Economic development of countries, regions or entities operating on the market is possible when favourable economic conditions outweigh adverse conditions. Examining the development of European economy, it is possible to observe this regularity in the majority of periods, i.e. the bull market had a more intense and longer impact on the economy in comparison with the bear market, enabling constant economic development of Europe. Globalisation, a relative ease of financing investment activity, financial over-liquidity, negative interest rates: all of them result in the fact that previously verified and correctly operating mechanisms and market models have become unpredictable. During the latest crisis, the European real property market lost some part of its potential. The loss varied in individual EU member-countries. Some of them coped with the crisis quite successfully, others managed to do so on the average, still others have felt its effects until today. Making use of regressive techniques, the author undertook to measure and assess the impact of the global crisis on the property market. Consequently, the effects and intensity of its impact regarding the number of issued building permits, number of the employed in construction industry, value of construction production and prices of real property were measured.

Accurate price forecasts on the EU ETS market are of interest to many production and investment entities. This paper describes the day-ahead carbon price prediction based on a wide range of fuel and energy indicators traded on the Intercontinental Exchange market. The indicators are analyzed in seven groups for individual products (power, natural gas, coal, crude, heating oil, unleaded gasoline, gasoil). In the proposed approach, by combining the Principal Component Analysis (PCA) method and various methods of supervised machine learning, the possibilities of prediction in the period of rapid price increases are shown. The PCA method made it possible to reduce the number of variables from 37 to 4, which were inputs for predictive models. In the paper, these models are compared: regression trees, ensembles of regression trees, Gaussian Process Regression (GPR) models, Support Vector Machines (SVM) models and Neural Network Regression (NNR) models. The research showed that the Gaussian Process Regression model turned out to be the most advantageous and its price prediction can be considered very accurate.

This article presents several selected economic consequences of the currently changing number of students in towns and cities in Poland, which has become an increasingly significant issue in view of the dramatic demographic transformations going on nowadays. The aim of the study is to analyze the impact of the changes on local enterprises operating in selected sectors of local economies of the academic towns and cities in the country. The results of the analysis confirm the assumption that selected academic towns can be affected not only by depopulation, but also by a decreasing number of students and—in consequence—a decreasing number of small trade and service enterprises. The authors conclude that co-incidence of these issues can pose a serious threat to local economies, especially where rapid negative economic and demographic changes have already been observed. The changes presented can be treated as the major threat to further sustainable development of Poland.

The research carried out describes the provision of COVID-19 funding in individual EU Member States under the ongoing operational programmes of the EU financial perspective in the period 2014–2020. This was followed by identification of the most important areas of support and the amounts allocated to them for Poland and its sixteen voivodeships under the available EU funds from the 2014–2020 perspective. Types and forms of support for health services from the funds of the Regional Operational Programme for the Opolskie Voivodeship 2014–2020 (ROP WO) were analysed in detail. The obtained results showed that Italy, Spain, and Poland provided the largest values of support under the available operational programmes from 2014–2020 to combat the effects of COVID-19. In Poland, funding was mainly provided by the European Regional Development Fund, with the dominant support allocated to entrepreneurship and health care. In the Opolskie voivodeship, which is the case study, the additional financing in the health area concerns: personal protective equipment, equipment, construction works, oxygen installations, and waste water management. In this article, a literature analysis of the issue was conducted prior to the research process, which included theories of post-2007 crises, including the COVID-19 pandemic. The focus is on the theoretical background and research showing the impact of crises from the point of view of social, economic, and ecological dimensions, i.e., from the point of view of sustainable development. It also presents planned and implemented public intervention to offset the negative effects of COVID-19 in 2020 from structural funds in EU countries, including Poland and its 16 voivodeships.

This article identifies seasonality profiles for three stages of housing construction. The profiles were determined as average monthly values obtained for permits issued for the construction of new apartments, for apartments whose construction has begun, and for apartments put into operation. The research process showed that there are differences in seasonality profiles between investments carried out by individual investors and those who build apartments for sale or rent. The research clearly showed that the development of reports and analyses for the housing market should include a breakdown of the market for the activities of individual developers as well as those operating as investments. Unfortunately, at present, reports on the real estate market are developed in total terms, which significantly reduces their utilitarian application. Taking into account the recommendations of the research will allow for sustainable development of the housing market in such a way that the market will strengthen its resilience to the occurrence of cyclical fluctuations, among other things.

The aim of this research is to analyse the correlation between public intervention in Poland within the Regional Operational Programmes and the key macroeconomic variables for the sustainable development of regions, i.e., the labour market, with particular emphasis on the unemployment rate and the level of employment; the average monthly remuneration; the residential construction market, with particular emphasis on the number of permits issued for the construction of apartments and the number of apartments under construction. The research and the analyses carried out on the basis of the above-mentioned aspects made it possible to indicate the relations between the studied macroeconomic indicators and the EU funds spending in Polish provinces, which will enable the implementation of the sustainable development policy. The capitals used in the research process are very important components of the region’s and country’s sustainable development. In the research, a calculation methodology was applied based on the analysis of time variability of the examined determinants, their correlation and regression relationships. The tools and methods of data analysis used allowed the quantification of the relationship between the macroeconomic determinants studied and the pace and value of payments made. The conducted analyses have shown a positive influence of the payments made in Poland within the framework of Regional Operational Programmes on selected macroeconomic indicators, i.e., regional economic and social-institutional capitals. The research results obtained may have a practical decision-making aspect for regional and national authorities responsible for the disbursement of EU funds.