Alex Plastun

This paper is a comprehensive investigation of calendar anomalies in the Ukrainian stock market. It employs various statistical techniques (average analysis, Student’s t-test, ANOVA, the Kruskal-Wallis test, and regression analysis with dummy variables) and a trading simulation approach to test for the presence of the following anomalies: day-of-the-week effect; turn-of-the-month effect; turn-of-the-year effect; month-of-the-year effect; January effect; holiday effect; Halloween effect. The results suggest that in general calendar anomalies are not present in the Ukrainian stock market, but there are a few exceptions, i.e. the turn-of-the-year and Halloween effect for the PFTS index, and the month-of-the-year effect for UX futures. However, the trading simulation analysis shows that only trading strategies based on the turn-of-the-year effect for the PFTS index and the month-of-the-year effect for the UX futures can generate exploitable profit opportunities that can be interpreted as evidence against market efficiency.

The role of sustainability reporting in investment decision-making is not clear and obvious. Despite the steady increase of such statements in corporate annual reports, the relationship between the sustainability reporting and the financial performance of companies is not always positive. The main problems of sustainability reporting nowadays are insufficient comparability of reporting, accuracy (lack of materiality, reliability and validity of indicators), lack of common approaches for its verification.

Synthesis of standardization and regulation features of sustainability reporting, which is provided in this paper in different dimensions (countries, regulators standards), allows to identify long-term trends of this reporting to ensure its quality during investment decision-making in traditional and responsible financial markets.

Corporate social responsibility, disclosed in sustainability reporting, influences the financial performance of companies. As a result, traditional stock market indices (TI) are expanded with the social responsible stock market indices (SRI). The aim of this study was to establish whether there are any differences in the behavior of the TI and SRI. To do this, the authors analyzed their efficiency. They used R/S analysis to calculate the Hurst exponent as a measure of persistence (long-term memory property). The presence of persistence was evidence in favor of less efficiency. According to empirical results, SRI has lower efficiency, in particular the Dow Jones Sustainability Index. Lower efficiency was also observed in the emerging markets with a responsible investment segment, compared to the traditional stock market indices. Further standardization and a common methodological approach to corporate sustainability reporting disclosure are proposed.

This paper investigates competitiveness in the Ukrainian stock market during local crisis of 2013–2015. The following hypothesis is tested: crisis decreases competitiveness in the stock market. The analysis is carried out for the most liquid stocks in the Ukrainian Exchange (UX) over the period from 2010 to 2017 using both traditional measurements of market concentration (Hirschman Index, Lerner Index, Comprehensive Concentration Index, Entropy Index, Gini coefficient, etc.) and some alternative methods like regression analysis with dummy variables and Kruskal-Wallis test. The results suggest that the current degradation of the Ukrainian stock market is closely related with significant changes in the market concentration which are caused by the local crisis.

Ideology of Sustainable Development and Sustainable Development Goals influence the transformation of business processes in the companies. Professional accountants are important part of this transformation. In this paper the role of accounting in Sustainable Development Goals achievement is discussed. Different approaches to structuring the role of professional accountants in Sustainable Development are investigated. Among them are types of roles that perform accountants, their professional functions, skills and competencies in the corporate environment. As the result a holistic vision of the role of accounting in sustainable development in the new economic conditions is provided.

This paper explores the frequency of price overreactions in the Ukrainian stock market by focusing on the PFTS Index over the period 2006–2017 and UX index over the period 2008–2017, as well as some “blue chips” (BAVL, UNAF, MSICH, CEEN) for the period of 2013–2015. Using static approach to detect overreactions, a number of hypotheses are tested: the frequency of price overreactions is informative about crisis events in the economy (H1), can be used for price prediction purposes (H2), and exhibits seasonality (H3). To do this, various statistical tests (both parametric and non-parametric), including correlation analysis, augmented Dickey-Fuller tests (ADF), Granger causality tests, and regression analysis with dummy variables, are carried out. Hypotheses H1 and H2 are confirmed: frequency of price overreactions can be used as a crisis predictor (a sharp increase in the number of overreactions is associated with a crisis period) and could be used to predict stock returns. No seasonality in the overreactions frequency is found. Implications of this research include crisis prediction and stock market prices forecasting and can be used for designing trading strategies.

This paper is a comprehensive investigation of the January Effect evolution in the US stock market over the period 1791–2015. It employs various statistical techniques (average analysis, Student’s t-test, ANOVA, Mann-Whitney test) and a trading simulation approach to analyze the evolution of this anomaly. The results suggest that January effect during the XVIII–XXI century passed the way from rise to fall. The rise of the January Effect starts in the end of the XIX century and this anomaly mostly disappeared in middle of the XX century. Nowadays the January Effect is not present in the US stock market, but even today January stays one of the best months for purchases in the US stock market.

This paper examines reactions in the Ukrainian stock market to force majeure events, which are divided into four groups: economic force majeure, social force majeure, terrorist acts, natural and technological disasters. More specifically, using daily data for the main Ukrainian stock market index (namely PFTS) over the period from January 1, to December 31, 2018 this study investigates whether or not force majeure events create (temporary) inefficiencies and there exist profitable trading strategies based on exploiting them. For this purpose, cumulative abnormal returns and trading simulation approaches are used in addition to Student’s t-tests. The results suggest that the Ukrainian stock market absorbs new information rather fast. Negative returns in most cases are observed only on the day of the event. The only exception is technological disasters, the market needing up to ten days to react fully in this case. Despite the presence of a detectable pattern in price behavior after force majeure events (namely, a price decrease on the day of the event) no profitable trading strategies based on it are found as their outcomes do not differ from those generated by random trading.

This paper is devoted to the investigation of environmental, social and governance investment (investment with ESG criterion) normative base in the context of standardization process in sustainable economy financing. Complexity of such standardization and the lack of commonly accepted regulations, indexes metrics are under discussions of scholars, which encourage the need for clear guidance in ESG investment. 651 sustainability rating products and more than 300 investment policy instruments in different countries show the need for classifying the ESG standards. The solution of this scientific and practical task is based on the developed ESG investment standards system classifications. Proposed classification incorporates such criteria as level of standards adoption, mandatory degree, sectorial specificity, degree of companies’ awareness of responsible activity, ensuring transparency and the benchmarks formation, creating the institutional support of the ESG investment standardization process in sustainable economy and making more grounded investment and regulatory decisions.

This paper analyzes price gaps in the Ukrainian stock market for the case of UX index over the period 2009–2018. Using different statistical tests (Student’s t-tests, ANOVA, Mann-Whitney test) and regression analysis with dummy variables, as well as modified cumulative approach and trading simulation, the authors test a number of hypotheses searching for price patterns and abnormal market behavior related to price gaps: there is seasonality in price gaps (H1); price gaps generate statistical anomalies in the Ukrainian stock market (H2); upward gaps generate price patterns in the Ukrainian stock market (H3) and downward gaps generate price patterns in the Ukrainian stock market (H4). Overall results are consistent with the Efficient Market Hypothesis: there is no seasonality in price gaps and in most cases there is no evidences of price patterns or abnormal price behavior after the gaps in the Ukrainian stock market. Nevertheless, the authors find very strong and convincing evidences in favor of momentum effect on the days of negative gaps. These observations are confirmed by trading simulations: trading strategy based on detected price pattern generates profits and demonstrates overall efficiency, which is against the market efficiency. These results can be interesting both for academicians (further evidences against market efficiency) and practitioners (real and effective trading strategy to generate profits in the Ukrainian market market).

This paper is devoted to the investigation of environmental, social and governance (ESG) disclosure regulation process and its possible connection with countries’ competitiveness as an integral part of countries’ Corporate Social and Environmental Responsibility (CSER) poliсy. ESG disclosure regulation criteria were examined according to their classification on Pension Fund Regulation, Stewardship Code, Government Corporate ESG disclosure, and Non-Government Corporate ESG disclosure by UNPRI in 2016 and for developed countries and developing and emerging countries separately. In order to find the relationship between ESG disclosure and the countries’ competitiveness (describing by Global Competitiveness Index), variety of statistical tests was applied (Student’s t-tests, ANOVA analysis, Mann-Whitney tests, simple average analysis and regression analysis with dummy variables). Research hypotheses about statistically significant differences in ESG disclosure regulation between developed countries and developing and emerging countries and the influence of ESG disclosure regulation on the overall competitiveness of the country were proved. ESG disclosure regulation became an effective instrument of countries CSER policy and tools for increasing their competitiveness.

This paper is devoted to the comparing stock portfolios of the largest conventional and responsible Ukrainian companies as the basis for substantiating the structure of an optimal investment portfolio in the current conditions of development of the financial market of Ukraine. The empirical basis of the research was the data of quotations of shares of 6 most liquid conventional and 6 responsible companies in the Ukrainian and Warsaw exchanges. The methodological basis of calculations was the classic Markowitz portfolio optimization model. The key hypothesis of the research was to check that the conventional investment portfolios of Ukrainian companies outperform the responsible investment portfolios by their parameters (return, risk). This hypothesis was rejected. The obtained results have not only theoretical significance – both the rationale for the threat of responsible investment in Ukraine and the applied value for market participants in terms of investment decisions making, taking into consideration the ESG criteria, and the formation of investment portfolios from shares of the responsible companies, the key parameters of which exceed the conventional portfolios.

This paper explores some Sustainable Development Goals (SDGs – 2 and 12) in agriculture for the Czech Republic and Ukraine. The idea is to find out best practices in implementing SDGs 2 and 12 within the responsible investment framework. For these purposes, benchmarking (comparative analysis) is used. Using data over the period of 2017–2020, a general comparative review of global and national targets of SDGs 2 and 12 in Ukraine and the Czech Republic is provided. The results justify the merely incorporation and compliance of these targets at the national and global levels. The identified problems in achieving SDG 2 and SDG 12 are common for Ukraine and the Czech Republic and relate to unequal access to investment and financial resources. Recommendations and solutions to the most important problems based on the responsible investment instruments are proposed in this paper. The research findings can be useful for regulators (both in agriculture and in the financial market), companies and a wide group of other stakeholders in promoting responsible investment to make more comprehensive progress towards SDG 2 and 12 in Czech Republic and Ukraine by 2030.

Acknowledgment
Authors are grateful to the Czech government for the support provided by the Ministry of Foreign Affairs of the Czech Republic, which allowed this scientific cooperation to start within the project “AgriSciences Platform for Scientific Enhancement of HEIs in Ukraine”.

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 explores price effects in the “passion investments” market after days with abnormal returns. To do this, daily prices for stamps and diamonds over the periods 1999–2021 and 1989–2021 are analyzed. The following hypothesis is tested: One-day abnormal returns create stable patterns in price behavior on the next day. Statistic tests (t-test, ANOVA, Mann–Whitney U test, modified cumulative abnormal returns approach, regression analysis with dummy variables) confirm the presence of price patterns related to extreme returns: price fluctuations on the day after extreme returns are higher than returns on “normal” days. On the days after positive abnormal returns, the momentum effect is detected. Contrarian effect is typical for the days after negative abnormal returns. A trading strategy based on detected price effects showed the presence of exploitable profit opportunities. Results of this paper provide additional pieces of evidence in favor of inconsistencies between the efficient market hypothesis and practice and can be used by traders to generate extra profits in the “passion investments” market.

Acknowledgment
The authors gratefully acknowledge financial support from the Ministry of Education and Science of Ukraine (0121U100473).

Almost all human activity spheres, from the health care system to the education system, were unprepared for the pandemic. This, in turn, has slowed down the progress in achieving sustainable development goals. The Sustainable Development Goals 4 “Quality Education” and 8 “Decent Work and Economic Growth” were particularly vulnerable. In addition, the widespread concern was caused in the context of the transition to a “knowledge-based economy”. This paper analyzes the readiness of the scientific community to provide preconditions for the acceleration of these SDGs achievements. To do this, a meta-analysis of the academic literature on SDG 4, SDG 8, and the knowledge-based economy during 2015–2021 was conducted. Several special methods and instruments were used, including Scopus, WoS, VosViewer, Publish or Perish, Google Trends, and Google Books Ngram Viewer. The results show the inability of the modern academic community to provide a theoretical and empirical framework for a successful transition to a knowledge-based economy, taking into account the need to achieve sustainability. This is partly due to the relative subject novelty and the lack of academic attention. The challenges posed by the pandemic (lockdowns, unemployment, closing of educational institutions, financial flows reorientation, etc.) together with potential threats (new pandemic, climate change, population displacement, armed conflicts, etc.) necessitate a radical intensification of academic activity in economics to achieve SDGs.

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).

This paper explores the influence of traditional and ESG stock market indices on a country’s net international investment position. To do this, different methods, including ANOVA analysis, multiply regression analysis, correlation analysis, VAR-analysis and R/S-analysis, as well as the Granger causality test, are applied to quarterly data on the net international investment position, traditional and ESG indices from Finland, Sweden, France, Spain and Ukraine over the period 2005–2021. The results of descriptive statistics show that ESG indices are more volatile than traditional, but these differences are statistically insignificant according to ANOVA analysis. Correlation analysis provides direct evidence that ESG indices are highly correlated with their traditional analogues (correlation level varies from 0.88 to 0.96). Regression analysis results show that traditional and ESG stock market indices have no significant impact on the net international investment position. ESG stock market indices and net international investment position data are persistent, and autoregressive models can be applied to these data sets. On average, Hurst exponent is above 0.75 for the case of ESG indices and above 0.85 for the net investment position. This paper provides recommendations to improve the responsible investment framework.

Acknowledgment
Alex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).

This paper explores market efficiency in the Ukrainian stock market to determine whether there are differences between traditional and ESG indices. Different data properties related to market efficiency are explored: persistence (R/S analysis is used for these purposes), stationarity (ADF tests), normality (Kolmogorov-Smirnoff, Anderson-Darling test, etc.), resistance to market anomalies (Day of the week effect, abnormal returns and patterns they generate are tested using parametrical and non-parametrical statistical tests), etc. Database includes daily data from 2 conventional Ukrainian stock market indices (UX and PFTS) and ESG index (WIG Ukraine) over the period 2015–2022. The following hypothesis is tested in this paper: ESG indices are more efficient than traditional ones. The findings suggest that there are no significant differences between traditional and ESG indices: they have the same persistence, stationarity, do not fit normal distribution and are not influenced by explored market anomalies. So, despite the fact that companies listed in the ESG index are more transparent and thus characterized by lower information asymmetry, they are more liquid and popular among investors, ESG index is not more efficient than traditional ones. This might be the result of unfair practices called “washing” aimed at signaling the active ESG involvement with actual absence of it. This means that many ESG companies are actually traditional. To prevent such practices, the ESG reporting regulation needs to be revised.

Acknowledgment
Alex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).

This paper investigates the persistence in the cryptocurrency market, focusing on five distinct groups categorized by their market capitalization during the sample period from 2020 to 2023. The study aims to test two hypotheses: (H1) The degree of persistence in the cryptocurrency market is contingent on market capitalization, and (H2) The efficiency of the cryptocurrency market has increased in recent years. The methodology employed for this examination is R/S analysis. The results indicate that the cryptocurrency market maintains its inefficiency, and no significant variations in persistence are discerned among different cryptocurrency groups, leading to the rejection of H1. Outcomes related to H2 present a nuanced scenario. Specifically, Litecoin and Ripple exhibit supportive evidence for the Adaptive Market Hypothesis, suggesting an improvement in the efficiency of the cryptocurrency market in recent years. A noteworthy revelation pertains to the anomaly observed in Bitcoin. Despite being the most capitalized and liquid cryptocurrency, it demonstrates inefficiency akin to levels observed five years ago. The implications of this study contribute to the comprehension of cryptocurrency market efficiency. The findings challenge the assumptions of the Efficient Market Hypothesis, favoring instead the Adaptive Market Hypothesis. For practitioners, the results hold significance, providing evidence of price predictability, particularly in the case of Bitcoin. This suggests that trend trading strategies remain viable for generating abnormal profits in the cryptocurrency market.

Acknowledgments
Alex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).

This paper delves into the challenge of financing Sustainable Development Goal 3 “Ensure healthy lives and promote well-being for all at all ages” (SDG 3). Despite its ambitious nature, the achievement of this goal has been hindered by a substantial lack of funding. The study aims to investigate potential sources to bridge the investment gap in SDG 3, analyzing data from 28 European countries. This includes factors such as the index and progress in sustainable development, sources of investment resources, and healthcare costs for 2020. Logit and probit regression models are employed for the analysis. The results indicate the absence of a statistically significant relationship between the volume of investments from the state, businesses, and households of countries and their level of SDG 3 achievement. However, an interesting finding emerges regarding healthcare expenditures under state insurance programs among European countries, which show a greater extent of progress in achieving SDGs compared to voluntary insurance programs. The paper emphasizes the importance of a balanced approach that uses multiple funding sources and the need for focused policies and partnerships to mobilize resources to ensure healthy lives and promote well-being for all at all ages.

Acknowledgment
Alex Plastun gratefully acknowledges support from the Ministry of Education and Science of Ukraine (№ 0121U113830).

The full-scale russian invasion and war in Ukraine have inflicted substantial damage on the Ukrainian economy across various sectors. During crises, a common phenomenon is a decline in market competitiveness. This paper seeks to investigate whether the war in Ukraine has resulted in a reduction of competitiveness in the Ukrainian insurance market. To assess this, a range of traditional measures of market concentration, as well as various statistical tests, were applied to three crucial indicators from the Ukrainian insurance market, namely, assets, insurance premiums, and insurance payments for the period from January 1, 2022 to July 1, 2023. The findings suggest that, despite substantial losses incurred by the Ukrainian insurance market due to the invasion, the competition in the market did not experience significant degradation. However, the existing trends indicating a propensity for increased market concentration are cause for concern and demand immediate attention from regulators to prevent the deterioration of the market. To prevent market degradation stemming from current trends, regulatory bodies like the National Bank of Ukraine should carefully monitor adverse developments. They ought to integrate commitments to ensure market competitiveness, complemented by specific quantitative metrics for oversight, into their strategic plans and concepts for the development of the insurance market. Given the persistent threat of russian bombing in Ukraine, a viable and promising direction involves the proactive adoption of digital services and products.

Acknowledgments
Alex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0121U100473).

This paper examines momentum and contrarian effects in the Ukrainian stock market after one-day abnormal returns. To do this, UX futures data over the period 2010–2018 are used. The following hypotheses are tested: H1) hourly returns on overreaction days differ from hourly returns on normal days, H2) there are price patterns on overreaction days, and H3) to test these hypotheses, visual inspection and average analysis are used, as well as t-tests, cumulative abnormal returns, and trading simulation approaches. The results suggest that there are statistically significant differences between intraday dynamics during the usual days and the overreactions day. There is a strong momentum effect present on the day of overreaction: prices tend to change only in the direction of the overreaction during the whole day. The fact of the overreaction becomes clear after 13:00-14:00. This gives a lot of time to explore the momentum effect in the day of overreaction. On the day after the overreaction, prices tend to go in the opposite direction: contrarian pattern is detected, which is in line with the overreaction hypothesis. Based on detected price patterns, rules of trading and trading strategies for the Ukrainian stock market are developed. Momentum Strategy (based on price patterns on the day of overreaction) generates several successful trades; close to with 90%, and their number being is profitable (trading results differ from the random ones – confirmed by t-tests). Contrarian Strategy (based on price patterns on the day after the overreaction) demonstrates low efficiency, and results do not differ from random trading.

This paper explores the perceived resilience of russia’s economy under severe sanctions, investigating the potential falsification of economic data to demonstrate the growth. The hypothesis is that the relationship between the official inflation rate and the FMCG deflator index during 2019–2021 significantly differs from that of 2022–2024. Statistical methods, such as correlation analysis, Granger causality tests, and differences tests (e.g., t-tests and Wilcoxon tests), are used along with vector autoregressive (VAR) models and robust linear regressions. The study covers the pre-invasion period (2019–2021) and the post-invasion period (2022–2024), focusing on indicators like the official inflation rate, inflation expectations, CPI, and the FMCG deflator index. Findings reveal a shift from a direct to an inverse correlation between official inflation and the FMCG deflator post-2022, suggesting data manipulation. Pre-2022 models predict inflation 2-3 times higher than both post-2022 models and official statistics, raising concerns about the reliability of russia’s economic data. Further research should explore indirect metrics, such as electricity production and cargo shipments, for additional evidence of data falsification.

Acknowledgments
Alex Plastun gratefully acknowledges financial support from the New Europe College (NEC), the Center for Advanced Study, and Sumy State University.
Anna Vorontsova gratefully acknowledges financial support from Sumy State University.

This paper explores the influence of the ESG disclosure regulation (government corporate ESG disclosure and non-government corporate ESG disclosure) on the ranking in 50 largest economies. Applying various statistical methods and techniques, including both parametrical (Student’s t-test, ANOVA analysis) and non-parametrical (Mann-Whitney U test) tests, simple average analysis, OLS with dummy variables method and multiple linear regression analysis, as well as correlation analysis and Granger causality test, several hypotheses are tested. The hypotheses stipulate whether or not ESG disclosure regulation differs in developed and emerging countries and whether or not ESG disclosure regulation influences the country’s SDGI ranking, as well as the ranking of the country among 50 largest economies. According to the results, the differences in ESG disclosure regulation are statistically significant in developed and emerging countries. The level of ESG disclosure compliance is higher in developed countries. ESG disclosure regulation influences the position of the country in SDGI and 50 largest economies rankings. The more country complies with ESG disclosure criteria, the better position in rankings is. Incorporation of ESG criteria is an important evolutionary step in economic development of the country. It allows increasing position of the country in 50 largest economies and SDGI ranking. Thus, ESG disclosure regulation is vital for the development of the country in the modern world.

Acknowledgment
Comments from the Editor and anonymous referees have been gratefully acknowledged. Alex Plastun gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0117U003936). Inna Makarenko gratefully acknowledges financial support from the Ministry of Education and Science of Ukraine (0117U003933).

This paper examines the advantages and disadvantages of imposing sanctions on russian science, along with the measures enacted to penalize or restrict it. Proponents of sanctions argue that accountability is essential, and a tangible cost must be imposed for russia’s actions. Sanctions can serve as a signal to end war and aggression, weaken russia’s economic foundation, and exacerbate brain drain, potentially hindering the development of military technologies and reducing russia’s capacity to sustain its aggression. Furthermore, some russian academics openly support the war and should be held accountable for their stance. However, significant opposition to sanctions exists. A prevailing argument, often mirrored in fields like sports and culture, is that science should remain apolitical. Critics contend that sanctions disrupt the free exchange of ideas, penalize innocent individuals, and may harm global scientific progress and human development, given russia’s integral role in international research. Additionally, sanctions are often criticized as costly and inefficient. Despite these debates, a variety of restrictive measures targeting russian science have been implemented. These include funding cuts, suspension of collaborations, termination of joint projects, and exclusion of academics linked to the russian regime. Other measures involve companies closing R&D facilities in russia, restrictions on scientific equipment and reagents, boycotts of russian-organized conferences, and the suspension of international research partnerships. This study synthesizes the arguments for and against sanctions on russian science and provides an analytical discussion to shape a nuanced perspective on this complex issue.