Sustainable Development Goal 10: Reduced Inequalities (2830)

Climate action has been deemed as fundamental to counteract the impacts of rising global temperatures on health which will disproportionately affect low-income populations, racial and ethnic minorities, women, and other historically marginalized groups. Along with poverty reduction, inequality mitigation, gender equality promotion, and public health protection, climate action has been recognized as a fundamental goal for achieving Sustainable Development Goals (SDGs). However, despite growing recognition of the need to align climate action with development goals, there is a knowledge gap regarding how the implementation of climate change mitigation and adaptation policies impacts social inequalities. To address this knowledge gap, this document proposes a scoping review protocol aimed at identifying and synthesizing research that examines the impacts of climate policies on inequalities at the subnational scales, within the transport, infrastructure and health. The objective of this review is to map existing evidence, identify conceptual and empirical gaps and inform policy strategies that promote climate action in line with values of social justice and equality. Full article

COVID-19 significantly disrupted the progress of the SDGs globally, including in Saudi Arabia. This study explores the progression of SDGs in Saudi Arabia during and after COVID-19, focusing on four dimensions: financial, socioeconomic, health, and environmental. A qualitative approach was employed, involving 19 semi-structured interviews conducted in two rounds (during and post COVID-19). Thematic analysis, conducted using NVivo 14.0, identified four main themes and 16 subthemes, which align with the SDG dimensions. The study revealed significant disruptions across four SDG dimensions during the pandemic. These included economic downturns, increased poverty, strained healthcare systems, and environmental changes. Guided by systems theory as an analytical lens, the study findings indicate that while COVID-19 caused disruptions across SDGs, it also acted as a catalyst for transformational shifts across interconnected SDG domains. The post-pandemic period has shown recovery, including economic growth, enhanced gender equality, improved mental health services, and a renewed focus on sustainability. Six cross-thematic themes emerged: (1) economic recovery and employment, (2) gender equity and education, (3) mental health and healthcare, (4) poverty reduction and food security, (5) environmental sustainability, and (6) digital transformation resilience. Based on these insights, the study provides recommendations for Saudi policymakers to align SDG progress with Saudi Vision 2030 in line with pragmatic sustainability. Full article

Seismic disasters pose major challenges to urban resilience, particularly in high-density cities where the concentration of people, buildings, and infrastructure amplifies disaster risk. This study establishes a GIS-based analytical framework to evaluate the spatial distribution and fairness of seismic emergency shelters in Seoul, using built-up neighborhoods (called dongs in Korean) as the basic analytical unit. Three dimensions are assessed: (1) 500 m walking accessibility based on the road network; (2) redundancy, representing the number of shelters simultaneously reachable; and (3) fairness analysis, integrating spatial and population-based dimensions to reveal disparities between shelter provision and population demand. The results indicate that overall accessibility in Seoul is relatively high, with more than 50% of dongs achieving coverage levels above 50%. However, distinct spatial disparities remain. Central and mountainous areas, such as Jung-gu, Jongno-gu, and southern Seocho-gu, show coverage rates below 20%, while districts in the southwest and northeast exhibit higher redundancy. Fairness analysis further reveals inequality in shelter capacity relative to population: excluding null values, the median coverage ratio is 0.92 and the mean is 1.29, with only 44.97% of dongs achieving sufficient or surplus capacity (coverage ≥ 1). Notably, 44 dongs fall into the Low–High category, representing areas with large populations but limited shelter access, mainly concentrated in Jungnang-gu, Gangbuk-gu, and Yangcheon-gu. These dongs should be prioritized in future planning. Policy implications highlight strengthening shelter provision in high-population but low-coverage zones, incorporating evacuation functions into urban redevelopment, promoting inter-district resource sharing, and improving public awareness. The proposed framework provides a transferable model for optimizing seismic shelter systems in other high-density urban contexts. Full article

Post-industrial waterfronts have become key arenas of urban transformation, where heritage, public space and social equity intersect. This study examined the Xuhui Waterfront in Shanghai under the ‘One River, One Creek’ initiative, which converted former industrial land into a continuous riverfront corridor of parks and cultural venues. The research aimed to evaluate whether this large-scale renewal enhanced social equity or produced new forms of exclusion. A tripartite analytical framework of distributive, procedural and recognitional justice was applied, combining spatial mapping, remote-sensing analysis of vegetation and heat exposure, housing price-to-income ratio assessment, and policy review from 2015 to 2024. The results showed that the continuity of the riverfront, increased greenery and adaptive reuse of industrial structures improved accessibility, environmental quality and cultural enjoyment. However, housing affordability became increasingly polarised, indicating emerging gentrification and generational inequality. This study concluded that this dual outcome reflected the fiscal dependency of state-led renewal on land-lease revenues and high-end development. It suggested that future waterfront projects could adopt financially sustainable yet inclusive models, such as incremental phasing, public–private partnerships and guided self-renewal, to better reconcile heritage conservation, public-space creation and social fairness. Full article

Identifying the environmental and social factors that influence crime is crucial for effective crime prevention and for building safer cities. Boundary areas are often neglected, despite being hotspots for criminal activity. However, previous studies have primarily focused on physical boundaries, with insufficient attention paid to social boundaries shaped by factors such as population composition and socioeconomic disparities. Additionally, existing research methods remain limited in scope, with models that struggle to capture the nonlinear and complex nature of these relationships. This study proposes a comprehensive approach by measuring both multidimensional physical and social boundaries within urban environments. Using machine learning models, we present three main findings: urban boundaries are strong predictors of crime; boundary variables show stronger correlations with crime than intra-area variables; and both social and physical boundaries warrant equal attention. These findings suggest that governments should enhance problem-oriented policing at boundary hotspots in urban boundary areas while also promoting social integration to address the root causes of crime. Full article

Objective: To assess the structure and regional variation in mortality among school-aged children in Kazakhstan from 2015 to 2024, and to determine its association with dietary patterns and socio-economic factors. Materials and Methods: An ecological inter-regional analysis was conducted using official statistical data of the Republic of Kazakhstan. Mortality rates among children aged 6–17 years, the distribution of death causes according to ICD-10, indicators of consumption of major food product groups, and poverty levels were examined. Linear mixed-effects regression with a random intercept for region and fixed effects for year and covariates, and spatial description of regional trends were applied. Results: Variation in school-age mortality across regions and calendar years was evident, with external causes predominating, followed by diseases of the nervous system, neoplasms, and diseases of the circulatory and respiratory systems in the mortality structure. In the multivariable linear mixed-effects model, none of the dietary or socioeconomic predictors showed statistically significant independent associations with mortality (all p > 0.05), and the calendar year was not significant (p = 0.180). Model explanatory power was very low (marginal R² = 0.017; conditional R² = 0.020; ICC = 0.005), and residuals demonstrated significant temporal autocorrelation (p < 0.001). Conclusions: The mortality structure among school-aged children is shaped by a complex interplay of medical, social, and behavioral determinants. Dietary and socioeconomic indicators showed only weak ecological associations with mortality and did not retain independent effects after multivariable adjustment, underscoring the multifactorial nature of regional mortality patterns and the need for multisectoral action, including improved access to nutritious foods, enhanced social well-being, and strengthened health system capacity. Full article

We investigate the fundamental trade-off between entropy and the Gini index within income distributions, employing a stochastic framework to expose deficiencies in conventional inequality metrics. Anchored in the principle of maximum entropy (ME), we position entropy as a key marker of societal robustness, while the Gini index, identical to the (second-order) K-spread coefficient, captures spread but neglects dynamics in distribution tails. We recommend supplanting Lorenz profiles with simpler graphs such as the odds and probability density functions, and a core set of numerical indicators (K-spread $K_2/\mu$, standardized entropy ${\Phi }_{\mu }$, and upper and lower tail indices, $\xi , \zeta$) for deeper diagnostics. This approach fuses ME into disparity evaluation, highlighting a path to harmonize fairness with structural endurance. Drawing from percentile records in the World Income Inequality Database from 1947 to 2023, we fit flexible models (Pareto–Burr–Feller, Dagum) and extract K-moments and tail indices. The results unveil a concave frontier: moderate Gini reductions have little effect on entropy, but aggressive equalization incurs steep stability costs. Country-level analyses (Argentina, Brazil, South Africa, Bulgaria) link entropy declines to political ruptures, positioning low entropy as a precursor to instability. On the other hand, analyses based on the core set of indicators for present-day geopolitical powers show that they are positioned in a high stability area. Full article

Against the backdrop of China’s transition from the eradication of absolute poverty toward the pursuit of common prosperity, equitable access to energy has become an increasingly important policy concern. This study develops a multidimensional framework to assess energy poverty from three interrelated dimensions: energy use level, energy structure, and energy capability. Using panel data for 30 provincial-level regions from 2005 to 2020, a provincial energy poverty index (EPI) is constructed based on the entropy-weighting approach. The spatial and temporal dynamics of energy poverty are examined using Moran’s I, the Dagum Gini decomposition, kernel density estimation, and spatial Markov chain analysis. The results reveal several key patterns. (1) Although energy poverty has declined nationwide, it remains pronounced in parts of western, central, and northeastern China. (2) Energy poverty exhibits significant spatial clustering, with high-poverty clusters concentrated in resource-dependent regions such as Shanxi and Inner Mongolia, while low-poverty clusters are mainly located along the eastern coast. (3) Regional disparities follow an inverted U-shaped trajectory over time, with east–west differences constituting the primary source of overall inequality. (4) Moreover, the evolution of energy poverty displays strong path dependence and club convergence. These findings highlight the need to strengthen dynamic monitoring and governance mechanisms, promote region-specific clean energy development, and enhance cross-regional coordination to support energy security and green transformation under China’s “dual-carbon” objectives. Full article

In recent decades, Equality Plans have played a pivotal role in promoting substantive gender equality in academia, particularly in terms of professional advancement and the reduction in gender gaps. Despite notable progress, structural inequalities persist in restricting access, retention, and equitable career development in higher education. This study examines the Equality Plans of nine Andalusian public universities, identifying the key pillars, measures, and actions explicitly targeting professional promotion. Employing a qualitative approach and content analysis, the study assesses both the progress made and the challenges that persist in implementing these policies. The findings indicate that, over the course of a decade of developing equality strategies, universities have adopted and implemented plans that have generated significant initiatives to advance gender equality. Nevertheless, notable disparities remain concerning the updating, terminology, structure, and, particularly, the scope of the measures implemented. This article highlights the need to strengthen assessment strategies and broaden the scope of intervention in Equality Plans to ensure equitable and sustainable career advancement within the Andalusian university system, offering a transferable framework for promoting gender equality in other higher education contexts. Full article

Technical change plays a crucial role in improving environmental quality, while the influence of demand-side factors remains insufficiently examined. To clarify the pull effect of consumer demand on the transition to clean technology, this study develops a model of directed technical change incorporating quality innovation in consumer goods. The analysis shows that the relative prices and market sizes of clean consumer goods drive the transition to clean technology, generating a direct demand-induced pull for clean innovations. Income inequality determines the market size of clean relative to dirty goods, thereby shaping innovation incentives and influencing the effectiveness of environmental policies. By integrating learning-by-doing and demand-induced innovation for dirty and clean technologies, respectively, the model captures the path dependence of technological progress and explains the dynamic ‘U-shaped’ evolution of environmental quality under environmental policy intervention. These findings provide theoretical insight into how consumer heterogeneity and income distribution affect the direction of innovation and the long-term transition toward cleaner technologies. Full article

Sustainable language education necessitates scalable, accessible learning environments that foster long-term learner autonomy and reduce educational inequality. While online courses have democratized access to language learning globally, persistent deficiencies in instructor-student interaction and learner engagement compromise their sustainability. The “face effect,” denoting the influence of instructor facial appearance on learning outcomes, remains underexplored as a resource-efficient mechanism for enhancing engagement in digital environments. Furthermore, effective measures linking psychological engagement to sustained learning experiences are notably absent. This study addresses three research questions within a sustainable education framework: (1) How does instructor identity, particularly facial appearance, affect second language learners’ outcomes and interactivity in scalable online environments? (2) How can digital human technology dynamically personalize instructor appearance to support diverse learner populations in resource-efficient ways? (3) How does instructor identity influence learners’ flow state, a critical indicator of intrinsic motivation and self-directed learning capacity? Two controlled experiments with Japanese language learners examined three instructor identity conditions: real teacher identity, learner self-identity, and idol-inspired identity. Results demonstrated that the self-identity condition significantly enhanced oral performance and flow state dimensions, particularly concentration and weakened self-awareness. These findings indicate that identity-adaptive digital human instructors cultivate intrinsic motivation and learner autonomy, which are essential competencies for lifelong learning. This research advances Sustainable Development Goal 4 (Quality Education) by demonstrating that adaptive educational technology can simultaneously improve learning outcomes and psychological engagement in scalable, cost-effective online environments. The personalization capabilities of digital human instructors provide a sustainable pathway to reduce educational disparities while maintaining high-quality, engaging instruction accessible to diverse global populations. Full article

Political trust is essential for implementing the United Nations 2030 Agenda, particularly Sustainable Development Goal (SDG) 16 on building effective, accountable and inclusive institutions. At the same time, there has been a long-standing decline in political trust within democratic countries, which presents a considerable obstacle to the enactment of sustainable development policies. Although prior research has explored the relationship between economic conditions and political trust, evidence on how different dimensions of inequality jointly shape trust remains limited. This study addresses this gap by analysing how economic inequality, regional economic disparities, and subjective income perceptions affect political trust. Using data from the European Social Survey (Round 9), we estimate multilevel models that account for both individual- and country-level factors. The results demonstrate a negative relationship between individual income and political trust, while lower economic inequality strengthens this negative relationship. Our findings highlight that reducing economic inequality is crucial for enhancing political trust, suggesting that governments should prioritize equitable resource distribution and address regional disparities to foster trust in institutions. By integrating subjective well-being with objective economic indicators, this research offers a comprehensive view of how inequality affects political trust across the EU countries and outlines institutional and distributive conditions that support progress toward the SDGs. Full article

Background: With ageing populations and increasing labour force participation among women over 50, their mental health and psychological well-being require attention. The multifactorial etiology of depression has been extensively studied at both the individual and societal levels. Longitudinal analyses exploring socioeconomic and political determinants and whether they influence depression severity across European countries are lacking. Objective: The objective of this study was to examine a possible correlation between socioeconomic and political factors with depression severity in women aged 50 and older in Europe and to what extent these possible correlations vary across countries. Methods: This longitudinal observational study was conducted using data from 47,426 women aged 50–89 years across 15 European countries, drawn from seven waves (2004–2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE). Depression symptoms were measured by the validated European Depression Scale (EURO-D). The Andersen Model of Health Service Utilization was applied to contextualize twelve macro-level predictors of depression. These were organized into four overarching domains—health, education/employment/finance, equality, and security. Mean EURO-D scores were calculated with respect to age group and country. Correlations between predictors and depressive symptoms were assessed using Pearson’s and Adjusted Pearson’s correlation coefficients to determine the strength and rank of associations. Results: Significant correlations between predictor variables and depression were identified in nine countries, especially among women aged 80–89 years. Spain and Estonia showed strong predictors across several age groups. Eastern European countries exhibited the broadest range of significant correlations. Italy and France, despite high depression levels, revealed few significant predictors. Sweden, the Netherlands, and Switzerland had lower depression scores and demonstrated clearer correlations. Factors related to LGBTQ+ rights, perceived corruption, and peace indices emerged as influential. Conclusions: Country-specific historical, cultural, and sociopolitical factors appear to shape severity of depression in older women, with the strongest effects in the oldest age groups. Predictors of EURO-D scores varied by country and age group, with differences in explanatory power. The importance of predictors varied across age groups; listing them without context misrepresents the findings. The interplay between objective indicators and public perception, especially concerning minority rights and governance, highlights the need for culturally sensitive interventions. Future prevention efforts should incorporate these determinants to improve mental health across Europe. Full article

Background: Semaglutide is a Glucagon-like peptide-1 receptor agonist (GLP-1RA) used in the treatment of type 2 diabetes mellitus (T2DM) and weight management. While its clinical benefits are well established, concerns have emerged over off-label use, underreporting of adverse drug reactions (ADRs), and prescribing disparities. Aims: To examine real-world prescribing pattern treatment efficacy and ADRs associated with semaglutide in a socioeconomically deprived United Kingdom (UK) locality, and to compare these with national data. Methods: A retrospective service evaluation was conducted using anonymised data from 1403 patients across 42 GP practices under a data share agreement across a place-based group of practices in the West Midlands. National prescribing data were obtained from OpenPrescribing, and ADR data from the Medicines and Healthcare products Regulatory Agency (MHRA) Yellow Card Scheme (01/2020–12/2024). Analyses included demographic trends, treatment efficacy (HbA1c and weight), and socioeconomic comparisons using the Socioeconomic Index for Small Areas (SEISA) deciles. Findings: Semaglutide prescribing in the GP surgeries studied peaked in 2022 and declined thereafter, mirroring national trends. Prescribing of semaglutide mirrored the ethnic make-up of the region studied with a notable exception of White British. Mean HbA1c fell by 10.8 mmol/mol and weight by 4.8%. ADR incidence in the population studied (1.85%) exceeded national reporting rates (0.20%). Prescribing was highest in practices serving the most deprived communities. Conclusions: Semaglutide is effective in reducing HbA1c and weight in real-world settings. However, ADRs remain underreported. Socioeconomic deprivation was strongly associated with higher prescribing rates. Greater attention to equitable access and pharmacovigilance is warranted. Full article

Cities increasingly utilise digital technologies to tackle climate risks and urban shocks, yet their real impact on resilience remains uncertain. This paper systematically reviews 115 peer-reviewed studies (2012–2024) to explore how smart city technologies engage with planning instruments, governance arrangements, and social processes, following PRISMA 2020 and combining bibliometric co-occurrence mapping with a qualitative synthesis of full texts. Three themes organise the findings: (i) urban planning and design, (ii) smart technologies in resilience, and (iii) strategic planning and policy integration. Across these themes, Internet of Things (IoT) and geographic information system (GIS) applications have the strongest empirical support for enhancing absorptive and adaptive capacities through risk mapping, early warning systems, and infrastructure operations, while artificial intelligence, digital twins, and blockchain remain largely at pilot or conceptual stages. The review also highlights significant geographical and hazard biases: most cases come from high-income cities and concentrate on floods and earthquakes, while slow stresses (such as heat, housing insecurity, and inequality) and cities in the Global South are under-represented. Overall, the study promotes a “smart–resilience co-production” perspective, demonstrating that resilience improvements rely less on technology alone and more on how digital systems are integrated into governance and participatory practices. Full article

Communities that have been structurally and historically marginalized continue to face barriers rooted in practices of exclusion and segregation. These structural constraints often persist within the entrepreneurial sphere, limiting opportunities for Indigenous entrepreneurs to establish and consolidate their businesses. This study examines the sales gap between Indigenous entrepreneurs (IEs) and non-Indigenous entrepreneurs (NIEs) in Mexico. The analysis employs a dual methodological approach based on Oaxaca–Blinder (OB) mean decompositions and recentered influence function (RIF) regressions applied across income deciles. Findings reveal a persistent and significant sales disparity: on average, Indigenous entrepreneurs sell 42.5% less than their non-Indigenous counterparts. Approximately 18% of this difference is explained by observable characteristics such as education and experience, 20.8% by differences in returns to these characteristics, and 5.8% by interaction effects. By distinguishing between gaps driven by endowment differentials and those arising from differential returns, the study highlights the potential role of structural or discriminatory mechanisms underpinning Indigenous disadvantage in the Mexican entrepreneurial ecosystem. Full article

Guided by Sustainable Development Goal (SDG) 5 on achieving gender equality and empowering all women and girls, our study examines the age, period, and cohort effects of gender income inequality across China’s public and private sector employment by utilizing hierarchical age–period–cohort cross-classification random-effects models (HAPC-CCREMs) and repeated cross-sectional data from the Chinese General Social Survey from 2003 to 2021 (N = 29,367). The results demonstrate the following: (1) Age effects of gender income inequality diverge between public and private sector employment. In public sector employment, inequality undergoes a progressive decline over individuals’ career spans, as age is institutionalized as a sector-specific capital and compresses inequality through seniority-based accumulation. In private sector employment, inequality follows an inverted U-shaped trend as age is marketized as a proxy for labor productivity, producing steeper inequality in individuals’ early careers and sharp declines thereafter. (2) Period effects of gender income inequality manifest significant developing differences across public and private sector employment between 2003 and 2021. In public sector employment, the state redistributive mechanism maintains inequality at a consistently low and stable level. In private sector employment, inequality fluctuates with China’s post-transition economic restructuring, expanding during rapid market growth (2003–2008), contracting amid structural upgrading (2010–2013), and rising again under deeper market integration (2015–2021). (3) Cohort effects are negligible, reflecting that mechanisms sustaining gender income inequality exhibit intergenerational continuity. These results demonstrate that institutional segmentation structures gendered income dynamics throughout the life course via distinct resource allocation mechanisms. Our study extends life course approaches to social inequality, emphasizing the role of gender-equality-oriented governance, lifecycle-spanning support mechanisms, and cross-sectoral coordination in mitigating gender disparities. Full article

This study analyses the progress and persistent challenges in achieving Sustainable Development Goal 8—Decent Work and Economic Growth (SDG 8)—in the province of Alto Amazonas, Loreto, Peru, a territory characterized by structural informality exceeding 80%. A mixed-methods design was employed, integrating a survey of 500 economically active residents, semi-structured interviews with local authorities and business representatives, and a documentary review of official data from the National Institute of Statistics and Informatics (INEI) and the Ministry of Economy and Finance (MEF). Quantitative results reveal uneven economic growth driven mainly by low-value primary sectors, with 41.2% of workers lacking social protection and 51.4% reporting discriminatory practices. Although 70% expressed interest in entrepreneurship, only 37.8% achieved business formalization. Qualitative findings highlight a strong dependence on public investment, limited private-sector diversification, and an entrepreneurial ecosystem with high motivation but insufficient institutional support. The study concludes that structural constraints—informality, credit restrictions, territorial inequality, and weak institutional coordination—continue to hinder SDG 8 achievement. It recommends integrated policies that promote labor formalization, financial inclusion, productive diversification, and sustainable micro-enterprise development to align economic dynamism with social protection and territorial cohesion. Full article

The CHIARA Project investigates women’s mental health and vulnerability to sex trafficking in the U.S.–Mexico border states (California, Arizona, Texas, and New Mexico). A mixed-methods design was employed, combining qualitative content analysis of media, legal, and policy documents with quantitative analyses of secondary datasets from health institutions, the National Human Trafficking Hotline, the Polaris Project, and the U.S. Census Bureau. Data were cleaned, integrated, and examined through descriptive statistics, regression models, and correlation matrices using R Studio, complemented by visualizations to identify patterns and hotspots. Results show a strong association between higher crime rates, reported trafficking cases, and the prevalence of mental health disorders such as PTSD, depression, and anxiety among women. California and Texas consistently reported higher trafficking cases and mental health burdens, while regression analyses highlighted poverty, limited education, and gender inequality as significant predictors of vulnerability. These findings underscore the interplay between socioeconomic conditions and gender-specific exploitation at the border. By linking mental health and trafficking indicators, the study provides actionable insights for community leaders, policymakers, and healthcare providers, emphasizing the need for trauma-informed care, targeted prevention strategies, and policies that address both structural inequities and survivor rehabilitation. Full article

Cultural ecosystem services (CESs) play a critical role in urban residents’ well-being, yet conventional evaluations rely heavily on green-space area and overlook how facility quality and basic services influence the delivery of actual cultural benefits. To address this methodological gap, this study develops a three-tier evaluation framework—service potential, actual supply capacity, and actual service utility—to quantify multistage attenuation in CES provision across 95 parks in seven central districts of Shenyang, China. The framework integrates 114 quantitative and qualitative indicators from field surveys, national facility standards, and perception-based assessments, enabling a scientifically robust and replicable assessment of how cultural benefits are transformed from ecological structure to human experience. Results reveal that single-index, area-based assessments substantially overestimate CES supply: district-level supply–demand ratios drop from 66 to 195% to only 11–55% once quality and basic services are incorporated. Comprehensive and special parks retain the highest CES potential, whereas community and linear parks undergo significant losses due to aging facilities, insufficient maintenance, and inadequate infrastructure. Education and cultural services exhibit the most severe shortages, with deficits reaching 59–84%, underscoring structural limitations in learning-oriented spaces. By distinguishing structural (quantity), functional (quality), and experiential (basic service) constraints, the framework provides clear diagnostic guidance for targeted planning and management. Its multistage structure also reflects broader principles of sustainable urban development: improving CES requires not only expanding ecological elements but also enhancing service quality, strengthening infrastructure, and promoting equitable access to cultural benefits. The framework’s generalizability makes it applicable to high-density cities worldwide facing land scarcity and green-space inequality, supporting efforts aligned with SDG 11 to build inclusive, resilient, and culturally vibrant urban environments. Full article

The Paraguayan spatial planning system is analyzed through its legal framework, institutional structure, and implementation mechanisms, placing it within the Latin American context marked by fragmented governance and institutional inequality. Based on a review of laws and planning instruments at the national, departmental, and municipal levels, this study examines the system’s evolution, with particular focus on the period from the consolidation of the constitutional framework to the formulation of recent policies promoting sustainable development, decentralization, and democratic decision-making. The findings show a process of partial institutionalization, where norms and methodologies advance more rapidly than operational and financial capacities, resulting in uneven implementation across regions. Ongoing challenges include regulatory fragmentation, overlapping responsibilities, and weak multilevel coordination. Enhancing institutional coherence, prioritizing planning instruments, and strengthening subnational technical capacities are key to achieving a coherent and equitable spatial planning system that integrates international cooperation and translates sustainability and equity principles into practical dimensions of territorial governance. Full article

Analyzing the spatiotemporal evolution and drivers of multifunctional territorial spatial utilization efficiency (TSE) is essential for guiding the sustainable use of territorial space. This study develops an evaluation system integrating urban, agricultural, and ecological spatial utilization, and investigates the Yangtze River Delta (YRD) from 2000 to 2023 using kernel density estimation and the XGBoost–SHAP model. The main findings are as follows: (1) TSE in the YRD exhibits a sustained upward trajectory and a distinct east–west gradient. At the sub-dimensional scale, urban spatial utilization efficiency is clustered in southeastern core cities, agricultural spatial utilization efficiency is concentrated in the central transition zone, and ecological spatial utilization efficiency is highest in the northern areas. (2) The overall regional disparity in multifunctional TSE shows a fluctuating yet declining trend, indicating a gradual reduction in spatial inequality. The inter-provincial imbalance in development is identified as the primary cause of spatial differentiation in the YRD. (3) Topography, economic density, and population density are the leading determinants of TSE, while their interactions with socioeconomic variables generate nonlinear effects on efficiency improvement. These conclusions provide empirical support for spatial planning and efficiency-oriented territorial governance in the YRD. Full article

Economic connectedness has been recently found to lower income inequality by rising intergenerational mobility, yet its environmental impacts are less well known. More well-known is the fact that the non-carbon footprint is easier to reach via regulations because its production is domestic. These two problems of income inequality and environmental pollution have echoed in public opinion polls as one of the major current problems in developed countries. We thereby look at the United States on the state level during the last two decades (2010–2020) with a Hausman–Taylor estimator for panel data. The choice of the estimator stems from its appropriateness for panel datasets with constant variables. We find that in the United States, economic connectedness between friends, whereby friendships were formed within the same group, may be blamed for the rising environmental (non-carbon) footprint. The non-carbon footprint is, therefore, explained by the bonding of social capital, which may restrict innovation. We document the case where social capital in the form of economic connectedness may be harmful to the public good, such as the environment, our main contribution. The negative effect of bonding social capital on environmental outcomes due to rigid social networks and particular network technology use is a novel addition to the prior research. The policy implications are discussed in more detail, and a call is made to distinguish social capital types and promote bridging social capital where bonding social capital is relatively strong. Full article

Urban parks are essential components of sustainable cities, providing vital health, social, and environmental benefits. Using weekly smartphone-based visitation data for 182 parks in Las Vegas from 2019 to 2022, this study quantifies how the COVID-19 pandemic altered park use and identifies the socio-economic, environmental, and infrastructural determinants of these changes. Park visitation in Las Vegas showed a marked early pandemic decline followed by uneven recovery, with socially vulnerable neighborhoods lagging behind. Ordinary Least Squares (OLS) and Random Forest (RF) models were used to capture both linear and nonlinear relationships. The RF model explained 81% of the variance in standardized visitation (R² = 0.81, RMSE = 0.0415), substantially outperforming the OLS benchmark (R² = 0.24, RMSE = 0.0656). Domain-specific RF models show that socio-economic variables alone achieve an R² of 0.88, compared with about 0.70 for housing, environmental/health, and lighting variables, while demographic variables explain only 0.39, indicating that social vulnerability is the dominant driver of visitation inequalities. Phase-specific analyses further reveal that RF performance increases from R² = 0.84 before the pandemic to R² = 0.87 after it, as park visitation becomes more strongly coupled with socio-economic and health-related burdens. After COVID-19, poverty, uninsured rates, and asthma prevalence emerge as the most influential predictors, while the relative importance of demographic composition and environmental exposure diminishes. These findings demonstrate that pandemic-era inequalities in park visitation are driven primarily by reinforced socio-economic and health vulnerabilities, underscoring the need for targeted, equity-oriented green-infrastructure interventions in disadvantaged neighborhoods. Full article

While artisanal gold mining (AGM) has been credited as a sector that sustains many households in Zimbabwe, it has at the same time been criticized as the chief driver of ecological degradation and social vulnerability. This study qualitatively examines the environmental and socioeconomic impacts of AGM by conducting in-depth interviews with miners, residents, and policymakers across six central mining districts. The study findings indicate that the use of mercury has resulted in severe contamination of water bodies, while clearing land to pave the way for mining has led to severe deforestation, loss of biodiversity, and declining agricultural productivity due to the loss of fertile soils. It was also found that most AGMs were unregulated, and their unregulated operations have intensified health risks, social inequality, and land-use conflicts with the local community. This study provides an insight into how dependence on AGM has perpetuated a cycle of ecological degradation and poverty among many Zimbabweans. The study, therefore, attempts to combine community narratives with policy analysis, thereby proposing a framework for sustainable AGM in Zimbabwe. This involves advocating for the use of environmentally friendly technologies and promoting participatory environmental governance among all key stakeholders. The study contributes to achieving a balance between economic benefits and environmental management by advancing the discourse on sustainable development and community resilience in resource-dependent economies. Full article

This study explores the effect of Energy Inequality (EINQ) on environmental sustainability within the frameworks of the Environmental Kuznets Curve (EKC) and the Load Capacity Curve (LCC), while accounting for technological progress (TECH), financial development (FD), and foreign direct investment (FDI). Using annual data for six Gulf Cooperation Council (GCC) countries from 2005 to 2024, the analysis applies the Method of Moments Quantile Regression (MMQR) to capture heterogeneous effects across the distribution of the Load Capacity Factor (LCF). The results show that energy inequality consistently reduces environmental sustainability, indicating that unequal access to efficient and clean energy services heightens ecological pressure. In contrast, technological innovation and financial development enhance sustainability by improving energy efficiency and supporting green investments. Economic growth exhibits an inverted U-shape, validating the EKC and LCC hypotheses. These findings are especially important for the GCC, where hydrocarbon dependence, uneven access to clean energy, and rapid structural change intensify the environmental consequences of inequality. The study underscores the need for policies that promote equitable energy access, innovation-led diversification, and sustainable financial mechanisms. Full article

Regional disparities pose persistent challenges for balanced and sustainable development in Türkiye, where provinces exhibit prominently heterogeneous socioeconomic structures, capacities, and investment needs. This study proposes an integrated, data-driven framework for allocating public investments across provinces by jointly addressing development efficiency and spatial equity. A dataset of 109 indicators for 81 provinces was compiled and standardized, and Principal Component Analysis, followed by multiple clustering algorithms (K-Means, Gaussian Mixture Model, Fuzzy C-Means), was used to derive robust provincial development profiles. National policy priorities were quantified through a document-based assessment of the 12th Development Plan (2024–2028), enabling the construction of nine strategic investment categories aligned with national objectives. These components were incorporated into a multi-objective optimization model formulated using the ε-constraint method, where total utility is maximized subject to an adjustable equity constraint based on a Gini-like parameter. Results reveal a clear efficiency–equity trade-off: low inequality tolerance yields uniform but low-return allocations, whereas relaxed equity constraints amplify concentration in high-capacity metropolitan provinces. Intermediate equity levels (G = 0.3–0.5) generate the most balanced outcomes, supporting both development potential and spatial cohesion. The proposed framework offers a transparent, reproducible decision support tool for more equitable and strategy-aligned public investment planning in Türkiye. Full article

Rapid economic development in the past four decades in China has brought about significant consequences for people’s livelihoods. Healthy social mobility is fundamental for equality of opportunity, economic vitality, and socioeconomic sustainability. This paper examines the intragenerational livelihood mobility of urban residents in recent decades based on a case study in Guangzhou City and Foshan City, Guangdong Province, Southeast China. Longitudinal livelihood trajectory surveys have been investigated to gain research data. The primary determinants of livelihood mobility were also elucidated through analysis of muti-logistic regression. The results show that five livelihood trajectories are summarized based on their vertical movements in social status. The results further indicate that class polarization exists in urban residents’ mobility. 48.2% of respondents have experienced upward mobility, and 33.6% of them have even stepped over social classes. Meanwhile, the livelihoods of the others remained unchanged or suffered downward mobility. Respondents with male gender, better educational attainments, positive personality, and lower hierarchies of first occupations are associated with a higher probability of upward mobility. These results suggest that wealth redistribution among different social groups should be implemented to promote the benefits of economic growth being shared more broadly, and ultimately to boost socioeconomic sustainability. Full article

Gender mainstreaming in social work education requires moving beyond policy commitments to ensure that gender perspectives are meaningfully integrated into teaching and learning. This study examines how gender-responsive pedagogy is implemented in a Spanish public university and how these practices relate to students’ self-efficacy for gender-sensitive social work. A sample of 166 undergraduate students completed validated measures of gender-responsive teaching, self-efficacy, and institutional climate. The instruments demonstrated strong psychometric performance. Results indicate that while gender-related content is incorporated into curricula, practice-oriented and participatory pedagogies are less consistently used. Students reported high confidence in gender knowledge and attitudes but lower confidence in applied skills. Teaching methods, rather than content coverage, showed the strongest associations with self-efficacy. Institutional reforms at the degree and course levels were positively linked to teaching practices and student outcomes, whereas governance-level changes showed weaker associations. These findings highlight the importance of aligning institutional commitments with pedagogical innovation to advance gender equality in social work education. Full article

Sociodemographic and socioeconomic factors are key digital divide determinants. This study used a three-level framework to analyze differences in digital access, capability, and outcomes between male and female, urban and rural, and high-family-SES and low-family-SES university students. Interviews further explored student perspectives on these disparities. The study found significant digital divides among these groups. Male students were more proactive with computers and had better computer skills and learning abilities than female students. Urban students had superior digital infrastructure, resources, skills, and competitiveness compared to their rural peers. High-SES students enjoyed greater digital access, family support, skills, and learning outcomes than their low-SES counterparts. This research contributes an updated digital divide framework and proposes practical suggestions to minimize digital inequality in higher education. Full article

This review explores the intersection of gender, geography, and sustainability by examining the role of women in the blue economy across Europe’s Outermost Regions (ORs). Despite growing recognition of the blue economy’s role in sustainable development, there is limited understanding of how women participate in these sectors at the geographic periphery of the European Union. Using publicly available data from Eurostat, INSEE, ISTAC, and other national portals, we analyze employment patterns through a gender lens, supported by qualitative insights from case studies in regions such as the Azores, Réunion, and Guadeloupe. Due to the scarcity of disaggregated blue economy data, general labor force participation is used as a proxy, highlighting both opportunities and visibility gaps. Theoretically grounded in feminist political ecology and intersectionality, the review identifies key barriers, including data invisibility, occupational segregation, and structural inequalities, as well as resilience enablers such as women-led enterprises and policy interventions. We conclude with targeted recommendations for research, policy, and practice to support inclusive blue economies in ORs, emphasizing the need for better data systems and gender-sensitive coastal development strategies. Full article

Violence against women remains one of the most persistent social problems in Türkiye, often reinforced by patriarchal interpretations of religion and cultural traditions. This study investigates the role of religious institutions and values-based education in preventing such violence by analyzing national curricula, mosque sermons, policy documents, and reports of the Presidency of Religious Affairs. Using a qualitative design based on document analysis and literature review, it examines how religious education reflects or omits gender-related themes and how institutional practices shape public awareness. The findings reveal that while formal and non-formal types of religious education promote moral values such as compassion, justice, and respect, they rarely address gender-based violence explicitly. Religious discourse tends to emphasize general moral development rather than specific strategies for preventing violence against women. The study concludes that integrating gender-sensitive content into religious curricula, promoting authentic Qur’anic teachings on equality and mercy, and providing professional training for religious personnel are essential to transforming societal attitudes. Strengthening cooperation between educational institutions, religious authorities, and policymakers will ensure that religion functions as a constructive moral resource rather than a tool for legitimizing inequality. Full article

In the context of new-type urbanization and high-quality development, this study aims to construct a multi-objective synergistic land-use mechanism to tackle the “growth-equity-ecology” trilemma in the Chengdu–Chongqing Urban Agglomeration (CCUA). By building an economic–social–ecological benefit evaluation index system and applying TOPSIS with entropy weighting, the coupling coordination degree (CCD) model, and the spatial Durbin model (SDM), we systematically explore the spatiotemporal patterns of land-use benefit synergies and their driving mechanisms. The results reveal the following: (1) From 2015 to 2023, CCUA’s land-use CCD generally improved but showed marked core–periphery polarization. Chongqing’s economic agglomeration worsened regional gaps, while Sichuan’s intra-regional policies boosted internal balance; cross-jurisdictional collaboration eased border disparities but failed to stop overall polarization. (2) Spatial clustering identified hotspots in Chongqing’s main urban and suburban areas and cold spots in eastern Sichuan, reflecting the coexistence of factor agglomeration and cross-border policy synergy. (3) Road network expansion directly hindered CCD, and neighboring ecological protection triggered resource-competition spillovers, emphasizing the key role of cross-regional governance in balancing the “ecology-development” trade-off. This study puts forward spatially differentiated strategies and cross-jurisdictional coordination mechanisms to optimize land-use structures and advance sustainable development in urban agglomerations. Full article

Background: Infectious diseases accounted for approximately 18.4% of global mortality in 2019. According to the World Health Organization (WHO), vaccines are available for about 30 potentially lethal diseases. Vaccination prevents substantial mortality and hospitalization. However, its ability to improve overall public health depends on equitable access across all populations, regardless of race, ethnicity, education, or socioeconomic status. Objectives: This study aims to examine how disparities in social determinants of health (SDOH) affect COVID-19 vaccination uptake across Jefferson County, Kentucky. Using ZIP code–level spatial mapping, this study investigates the intersection of SDOH, racial composition, and geographic characteristics to identify inequities and inform equitable interventions. Methods: Data from the Kentucky Immunization Registry (KYIR) were analyzed to assess two-dose COVID-19 vaccination rates at the ZIP code and regional levels in Jefferson County, Kentucky. Vaccination rates were stratified by race and ethnicity and linked with SDOH, including education, employment, insurance status, and income, obtained from the 2021 American Community Survey. Results: By May 2021, vaccination rates ranged from 25.9% in the West region to 57.0% in the Inner East region; by May 2022, these rates increased to 46.2% and 73.9%, respectively. White residents consistently had the highest two-dose vaccination rates (66.4% by May 2022), while Black and Hispanic residents had lower rates (45.7% and 43.9%, respectively). Vaccination rates were strongly correlated with SDOH, especially educational attainment, average family income, and employment rate, underscoring the role of socioeconomic inequities in vaccination disparities. Conclusions: Geographical and racial disparities emphasize the influence of social and economic inequality on vaccine uptake. Full article

Comprehending the spatial–temporal transformation of urban resilience (UR) is fundamental for promoting sustainable urban growth in the Chinese context. In this study, a multi-dimensional index framework is developed to cover economic, social, ecological, and infrastructural aspects of resilience, assessing urban resilience across 282 prefecture-level cities between 2005 and 2022. By integrating the Time-Varying Entropy Method (TEM) with the Two-Stage Nested Theil Index (TNTI), we quantify the intensity and origins of spatial disparities in UR. Furthermore, spatial econometric models are employed to examine β convergence across regional and temporal dimensions. Additionally, the research adopts an Optimal Parameter-based Geographical Detector (OPGD) approach to explore and quantify the major determinants affecting urban resilience. The results reveal that (1) UR has significantly improved nationwide, with higher levels concentrated in eastern and southern China; (2) intra-provincial disparities are the dominant source of spatial differences, and continue to expand; (3) UR shows robust β-convergence nationally and regionally, although σ-convergence is limited to specific periods; (4) savings deposits per capita, ratio of employees, per capita fiscal expenditure and market size are identified as the core factors driving UR. The findings offer new insights into urban spatial governance under multi-dimensional constraints and challenges and serve as empirical guidance for narrowing resilience gaps and promoting balanced regional development. Full article

Background: This study examined the trends in restorative dental practice among 12-year-old children treated at a nationwide public health maintenance organization in Israel between 2016 and 2022, focusing on the use of amalgam versus composite resin restorations in permanent premolars and molars. Methods: Data were extracted from electronic health records of the second-largest public health organization in Israel, identifying children who underwent restorative treatments during the study period. Restoration rates were compared overall and stratified by gender, socioeconomic status, and number of surfaces restored. Statistical analysis was conducted using SPSS version 27, employing Levene’s test for equality of variances and Welch’s one-way ANOVA. Results: The results showed a statistically significant decline in amalgam use (p < 0.05) alongside a marked increase in composite resin restorations (p < 0.05), consistent across genders and socioeconomic groups. Notably, composite resins were increasingly selected for complex, multi-surface restorations (p < 0.05). Conclusions: These findings highlight a substantial shift in paediatric restorative practice in Israel, reflecting growing preference for composite resins likely influenced by patient demands and national dental reforms that eliminated financial barriers. The observed trend underscores the importance of continued monitoring of material selection to guide evidence-based practice in pediatric dentistry. Full article

This study investigates how housing prices influence urban–rural income inequality (URG) in mainland China by explicitly incorporating spatial interdependence and nonlinear adjustment mechanisms, features often neglected in previous research. Using a balanced panel of 31 provinces from 2005 to 2023, we develop a dynamic spatial panel threshold model that jointly accounts for temporal persistence, spatial spillovers, and regime-dependent estimation. This framework enables a full decomposition of housing price effects into direct, indirect (spillover), and total impacts across distinct market regimes. The results reveal three major insights. First, URG in mainland China displays strong temporal persistence, suggesting that income disparities evolve gradually over time. Second, rising housing prices significantly widen the urban–rural income gap, both within provinces and through interprovincial transmission, underscoring the amplifying role of spatial spillovers. Third, threshold estimation identifies a critical housing price level of ln(HP) = 8.4843 (approximately 4838.21 RMB/m²), revealing that the inequality-enhancing effect of housing prices is stronger in low-price regions but diminishes as markets mature and affordability constraints intensify. These findings provide new empirical evidence that the housing market functions as a nonlinear and asymmetric driver of regional inequality in mainland China, with implications for housing policy and inclusive growth. Full article

Digitalization has reshaped economic systems worldwide, yet its distributional consequences remain uneven and raise new challenges for sustainable development. China, where digital infrastructure has expanded rapidly, provides a critical setting to examine these effects and their implications for sustainable and inclusive growth. Using a balanced panel of 285 prefecture-level cities from 2007 to 2023, this study constructs a text-based index of digital infrastructure from government work reports and applies two-way fixed effects, instrumental variables, nonlinear models, placebo tests, heterogeneity analysis, and spatial Durbin models. The results show that digital infrastructure significantly widens the urban–rural income gap, with the effect becoming increasingly convex as digital development deepens. Two mechanisms drive this pattern: the concentration of innovation resources in urban areas, which crowds out rural R&D, and a modest degree of wage-structure polarization. Spatial spillovers also matter; digital development in neighboring cities partially offsets local inequality by enhancing interregional connectivity and knowledge diffusion. These findings provide city-level causal evidence on the unequal distributional impacts of digitalization in large emerging economies and highlight the need for sustainability-oriented digital governance, inclusive innovation systems, and regionally coordinated strategies to prevent digital infrastructure from reinforcing structural disparities. Strengthening these policies is essential for achieving more sustainable urban–rural integration in the digital era. 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

This paper investigates the impact of corporate ESG performance on internal pay gaps using data from Chinese A-share listed companies from 2013 to 2023. Our study finds that, after controlling for relevant variables and fixed effects for firms and years, corporate ESG performance significantly widens the internal pay gap. To address endogeneity concerns, we use policy shocks, construct instrumental variables with the number of ESG investment fund holdings, and apply propensity score matching methods, all of which support our main findings. Furthermore, the negative impact of ESG performance on internal pay equality is mainly driven by compensation incentives and corporate financialization. Heterogeneity analysis shows that the negative effect of ESG performance on internal pay gaps is less pronounced in state-owned enterprises (SOEs) and non-manufacturing firms. Additionally, charitable donations and strengthened agency mechanisms can effectively mitigate excessive internal pay gaps. This paper offers a novel theoretical perspective on corporate sustainable development and provides significant implications for internal pay policy formulation and governmental policies aimed at reducing income inequality. Full article

Bangladesh has significantly reduced child undernutrition, yet micronutrient deficiencies and diet-related non-communicable diseases remain pressing challenges. While the afordability of healthy diets is recognized as a key determinant of nutrition outcomes, limited attention has been paid to the uncertainties that affect diet costs and access over time. This paper addresses this gap by exploring the major drivers of uncertainty in the cost of healthy diets in Bangladesh and their implications for nutrition policy. This study emloyed foresight tools to explore future uncertainties affecting the cost and accessibility of healthy diets in Bangladesh. Key drivers of change, such as climate variability, market dynamics, income inequality, and dietary behavior, were identified through a structured expert workshop. Two critical uncertainties were selected using the 2 × 2 scenario planning method: food price volatility and changing dietary patterns. These formed the basis for four plausible future scenarios, each illustrating different trajectories for nutrition and food system outcomes. This foresight approach supports proactive, multisectoral policymaking by highlighting potential risks and opportunities for ensuring affordable, nutritious diets in a changing context. The resulting scenarios underscore the need for integrated, multisectoral strategies to build resilient food systems, improve the affordability of nutrient-rich foods, and promote dietary behavior change. Full article

In China’s rapidly urbanizing coastal areas, inclusive green development (IGD) has become an important way to achieve a reduction in economic development disparities, environmental sustainability, and social equity. This study investigates the spatiotemporal dynamics and structural drivers of IGD across 54 coastal cities within three marine economic zones (MEZs) using a hybrid analytical framework that integrates evaluation techniques, inequality decomposition, spatial factor detection, and spatial econometrics. The result shows that a distinctive “four-pillar” spatial structure has emerged, centered on the Shandong Peninsula, Yangtze River Delta (YRD), West Coast of the Taiwan Strait, and Pearl River Delta (PRD). Spatial autocorrelation has intensified since 2020, indicating the cumulative effect of China’s post-2020 regional integration policies and digital infrastructure investments, which accelerated resource flows between cities. Spatial econometric analysis further reveals that economic development and equitable public service provision are the most influential drivers, while public investment in R&D and digital transformation exhibit significant cross-city spillover effects. The findings highlight the importance of regionally adaptive and digitally integrated strategies to promote inclusive and sustainable urban development in coastal economies. Therefore, efforts should be intensified to strengthen the role of core cities as diffusion engines for neighboring areas, with a strategic focus on regional digital transformation and R&D investment, to advance inclusive and sustainable development in coastal economies. Full article

During China’s transition toward negative population growth, spatial differentiation in demographic change has become increasingly pronounced, revealing deep-seated disparities that challenge sustainable development efforts. This study examines patterns of population growth and decline in the Yangtze River Delta (YRD) from 2000 to 2024 at the provincial level and for 2010–2020 at the city and county levels. Using decennial population census data together with annual series from provincial and municipal statistical yearbooks, the analysis combines population growth rates with inequality indices and spatial autocorrelation measures to identify disparities and redistribution dynamics. The results show a marked deceleration of overall growth, with natural growth turning negative and mechanical growth becoming the dominant driver. They also reveal a pronounced core–periphery structure in which core metropolitan areas and urban districts continue to attract residents, while many ordinary counties and peripheral cities experience persistent shrinkage. Population inequality remains modest between provinces but widens within provinces, driven mainly by divergence between cities and counties. These findings are consistent with SDG 10 and SDG 11 on reducing spatial disparities and promoting inclusive, sustainable urbanization, underscoring the need to balance metropolitan concentration with policies that strengthen demographic resilience in shrinking regions. Full article

Achieving education for all and gender parity in education is central to Sustainable Development Goal 4. However, there are still an estimated 78 million primary-school-age children and 64 million lower-secondary-school-age children. Half of these out-of-school children live in sub-Saharan Africa. Disproportionately, girls are out of school, particularly rural and low-income girls. Building longitudinal policy data from 51 African countries and using data on school attendance from 35 African countries, we assess school attendance in the 27 countries that had made at least primary education compulsory and tuition-free. We find that once education becomes compulsory, it is possible to achieve gender parity in education. In 20 of the 27 countries studied with compulsory tuition-free education, primary-school-aged girls were as likely or slightly more likely than boys to be reported as attending school. Rural girls were more likely to be out of school than urban girls and girls from the poorest households were more likely to be out of school than girls from the richest households. Importantly, in countries where overall implementation was high, the gaps for girls across location and social class were small, indicating strong implementation is feasible in rural areas and in poorer neighborhoods. Full article

Public goods games under asymmetric endowments have been widely discussed in the literature; however, few studies have addressed how inequality influences normative beliefs and the subsequent burden-sharing behaviors. To address this gap, we conducted two online survey experiments in both hypothetical and real-income scenarios, focusing on the mediation effects of self-serving bias and other-regarding preferences. The findings showed that while unequal endowment status induced self-serving personal beliefs and burden-sharing behaviors, it also enhanced reciprocity and offset self-serving bias in a real-income scenario. Only high-endowment status significantly influenced beliefs and behaviors. This study reveals a trade-off between self-serving bias and reciprocity in social cooperation, offering new insights for fairness beliefs. Full article

Over recent decades, planners in the U.S. have increasingly adopted mixed-use projects to reduce automobile dependency and strengthen local community identity, although results remain inconsistent across cities. Urban health and fitness outcomes are shaped by complex interactions between the built environment, socioeconomic factors, and demographic characteristics. This study introduces a Health and Fitness Index (HFI) for 28,758 U.S. ZIP codes, derived from normalized measures of walkability, healthcare facility density, and carbon emissions, to assess spatial disparities in health-supportive environments. Using four modeling approaches—lasso regression, multiple linear regression, decision trees, and k-nearest neighbor classifiers—we evaluated the predictive importance of 15 urban and socioeconomic variables. Multiple linear regression produced the strongest generalization performance (R² = 0.60, RMSE = 0.04). Key positive predictors included occupied housing units, business density, land-use mix, household income, and racial diversity, while income inequality and population density were negatively associated with health outcomes. This study evaluates five statistical formulations (Metropolis Hybrid Models) that incorporate different combinations of walkability, land-use mix, environmental variables, and socioeconomic indicators to test whether relationships between urban form and socioeconomic conditions remain consistent under different variable combinations. In cross-sectional multivariate regression, although mixed-use development in high-density areas is strongly associated with healthcare facilities, these areas tend to serve younger and more racially diverse populations. Decision tree feature importance rankings and clustering profiles highlight structural inequalities across regions, suggesting that enhancing business diversity, land-use integration, and income equity could significantly improve health-supportive urban design. This research provides a data-driven framework for urban planners to identify underserved neighborhoods and develop targeted interventions that promote walkability, accessibility to health infrastructure, and sustainability. It contributes to the growing literature on urban health analytics, integrating machine learning, spatial clustering, and multidimensional urban indicators to advance equitable and resilient city planning. Full article

South Africa, like many other emerging economies, has witnessed a growing awareness of climate change in recent years, driven by school-based initiatives, media coverage, and non-governmental campaigns. However, evidence indicates that this awareness does not consistently translate into green purchasing behaviour. Drawing on quantitative data collected from 384 respondents residing in urban and semi-urban areas of the Eastern Cape Province, this study examines the impact of consumer attention to green communication, green attitudes, and awareness of climate change on green purchasing behaviour after controlling for demographic variable effects (gender, age, education and income level). Primary data were obtained through a survey and statistically analysed using SMART-PLS 4 software. The results of the structural equation modelling reveal that consumer attention and green attitude significantly influence green purchasing behaviour, consistent with the Theory of Planned Behaviour. In contrast, awareness of climate change exhibits a non-significant negative effect on green purchase behaviour, an outcome that diverges from existing empirical evidence, which generally reports positive associations between these variables in other emerging economies. This finding suggests that in contexts where poverty and income inequality persist, increasing awareness of climate change may paradoxically correspond with a reduction in green purchasing. The study recommends implementing strategies to enhance access to eco-friendly products and reduce their cost, thereby improving affordability in resource-constrained nations. Full article

Climate change (CC) and air pollution are closely interlinked environmental challenges that significantly affect human health and quality of life, especially in urban and industrialized regions. This study conducted a comprehensive investigation on how future climate scenarios may affect air quality and related human impacts, using a Southern European country (Portugal) for illustration. The study employed the most up-to-date future climate projections (Shared Socioeconomic Pathways—SSP) that were dynamically downscaled for Portugal. High-resolution simulations were carried out using the Weather Research & Forecasting (WRF) model, providing data for relevant meteorological variables that most affect air quality, for three future climate scenarios: fossil-fueled development (SSP5-8.5), regional inequality (SSP3-7.0), and a middle-of-the-road future (SSP2-4.5). Current and future air quality was simulated with the CHIMERE chemical transport model driven by WRF downscaled data and future emissions from the SSP v2.0 database. Results show that CC will impact nitrogen oxides (NO₂), ozone (O₃), and particulate matter (PM) concentrations over Portugal, with only agricultural emissions increasing in all scenarios. PM and NO₂ will decrease in urban areas, over the short and long term, mainly for more conservative scenarios (SSP2-4.5 and SSP3-7.0), while O₃ will increase over mainland Portugal (except for coastal/urban areas). Regarding human health, premature deaths are expected to be highest in urban areas, with reductions projected for NO₂ and PM_2.5 under SSP2-4.5 and increases in O₃-related mortality under SSP5-8.5. Overall, SSP2-4.5 presents the most sustainable outcomes, highlighting the importance of integrating air quality management and health impact assessments into climate adaptation strategies to promote long-term environmental sustainability in southern Europe, consistent with the United Nations Sustainable Development Goals (SDGs). Full article

Walkability is a multidimensional construct shaped by the built environment, social context, and perceived safety. Yet, most empirical studies treat walkability as spatially independent, overlooking the spatial and contextual factors that influence its relationship with neighborhood crime. This study investigates how crime affects walkability across Detroit, Michigan. Using data from 2021–2023, we developed a cross-sectional dataset of 624 census block groups. Comparing ordinary least squares (OLS), spatial lag (SLM), and spatial error (SEM) specifications, the SLM consistently provided the best fit, indicating strong spatial spillover in neighborhood walkability. Results show that higher local crime densities are positively associated with walkability, likely reflecting denser, mixed-use areas with greater pedestrian activity and exposure. Built-environment characteristics, particularly intersection density, land-use diversity, and population density, emerged as the most robust predictors of walkability, while socio-demographic factors showed weaker effects. Moderation analyses further reveal that the positive crime and walkability association diminishes in neighborhoods with higher proportions of Black residents, suggesting that structural inequities and historical segregation shape the realized benefits of walkable environments. These findings underscore the importance of accounting for spatial dependence and neighborhood context when assessing the complex interplay between safety, equity, and urban form. Full article

This study empirically examines the determinants of sustainable education finance by analyzing how income level, income inequality, fertility rate, and population density influence education expenditure as a share of GDP. Using annual data for 38 OECD countries from 1997 to 2021, the analysis applies fixed-effects and moment quantile regression (MMQR) models to capture both average and distributional dynamics. The results reveal a nonlinear inverted-U-shaped relationship between income and education spending, suggesting that fiscal commitment to education rises at early stages of development but tends to decline once income surpasses a certain threshold. Fertility rates show a significant negative association with education expenditure, while population density exhibits a positive effect. Moreover, the MMQR results highlight heterogeneity across countries, indicating that income growth has a stronger effect in economies with lower initial spending. These findings underscore the need for flexible, inclusive fiscal and institutional frameworks that adapt to national income levels and demographic transitions to ensure the long-term sustainability of education finance. Full article