Search Results (52)

This article discusses the policy of Bussed Education in Türkiye in the context of the fourth Sustainable Development Goal, “quality education”. The contributions made by the policy of Bussed Education, which aims to facilitate the access of students living in disadvantaged areas to education under equal conditions, to quality education were examined. The sample of the study, which was carried out using a qualitative research method, consisted of 38 teachers and 39 school principals (77 participants in total) selected via purposeful sampling. The participants were working at schools in different regions of Türkiye where education by busing was being implemented. Data were collected in interviews carried out using a semi-structured interview form. The results revealed four themes in the context of which the policy of Bussed Education supported Sustainable Development Goal 4. It was concluded that the policy of Busing in Education was a policy that facilitated the access of students living in disadvantaged areas to schools and supported access to quality education in terms of equal opportunities, sustainability, inclusivity, and employment. Recommendations made for policymakers included the acknowledgment of the shortcomings of busing in education and the resolution of arising challenges by the consideration of contextual conditions. Full article

Temporary agency work (TAW) has expanded globally as organizations seek flexibility amid skill shortages and demand volatility. In 2015 the United Nations recognized ‘decent work’ as Sustainable Development Goal (SDG 8), emphasizing sustainable economic growth, fair employment opportunities accessible to all without discrimination, environmental responsibility, and social inclusiveness. This study examines why user organizations (clients) adopt TAW and how these drivers materialize in stakeholder practices that align—or fail to align—with SDG-8 dimensions of decent work. Within a qualitative-dominant, explanatory sequential mixed-methods case study, documentary and statistical analyses were combined with 19 semi-structured interviews across agencies, clients, agency workers, trade unions, and relevant authorities. Inductive thematic analysis identified seven demand-side driver categories and assessed their effects using the SDG-8 pillars as an analytical lens (employment creation, rights at work, social protection, social dialogue). Findings indicate that TAW is primarily deployed to buffer volatility and labour shortages, accelerate hiring, and shift HR administration and parts of risk to agencies, with limited integration of SDG-8–consistent practices. Three cross-cutting gaps emerged: (i) social dialogue is narrow and compliance-oriented, with little strategic focus on decent-work outcomes; (ii) agency-worker voice and representation are weak, and agencies are not consistently recognised as social partners; and (iii) social-sustainability efforts are sparse and ad hoc, with few structured measures for skill development, equal treatment, or clear conversion pathways, while environmentally friendly initiatives are almost completely absent. In Slovenia, TAW fills systemic labour gaps but remains weakly integrated with SDG-8 practices. The study links demand-side drivers to specific decent-work shortfalls and proposes a multi-level policy roadmap—regulatory, industry, TAW agency, and social-dialogue platforms—to advance progress toward social sustainability and environmental responsibility. Full article

This paper introduces a novel framework for designing fair and sustainable unemployment benefits, grounded in cooperative game theory and real-time fiscal policy. The labor market is modeled as a coalitional game, where a random subset of participants is employed, generating stochastic economic output. To ensure fairness, we adopt equal employment opportunity as a normative benchmark and propose a dichotomous valuation rule that assigns value to both employed and unemployed participants. Within a continuous-time, balanced budget framework, we derive a closed-form payroll tax rate that is fair, debt-free, and asymptotically risk-free. This tax rule is robust across alternative objectives and promotes employment, productivity, and equality of outcome. The framework naturally extends to other domains involving random bipartitions and shared payoffs, such as voting rights, health insurance, road tolling, and feature selection in machine learning. Our approach offers a transparent, theoretically grounded policy tool for reducing poverty and economic inequality while maintaining fiscal discipline. Full article

Persistent gender inequality in industrial employment continues to challenge inclusive labor systems worldwide. While education and labor market reforms have expanded opportunities for women, structural barriers remain deeply embedded in manufacturing sectors. This study adopts a systems-based perspective to investigate the institutional, demographic, and health-related factors shaping female employment in manufacturing across ten countries from 2013 to 2022. By integrating feminist political economy with interpretable machine learning techniques—including Random Forest, Gradient Boosting, and Extra Trees regressors—the study models non-linear and interactive relationships among thirteen structural indicators drawn from the World Bank’s World Development Indicators. The findings reveal that general female labor force participation is the strongest and most consistent predictor of women’s inclusion in manufacturing. Health-related variables, such as maternal mortality and fertility rates, exhibit strong negative effects, underscoring the continued influence of caregiving burdens and inadequate health systems. Education indicators show more variable impacts, suggesting that institutional context mediates their effectiveness. The use of SHAP and Partial Dependence Plots enhances the transparency of the models and supports a more nuanced understanding of how structural forces shape gendered labor outcomes. In addition to modeling structural inequalities, this study highlights how gender knowledges and cultures of equality are contextually produced and negotiated within the manufacturing sector. The findings underscore the importance of understanding both global systems and local cultural frameworks in shaping gendered employment outcomes. By linking interpretable machine learning with systems thinking, this research provides a holistic and data-driven account of industrial gender inequality. The results offer policy-relevant insights for designing more inclusive labor strategies that address not only economic incentives but also the social and institutional systems in which employment patterns are embedded. Full article

Employment and job-hunting can improve well-being by increasing confidence among emerging adults when equal employment opportunities exist for women and men. However, the relationship between well-being, traditional gender role attitudes, and job-hunting among women in emerging adulthood remains unclear. This study examined the interactions between gender role attitudes and job-hunting in relation to the well-being of emerging adult women. An online survey was conducted in five universities and five companies in Japan. The dependent variable was well-being. The explanatory variables were job-hunting experience within the past 6 months and traditional gender role attitudes measured by the gender role stressor scale. Of the 137 women, we analyzed the data from 132 participants with no missing data. Thirty-five (26.5%) participants were employed and had job-hunting experience. Multiple regression analysis showed that job-hunting experiences were negatively associated with well-being. Additionally, gender role attitudes were not associated with well-being. In the interaction between job-hunting experience and gender role attitudes, the more traditional one’s attitude toward gender roles is, the more negative the relationship between job-hunting experience and well-being. Job-hunting may not necessarily lead to well-being for all women, so women’s attitudes toward gender roles should be considered and respected. Full article

The transition to clean energy is not inherently positive or negative, and its impacts depend on the social context, power relations, and mechanisms to include marginalized voices. India, with its ambitious climate targets and commitment to the UN SDG Agenda, is a key country for ensuring an inclusive and sustainable transition. This paper aims to understand whether India’s commitment to the SDG Agenda’s overarching principle of ‘leaving no one behind’ is reflected in the design of its domestic solar policies. It analyzes how energy justice concerns are addressed in state-level solar policies. To that end, a pragmatic framework was developed to identify key justice dimensions and indicators, linked to the SDG targets, that are essential for an inclusive transition. This research conducted a qualitative interpretive content analysis of 29 solar energy policies, using the three identified framework dimensions—income growth, enhancing inclusion, and equal opportunities. We found that the themes around energy access, employment, and skill development are reflected in policies, while those around the inclusion of the poor, women, and community remain limited. The findings indicate that the policies have focused on low-impact justice concerns, lacking structural transformation. To address these gaps, the study proposes targeted subsidies, community ownership, and gender-inclusive mechanisms. The framework offers a pragmatic tool for the evaluation of clean energy policies in the Global South, and the empirical results provide insights for the synergistic implementation of the climate and sustainable development agenda. Full article

Hyperparameter optimization (HPO) is critical for enhancing the predictive performance of machine learning models in credit risk assessment for peer-to-peer (P2P) lending. This study evaluates four HPO methods, Grid Search, Random Search, Hyperopt, and Optuna, across four models, Logistic Regression, Random Forest, XGBoost, and LightGBM, using three real-world datasets (Lending Club, Australia, Taiwan). We assess predictive accuracy (AUC, Sensitivity, Specificity, G-Mean), computational efficiency, robustness, and interpretability. LightGBM achieves the highest AUC (e.g., $70.77\%$ on Lending Club, $93.25\%$ on Australia, $77.85\%$ on Taiwan), with XGBoost performing comparably. Bayesian methods (Hyperopt, Optuna) match or approach Grid Search’s accuracy while reducing runtime by up to $75.7$-fold (e.g., $3.19$ vs. $241.47$ min for LightGBM on Lending Club). A sensitivity analysis confirms robust hyperparameter configurations, with AUC variations typically below $0.4\%$ under $\pm 10\%$ perturbations. A feature importance analysis, using gain and SHAP metrics, identifies debt-to-income ratio and employment title as key default predictors, with stable rankings (Spearman correlation $> 0.95, p<0.01$) across tuning methods, enhancing model interpretability. Operational impact depends on data quality, scalable infrastructure, fairness audits for features like employment title, and stakeholder collaboration to ensure compliance with regulations like the EU AI Act and U.S. Equal Credit Opportunity Act. These findings advocate Bayesian HPO and ensemble models in P2P lending, offering scalable, transparent, and fair solutions for default prediction, with future research suggested to explore advanced resampling, cost-sensitive metrics, and feature interactions. Full article

Phenylene-based bis-oxamate polydentate ligands offer a unique opportunity for creating a large variety of coordination compounds, in which paramagnetic metal ions are strongly magnetically coupled. The employment of imino nitroxyl (IN) radicals as supplementary ligands confers numerous benefits, including the strong ferromagnetic interaction between Ni and IN. Furthermore, the chelating IN can act as a capping ligand, thereby impeding the formation of coordination polymers. In this study, we present the molecular and crystal structure and experimental and theoretical magnetic behavior of an exceptional neutral trinuclear complex [Ni(L³⁻)₂(IN)₃]∙5CH₃OH (1) (L is N,N′-1,3-phenylenebis-oxamic acid; IN is [4,4,5,5-tetramethyl-2-(6-methylpyridin-2-yl)-4,5-dihydro-1H-imidazol-1-yl]oxidanyl radical) with a cyclic triangular arrangement. Moreover, in this compound three Ni²⁺ ions are linked by the two bis-oxamate ligands playing a rare tritopic function due to an unprecedented triple deprotonation of the related meta-phenylene-bis(oxamic acid). The main evidence of such a deprotonation of the ligand is the neutrality of the cluster, since there are no anions or cations compensating for its charge in the crystals of the compound. Despite the presence of six possible magnetic couplings in the trinuclear cluster 1, its behavior was reproduced with a high degree of accuracy using a three-J model and ZFS, under the assumption that the three different Ni-IN interactions are equal to each other, whereas only two equivalent-in-value Ni-Ni interactions were taken into account, with the third one being equated to zero. Our study indicates the presence of two opposite-in-nature types of magnetic interactions within the triangular core. DFT and CASSCF/NEVPT2 calculations were completed to support the experimental magnetic data simulation. Full article

Income inequality impedes rural economic development. As the digital economy advances, e-commerce (EC) offers a novel solution to reduce rural income inequality. Based on the framework of the equality of opportunity theory, this research utilizes data from China Rural Revitalization Survey, using the RIF model and mediation effect model to investigate the influence and mechanisms of e-commerce operations (EOs) on the farmers’ income gap (FIG), while also analyzing the heterogeneity of EO’s effects on the FIG. Consequently, the impact of the varying scales and modes of EOs on the FIG is further examined. The findings indicate that EO can substantially diminish the FIG, as corroborated by robustness and endogeneity tests. The findings of the intermediate effect indicate that EO diminishes the FIG by reducing the disparity in labor endowment. The heterogeneity study results indicated that EOs are more effective in reducing the FIG in western China, major grain-producing areas, and mountainous areas. Further discussion reveals a stronger reduction effect of large-scale and platform EC. This study provides micro-level evidence that the digital economy empowers farmers for sustainable development and prosperity. The government should improve rural EC support and create a mechanism for disadvantaged rural populations. To reduce EC development discrepancies and promote farmer equity, specific assistance programs for undeveloped regions are needed. Local governments can also strengthen skill training programs for farmers, especially low-income ones, to boost labor skills. Finally, they can assist rural EC’s transformation to large scale and flat, maximize its role in employment, and narrow the FIG. Full article

Background: Health inequalities between citizens of different European countries and between socially advantaged and disadvantaged groups are seen as challenges to the EU’s commitment to solidarity, social and economic cohesion, human rights, and equality of opportunity. This study aimed to assess inequity in the distribution of specific communicable and non-communicable diseases among the adult population of Pécs City, Hungary. Methods: This is an ecological study combined with health inequity analysis. The study population comprised adult patients living in the city of Pécs who were treated for circulatory, neoplasm, or respiratory diseases in 2019. Hospitalization and local socioeconomic data by zip codes were obtained from the National Health Insurance Fund of Hungary and the Hungarian Central Statistical Office. Diseases were classified according to the International Classification of Diseases, 10th revision (ICD-10). The differences and ratios of the proportions of treated diseases were calculated, along with the concentration index (C). Zip codes were ranked into categories 1 to 5 based on socio-demographic variables: education, employment status, and apartment ownership. A p-value of less than 0.05 was used as the cut-off point for statistical significance. IBM SPSS version 25 and STATA version 14.0 software were used for data analysis. Results: All 36 zip codes in the city of Pécs were included in this study. Analysis based on employment status showed a higher prevalence of neoplasms in areas with higher unemployment (C = −0.0528; 95% CI = −0.0975, −0.0080). In terms of apartment ownership, neoplasms (C = −0.0742; 95% CI = −0.1102, −0.0382) and circulatory diseases (C = −0.0280; 95% CI = −0.0520, −0.0039) were more prevalent in zip codes with fewer apartment owners. Conclusions: This study identified significant inequity in the distribution of neoplasms and circulatory diseases among the adult population of Pécs, especially in areas where the low socioeconomic segment of the population lives. Efforts should be made to establish tailored interventions such as targeted healthcare funding and employment programs for the unemployed and National Housing Trust Fund for those who do not own houses through multisectoral collaboration among healthcare providers, employers, governors, and policymakers. Full article

A form of discrimination associated with international migration is workplace discrimination. This study focused on identifying discriminatory actions in working conditions, as perceived by Venezuelan immigrants residing in Cúcuta, La Parada and Los Patios (Colombia). The goal was to determine the measures employers could implement to reduce such discriminatory actions. A quantitative, non-probabilistic snowball sampling method was adopted, followed by a survey of 177 immigrants. An exploratory and descriptive analysis of the variables under study was conducted using multivariate analysis techniques of multiple correspondences with optimal scaling. The study also explored discrimination perceived by employed and unemployed immigrants, as well as by those who had been denied work during their job search. The study concluded that to address discrimination by employers, culture should be linked to ethics and corporate social responsibility, enabling organisations to successfully raise awareness among their staff, managers and those in charge of human resource management about non-discrimination policies, equal treatment and opportunities, from design to implementation, along with necessary monitoring by Labour Inspecting Offices. Full article

Youth research has, for decades, focused on examining current societal conditions and their potential shortcomings for young people in areas such as education, income, work, and gender equality. However, it has been less common to integrate planetary boundaries and so-called “overshoot” areas—such as biodiversity loss or climate change—into youth research. This paradigm shift is increasingly necessary, as six out of nine planetary boundaries have already been crossed, and the planet remains on track for approximately 2.7 degrees Celsius (°C) peak warming by 2100. In addition to planetary threats, Morocco faces social challenges, particularly high unemployment. Unemployment is highest among young people aged 15 to 24, reaching 25% over the past decade, nearly double the global youth unemployment rate. This article analyzes a case study we refer to as the “Gardening School” in Morocco, a country facing significant climate stress. It aims to (a) explore new methods for conducting more globally oriented youth research that is ethical and environmentally friendly and (b) examine the wellbeing of young people and their environment, as well as how to support and strengthen both. The findings of this article highlight the potential for youth research to develop new approaches, especially when conducted alongside young people and educational and sustainable environments. These environments enable younger generations to deepen their connection to and understanding of biodiversity, sustainability, and climate change, while learning to use natural resources in a sustainable and ethical manner. This approach ultimately aims to ensure a livable future for the coming generations and foster sustainable employment opportunities. Full article

Despite an increase in the promotion of equal opportunities at work, there is still persistent discrimination against lesbian and gay (LG) workers. In this vein, this study aimed to systematically review the research investigating the peculiarities of the work experience of LG people, particularly considering the theoretical frameworks in the approach to sexual minorities’ work-related issues, as well as individual and contextual variables influencing the work experience and the impact they may have on health and well-being. We explored the PsycArticles, EMBASE, Scopus, and Web of Science electronic databases and the EBSCOHost (PsycInfo, Psychology and Behavioral Sciences Collection) scholarly search engine, between 01/01/2013 to 01/03/2023, with regards to the search terms “lgb*”, “gay*”, “lesbian*”, “homosexual*”, and “sexual minorit*”, associated with “employee*”, ”personnel”, “worker*”, and “staff”, and with “workplace”, “work”, “job”, “occupation”, “employment”, and “career”. Data were narratively synthesized and critically discussed. Of the 1584 potentially eligible articles, 140 papers contributed to this systematic review. Five main theoretical frameworks were identified: (a) minority stress, (b) sexual prejudice and stigma, (c) queer and Foucauldian paradigms, (d) social identity theories, and (e) intersectionality. Furthermore, significant individual (e.g., outness, disclosure, and work–family conflict) and contextual (e.g., heterosexist and heteronormative workplace climate and culture) variables influencing LG people’s work experience were identified. This review highlights the need to develop a unified theoretical model for the construction of specific measurement tools to assess the work experience of LG people and for the implementation of interventions aimed at minimizing the effects of stigma in work contexts. Full article

The Great Reset is a concept proposed by the World Economic Forum to rebuild the global economy sustainably following the COVID-19 pandemic, emphasising stakeholder capitalism, greener practices, and more equitable social contracts. However, most of the literature focuses on the role of business and government actors in the Great Reset. At the same time, research that considers the role of higher education institutions (HEIs) is lacking. However, HEIs have the significant capacity to support various aspects of the Great Reset. In this work, we examine different mechanisms by which HEIs could bring change, such as fostering the growth of workforce skills, promoting entrepreneurship and innovation, participating in community development and others. A survey on a sample of university professors, postdoctoral researchers, and research assistants has been conducted with the goal of evaluating the degree to which HEIs have played a role in influencing economic recovery after COVID-19, leveraging the industry 4.0, enhancing regional development, revitalising global cooperation, formulating sustainable business models, restoring environmental well-being, and restructuring social contracts, skills, and employment opportunities. A two-step cluster analysis has been conducted, indicating that HEIs played different roles in the Great Reset process, being the Leaders, Followers and Laggers. We found a significant difference between the various groups of respondents according to their scientific field, position, and region regarding the perception of the role played by their HEIs in influencing economic recovery after COVID-19. The position of the respondents contributed to their perception of the role that their HEIs participated in the process of the Great Reset, with the assistant professors perceiving the most often that their HEIs are Leaders. Additionally, the scientific field and region of the HEI also impacted their role in the Great Reset, with the HEIs from technology and countries outside of Europe being the Leaders most often. On the other hand, Followers and Laggers were equally from social sciences and other fields and European countries. Full article

This paper examines the interaction between land policies and rural labor migration in China and Europe, highlighting how land reforms guide labor mobility and their impacts on land and social structures. In China, the Household Contract Responsibility System and land transfer policies have facilitated agricultural scale expansion and the urbanization of the rural labor force. Homestead reforms have further enhanced farmers’ asset liquidity. In Europe, using Spain as a case study, EU agricultural policies have spurred agricultural modernization, economic diversification, and intensive land use. These advancements benefitted from a mature land transfer market and increased non-agricultural employment opportunities. Both China and Europe face challenges of population aging and rural depopulation, necessitating improvements in land use efficiency, the balance of the scale, and the protection of farmers’ rights and interests. Europe addresses labor shortages through technology, mechanization, and cooperatives, while China employs land trusteeship, transfer platforms, and the “three rights separation” system to combat land abandonment and labor shortages. Future research should strengthen comparative studies between China and Europe, quantify interactive relationships, consider the impact of transnational labor mobility under globalization, explore policy innovations, and foster international cooperation to address demographic changes and agricultural labor shortages. Additionally, promoting sustainable land use and farmers’ rights, equalizing urban–rural public services, enhancing education and training, and improving the social security system are crucial for integrated urban–rural development. Full article