Tetiana Vasylieva

This paper is devoted to providing affordable housing as a significant factor in public health management, inclusive growth, and SDG. The purpose is to empirically prove changes in the system of country’s population health care depending on the level of providing affordable housing. The empirical base includes time series and panel data for 27 EU countries during 2011–2019. Due to correlation analysis (Shapiro-Wilk testing, Spearman or Pearson correlation, lags in time), regression analysis, and building a dynamic panel estimation model with Sargan testing in STATA, the study empirically confirmed and formalized the impact of affordable housing funding on changes in the system of country’s population health care. In particular, the study found the dependence between overcrowding level and the share of homeowners with mortgages (a decrease of overcrowding level by an average of 0.61% with a time lag of 2 years due to an increase by 1%); the share of tenants on concessional terms/free (0.41% with a time lag of 3 years); and the share of public spending on housing development (0.25% with a time lag of 3 years). The direct relationship between the overcrowding and mortality from dangerous diseases (tuberculosis, AIDS, viral hepatitis, mental and behavioral disorders, diabetes, pneumonia) was also revealed. Public spending on housing under social protection programs (subsidies, etc.) proved to be the least effective. Preference should be given to the development of affordable mortgage lending (faster and greater effect). Generally, it impacts public management decisions in the health care system, social, and housing spheres.

Acknowledgments
The study was funded by the Ministry of Education and Science of Ukraine and performed the results of the project “Economic and mathematical modeling and forecasting, development of methodological and methodological foundations for creating a roadmap for reforming the health care system in Ukraine, taking into account behavioral, social, economic and legal determinants” (Agreement БФ / 24-2021).
This study received funding under the research subsidy of the Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2022 (13/020/BK_22/0072).

The stable functioning of the public finance system requires a rational regulatory apparatus. The central bank occupies a special place in this system. Science and practice prove that the central bank’s political and economic independence determines its effectiveness. Thus, it is crucial to determine the prerequisites for ensuring its independence. The study aims to assess the influence of governance quality on the central bank’s independence, considering the variance of the socio-political development of countries. The analysis was conducted based on 53 countries. Panel regression modeling with random effects was chosen as a research method. The analysis approach involves calculations for the groups of countries that differ in social and political development parameters according to the following criteria: the initial level of the central bank independence; level of human development; political rights freedom; level of civil liberties; and political regime.
Socio-political factors significantly affect the central bank’s independence in the following conditions: a high initial level of independence of the central bank, a high level of human development, and an average level of political and civil freedom. At the same time, the governance quality ensures the growth of the central bank’s independence regardless of the countries’ political regime. Three factors have the most significant influence on ensuring the independence of the central bank, namely “government efficiency,” “quality of regulation,” and “rule of law.”

Trust in public services is a driving force of socio-economic development. It ensures effective dialogue between citizens and government and becomes especially relevant in the digitalization. The lack of trust in the public sector can make reforms ineffective and the achievement of the goals of the Ministry of Digital Transformation within the framework of the State Strategy for Regional Development of Ukraine until 2027 in question. For this reason, marketing tools in public services should be directed toward achieving greater trust in those services and the government. This paper analyzes the current research on public sector marketing and its role in building trust as a foundation for the country’s digital development. Implementing multi-level bibliometric (Scopus tools), network (VOSviewer), and comparative (Google Trends) analysis, this study traces the development of marketing research on the process of public services delivery transformation from traditional to digital. 922 studies published between 1968 and 2022 were analyzed. The results show that public sector marketing is a multidisciplinary field of scientific research that is actively developing. Cluster analysis demonstrated that its modernization and the relationship between marketing in services and consumer behavior are the smallest and newest spheres of research. Researchers consider relationship marketing the principal mechanism for building trust in the public sector. This study found little research on the impact of marketing tools on consumers’ trust in public services. The comparative analysis confirmed the hypothesis of the need to change marketing tools due to the massive shift from offline to online services.

Acknowledgment
The authors acknowledge the funding in terms of the projects “Simulation modeling of the trajectory of the impact of behavioral attractors on macroeconomic stability: the role of transparency and public trust (0121U100469)” and “Modeling mechanisms for de-shadowing and de-corrupting the economy to ensure national security: the impact of the financial behavioral patterns transformation (№ 0122U000783)”.

The most significant problems in financing the public health system in Ukraine are the permanent deficit of public spending on medicine and the shallow development of the voluntary health insurance market. The aim of study is the search of optimal interactions between stakeholders in the system of relations “state – insurance companies – households” in the context of voluntary health insurance. The study hypothesizes that households can become more active participants in health insurance only if their average monthly income reaches a certain threshold level. It is calculated based on the results of simulation games using the Brown-Robinson iterative method. According to the simulation results, this threshold level is only 7% higher than the actual value of the average monthly income of Ukrainian households during the analysis. At the same time, under this condition, the state in Ukraine will be able to transfer part of the financial burden of compensating healthcare costs to insurance companies. According to the calculations made with the help of the game theory toolkit, with the maximization of insurance payments to the population under health insurance contracts, the burden on public health financing in Ukraine could be reduced by 67.7%. The paper was conducted on the data of the ten most potent insurance companies of Ukraine as of 2021 (it is they who accumulate the lion’s share of household insurance premiums), that is, before the start of a full-scale war between the Russian Federation and Ukraine. The obtained results can be used both by insurance companies during the management of insurance premiums and payments and at the level of state management of costs in the field of public health.

Acknowledgment
This study was undertaken as a part of the research projects granted by the Ministry of Education and Science of Ukraine: “Socio-economic recovery after COVID-19: modeling the implications for macroeconomic stability, national security and local community resilience” (registration number 0122U000778); “The impact of COVID-19 on the transformation of the system of medical and social security of population: economic, financial-budgetary, institutional-political determinants” (0122U000781).

The purpose of this study is to substantiate the theoretical provisions on the accounting support for sustainability reporting and develop practical recommendations for improving the mechanisms for generating fragments of non-financial reporting based on accounting data. The study is conducted on the example of Ukraine. The paper provides a bibliometric analysis of scientific publications on the reporting in the field of sustainable development. Generalizing the results of the content-context block of the bibliometric analysis allowed identifying seven clusters. In the context of the study, the most relevant is the fourth cluster, which reflects the relationship between sustainability reporting and accounting. To create an effective mechanism for building sustainability reporting, a five-step sequence of actions based on accounting data was proposed, and tables were created to simplify the search for the necessary information to fill out fragments of a sustainability report and assess social and environmental security based on accounting data.

The purpose of this study is to ground the causality, its character, and power between economic growth and housing spending within government social protection to strengthen poverty reduction. The study is conducted on a sample of 27 EU countries for 2012–2021 according to the following indicators: government expenditure on housing within social protection, government expenditure on housing development, and GDP per capita growth. Correlation analysis revealed the relationship between the variables. The paper employed time lags with the most significance based on Pearson and Spearman correlation coefficients depending on normal data (Shapiro-Wilk test). The causal analysis determined which of the studied indicators is the cause and consequence of established dependence based on the results of the Granger test. Calculations are made in STATA software. It is confirmed that government expenditure on housing within social protection influences GDP per capita growth in 14 countries (the highest impact is in Greece and Spain) and government expenditure on housing development – in 17 countries (the biggest influence is in Romania, the Slovak Republic, Ireland, and Lithuania). It is also emphasized that government expenditure on housing development influences economic growth more significantly and with higher strength than government expenditure on housing within social protection. The obtained results can be useful in further research and government decision-making in social and economic policy, particularly regarding the expediency of increasing government spending for affordable housing and its development according to social protection programs, poverty reduction, and inclusive economic growth.

Acknowledgments
The study is funded by the Ministry of Education and Science of Ukraine (No. 0122U000781) and the Vega Agency (No. 1/0638/23).

In the conditions of the war of russia against Ukraine, which began on February 24, 2022, Ukrainian universities are playing roles that were not characteristic of them in peacetime. To the greatest extent, this concerns the university’s third mission, serving society and responding to its urgent needs. The purpose of this study is to identify and characterize new meaningful directions for implementing the third mission of the university in the conditions of war and post-war reconstruction. The study uses quantitative and qualitative bibliometric analysis combining various methods, in particular, quantitative and dynamic analysis of publications and citations, keyword analysis, cluster analysis and content analysis of publications.
The study’s results proved the lack of conceptual studies devoted to the role of universities in the war and post-war reconstruction. The main clusters of implementing the third mission of universities and the existing and potential areas of activity of Ukraine’s universities during the war and post-war reconstruction that belong to them were determined. In conclusion, it is substantiated that a new dimension of the mission of universities is being formed, which is at the stage of its formation and needs time for the necessary transformations. Depending on the consequences of the war in Ukraine, it can be a separate cluster of the third mission of universities, and the selection of a new fourth mission of universities, dedicated to peacebuilding and the role of the university during the war and post-war recovery.

Acknowledgment
Yuriy Petrushenko gratefully acknowledges support from the Kirkland Research Program. The research
was supported by the Ministry of Education and Science of Ukraine (No. 0121U109553).

In order to set economic policy goals, it is important to understand the difference between adult education and lifelong learning, and how much research on SDG 4 combines lifelong learning and economic policy. The purpose of the article is to determine the main directions for justifying the lifelong learning system development, including for achieving sustainable development goal 4 (SDG 4). Based on scientific research data from the Scopus database using the VOSviewer software, this article analyzed the theoretical foundations for substantiating the temporal and geographical interrelationships of the categorical-conceptual system of such terms as “SDG 4”, “adult education”, “lifelong learning” and “economic”. This made it possible to identify the main trends in scientific research and cluster directions of international research on the relationship between adult education, lifelong learning and economic policy. The following trends were obtained: adult education as a driver of economic development; as a social phenomenon and as a source of innovation. The following clusters were identified: adult education as a part of life-long education; adult education under the influence of physical and age-related changes; adult education as part of professional education; the learning process, which is not related to professional activity. As a result of the analysis, an insufficient level of attention among scientific studies devoted to adult education within the framework of SDG 4 was revealed. The article confirmed the need for economic policy to support the lifelong learning system, as well as the difference between the concepts of adult education and lifelong learning.

Acknowledgment
The educational outcomes in this publication were created with the support of the EU Erasmus+ program within the framework of projects ERASMUS-JMO-2021-HEI-TCH-RSCH-101048055 – «AICE – With Academic integrity to EU values: step by step to common Europe» and ERASMUS-JMO-2022-HEI-TCH-RSCH-101085198«OSEE – Open Science and Education in Europe: success stories for Ukrainian academia». This study was funded by the grant from the Ministry of Education and Science of Ukraine “Modelling educational transformations in wartime to preserve the intellectual capital and innovative potential of Ukraine” (registration number 0123U100114). “Convergence of economic and educational transformations in the digital society: modeling of the impact on regional and national security” (state registration number 0121U109553).

This study aims to examine whether the labor productivity of the US population directly depends on public or private insurance coverage of people, employment level, life expectancies, spending on the public health system as a percentage of GDP, and spending on the public health system in natural terms.
Empirical testing was carried out on the USА statistical data for 1987–2021 using a regression model with the fitting procedure backward stepwise selection (in Statgraphics software), and a multivariate adaptive regression spline MARS (using Salford Predictive Modeler software). The research hypothesis was confirmed for only two indicators: life expectancies and spending on the public health system in natural terms. Their impact on labor productivity appeared to be directly proportional. As an indicator, spending on the public health system has a greater impact on the change in productivity (0.0058%), whereas life expectancy has a lesser effect (0.0047%). The study showed that the MARS model provides more objective and accurate results compared to the regression model with the fitting procedure – backward stepwise selection. This conclusion is based on a comparison of real data modeled by both methods. The study proved that labor productivity in the USA grew yearly from 1987 to 2021 (the constant term in the MARS model’s regression equation is +0.48428). To calculate the specific values of labor productivity for each year, a model was developed depending on the optimal basic functions (automatically generated by the MARS model depending on the current values of life expectancies and spending on the public health system in natural terms).

Acknowledgment
This study is funded by Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2023 (grant number 13/020/BK_23/0081).