Are natural resources a blessing or a curse for the development of nuclear energy in times of energy insecurity

This study explored the perspectives of adults in substance use recovery about obtaining and strategically building recovery capital on social media. In this qualitative interview study, we used a combined inductive and deductive content analysis approach to derive themes informed by the Recovery Capital Model. Participants (N = 49) in virtual interviews were recruited via substance use treatment centers in the northeast and southeast US. Most identified as female (59.2%) and White (57.1%), with an average age of 39.09 years (SD = 10.06). Most (77.6%) reported receiving treatment for alcohol use, and almost half had received treatment for cannabis (49.0%). We used semi-structured interviews focused on the perspectives of adults in recovery about their motivations and the positive and negative impacts of their social media use. Participants' descriptions of recovery capital built on social media were organized in four thematic categories based on the type of capital: Human Recovery Capital (e.g., Online information/content), Physical Recovery Capital (e.g., Instrumental support), Social Recovery Capital (e.g., Emotional support), and Cultural/Community Recovery Capital (e.g., Online peer recovery communities). We also coded instances of Negative Recovery Capital (e.g., Negative/deceptive content) across domains and characterized a variety of Strategies to Gain Recovery Capital (e.g., Disclosing their recovery journey at specific times online). Social media can provide access to recovery capital, especially human and social capital, with little effort expenditure, and online contexts may allow more strategic disclosure of concealable stigmatized identities, such as being in recovery. However, adults must also navigate online content and connections perceived as harmful to their recovery journey.

• Constructs a global novel Women’s Financial Inclusion (WFI) Index integrating traditional and digital finance. • Finds a U-shaped link: early inclusion may weaken, but deeper inclusion strengthens corruption control. • Identifies actionable thresholds, with digital finance delivering earlier governance gains. • Female education, labor force participation, and institutional quality amplify the governance impact of WFI. • Emphasizes policy sequencing: inclusion must align with regulation and empowerment reforms. Financial inclusion is widely promoted as a pathway to transparency and development, yet its gender-specific governance effects remain underexplored. This study examines the impact of women’s financial inclusion (WFI) on corruption control across 150 countries from 2011 to 2023, using a dynamic System-GMM framework to address endogeneity and persistence. We construct a composite Women’s Financial Inclusion Index (WFII) integrating traditional and digital access indicators and assess robustness using alternative measures. Results reveal a statistically significant U-shaped relationship. At low levels, greater WFI is associated with weaker corruption control; beyond a critical threshold of approximately 1.86 (standardized units), deeper inclusion strengthens governance. A complementary Women’s Digital Financial Inclusion Index (WDFII) exhibits a lower turning point, indicating that digital inclusion generates earlier governance gains. The governance-enhancing impact of WFI is amplified by female education, labor force participation, and stronger institutional quality. Income heterogeneity further shows that lower-income countries experience earlier marginal benefits, whereas upper-middle- and high-income countries require deeper inclusion before governance improvements materialize. Overall, WFI acts as an institutional amplifier, strengthening accountability where supportive legal and socioeconomic conditions are present. Its anti-corruption benefits depend on complementary investments in female human capital, regulatory safeguards, and institutional strength. Effective policy must therefore align financial access expansion, particularly through digital channels, with broader empowerment and governance reforms to ensure inclusion translates into sustained corruption control and inclusive development.

From entrepreneurship education to nascent digital entrepreneurship: The role of digital human capital

mpetitiveness and trade capacity are critical determinants of sustainable growth in developing economies, particularly in an increasingly globalized and knowledge-based economic environment. While trade openness expands access to international markets, long-term competitiveness depends on a country’s ability to innovate, share knowledge, and adopt new technologies. This study empirically examines the relationship between innovation-related factors and external competitiveness, using high-technology exports as a proxy for trade capacity and competitive performance. The analysis is based on panel data from 33 developing countries over the period 2010–2021 and employs a fixed-effects regression model to assess the association between university–industry collaboration, research and development (R&D) intensity, human capital, and information and communication technology (ICT) adoption, and high-tech export performance.The findings indicate that innovation systems are closely associated with external competitiveness. University–industry collaboration shows the strongest and most robust positive association with competitiveness, followed by R&D intensity and ICT adoption. In contrast, human capital does not exhibit a statistically significant direct association, suggesting that its contribution to trade capacity may operate indirectly through innovation processes and absorptive capacity. Overall, the results highlight the importance of integrated innovation systems and institutional coordination in supporting technological export performance and facilitating participation in global trade networks. Policies supporting innovation, digitalization, and university–industry collaboration are closely associated with improvements in technological capabilities and broader socio-economic development.

Purpose This study aims to examine whether institutional quality moderates the relationship between national intellectual capital and green economic growth. Design/methodology/approach Using annual data for seven ASEAN economies over 2000–2023, the authors use country-specific autoregressive distributed lag models with an error-correction representation to identify long-run cointegrating relationships and short-run adjustments among green economic growth, national intellectual capital, institutional quality and their interaction. Findings The authors compute long-run marginal effects of national intellectual capital at observed levels of institutional quality and identify institutional thresholds at which the effect changes sign. The results indicate systematic, but country-specific, moderation. Brunei, Thailand and Vietnam exhibit stronger contributions of national intellectual capital as institutional quality improves. In Brunei and Vietnam, the marginal effect shifts from negative at low levels of institutional quality to positive at higher levels. Indonesia shows a positive marginal effect across the full range of institutional quality, with only modest attenuation as institutional quality rises. Practical implications The authors’ findings imply that progress toward SDG 8 in ASEAN requires aligning institutional reforms with investments in human capital, research and development, intellectual property services and digital infrastructure, so that knowledge-based capabilities translate into more sustainable productivity and employment. Originality/value This study contributes to the green growth literature by focusing on national intellectual capital as a broad intangible asset base and by providing country-level evidence that its effect on green economic growth depends on institutional quality

Subject. Human capital and other types of capital used to ensure sustainable socio-ecological and economic development. Objectives. The study of the features of the use and transformation of human and other types of capital from the perspective of a human-centered approach in the context of the formation of the bioeconomy of Russia. Methods. Systematics of bioeconomic activities and related biological products using content analysis of domestic and foreign literature, as well as methods of information synthesis and systematization. Results. The roles of human and other types of capital that are used in achieving socio-ecological and economic development are identified and systematically characterized. The main directions of bioeconomical activity as conditions for rational use of natural resources and efficient use of natural resources are summarized. The principles, factors and conditions for the formation of bioeconomics as a direction of economic activity capable of ensuring the transition to sustainable socio-ecological and economic development are defined. The approaches to determining the characteristics of human capital in the context of the development of bioeconomics are systematically presented. Based on the conducted research, the reciprocal interaction of human capital and bioeconomics has been determined. Conclusions. The discovered reciprocal relationships between human capital and bioeconomics indicate their important role in achieving the goals of sustainable ecological, socio-economic development. Bioeconomics is a promising area for organizing modern economic activities, and human capital makes a significant contribution to this activity by increasing human knowledge and skills, taking into account the use of relevant medical, pharmaceutical, environmental and food biotechnologies that promote human health and ensure the well-being of the population.

This study investigates Information Systems (IS) success from an IT Business Value (ITBV) perspective by integrating constructs from the IS Success Model (ISS) and the Resource-Based View (RBV). An extended research model is developed to explain how core organizational IT resources, namely IT infrastructure and human capital, shape system perceptions, including performance expectancy, system quality, and information quality, which in turn influence IS continuance usage and ultimately firm performance. Rather than focusing on specific emerging technologies, this study emphasizes foundational IT capabilities that enable sustained system success and organizational value creation across different technological contexts. To capture multi-perspective data at the organizational level, the study employed a structured, role-based multilevel sampling strategy and tested the proposed model using covariance-based structural equation modeling (CB-SEM).

ABSTRACT This study investigates the impact of digital product imports (DPI) on firms’ pollution reduction. The findings show that DPI reduces firms’ emission intensities of SO2 and COD. This decline is driven by firms’ production-end effects of energy efficiency improvement and technological innovation, together with enhanced end-of-pipe treatment capacity. The effectiveness of DPI in reducing pollution is more substantial in regions with high levels of digital infrastructure, higher levels of human capital, technology-intensive industries, and non-state-owned enterprises. This distinction can be attributed to the disparities in technological absorptive capacity. Additionally, the diversification of DPI also significantly fosters corporate pollution reduction.

ABSTRACT Digital development may either widen or narrow income inequality, depending on how its benefits are distributed. Using household-level microdata from the China Household Finance Survey (CHFS) and a city-level digitalization index, this study examines the effect of digital development on household income distribution in China. The analysis uses instrumental variables to estimate income effects and counterfactual simulations to assess distributional consequences. The results show that digital development significantly increases household income, and the findings remain robust after addressing endogeneity concerns. Although the income effect of digitalization does not differ significantly across regions, substantial urban – rural disparities exist. In particular, rural households benefit significantly less than urban households because limited human capital constrains the use of digital technologies, whereas ageing plays no significant role. Policy simulations further indicate that maintaining uneven digital development will significantly widen income inequality over time. While reducing interregional disparities in digital development can partially mitigate this trend, the effect remains limited. By contrast, accelerating urbanization and improving rural human capital – especially rural upper-secondary school enrolment – are substantially more effective in reducing inequality. These findings suggest that more inclusive digital adoption and stronger rural human capital are essential to prevent digitalization from exacerbating income inequality.

ABSTRACT This paper maps the geography of artificial intelligence (AI) innovation, exposure and use across European Union (EU) NUTS-2 regions using six complementary indicators. Findings reveal a spatial paradox: while AI exposure and worker-level use are relatively widespread, innovation and firm-level adoption remain concentrated in high gross domestic product (GDP), human capital-intensive hubs. A persistent implementation gap separates structural exposure from productive use, driven by institutional, organisational and capability-related frictions. Income and human capital are strongly associated with AI activity, while trade openness shows a negative relationship. Results point to the need for place-sensitive policies combining support for leading regions with targeted capability-building in lagging ones.

This article examines whether, in the period 2015–2024, Poland was narrowing the gap separating it from the European Union in the areas of human capital, digitalisation, and the potential for artificial intelligence uptake. The empirical basis comprises ten indicators grouped into four domains - human capital, digital infrastructure and maturity, innovation potential, and economic outcomes - drawn from the World Bank Open Data API, OECD databases, and OECD.AI, each juxtaposing Poland with the Union aggregate. Descriptive statistics are employed: terminal values, the absolute gap, a catching-up index (the ratio of the national to the Union value), and the compound annual growth rate, deliberately forgoing econometric modelling. The results indicate pronounced yet heterogeneous convergence: Poland has steadily narrowed the gap in the domain of enabling conditions - research personnel, R&D expenditure, basic digital infrastructure and the digital maturity of enterprises, and labour productivity - while diverging in the adoption of frontier technologies, including the direct use of artificial intelligence in firms. The findings are interpreted in the light of the general-purpose technology concept and the absorptive capacity of the economy.

Rare diseases (RDs) affect an estimated 7% of the global population and comprise ~7,000 heterogeneous conditions, most of which have a genetic etiology. Despite their collective burden, RDs pose major diagnostic challenges, often resulting in prolonged diagnostic odysseys with substantial clinical, emotional, and economic consequences. Next generation sequencing technologies such as whole exome (WES) and whole genome sequencing (WGS) have transformed RD diagnostics in high-resource settings. In contrast, the use of such technologies in Latin America remains uneven due to structural, regulatory, and economic constraints. In addition, the underrepresentation of admixed populations in genomic databases further complicates variant interpretation, reducing the diagnostic yield. In this context, we created the first genomic medicine program for rare diseases in Uruguay to address these challenges by implementing next-generation sequencing (NGS) strategies for diagnosis. Whole exome sequencing (WES) and whole genome sequencing (WGS) were performed on a cohort of 203 patients with suspected RD belonging to the Uruguayan public healthcare system. Variant prioritization was conducted using established bioinformatics pipelines integrating population frequency filtering, inheritance models, functional impact, and phenotype-driven clinical interpretation. Implementation of population-aware variant interpretation strategies was critical in this admixed population, helping to reduce false-positive findings arising from the underrepresentation of Latin American populations in global reference databases. This framework was built through sustained collaboration between academic institutions and healthcare providers, with a strong emphasis on local capacity building in clinical genetics, molecular diagnostics, and bioinformatics. To date, we have analyzed a total of 203 patients: 172 using WES, 29 using WGS, and 11 using mitochondrial DNA sequencing (9 of whom were also analyzed by WES). The overall diagnostic yield was 48% for WES and 31% for WGS. The program significantly shortened diagnostic trajectories and enabled actionable clinical insights in a substantial proportion of cases. Our experience shows that comprehensive genomic diagnostics for RDs can be successfully carried out in emerging genomic medicine settings through integrated workflows and sustained investment in human capital. This initiative represents a scalable model for other low income countries seeking to incorporate genomic medicine into public healthcare systems and highlights the importance of regional genomic data to improve diagnostic accuracy and equity.

The article is devoted to the analysis of public-private-philanthropic partnership and the improvement of the regulatory and legal regulation of its activities, to create a regulatory basis for attracting charitable funds to socially important investment projects, in particular, regarding rehabilitation, reintegration, preservation and restoration of human capital. The study focuses on the analysis of the current state of the private medical services market in Ukraine and existing cases of involving charitable partners in investment projects in the field of rehabilitation. The preference for the development of public-private-philanthropic partnerships is justified, as opposed to classic public-private partnerships, which are associated with the social significance of rehabilitation problems and insufficient funding. It was found that the activities of rehabilitation centers with the support of charitable partners are aimed not only at the quantity, but also at the quality of rehabilitation, orientation to the best international practices and advanced training of medical personnel. Therefore, such an investment approach is relevant especially in times of unstable economy and social challenges. The purpose of the article is to summarize the practical experience of creating and operating rehabilitation centers on the principles of public-private-philanthropic partnership in Ukraine, and to develop recommendations for improving the regulatory and legal framework to create a favorable legislative framework for the implementation of this model. It was found that today the regulatory and legal framework does not regulate the activities of such partnerships, as they are new to Ukrainian practice and are a response to the challenges of Ukrainian realities. Therefore, the proposals provided for improving the regulatory and legal framework are designed to provide a legislative basis for the development of this investment model. This will allow scaling up successful projects and will contribute to increasing the role of the charitable sector in areas related to the humanitarian dimension, such as: rehabilitation, reintegration, preservation and restoration of human capital. The novelty of the study lies in the attempt to adapt existing regulatory documents to the activities of these partnerships, because despite the lack of special regulatory and legal regulation, partnerships of this type already exist in Ukraine and are innovative. The article uses general scientific and special research methods: case study method, comparative analysis and logical generalization. Their application allowed us to widely explore the issues of the development of public-private-philanthropic partnerships, and to identify their advantages over classical public-private partnerships. Since Ukraine already has successful experience in the functioning of public-private-philanthropic partnerships in the field of rehabilitation, further scaling up of this practice requires the identification of criteria by which institutional support for sanatorium-resort and rehabilitation institutions should be carried out within the framework of this investment model. Therefore, the proposed criteria are designed to intensify the attraction of funds from the charitable partner in those areas that require optimization of the costs of the private partner and the state.

Purpose This paper explores the role of imprinting in shaping next-generation human capital within family firms, particularly focusing on how early-career experiences inside or outside the firm affect succession planning and organizational performance. This research advances our understanding by integrating imprinting theory with human capital accumulation theory, offering new insights into the subtleties of leadership succession in family firms. It also provides practical implications for balancing internal and external career experiences to optimize succession planning and long-term organizational adaptability. Design/methodology/approach Using a phased survey of 121 family firm employees, we employ regression and structural equation modeling to assess the relationships between early-career imprinting, human capital (firm-specific vs. general), organizational learning, task performance and turnover intention. We supplement this quantitative analysis with illustrative interviews from family firm members to provide richer insights into how imprinting shapes human capital accumulation and influences succession planning outcomes. Findings Imprinting within family firms significantly enhances firm-specific human capital, which leads to improved task performance and a deeper alignment with the firm’s operational processes. However, this comes at the cost of limiting general human capital, which constrains adaptability and broader market knowledge. Originality/value This study highlights the balance between internal and external career experiences in shaping leadership transitions in family firms and offers practical insights for succession planning strategies. While previous research has emphasized the role of human capital in family business succession, this study deepens the understanding by using imprinting during early-career experiences, whether inside or outside the family firm. It underscores the importance of integrating firm-specific knowledge with external expertise to foster both continuity and innovation in family firms.

The article is devoted to the formation of a framework for strategic management of innovative development of energy companies under conditions of digital transformation, energy transition, military risks, cyber threats and market instability. The relevance of the study is determined by the need to modernize management systems of energy enterprises, develop smart-grid technologies, ensure energy security, and integrate ESG principles into strategic decision-making. The purpose of the study is to develop a conceptual framework that combines strategic, technological, digital, personnel and ESG components into a unified management system. The methodological basis includes a systemic approach, structural-functional analysis, logical generalization, comparison and synthesis of modern scientific approaches to innovative development in the energy sector. The study analyzes existing framework models related to Utility 4.0, digital transformation, ESG-oriented management, data analytics and sustainable energy development. It is substantiated that most existing approaches focus on separate aspects of transformation and do not fully ensure the integration of all key components of strategic management. As a result, a comprehensive framework for strategic management of innovative development of energy companies is proposed. Its structure includes five interrelated blocks: strategic-management, technological-innovative, digital, personnel-competence, and ESG & sustainable development. The strategic-management block acts as the coordinating core of the framework and ensures the alignment of innovation policy, corporate strategy, digital transformation and ESG priorities. The technological-innovative block forms the basis for modernization of energy infrastructure, implementation of smart-grid technologies and development of intelligent energy systems. The digital block creates an information and analytical environment based on digital platforms, Big Data, artificial intelligence and decision-support systems. The personnel-competence block focuses on human capital development, digital skills and innovation-oriented organizational culture. The ESG block integrates decarbonization, energy efficiency, environmental responsibility and sustainable development principles into strategic management. The practical significance of the results lies in the possibility of using the proposed framework to improve strategic management systems of energy companies, strengthen energy security, increase adaptability to crisis conditions and support sustainable post-war recovery of the Ukrainian energy sector. Keywords: ESG, smart-grid technologies, energy security, energy companies, energy efficiency, innovative development, human capital, sustainable development, strategic management, framework, digital transformation, digitalization

The role of financial inclusion, social equity, and technological innovation to promote inclusive wealth: Empirical evidence from selected G 20 countries.

The UCL-Lancet Commission on Migration and Health: review of the state of progress.

Health is a direct determinant of human well-being and an essential input to economic productivity and societal resilience. In the Economic Community of West African States, persistent deficits in equitable access to healthcare and inclusive human capital development are caused by socioeconomic inequalities, financial barriers, and a fragmented healthcare system. These factors lead to low economic productivity and a continuous cycle of poverty and also violate people’s fundamental right to health and education. This research examined the impact of healthcare accessibility on inclusive human capital development among ECOWAS countries using a time series data from 1980 to 2023. Human capital theory is the theoretical framework for this study. The variables used are the inequality human development index (IHDI) (dependent variable) and other independent variables, such as education expenditure (EDEx), public health expenditure (PHEx), real GDP per capita (GDPp), poverty headcount ratio, and institutional quality (INSQ). An instrumental variables (IV) estimator of dynamic panel models based on the System Generalized Method of Moments (SGMM) was used in the estimation. The study found that public health expenditure, GDP per capita, and institutional quality have a negative and significant impact on the inclusive development of the region due to structural corruption lag, high administrative overhead and systemic leakages. Education expenditure and poverty headcount ratio have a negative and insignificant impact. This study recommends, amongst others, that access to health care such as county or community hospitals, mobile clinics, and Ward ambulance services should be provided to increase health accessibility. The government can also promote inclusive growth policies, such as free or sponsored access to education and health care, to ensure that economic gains reach the poor in ECOWAS countries.

ABSTRACT Globalisation has intensified international student mobility, encouraging states to frame overseas scholarships as strategic investments in national development and institutional capacity-building. By examining the motivations and expectations of the Indonesian National Police (INP) in assigning officers’ postgraduate study at world-class universities through the Indonesia Endowment Funds for Education (LPDP) scholarship scheme, this study marks a notable shift from INP’s long-standing common practice for officer postgraduate education from utilising national universities to universities in developed countries. Guided by human capital and soft power theory in navigating expectancy theory of motivation, the study employs a qualitative design using narrative analysis and triangulated data from policy documents, elite statements, and scholarship awardees’ interviews. Findings indicate that the programme is driven by intrinsic motivations related to human capital enhancement and institutional regeneration that coexist with extrinsic goals of nation-building and national competitiveness, while soft power outcomes remain unevenly realised despite strong human capital institutionalisation.