Tetyana Kharchenko

This comprehensive study delves into the intricate relationship between corporate governance and Corporate Social Responsibility Disclosure (CSRD) within the framework of China’s institutional landscape. By analyzing an extensive dataset comprising 35,435 firm-year observations from 3,889 A-share listed companies spanning the years 2006 to 2019, the research scrutinizes various governance mechanisms, including board size, independence, CEO duality, and ownership concentration.
The investigation affirms that larger boards and a higher proportion of independent directors exert a positive influence on CSRD. In contrast, a substantial shareholding ratio held by the largest shareholder proves to be a hindrance to the transparent disclosure of CSR initiatives. While the impact of CEO duality on CSRD is noted, the statistical significance of this relationship remains inconclusive.
These findings underscore the nuanced dynamics of governance and ownership structures in shaping CSR initiatives. The findings highlight the nuanced impact of governance and ownership structures on CSR initiatives, offering valuable insights for managers and policymakers navigating CSR strategies in China’s business landscape. The insights garnered from this study hold valuable implications for both corporate managers and policymakers navigating the landscape of CSR strategies within the unique contours of China’s business environment.

Acknowledgment
This paper is co-funded by the European Union through the European Education and Culture Executive Agency (EACEA) within the project “Embracing EU corporate social responsibility: challenges and opportunities of business-society bonds transformation in Ukraine” – 101094100 – EECORE – ERASMUS-JMO-2022-HEI-TCH-RSCH-UA-IBA / ERASMUS-JMO-2022-HEI-TCHRSCH https://eecore.snau.edu.ua/
Oleh PASKO expresses sincere gratitude for the support received from the Kirkland Research Program, generously provided by the Leaders of Change Foundation established by the Polish-American Freedom Foundation.

This study examined how multinational corporations adapted their corporate social responsibility strategies while operating in russia during the ongoing war against Ukraine. Specifically, the analysis investigated the impact of different corporate social responsibility approaches on financial performance, stakeholder trust, and corporate reputation for multinational corporations operating in russia during the war. A game-theoretic model evaluated three distinct strategies: minimal corporate social responsibility engagement (Strategy 1), increased corporate social responsibility involvement (Strategy 2), and a complete exit from the russian market (Strategy 3). The quantitative analysis showed that companies choosing the exit strategy (Strategy 3) gained the highest payoffs for financial performance, stakeholder trust, and reputation. In contrast, minimal corporate social responsibility engagement (Strategy 1) resulted in negative outcomes, including reputational damage and potential exposure to sanctions. On the other hand, increased corporate social responsibility involvement (Strategy 2) produced neutral outcomes, offering short-term benefits but still leaving companies vulnerable to ongoing risks. The sensitivity analysis confirmed the stability of these outcomes. The study concludes that exiting the russian market not only aligns with ethical standards but also ensures long-term sustainability, offering critical insights for corporations navigating corporate social responsibility challenges in war zones.

Acknowledgments
We sincerely express our gratitude to Prof. Dr. Dr. h.c. Marko Sarstedt, the LMU Fellowship Grant (LMU Ukraine support-fund) for the support of Ukrainian scientists.

Type of the article: Research Article

Abstract
Digital transformation has emerged as a key driver of structural change in labor markets worldwide, especially in the aftermath of the COVID-19 shock. In the European Union, the pandemic particularly accelerated the adoption of digital technologies and remote work across economic activities. This study estimates the causal effect of the digitalization potential of economic activity (proxied by a binary classification into highly and less digitalized groups based on telework feasibility and digital intensity) on three labor market indicators: employment, hourly wages, and remote work. Using the COVID-19 shock as a quasi-natural experiment within a difference-in-differences (DiD) framework, the empirical analysis draws on quarterly panel data for a consistent sample of 27 EU Member States (excluding the United Kingdom) over 2018–2024 (N = 36,685). The results indicate that higher sectoral digitalization potential (telework feasibility and digital intensity) does not significantly affect aggregate employment levels, as evidenced by a near-zero DiD coefficient (0.06, p ≈ 0.98). In contrast, it has a statistically significant positive effect on wages, with a DiD coefficient of 0.52 €/hour (p < 0.001), corresponding to an increase of approximately 4.6% in the wage gap between highly and less digitalized activities. The strongest effect is found for remote work: the DiD estimate is 40.74 percentage points (p < 0.001). Remote work rose from 17.6% to 82.1% in highly digitalized sectors, compared with only 1.3% to 6.6% in less digitalized economic activities.

Acknowledgment
This article was prepared within the framework of the research project “Modelling the impact of economic digitalisation on public health in Ukraine in the context of preserving human capital” (State Registration No. 0126U001085).

Type of the article: Research Article

Abstract
The transition toward climate neutrality is reshaping economic systems and increasing the importance of human capital in green modernization. However, a significant gap persists between technological advances and the strategic management of the workforce. This study aims to systematize and conceptually map the contemporary scholarly landscape of human capital management research within the renewable energy transition. Using the PRISMA 2020 protocol, the study analyzed 2,258 Scopus-indexed documents published between 1994 and 2026 through bibliometric and science mapping methods. The methodology combined descriptive statistics, keyword frequency analysis, multiple correspondence analysis (MCA), and network co-occurrence cluster analysis using the Bibliometrix R-package and VOSviewer. The results show a rapid increase in publication activity, with an annual growth rate of 18.01%, with China, the United States, and India leading global output and the international collaboration rate reaches 28.6%. Science mapping showed that the term “human capital” entered this field more actively only after 2020 (297 occurrences), still lagging behind technological topics. MCA indicated a clear conceptual separation between knowledge domains: the relative distance between the educational and workforce clusters suggests that these themes are still weakly integrated in the literature. Network analysis identified five thematic clusters: the technological and educational foundation, macroeconomic environment and resources, strategic management and innovative transformation, the socio-labor dimension and labor market, and eco-technological regulation. These results point to the need for a more integrated approach to adaptive human capital development that connects technological change, professional mobility, and institutional learning and strengthens the role of human capital in supporting green transformation.

Acknowledgment
This paper was supported by the Ministry of Education and Science of Ukraine as part of the research project Adaptive Human Capital Management in the Renewable Energy Sector: Synergy of Innovation and Social Sustainability” (Grant/Project No. 0126U000453).