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The article proves that despite a significant growth in the service sector in recent years, industry remains the main engine of economic growth. Moreover, using the analysis of statistical data, it is shown that the development of industrial complexes of countries of the world is accompanied by corresponding structural changes, which in turn determines their economic development in general. The study aims to solve the following issues: which structure of the national industry can be considered progressive under modern conditions, i.e., can lead to progress and sustainable socio-economic growth; whether there is a correlation between the progressive structure of the country’s industry and its economic development and the quality of life of its population; how the approach of the country’s industrial structure to its progressive state influences the country’s economic development and quality of life of its population. The purpose of the study is to justify or refute the hypothesis about influence of progressiveness of the industrial structure on sustainable economic development and quality of life of the population. The main methods used in the study are cluster analysis and integral assessment. The statistical basis of the study is the data on inter-branch balances for 36 countries of the world for 2009, 2011 and 2014. The results obtained in the study allowed confirming the hypothesis about the positive influence of approach of the industrial structure of countries of the world to its progressive state on the sustainable economic development and quality of life of their population. This conclusion can be considered as the basis for forming the state policy of the world’s countries to develop their economies and improve the quality of life of their population.

The article proves that security of the national economy characterizes the ability of the country to withstand the destabilizing effects of various internal and external threats and to ensure its sustainable development. The study is carried out in the following stages: Diagnosing threats to security of the national economy → assessing the level of economic security of countries of the world → clustering countries of the world according to the level of economic security → modelling the impact of the national economic security on sustainable economic development of a country → forming measures to ensure security of a country’s economy. The basis for assessing the level of economic security of a country is a hierarchically constructed system of indicators, including composite, complex, and sub-indicators. The assessment of the level of economic security is carried out on the basis of international indices and rankings. The analysis of the correlation between the level of GDP per capita and individual indicators included in the composite indicator of economic security made it possible to identify those that should become the primary concerns of governments in order to enhance economic security as well as increase the level of GDP and ensure sustainable development of countries.

Competition in electricity markets leads to volatile conditions which cause persistent price fluctuations over time. This study explores the problem of electricity pricing fluctuations in the DE-LU bidding zone from October 2018 to March 2022 by applying time series analysis. The determinants of electricity price fluctuations are broken down into three groups: exogenous prices (gas, coal and CO₂ prices), internal (consumption and generation) and external (net import between neighboring bidding zones) electricity flows. Based on the SARIMAX model, we tried to combine all these factors to forecast electricity prices in the single bidding zone. It was found that the SARIMAX (1, 1, 2) × (3, 1, 0, 7) model with exogenous prices, internal and external electricity flows, which has the lowest AIC and MAPE values, is the best-fitted model for the DE-LU bidding zone. Anonymous trading and unpredictable individual bidding strategies lead to persistent price volatility, which causes electricity prices to deviate from fundamental trends. To reveal the risk factors, the SARIMAX model of electricity prices needs to be supplemented with a GARCH model of the residual returns. For forecasting electricity price residual volatility in the DE-LU bidding zone, the SARIMAX model with exogenous prices, internal and external electricity flows must be accompanied with the GARCH (7, 0) model.

(1) The war in Ukraine has changed the normal life of every Ukrainian, including educators. For the fourth month, the educational process has been taking place under martial law. Thus, the task of every pedagogue and every university teacher is to start the educational process not only for the sake of knowledge, because you cannot deprive children of education, but also for the sake of psychological rehabilitation. The war has given an impetus to the radical renewal of education, particularly higher education, which determines the relevance of this study. (2) It is common knowledge that the professional pedagogical activity of a university teacher is of great significance to society. It is about the formation of a future specialist, whose level of qualification considerably affects the economic, political, social, and cultural component of the sustainable development of society, something which is especially relevant in the post-war period. (3) The research hypothesis is that renewing the potential of university teachers in the post-war period will allow the improvement of the educational process in universities, will significantly increase the level of professional training of students and will ensure the sustainable development of society. To examine this hypothesis, the professional and personal potential of teachers was studied in detail with the aim of understanding radical changes in approaches to methods, techniques, and forms of education, as well as the type and style of communication between teachers and students. (4) The research methodology comprised a survey conducted by the CAWI method using a structured questionnaire based on the respondents’ place of permanent residence. The sample totality was stratified according to the regions of Ukraine where the teachers work. Teachers of Ukrainian higher education institutions took part in the study. The study sample included 350 people. The main task of the study was to analyze the potential of university teachers in the pre-war and post-war periods. The other tasks the study undertakes are to propose the concept of professional unity of students and teachers of higher educational institutions and to consider reflection as a tool; a tool which is a cross-sectional, integrating factor that structures the education system in various types of professional activity. (5) The undoubted achievement of the work is that, for the first time, the state of higher education was analyzed under war conditions and its development in the post-war period was predicted. This will aid the country’s recovery and ensure the sustainable development of society in the post-war period. This study can complement and enhance the theoretical discussion and practical experience on sustainable development from the perspective of higher education.

Ensuring the sustainability of the European power system is one of the key priorities in the implementation of the EU’s ambitious plans to become climate-neutral by 2050. The uniqueness of the power systems of the EU member states necessitates their assessment and comparison. The article offers a composite indicator, namely, the power system sustainability index (PSS index), to assess the current level of the development of the power systems via three dimensions (social, economic, and environmental) and eight local indicators: the household electricity consumption per capita; the commercial electricity consumption per GDP; the external dependency of the power system; the energy efficiency of the generation; the capacity utilization factor; the share of organic fossil fuels; the share of renewable energy resources; and the greenhouse gas (GHG) emissions per unit of primary energy source. The “energy mix” is defined as the key impact factor, which has a contradictory effect on the local power system sustainability (LPSS) indicators, which can be represented as a set of regression models. The data of the regression analysis can be used for performing a multiobjective optimization by the local indicators, and they can determine the vectors of change required to ensure the sustainability of the power system. The research results prove that it is possible to minimize the GHG emissions per unit of primary energy source and maximize the energy efficiency of generation, while reducing the capacity utilization and increasing the external dependency of the power system.