Zuzana Kubaščikova

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).

Transparency is a fundamental necessity for the insurance market in the modern fast-changing and digital world. The study aims to establish, based on bibliometric analysis, the research trends and subject areas of the insurance market transparency, including the impact of digital technologies, regulatory initiatives, and the internal policies of insurance companies. A bibliometric analysis of papers published in the journals indexed by the Scopus database for the years 1988–2023 was conducted to achieve this goal. Five clusters have been identified based on the analysis of the shared use of keywords, demonstrating the multidisciplinary nature of the research subject. They cover government regulation and risk management; ethics; technological innovations in increasing transparency; transparency of prices and costs in health insurance; and state medical insurance transparency. The analysis of insurance market transparency trends has allowed identifying four key stages of development: post-crisis regulatory mechanisms (2013–2016), Solvency II regulation effectiveness (2017–2019), transparency during the pandemic (2020–2021), and the impact of digital innovations since 2021. Spatial clustering made it possible to identify five groups of countries whose representatives are co-authors of research on insurance market transparency. The leading countries in research on insurance market transparency are the USA, the UK, and Germany.

Acknowledgment
This research was funded by the Ministry of Education and Science of Ukraine (projects No. 0122U000774 “Digitalization and transparency of public, corporate and personal finance: the impact on innovation development and national security”, No. 0123U101945 “National security of Ukraine through the prevention of financial fraud and money laundering: war and post-war challenges”). This research was funded under the research subsidy of the Faculty of Organization and Management of the Silesian University of Technology in Poland for the year 2023 (13/990/BK_23/0178).