Mario Situm

This study aims to conduct a comparative analysis of the SDG in healthcare achievement in Austria and Ukraine and to determine possible lessons for Ukraine based on best EU and world experiences. To identify existing challenges and perspectives a comparative analysis of key indicators of healthcare expenditures and health financing systems in Austria and Ukraine was carried out. Results indicate that in Ukraine there is a substantial lack of public funding for healthcare (only 682 US dollars per capita in 2018), a poor share of voluntary health insurance (less than 1%), significant amounts (on average 50%) of expenditures of the population in general spending on health. On the contrary, in Austria, there is sufficient public funding for healthcare (5,879 US dollars per capita in 2018), more than 5% share of voluntary health insurance, moderate amounts (on average 25%) of expenditures of the population in general spending on health. Austria’s experience as an EU-member country with a successful example of a financing strategy for the healthcare system is a sound example for Ukraine. The alternative financing tools (e.g. result-based financing, impact investment, public-private partnership) can be used as an additional financing mechanism of healthcare funding in Ukraine. The use of these instruments along with the improvement of the fiscal policy, social security, and governance based on Austrian experience can cut the existing financing gap to achieve SDG targets in healthcare in Ukraine.

Acknowledgment
This study is financed equally by the Austrian Federal Ministry of Education and Science and the Ministry of Education and Science of Ukraine.

2020 revealed the vulnerability of the healthcare systems in most countries. It also highlighted their failure to generate serious progress in the fulfillment of Sustainable Development Goal 3 (SDG 3): Ensure healthy lives and promote welfare for all at all ages. One of the key problems inhibiting its progress is the lack of financial resources. Based on a comprehensive meta-analysis of the literature related to SDG 3 and its investment, it aims to demonstrate that lack of appropriate academic support is a part of the failure to generate serious progress in the fulfillment of SDG 3. To do this academic literature published in the period 2010–2019 is analyzed. SciVal Elsevier, VosViewer, and Google Trends tools are applied for analysis. The results show that there is a significant interest in the academic circles on SDG 3 alone. However, this interest is concentrated toward its medical aspects while economic aspects, including investment, are poorly represented. This study shows that the reason for the current investment gap in SDG 3 is the lack of academic support to provide a theoretical, methodological, and analytical framework for tackling the financing problem for SDG 3.

This paper examines the relationship between traditional and ESG stock market indices and the net international investment position for the case of Austria and Ukraine. For these purposes, the following methods are used: variance analysis, ANOVA analysis, correlation analysis, VAR analysis, R/S analysis, and Granger causality test. According to the results, ESG indices are less volatile than conventional ones. Based on the correlation analysis, it is concluded that there is a significant direct connection between ESG indices and their traditional counterparts (0.98 for Austria and 0.68 for Ukraine). A substantial level of persistence in Austria’s investment position indicates the possibility of using autoregression models for forecasting. The results of the net investment position modelling for the case of Austria showed a statistically significant impact of stock market indices on the net investment position. But for the case of Ukraine, this impact is insignificant. This is indirect evidence in favor of poor performance of the Ukrainian stock market. Further development of Ukrainian stock market is required, because Austrian experience showed that stock market can be used as a transmission mechanism in boosting investment position both within conventional approach and ESG.

Acknowledgment
Alex Plastun, Mario Situm, Inna Makarenko, and Yulia Serpeninova gratefully acknowledge support from Ministry of Education and Science of Ukraine (0122U002659).

In the context of mergers and acquisitions (M&A), management decisions regarding asset allocation play a key role in determining the strategic value of intangible assets. This study investigates the allocation of such assets, particularly goodwill, in relation to enterprise value on balance sheets across global M&A transactions within the B2C sector from 2000 to 2021. Utilizing data from the Markables database, which includes 543 transactions, this study presents robust and quantile regression analyses to effectively address challenges arising from non-normally distributed data. The findings underscore a significant correlation between the strategic allocation of intangible assets, especially goodwill, and enterprise value, highlighting their essential role in reflecting future earning potential and growth prospects. Additionally, the study reveals specific factors, including transaction type (asset vs. share deals) and timing (transaction year), that influence these asset allocation decisions. These insights are critical for enhancing management decisions in valuation and strategic financial planning during M&A. By elucidating these dynamics, this paper significantly contributes to the literature on management accounting and corporate finance, offering a granular understanding of the valuation of intangible assets in business combinations.

Acknowledgment
This study emerged from a cooperative project between the University of Applied Sciences Kufstein (Austria) and the University of Economics in Bratislava (Slovakia) 2023-05-15-003 “Enhancing long-term business value towards environmentally and socially sustainable economy,” which was funded by the performance committee of the Austria-Slovakia Action initiative.