by 8% compared to the second version of the collector made using a more traditional solution. The influence of the distance between the pipes and the flow rate of the heat carrier on the efficiency of the solar collectors was evaluated.

The purpose of the study was to assess the efficiency and accessibility of microcredits for small Ukrainian enterprises and to justify the feasibility of strengthening government contributions in lending to ensure the sustainable development of small businesses. Indicators for evaluating the efficiency and accessibility of microcredits are systematized. Methodological approaches to assessing the efficiency of lending for the creation and development of microenterprises have been improved. A model for evaluating the efficiency of microcredits aimed at the survival of microenterprises in a deteriorating environment was developed. It has been revealed that the level of efficiency of microcredit creation for firms in some time intervals depends quadratically on the share of microcredits in the total amount of funds directed to the creation of firms. A linear relationship between the relative amount of credit received and the growth rate of firms’ assets has also been established. However, there is no significant impact of the microcredit’s amount on labor productivity. A method has been developed for evaluating the budgetary efficiency of microcredits when such a lending is carried out using funds from state or local budgets. It was found that improving these lending conditions through budget financing can significantly increase its attractiveness for microenterprises without significantly reducing the budgetary efficiency of microcredits. This article substantiates the need to strengthen state support for microcrediting of small Ukrainian enterprises in the context of the COVID-19 pandemic.

Innovation is the engine and accelerator that drives high-quality economic and enterprise development. In recent years, the output of scientific and technological innovation in China has been high, but the phenomenon of low efficiency and low quality of innovation occurs frequently. In this study, first, technological innovation efficiency (TIE) was measured. Then, a dynamic evaluation and analysis of spatial-temporal characteristics of efficiency were performed. Lastly, the driving factors of innovation efficiency were explored. TIE was calculated dynamically in 30 provinces of China from 2011 to 2019 based on the improved super-efficiency SBM-DEA model. Then, the kernel density estimation method was adopted to analyse the spatial-temporal differentiation characteristics and dynamic evolution process of provincial efficiency. The findings confirm that from 2011 to 2019, the top five provinces for TIE in China were Beijing (1.0), Shanghai (0.96), Hainan (0.96), Jilin (0.94) and Tianjin (0.91). The provinces with lowest average efficiency were Qinghai (0.77), Ningxia (0.73) and Inner Mongolia (0.73). The significant differences in the level of technological innovation in different regions were caused by the long-term and in-depth implementation of the government’s strategy of revitalising science and driving innovation in parts of areas. The findings of kernel function confirm that the TIE in most parts of China was gradually polarised. Furthermore, the results show that for every 1 unit of government R&D funding support, the average marginal utility of the expected TIE will reach 0.192, which is more significant in the central and western regions. On this basis, combined with environmental factors of innovation market, infrastructure, financing and enterprise innovation potential, the article also extracts the driving factors that affect the differences in provincial efficiency. The findings provide a reference for guiding provinces to carry out innovation activities independently and improve innovation quality and efficiency.

Income distribution can cause large-scale transformations in human resources structure, essential changes of economic outputs via its impact on life satisfaction and motivation of work. Thus, the overall objective of this research is to improve methodological tools of income distribution analysis based on identifying the links between different structural indicators of income inequality and the most essential features of social and economic well-being. We conducted comparative analysis of EU Member States and Ukraine. We used structural analysis based on two forms of income distribution—functional (share of “labour” in Gross domestic product - GDP) and household one (ratio of incomes measured by special decile coefficients) to identify income inequality and inconsistencies in distributive strategies. By grouping European countries according to economic well-being (described as GDP per capita) and inequality in income distribution (based on Gini coefficient), we determined apparent tendencies in distributive policies and revealed links between income distribution and connected social-economic features of well-being. We conclude that countries with the most stable and clear patterns in income distribution have distinct connections between the share of labour costs in GDP and successes in social and economic spheres, including human development level, property rights protection, GDP growth, possibilities for taxation and budgeting of social programmes.

One of the three most important components of the effective work of an organization or enterprise in the energy sector is properly organized staff work. Thus, all the risks arising in this process should be given proper consideration. Conventional methods can hardly be of any assistance, which is why this paper proposes the innovative rapidly adaptive model for the evaluation of existing risks and the forecasting of emerging ones due to the COVID-19 pandemic in modern personnel management. The model employs a probability theory and applies it to four major risk groups, which are related to many factors. It also describes the methods of mitigating these risks. This made it possible to improve personnel management efficiency, thus offsetting the adverse consequences of the COVID-19 pandemic.

For the Ukrainian population, there are factors surrounding the choices and preferences one must consider when changing permanent residence. Smart residential areas should be built according to Ukrainian legislation and global innovations, which would reduce administrative dislocations, the load on megalopolises, and negative anthropogenic impacts, and should be based on the increase in energy efficiency and reducing waste. We analyzed the core principles of designing smart residential areas and concluded that constructing cutting-edge residential areas should involve private investments in order to avoid shadow schemes and irrational use of funds (in the Ukraine, the share of the shadow market is more than 50%). Research shows that, as humans inhabit a three-dimensional space, it is possible to predict migration and other permanent residence/behavioral responses, the analysis of which allows controlling migration flows and improves the conditions of Ukraine’s small residential areas based on decarbonization. We conclude that energy saving systems can reduce consumption in a city by 60% and improve Ukraine’s ecosystem. Research also shows that reducing “dislocation”, in terms of population density, by creating open, innovative, eco-friendly environments based on green economy principles, can provide innovative development maps and economic, social, and cultural population growth, decreasing the load on big cities/regional economies, and encourage the restoration of sales markets and production after the COVID-19 pandemic. We developed a model to assess the innovativeness of residential areas, apply alternative methods of energy generation, and analyze the impact of the energy production and consumption market in Europe (with recommendations for the Ukraine). This article estimates energy intensity indicators of the gross domestic product in the Ukraine and in Europe, offering methods to decrease energy dependence and increase energy efficiency in the Ukraine, by adopting alternative energy sources (e.g., biohydrogen out of residues, air, and solar energy), and enhancing environmental legislation.

Containerization is one of the most important topics for modern data centers and web developers. Since the number of containers on one- and multi-node systems is growing, knowledge about the energy consumption behavior of single web-service containers is essential in order to save energy and, of course, money. In this article, we are going to show how the energy consumption behavior of single containerized web services/web apps changes while creating replicas of the service in order to scale and balance the web service.

The interconnected global trading system has proved to be both vulnerable and resistant to crises, despite its asymmetries. The global trading system is constantly changing under the influence of such factors as the digitalization of economic processes and the growing number of nontariff measures to regulate trade volumes, including trade protection measures introduced by countries in order to ensure national economic interests etc. This article analyzes the impact of the tariff and nontariff instruments of export and import regulation on the asymmetries of the global trading system across countries and separate customs territories, depending on their presence in geographical regions or groups of countries associated with different levels of economic development. In order to quantify the possible asymmetries in the global trading system, analysis of variance and regression analysis are applied to explain the variance in the volume of global trade. The regression models for the dependence of export volumes on a number of trade indicators are fitted for developed, developing, and least-developed countries alongside the global trading system as a whole. The research showed that asymmetries of the global trading system exist on the global, regional and bilateral levels. In this research, two types of asymmetries are discussed: asymmetry directly and indirectly linked to international trade processes. To ensure economic development, the global trading system must be modernized so as to reduce the asymmetry. Accordingly, in order to increase effectiveness of the World Trade Organization, suggestions are proposed in regards to reconsidering trade-dispute settling, improving the monitoring of members’ obligations, increasing negotiation process efficiency and defining criteria for categorizing members according to their economic development.