Sustainable Development Goal 1: No Poverty (3892)

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

Anti-Poverty Programmes (APPs) are closely linked to rural livelihoods, yet comparative evidence on how participants and non-participants differ in livelihood-capital composition and income-generation patterns remains limited in ecologically fragile pastoral regions. This study draws on a cross-sectional household survey conducted in Northern Tibet in July 2020, covering 696 households—including 225 APP participants and 471 non-participants. Using the Sustainable Livelihoods Framework and the entropy weight method, we construct multidimensional livelihood-capital indices (human, social, natural, physical, and financial capital) and compare the two groups. We further apply Ordinary Least Squares (OLS) regressions to examine factors associated with per capita net income. The results reveal substantial heterogeneity in livelihood capital and income across both groups. APP participants exhibit higher human-capital scores, largely driven by a higher share of skills training, whereas they show disadvantages in physical and financial capital relative to non-participants. Natural capital shows no statistically significant difference between the two groups under the local grassland contracting regime. Significant differences are observed and identified in certain dimensions of social capital. Regression results suggest that income is positively associated with skills training, contracted grassland endowment, and fixed assets, with skills training showing the strongest association. For participants, herd size and labour capacity are not statistically significant correlates of income; for non-participants, larger herds and greater labour capacity are associated with lower income. Taken together, the findings indicate that APP participation is associated with stronger capability-related capital (notably training) alongside persistent constraints in productive assets and financial capacity. Policy implications include improving the relevance and quality of training, strengthening cooperative governance and market linkages, and designing complementary packages that connect skills, inclusive finance, and productive asset accumulation. Given the cross-sectional design and administratively targeted certification of programme participation, the results should be interpreted as context-specific associations rather than strict causal effects. Full article

Background: Attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) are prevalent neurodevelopmental conditions in childhood. Beyond biological factors, social and environmental conditions influence developmental experiences and pathways to diagnosis. Nationally representative studies examining multiple social determinants in relation to ADHD, ASD, and comorbidity across recent years remain limited. Methods: We analyzed pooled cross-sectional data from six cycles (2018–2023) of the U.S. National Survey of Children’s Health, including 205,480 children aged 3–17 years. Parent-reported, clinician-diagnosed current ADHD and ASD were the primary outcomes; comorbid ADHD and ASD were examined secondarily. Social determinants included household income relative to the federal poverty level, parental education, health insurance type, food insecurity, and caregiver-reported neighborhood safety. Survey-weighted prevalence estimates and logistic regression models accounted for the complex sampling design and adjusted for demographic, family, regional, and temporal factors. Results: The weighted prevalence of ADHD was 9.7% and ASD was 2.9%; 1.1% of children had comorbid ADHD and ASD. Lower household income, food insecurity, unsafe neighborhood conditions, and lower parental education were associated with higher adjusted odds of both conditions. Boys had substantially higher odds of ADHD and ASD. After adjustment, non-Hispanic Black and Hispanic children had lower odds of ASD than non-Hispanic White children, consistent with differential identification rather than lower underlying prevalence. Comorbidity was concentrated among socially disadvantaged children. Conclusions: ADHD and ASD are socially patterned across U.S. children. Integrating developmental screening with assessment of social risks may support more equitable identification and intervention. Full article

Recent policy reports and state briefs continue to highlight the trend of out-migration from California. This outflow has been pronounced over the last three years, revealing a substantial net loss (i.e., net migration) of approximately 740,000 residents. However, there has been comparatively less emphasis on new residents moving to California. Over the past decade, California has attracted substantial in-migration from both domestic and international sources with annual inflows often exceeding 300,000 individuals. As such, studying in-migration is noteworthy as it shapes economic, political, and social landscapes. In-migration can alter the demographic profiles of regions, thereby impacting community dynamics, cultural diversity, and the provision of social services. Using pooled data from the American Community Survey (ACS) from 2021 to 2023 and employing a two-way fixed effects regression framework, I study how temporal changes in racial and ethnic composition, age structure, educational attainment, and economic indicators influence in-migration rates per 1000 residents at the public use microdata level (PUMA). The analysis reveals that higher proportions of Asian and Hispanic populations, as well as an increased share of college-educated residents, are positively associated with in-migration. Notably, higher supplemental poverty rates are also associated with greater in-migration, a counterintuitive finding that may reflect mobility toward affordable housing markets. These findings emphasize the importance of recognizing demographic and intra-regional variability, which can aid policymakers and planners in assessing and delivering public services. Full article

Many tropical islands and coastal communities suffer from high energy costs, unreliable electrical supplies, poverty, and underemployment, which are all exacerbated by climate change. Multi-use Ocean Thermal Energy Conversion (OTEC) systems could align with the goals and values of these underserved and remote communities. Developing multi-use OTEC systems could help meet the United Nations’ Sustainable Development Goals #7 (Affordable and Clean Energy) and #13 (Climate Action). Multiple uses of OTEC water and power are explored in this study, including seawater air conditioning, desalination, support for aquaculture in tropical regions, and other uses. A use case for an onshore OTEC plant at the location of the existing OTEC plant in Kona, Hawaii, is examined to determine if sufficient thermal resources exist for OTEC power generation year-round, and to determine the potential for each value-added use. Potential environmental effects are evaluated using a new open-source numerical model for determining the risk from the discharge of large volumes of cold deep seawater in the ocean. Companies currently using the cold deep seawater pumped ashore at the Kona location were surveyed to determine their dependence on and interest in expanded OTEC and cold-water availability at the site. The analysis indicates that multi-use OTEC is feasible, with seawater air conditioning (SWAC), aquaculture, and desalination being the most compatible immediate additions, while future potential exists for adding extraction of critical minerals from seawater and e-fuel generation. Full article

Assessments of poverty among agricultural households in Sub-Saharan Africa often rely on either monetary or multidimensional indicators considered separately, overlooking key structural constraints. This study investigates the determinants of both monetary and multidimensional poverty among agricultural households in Togo. Using nationally representative EHCVM 2021/22 data from 2893 households, monetary poverty is measured using the Foster–Greer–Thorbecke Index, while multidimensional poverty is assessed with the Alkire–Foster method. A survey-weighted logit model is employed to identify the drivers associated with each poverty dimension. Results show that multidimensional poverty (59.40%) is more widespread than monetary poverty (51.50%). Education substantially reduces poverty risk, whereas larger household size, limited market access, and residence in the Savannah region increase it. Economic and natural shocks are negatively associated with monetary and absolute poverty, while cooperative membership raises the likelihood of being poor. Investment in livestock (TLU) reduces monetary poverty but increases multidimensional deprivation. These findings highlight that poverty among agricultural households in Togo is shaped by interconnected socioeconomic and institutional constraints rather than income deprivation alone. Therefore, integrated strategies aligned with the Sustainable Development Goals, particularly those promoting education, rural credit access, market integration, and resilience-building, are essential for achieving effective and context-specific poverty reduction. 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

This study aimed to assess various social–ecological traps of hilsa shad (Tenualosa ilisha) fisheries and to investigate the factors that significantly impact livelihood adaptation strategies during the ban period, based on fieldwork in coastal fishing communities. To collect empirical data, a total of 247 in-depth interviews were conducted using a semi-structured questionnaire along with six focus group discussions, oral history, and ten key informant interviews in the Chattogram and Patuakhali districts of Bangladesh. A conceptual framework derived from a strategy for reducing poverty, known as the Sustainable Livelihood Approach (SLA), is applied to determine the livelihood outcomes of hilsa fishers. The results showed that low income (<5000 BDT/month), high interest in loans from dadondar (lender) (10–12%) and aratdar (lessor of the vessel) (5%), high harvesting costs, an increasing number of hilsa fishermen, and intergenerational traps (81.78%) are creating social–ecological traps (SETs) in the hilsa fishery. The significant factors affecting the choice of adaptation strategies include family members, training facilities, home ownership, and belonging to a formal society. Apart from fighting against some extreme climate events, negative feedback comes from the absence of cold storage facilities, illegal use of fishing nets, frequent ban seasons, ignorance of conservation laws, limited opportunities for alternative occupations, and poor supply of drinking water. Hilsa fishermen in these regions depended on aratdar and dadondar for their financial support, which resulted in lower prices than the prevailing market prices. To escape from the SETs, this study identifies potential alternatives, such as government–community finance schemes, the promotion of alternative livelihoods, opportunities for technical education of their children, improvement of the local framework, and strong cooperation between local stakeholders and management authorities that are necessary to maintain the sustainability of hilsa fisheries. 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

Background: Climate change is increasingly altering the distribution and burden of infectious diseases in Sub-Saharan Africa, where ecological diversity, fragile health systems, and widespread poverty heighten vulnerability. The One Health approach, which integrates human, animal, and environmental health, provides a useful framework for addressing these climate-sensitive health challenges; its application in the region remains limited. Methods: This review was conducted in accordance with PRISMA-ScR guidelines and synthesized evidence from 30 peer-reviewed studies published between 2019 and 2025, identified through PubMed, Scopus, Web of Science, and the Cochrane Library. Results: Studies consistently showed that rising temperatures, altered rainfall patterns, and extreme weather events shifted malaria transmission into highland zones, modified schistosomiasis risk through changes in snail habitats, and drove diarrheal outbreaks following flooding. While One Health initiatives such as Ghana’s Climate-Smart One Health framework and university-led programmes in East Africa demonstrated promise, their impact remained constrained by donor dependence, institutional silos, and limited policy integration. Conclusions: To enhance climate resilience, national strategies need to integrate climate-informed surveillance, predictive modelling, and One Health governance. Future research should extend beyond malaria and schistosomiasis, incorporate longitudinal data, and establish standardized metrics for assessing One Health interventions. Full article

Neglected Tropical Diseases (NTDs) disproportionately affect the world’s most marginalised populations, yet programmes aiming to control and eliminate NTDs often fail to fully address the structural, social, and political dimensions of exclusion. This narrative review examines the concept of inclusion within NTD programming, with a particular focus on intersecting forms of marginalisation, including poverty, gender, disability, and displacement. Drawing on studies from 2010 to 2025, from various databases such as google scholar, PubMed and PLOS, this review synthesises evidence on barriers to equitable healthcare access, the role of community-driven approaches, and the integration of inclusive strategies within NTD programming and broader health systems. Key themes include the impact of structural inequalities such as racism and poverty, the need for gender-responsive services, the marginalisation of displaced communities, and the critical role of community empowerment through mechanisms like peer support and community drug distribution of NTD medicines. The review proposes a working definition of inclusion in NTDs as the intentional integration of underserved groups into all levels of programming, policy, and service delivery. It highlights the urgency of reframing NTDs not just as biomedical challenges but as deeply embedded social justice issues. By embedding inclusion into programme design, implementation, and evaluation, stakeholders can better align NTD responses with global equity goals and the Sustainable Development Goals. 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

Significant rural transformation has occurred in China’s formerly impoverished areas due to targeted poverty alleviation and rural revitalization strategies. In these areas, the coordinated development of the economic and ecological values of cultivated land resources is essential for rural transformation. This study focuses on the Liupan Mountain area, a typical poverty alleviation demonstration zone and Ecological and economic fragile area in Northwestern China. By collecting statistical yearbook data and raster data, it establishes a valuation system for cultivated land resources, transforming these resources into quantifiable poverty alleviation capital. This approach provides support for the long–term consolidation of targeted poverty alleviation policies. By integrating the Production Possibility Frontier (PPF) method with GIS spatial analysis, we developed a workflow to analyze value correlations and spatial patterns. The results showed the following: (1) While ecological values grew steadily from 2007 to 2022, economic value increased initially and then decreased, with both exhibiting significant spatial heterogeneity. (2) The relationship between economic value and ecological value evolved into a continuously strengthening synergy. (3) The integration of PPF curves with GIS visualization technology enabled the identification of underutilized, overutilized, and optimally utilized areas, revealing a distinct “π–shaped” overutilization zone. This study elucidates the trade–offs, synergies, and spatial characteristics of cultivated land values, providing critical insights for sustainable land resource management in post–poverty transformation areas. Full article

This study examines the factors behind significant improvements in elementary student reading scores within South Carolina’s Camp iRock summer program. South Carolina presents a unique context of high childhood poverty, yet proficient literacy rates. To conduct a quantitative descriptive analysis of student improvement on the Measures of Academic Progress (MAP) Reading test, this study employed a mixed methods approach as well as a qualitative content analysis of the South Carolina’s reading plan program components. A trend analysis reveals a substantial increase in student improvement from 54 (n = 189) in 2022 to 183 (n = 319) in 2023. The study explores the role of university–community partnerships, professional development, data-driven decision-making, and personalized small group instruction. This growth suggests the impact of the identified factors, emphasizing the importance of collaborative models and data-informed strategies in enhancing literacy outcomes. Full article

Background: Childhood immunization is one of the most effective public health strategies for reducing morbidity and mortality from vaccine-preventable diseases. Although overall vaccination coverage in the United States remains high, disparities persist across socioeconomic and healthcare access groups. Understanding these disparities is particularly important in the post-COVID-19 era, when increased vaccine hesitancy may threaten progress in maintaining equitable coverage. Materials and Methods: We analyzed data from the National Immunization Survey–Child (NIS-Child), focusing on U.S. children aged 19–35 months in 2023, corresponding to cohorts reaching this age during or after the COVID-19 pandemic. The primary outcome was receipt of the up-to-date combined 7-vaccine series (4:3:1:3:3:1:3: ≥4 doses of DTaP, ≥3 doses of polio, ≥1 dose of measles-containing vaccine, full Hib series, ≥3 doses of hepatitis B, ≥1 dose of varicella, and ≥3 doses of PCV). Logistic regression models were used to estimate associations between vaccination coverage and key explanatory variables: household income-to-poverty ratio, maternal education, health insurance type, and provider facility type, controlling for demographic and regional covariates. Disparities were quantified using concentration indices (CIs). Results: Among children in the analytic sample, overall coverage for the 7-vaccine series was only 78.5%. Nonetheless, disparities were evident. Children from households with lower income-to-poverty ratios (<1 × FPL: OR = 0.44, 95% CI = 0.37–0.53; 100–200%: OR = 0.66, 95% CI = 0.56–0.79), those covered by Medicaid (OR = 0.54, 95% CI = 0.45–0.64), other insurance (OR = 0.48, 95% CI = 0.37–0.61), or uninsured (OR = 0.27, 95% CI = 0.18–0.42), and those whose mothers had lower educational attainment (<12 years: OR = 0.35, 95% CI = 0.28–0.44) had significantly lower odds of being up-to-date. Similar associations were observed across specific vaccines. Unadjusted CIs for income-to-poverty ratio (0.04, p < 0.01), maternal education (0.04, p < 0.01), health insurance (0.03, p < 0.01), and provider type (0.03, p < 0.01) decreased but remained statistically significant after adjustment (0.02, 0.02, 0.01, and 0.02, respectively; all p < 0.01). No significant disparities were found by census region or race/ethnicity. Discussion: Despite relatively high overall vaccination coverage among U.S. children born during and after the COVID-19 pandemic, disparities by socioeconomic and healthcare access factors persisted. However, the absolute magnitude of these disparities was very small (concentration indices ≤ 0.04). These findings suggest that while inequities remain statistically measurable, their scale is limited in absolute terms. Targeted efforts to address income, insurance, maternal education, and provider-related barriers will be important to sustain equitable immunization coverage in the post-pandemic era. Full article

Micronutrient deficiencies, also known as “hidden hunger,” remain a pervasive public health issue in low- and middle-income countries, particularly among vulnerable populations within these countries. The main drivers of these deficiencies are poverty, limited dietary diversity, weak nutritional strategies, poor health service delivery and general health access barriers. This review assesses the prevalence, drivers, and consequences of selected micronutrient deficiencies: iron, iodine, zinc, vitamin A and vitamin D, within the scope of undernutrition, food insecurity, and socioeconomic inequity. The consequences associated with these deficiencies include stunted growth, increased susceptibility to illness, poor cognitive and social functioning, and deepened poverty. The primary strategies to address these deficiencies include dietary diversification, supplement provision, biofortification, and the production of fortified foods. Barriers to progress include the high cost of food, weak healthcare infrastructure, low educational levels, and ineffective policy implementation. Integrated food systems, personalised nutrition, and innovative food technologies have the potential to address both nutritional and health inequities. Addressing barriers to safe and nutritious food and healthcare systems in order to address health inequities requires integrated, multisectoral planning and contextual policy. Improving individual health outcomes is crucial, but addressing micronutrient deficiencies has a ripple effect throughout society, enabling economic development through poverty reduction and increased productivity. 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

South Africa’s land reform program is a cornerstone of efforts to redress historical injustices, guided by the 1997 White Paper on Land Reform Policy and structured around restitution, redistribution, and tenure reform. Three decades into implementation, this study systematically reviews the policy performance from 1994 to 2024, focusing on these pillars and related governance measures. Despite repeated policy revisions and extensive public debate, significant gaps persist between objectives, such as equitable access, tenure security, and poverty reduction—and actual outcomes. Using PRISMA guidelines, 94 peer-reviewed articles were selected from Scopus (1994–2024) alongside key policy documents and official reports. Evidence shows that land reform has consistently fallen short of its targets. Restitution claims remain largely cash-based, undermining tenure security, while redistribution has transferred less than 14% of agricultural land, far below the 30% target. Beneficiaries under the Proactive Land Acquisition Strategy (PLAS) often hold insecure lease agreements, and most households in former homelands lack title deeds, perpetuating vulnerability. The weak institutional capacity, poor coordination, and inadequate post-settlement support further constrain progress. The review concludes that the most fundamental policy priority is establishing a unified national framework that guarantees secure land tenure through the issuance of title deeds, complemented by integrated post-settlement support and transparent beneficiary selection. Strengthening tenure security is essential for enabling investment, improving livelihoods, and achieving equitable and sustainable land reform. Full article

Antibiotics play a crucial role in the treatment of many complicated problems in clinical medicine, but antimicrobial resistance (AMR) has emerged as a serious concern threatening to undermine its effectiveness. Precision medicine (PM) which tailors treatment to individual and genetic and lifestyle factors, may offer a novel approach to combat AMR. Yet, little is known about how healthcare providers in Pakistan understand and integrate the concept of precision medicine within their knowledge, attitudes, and practices (KAP) towards AMR. This study aims to investigate the knowledge, attitude, and practices of healthcare professionals towards AMR and to explore their perception about precision medicine as a strategy to reduce AMR. A mixed method approach was employed for the study. The knowledge, attitude, and practices (KAP) of healthcare professionals (N = 326) were assessed through a validated questionnaire. SPSS version 26 (Statistical Package for the Social Sciences) was employed for descriptive and bivariate analyses to determine KAP score and its association with demographics. Qualitative data were gathered through a focus group discussion and thematic analysis was performed to explore the perception about PM. Results showed that healthcare professionals demonstrate poor knowledge (55.5%), relatively positive attitudes (54.6%), and that nearly half had unfavorable practices (48.3%). Significant associations (p < 0.05) were found between KAP scores and factors such as location, healthcare setting, educational level, professional designation, and prior infectious disease training. During focus group discussion (FGD), HCPs emphasized the cautious use of PM, particularly in the management of resistant infections. However, limitations in resources, poor governance, poverty, and access to data and testing facilities were highlighted as barriers in the implementation of PM into practice. This study highlights critical gaps in knowledge and practices towards AMR among HCPs. While PM is viewed as a potential tool against AMR, systemic support, resource allocation, and targeted awareness programs are essential to integrate PM into clinical practice. 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

The United Kingdom’s (UK) retrofit revolution is at a crossroads and the efficacy of retrofit interventions is not solely a function of insulation thickness. To truly slash emissions and lift households out of fuel poverty, we must solve the persistent problem of thermal bridging (TB), i.e., the hidden flaws that cause heat to escape, dampness to form, and well-intentioned retrofits to fail. This review moves beyond basic principles to spotlight the emerging tools and transformative strategies to make a difference. We explore the role of advanced modelling techniques, including finite element analysis (FEA), in pinpointing thermal and moisture-related risks, and how emerging materials like vacuum-insulated panels (VIPs) offer high-performance solutions in tight spaces. Crucially, we demonstrate how an integrated fabric-first approach, guided by standards like PAS 2035, is essential to manage moisture, ensure durability, and deliver the comfortable, low-energy homes the UK desperately needs. Therefore, achieving net-zero targets is critically dependent on the systematic upgrade of the building envelope, with the mitigation of TB representing a fundamental prerequisite. The EnerPHit approach applies a rigorous fabric-first methodology to eliminate TB and significantly reduce the building’s overall heat demand. This reduction enables the use of a compact heating system that can be efficiently powered by renewable energy sources, such as solar photovoltaic (PV). Moreover, this review employs a systematic literature synthesis to critically evaluate the integration of TB mitigation within the PAS 2035 framework, identifying key technical interdependencies and research gaps in whole-house retrofit methodology. This article provides a comprehensive review of established FEA modelling methodologies, rather than presenting results from original simulations. Full article

Perceived time poverty is a major stress factor in university life, reflecting a lack of attentional resources. While nature-based interventions (NBIs) are recognized for restoring psychological resources, the psychological processes behind these interventions are not fully understood. This three-wave longitudinal study (N = 36) used linear mixed-effects models to examine the impact of a three-day camping trip on students’ psychological outcomes before, immediately after, and one month later. Findings show that the trip immediately and significantly boosted state nature connectedness and prosocial behavior intentions, while reducing perceived time poverty and psychological distress. Unexpectedly, it also led to a temporary decrease in both hedonic and eudaimonic well-being. By one month, most benefits had returned to baseline levels. Significantly, perceived time poverty fully mediated the link between nature connectedness and most outcomes. These results suggest camping helps restore attention, but short-term NBIs can only exert a temporary effect. The study enhances scarcity and attention restoration theories by testing specific psychological pathways and targets, offering valuable insights for creating nature-based programs that reduce stress and improve experiences, especially for university wellness initiatives. Full article

Period poverty refers to the lack of access to or affordability of menstrual hygiene supplies such as sanitary products and the inaccessibility of washing facilities, waste disposal and educational materials. Period poverty can significantly affect menstruating individuals’ physical, mental, and reproductive health and emotional wellbeing; negatively impact educational outcomes; cause financial strain; result in absenteeism from work and school; create barriers to healthcare access; and perpetuate poor health outcomes for generations. Barriers to menstrual equity include lack of access to period support, cost, poor sanitary facilities, lack of education, social and cultural stigma, and legal restrictions. Therefore, it is crucial to actively advocate for initiatives to increase access to menstrual hygiene products, raise public awareness, and educate individuals on safe menstrual practices. Approximately 500 million girls and women worldwide and an estimated 16.9 million people in the United States experience period poverty, with the issue being particularly common among marginalized groups such as Black or Hispanic menstruating individuals and those who are homeless, living in poverty, of low income, or attending college. This article investigates the physical, psychological, educational and social impacts of inequitable access to menstrual products, menstrual education, and sanitation facilities among menstruating individuals who are Black, Hispanic or of low income within the United States. We examine the threat this poses to health equity and propose recommendations to address this pervasive issue. Full article

The agricultural economic policy in Mexico has inadequately addressed the integrated sustainability needs of the rural sector. This study adopts a sustainability perspective to examine economic policy distortions and market failures in the export-oriented rose cultivation sector, and evaluates their effects on the economic and social sustainability of producers in Tenancingo and Villa Guerrero, Mexico. A Policy Analysis Matrix (PAM) and CONEVAL poverty line metrics were used to evaluate private and social profitability as indicators of financial viability and resource use efficiency. Findings indicate that, despite being supported by distortionary policies, the rose export sector remains competitive and financially viable, constituting a key pillar of economic sustainability. Moreover, the social profitability of rose production exceeded its private profitability, suggesting a net positive socioeconomic benefit and a sustainable allocation of resources from a societal perspective. Furthermore, per capita income in the rose production unit (RPU) exceeded the poverty line established by CONEVAL, directly supporting social sustainability and strengthening livelihood resilience. The study concludes that current resource allocation mechanisms are inefficient for sustainability over the long term. It emphasizes the need for policy shifts toward greater innovation, more effective technology transfer, improved market access, and stronger human capital to strengthen the sustainability of the sector as a whole. Rose cultivation exhibited a significant positive multiplier effect on the regional economy, reinforcing its contribution to sustainable rural development. Full article

Ecosystems provide essential services to local communities, which in turn offer incentives for the preservation of natural resources, as these resources are crucial to the sustainability and evolution of human societies. So, this study examined the demand for ecosystem services among communities surrounding the Luki Biosphere Reserve in the Democratic Republic of Congo. Data were collected through semi-structured interviews with 361 randomly selected individuals and focus group discussions in 18 villages, complemented by field observations on local resource use (agriculture, charcoal production, wood harvesting, and tree felling). The services provided by the reserve were identified according to citation frequency, perceived usefulness, and level of agreement among respondents. Results indicate that agricultural products (28.5%), charcoal (19.1%), non-timber forest products (17.5%), and firewood (10%) are the most requested. The Chi-square test showed significant associations between dependence on ecosystem services and socio-economic variables such as gender (p = 0.014 < 0.05), education level (p = 0.033 < 0.05), and annual income (p = 0.000 < 0.05), while age was not significant (p = 0.504 > 0.05). Poverty and rapid demographic growth were identified as key drivers of demand and factors contributing to growing pressure on natural resources. The study emphasizes feedback loops between changes in ecosystem service supply and community responses, as well as trade-offs between services and actors. It recommends integrating ecosystem values into agricultural and forestry policies, while raising awareness and educating local communities to promote sustainable resource management. Full article

Zoonotic diseases represent an important interface between socio-environmental change and public health, yet integrative assessments linking ecological and social determinants remain limited in tropical regions. This study mapped how socio-environmental drivers have shaped research patterns on zoonotic diseases in Brazil. We integrated socio-environmental data from empirical evidence with statistical modeling to evaluate temporal trends, thematic associations, and geographic distribution across six major zoonoses: leishmaniasis, Chagas disease, leptospirosis, yellow fever, Brazilian spotted fever, and hantavirus infection. Research output increased after 2010, particularly for leishmaniasis, Chagas disease, and leptospirosis, reflecting growing recognition of land-use change and socioeconomic vulnerability as key drivers of disease risk. Network analyses revealed strong thematic connections between zoonoses and land-use or socioeconomic factors, whereas climate change remained underrepresented. Spatially, research efforts were concentrated in the Amazon and Cerrado biomes, underscoring both ecological significance and persistent regional disparities in knowledge production. These findings demonstrate that Brazil’s zoonotic research landscape mirrors broader socio-environmental pressures, where deforestation, poverty, and climatic variability jointly influence disease dynamics. Strengthening geographically inclusive and environmentally informed research frameworks that integrate climate, land-use, and surveillance data will be essential to improve early-warning systems and guide sustainable, cross-sectoral public health policies. Full article

Regenerative agroecology promotes a suite of methods that diversify farmers’ techniques, crops, and income-generating opportunities. Many low- and middle-income countries struggle with food insecurity, malnutrition, and poverty, relying on natural resources for their livelihoods. In Madagascar, we led agroecology interventions, sharing locally grounded technologies to increase productivity and regenerate biodiversity. We evaluated the short- and medium-term outcomes using a mixed-methods social science approach. We monitored a cohort of over 500 participants in 27 rural communities who trained in market vegetable farming and poultry husbandry between 2019 and 2025. For participants in market vegetable and poultry husbandry interventions, over half adopted new technologies, reporting positive experiences, though outcome achievement varied. Participants in the market vegetable interventions reported they had the knowledge and skills to practice sustainable agriculture, remarking that the hands-on demonstrations and practice facilitated learning, as well as the accessibility of resources for implementation. Women were 1.68× more likely to adopt vegetable farming than men (multinomial regressions, gender log odds = 0.53, p < 0.01), while there was no difference in genders in adoption of poultry husbandry (gender log odds = 0.28, p > 0.05). Most (95–98%, n = 1012) responded they were satisfied with the results of the interventions and would continue to use the skills they learned. Insights generated by this program evaluation led to the following recommendations and improvements: (1) more hands-on demonstrations compared to classroom presentations; (2) more frequent medium-term consultations with participants; (3) introducing microcredit mechanisms to combat cost-related barriers; (4) diversifying outreach approaches. Implementing these recommendations continues to improve outcomes as we scale our interventions. Full article

Background: Energy poverty has emerged as a major societal challenge in Europe. Objectives: This study provides evidence on how different dimensions of energy poverty affect specific health outcomes, informing both theoretical understanding and intervention development to address this critical public health issue. Methods: We conducted a cross-sectional analysis using baseline data from the Valencia pilot of the WELLBASED project, examining associations between energy poverty dimensions and health outcomes among 322 vulnerable participants in Valencia, Spain (69.6% women, mean age 48.8 years). Data were collected through validated instruments, including EQ-5D-5L, DASS-21, and SF-12, alongside standardised energy poverty indicators developed by the Energy Poverty Advisory Hub (EPAH). Results: Energy poverty prevalence was notably high, with 69.9% of participants unable to maintain adequate warmth during winter and 72.4% experiencing cooling difficulties during summer. Statistical analyses revealed significant associations between energy poverty indicators and health outcomes. For example, mental health impacts were particularly pronounced, with thermal inadequacy associated with depression, anxiety, and stress (effect sizes eta2 = 0.042–0.126). Physical health showed condition-specific patterns: respiratory conditions linked to heating inadequacy, cardio-vascular conditions to cooling inadequacy, and musculoskeletal conditions to utility bill arrears. Participants with arrears on energy bills reported significantly higher chronic disease burden compared to those without arrears (3.08 vs. 2.40, p = 0.010). Conclusions: These findings suggest that addressing energy poverty is essential for health equity strategies. Urban contexts with Mediterranean climate patterns present unique challenges, re-quiring year-round interventions that address both winter heating and summer cooling, moving beyond the traditional cold-weather focus. Full article

The precise identification of energy poor households is a critical step towards achieving the United Nations Sustainable Development Goals (SDGs), particularly SDG 7 (Affordable and Clean Energy) and SDG 1 (No Poverty), while also intersecting with climate action (SDG 13). As the world’s largest developing country, China faces unique energy poverty challenges characterized by significant regional disparities and uneven access to modern energy services. To support targeted interventions and equitable policy-making, this study proposes an explainable artificial intelligence (XAI) framework for predicting and interpreting energy poverty. Utilizing nationally representative data from the China Family Panel Studies (CFPS) from 2014 to 2020, we developed a predictive model that integrates a Convolutional Neural Network with SHapley Additive exPlanations (SHAP). Our model, EPPE-FCS, demonstrated exceptional predictive performance, achieving an average accuracy of 98.23%, outperforming several mainstream benchmarks. Crucially, the SHAP interpretability analysis revealed that annual per capita household expenditure is the most influential driver, while the contribution of energy burden indicators (electricity and gas expenses) exhibited a significant decreasing trend. This trend likely reflects the positive impact of China’s national policies, such as the “Clean Heating Initiative” and “Targeted Poverty Alleviation,” on improving energy infrastructure and affordability. The findings underscore the necessity of a dual-track policy that combines immediate energy cost subsidies with long-term strategies for income enhancement and clean energy transition. This research provides policymakers with a robust tool to alleviate energy poverty, thereby advancing a just, sustainable, and climate-resilient energy future in China and other developing regions. 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

The main objective of this article is to conduct a literature review on the use of open innovation (OI) for green transition to identify tools and methods that can make green transition more effective, efficient, and socially acceptable. This review is accompanied by an attempt to answer the following research questions: R1. How can open innovation be used in the economy and by individual entities to achieve the goals of the green transition? R2. How can individual stakeholders be activated and motivated to participate in the process of creating open innovation for the green transition? and R3. What are the real effects of using open innovation on a macroeconomic, social, and individual scale? The results allow concluding that OI is used by enterprises, cities, regions, and entire economies. Among the methods of activating and motivating individual stakeholders to engage in the process of creating OI for green transition, the following can be selected: (1) internal resources and competencies (knowledge management, internal programs, open leadership, trust, complementarity of resources); (2) partnership characteristics (modern business models, involvement of partnership intermediaries, strengthening relationships with suppliers and customers, involvement of prosumers, cooperation with universities and research institutions); (3) external legal and regulatory conditions (protection of intellectual property rights, pro-innovation and pro-environmental education systems, creation of a legal framework for cooperation between science and business); and (4) external technical and organizational solutions (online platforms, social media, Living Labs, external sources of knowledge). The most frequently mentioned individual effects of open innovation in the energy sector include: improved efficiency, effectiveness and competitiveness in environmental management and the implementation of sustainable development, as well as the use of modern technologies. At the economic level, OI supports investment and economic growth. It can also have a positive impact on reducing energy poverty and developing renewable energy sources, including in emerging economies. This form of innovation also promotes social integration and the creation of social values. The findings of this review can be utilized by scholars to identify current and future research directions. They may also prove valuable for practitioners as both an incentive to engage in open innovation and guidance for its design and implementation. Furthermore, the results can contribute to disseminating knowledge about open innovation and its role in the green transformation. Full article

Breast cancer (BC) mortality rates remain high in Low- and Middle-Income Countries (LMICs) due to limited awareness, poverty, and inadequate medical facilities that hinder early detection. Although deep learning models have achieved high accuracy in BC detection (BCD), they require substantial computational resources, making them unsuitable for deployment in remote or rural areas. This study proposes a lightweight convolutional neural network (CNN) using Knowledge Distillation (KD) for BCD, where a large Teacher Model (TM) transfers learned representations to a smaller Student Model (SM), which is better suited for deployment on low-power devices. We compare it with two prominent model compression techniques: pruning and quantization. Experimental results indicate that the TensorFlow Lite (TFLite)-optimized Student Model (SM_TFLite) achieved 97.67% accuracy, representing a 2.33% relative loss to its teacher, a result comparable to other compression techniques. Its mean accuracy is 73.97% with a 95% Confidence Interval of [65.04%, 82.90%] in a cross-dataset experiment. However, SM_TFLite was the most compact (5.21 kB) and fastest (3.3 ms latency), outperforming both pruned (2924.31 kB, 13.68 ms) and quantized models (746–751 kB, 4–5 ms). Evaluation on a Raspberry Pi 4 Model B demonstrated that all models exhibited similar CPU and memory usage, with SM_TFLite causing only a minor increase in device temperature. These results demonstrate that KD combined with TFLite conversion offers the best trade-off between accuracy, compactness, and speed. Full article

Dalbergia odorifera, a cornerstone tree species for ecological restoration in karst regions, exhibits remarkable adaptability to karst rocky desertification (KRD) environments characterized by high heterogeneity and nutrient poverty. Yet, the mechanisms underlying its root system’s response to spatially variable KRD stress remain poorly elucidated. In this study, a split-root system was employed to simulate heterogeneous substrate conditions, including loam, uniform gravel (global stress), and partitioned loam/gravel (partial stress). We found that under partial stress, the root system underwent functional specialization, and roots in loam enhanced resource acquisition, whereas roots in gravel significantly elevated stress tolerance. This was supported by increased root:shoot ratio, improved nutrient conservation, and localized upregulation of key enzymes and metabolites. Multi-omics profiling further uncovered profound reprogramming of critical pathways such as phenylpropanoid biosynthesis, fatty acid metabolism, and glutathione metabolism, highlighting robust antioxidant defense and membrane stabilization mechanisms. Our findings demonstrate that D. odorifera optimizes resource use in heterogeneous karst habitats through spatial division of labor at the root system level, orchestrated by integrated morphological, physiological, and molecular adaptations. This study provides a novel perspective on plant adaptation to environmental heterogeneity and offers practical insights for cultivating stress-resilient trees and restoring degraded karst ecosystems. Full article

Poverty is a complex global issue, closely linked to economic and social inequalities. It encompasses not only a lack of financial resources but also disparities in access to education, healthcare, employment, and social participation. In alignment with the United Nations’ Sustainable Development Goals—specifically SDGs 3 (Good Health and Well-being), 4 (Quality Education), and 8 (Decent Work and Economic Growth)—this study investigates the relationship between poverty and a set of socioeconomic indicators across Italy’s 20 regions. To explore how poverty levels respond to different predictors, we apply an identity spline transformation to simulate controlled changes in the poverty indicator. The resulting scenarios are analyzed using partial least squares regression, enabling the identification of the most influential variables. The findings offer insights into regional disparities and contribute to evidence-based strategies aimed at reducing poverty and promoting inclusive, sustainable development. Full article

This study aims to analyze the effect of remittances on multidimensional poverty in Mexico by comparing them with other sources of household income, such as labor income and social spending from transfers, subsidies, and allocations. Furthermore, economic growth dynamism is incorporated as a control variable. A micro-panel with cross-sectional and temporal fixed effects covering the 32 federative entities from 2010 to 2024 is used for this purpose. The results reveal that, although remittances have a moderate alleviating effect on poverty, it is greater than the impact of social spending by state governments. In contrast, labor income is identified as the main factor in reducing multidimensional poverty. These findings underscore the importance of promoting the utilization of remittance flows through financial inclusion strategies to strengthen their contribution to sustained household well-being and consolidate them as a structural instrument against the persistent challenges of multidimensional poverty in Mexico. Full article

Implementing natural resource protection systems and improving regional water resource utilization efficiency are effective ways to resolve the contradiction between economic development and water resource poverty. To this end, this paper establishes a Difference-in-Difference (DID) model to analyze the impact of water rights trading pilot policies (WET) in 271 prefecture-level cities in China from 2006 to 2023 on water resource utilization efficiency (WEE). The research results indicate that (1) WET significantly improved WEE, while confirming the robustness of this effect; (2) WET exhibit significant heterogeneity in their policy effects on WEE, reflecting pronounced differences between northern and southern cities in terms of geographical location and water resource endowment. In cities with abundant water resources, this promotional effect is even more pronounced; (3) market vitality and water conservation benefits can positively promote the impact of WET through regulatory mechanisms. Based on this, expanding the pilot cities for water rights trading policies and enhancing market vitality can effectively improve WEE and alleviate the current situation of water resource poverty in the region. Full article

Background: Poverty, disability, and mental health may reinforce one another. Forced displacement can compound these challenges, yet comparable data on displaced and non-displaced groups in the same setting are scarce. This study examines associations among mental health, disability, pessimism, loneliness, self-esteem, and financial security for refugees and nearby host communities in Mozambique. Methods: Ultra-poor adults—refugees (n = 134) and Mozambican nationals living near the settlement (n = 314)—were identified using a World Bank poverty scorecard. Surveys captured depression (PHQ-9), anxiety (GAD-7), disability (Washington Group Short Set), and socioeconomic characteristics. Results: Symptom rates are high in both groups—depression: 34% (refugees) vs. 29% (hosts); anxiety: 25% overall—with women reporting higher levels. Disability prevalence is substantial (refugees 25%; hosts 22%). Respondents with disabilities show markedly higher rates of depression (≈2×) and anxiety (≈3×). Financial security is negatively associated with symptom scores: a one-unit-higher financial security index correlates with a 0.069 lower anxiety score (p < 0.05) and a 0.069 lower depression score (p < 0.01). Pessimism is positively associated with poorer mental health; anxiety and depression are more than 2.5× as prevalent among chronically pessimistic respondents. Loneliness shows no clear association with anxiety or depression in this sample, whereas low self-esteem is strongly associated with both; prevalence of GAD and depression is more than twice as high among those with low self-esteem. Conclusions: We document strong associations between poverty, disability, and mental health. These patterns underscore the importance of strengthening mental and public health services for both refugees and hosts, with particular attention to women and disabled individuals. 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

Enhancing farmers’ livelihood resilience is a cornerstone of sustainable rural development and poverty alleviation consolidation in developing countries. While tourism has emerged as a prominent rural revitalization strategy, the mediating role of tourism-induced land use transitions in building resilience—and the underlying spatial mechanisms through which these transformations operate—remains inadequately understood. This study integrates Henri Lefebvre’s spatial production theory with land systems analysis to examine how tourism-driven land use transitions influence farmers’ livelihood resilience in rural China. Using provincial panel data and three waves (2018, 2020, 2022) of nationally representative household survey data from the China Family Panel Studies (CFPS), we construct a comprehensive tourism development index emphasizing land transformation dimensions and employ panel regression models with instrumental variables and threshold analysis. The findings reveal that tourism-induced land use transitions significantly enhance farmers’ livelihood resilience through three distinct spatial mechanisms: land-based rural infrastructure investment, industrial land structure rationalization, and cultural facility land development. Importantly, this relationship exhibits a double-threshold effect with diminishing marginal returns, and the positive impact is substantially stronger in heritage-rich regions with comparative policy advantages. By establishing land use transitions as a critical spatial production pathway linking tourism to sustainable livelihood outcomes, this study advances land systems science, offering a novel theoretical framework for integrating people–nature interactions in heritage-rich rural areas and practical guidance for strategic land use planning in support of the Sustainable Development Goals (SDGs). Full article

In the fight against growing energy poverty in Europe, remote and rural areas are most affected but play a crucial role in promoting a fair and sustainable transition. Furthermore, energy communities have been recognized as cost-efficient options and opportunities to enhance the active participation of citizens in electricity markets. Despite the wide recognition of their potential in alleviating energy poverty, evidence is still limited. This paper investigates the ‘missing links’ in producing clean energy through community-based practices in remote areas. This study presents a literature review aimed at identifying case studies at the European level to build a knowledge base on the state of the art in the context of the Green Deal. Of the 4422 publications found, we identified and analyzed 266 publications with one or more European cases. Of these, only 67 publications used keywords relevant to our research objective, which we further explored and categorized according to the primary purpose of the study, i.e., assessment, barriers and gaps, implementation, management and planning, modeling, and public opinion. Our results show that publications serve mainly to test a methodology for potential use and not to recount an experience, lacking practical application and policy integration. Nevertheless, we noticed a tendency to activate citizen engagement forms or gather perceptions to increase social acceptability. Full article

Community-Based Tourism (CBT) in East Sumba highlights its unique natural features through its archipelagic potential, which is synergistically integrated with rich traditional cultural experiences. Island-based CBT faces strategic management challenges, especially in empowering human resources—notably women—amid the inherently vulnerable and fragile nature of island tourism assets. Women’s empowerment, a key element of pro-poor tourism, significantly influences poverty reduction and helps address the high rates of stunting in East Sumba. This research aims to examine women’s empowerment within archipelago-based CBT management frameworks that impact household economic independence. The study adopts a sustainable tourism approach that involves two systems—the human system and the ecosystem—broken down into four dimensions and 32 indicators to assess the sustainability potential of each. Data analysis uses scoring methods to produce BTS and ATSI diagrams. Findings indicate that CBT in East Sumba falls within the potentially sustainable quadrant on the BTS diagram, with coordinates (6.88, 6.49). The average scores are 7.0 for the human system and 6.44 for the ecosystem, supported by the AMOEBA diagram, which shows broad tendencies. The most critical and vulnerable sustainability indicators include ecosystem integrity—particularly access to clean water—and effective mitigation strategies. Conversely, the indicators with the highest robustness include active women’s participation in Family Empowerment and Welfare Organizations and tourism diversification, which is enhanced by East Sumba’s strategic location within Indonesia’s eastern tourism corridor. Stakeholders can leverage these findings by promoting women’s empowerment through integrated tourism package innovations, thereby creating more entrepreneurial opportunities and improving household economic conditions. This research contributes to understanding women’s empowerment through sustainable tourism methods, emphasizing its role as a foundation for pro-poor tourism within island-based CBT frameworks. Full article

This study examines the combined impact of fintech and financial inclusion on achieving the United Nations’ Sustainable Development Goals (SDGs). Previous research has emphasized the role of financial inclusion in reducing poverty, strengthening resilience, and promoting economic stability; however, its interaction with fintech in advancing sustainability remains less examined. Using four composite indices incorporating updated variables, expanded country coverage, and a broader temporal scope, this analysis evaluates digital financial channels, including formal access, mobile money, digital credit, transfers, and rural finance, across SDGs 3, 4, 8, and 9. The findings indicate that formal access is associated with lower maternal mortality (SDG 3) and contributes positively to decent work and economic growth (SDG 8), as well as industry, innovation, and infrastructure (SDG 9). Digital credit and transfers help ease liquidity constraints in high-inequality regions, while mobile money enhances education outcomes (SDG 4) under robust governance, supporting informal labor markets. Rural finance strengthens innovation and infrastructure development in underserved areas, reinforcing SDG 9. A simultaneous equation model provides evidence of bidirectional relationships among financial inclusion, fintech adoption, and sustainable development, underscoring their mutual reinforcement rather than strict causality. Overall, the study highlights the systemic interconnection between finance and sustainability and emphasizes the importance of governance, infrastructure, and regulation in maximizing developmental benefits. Full article

South Africa has relatively recently transitioned from a condition of legislated racial stratification to a democracy in which all South Africans now enjoy political enfranchisement. While political emancipation has been achieved, economic and social emancipation remain elusive for the majority of Black South Africans who still bear the brunt of poverty and deprivation. South Africa’s white colonial communities, having relinquished political power, continue to retain and enjoy economic and social class privileges. Despite state-driven social cohesion and nation-building initiatives, the envisaged ‘rainbow nation’ (a metaphor coined by the late Archbishop Desmond Tutu) is becoming an increasingly fragile social aspiration. Historical legacies, especially regarding white affirmation, wealth accumulation, and the imperative for economic redistribution and land reform, have become key flashpoints in contemporary South Africa. This paper addresses the issue of how South Africa’s corrective justice and affirmative action policies are re-racialised into narratives of reverse racism, white persecution, and white genocide. It examines how racial arbitrage works where whiteness is systematically re-racialised and traded for its value in a different country context. It examines how disillusioned white South Africans leverage white racial and class privilege for transnational mobility and protections, white settler-colonial receptivity and white nationhood. It draws attention to the tensions and contradictions in global asylum regimes, illuminating transnational networks of privilege and economic superpower coercion. Full article

Background/Objectives: Iran carries a significant burden of mental health disorders. This study aimed to describe the status of mental health and mental health care in Iran between 2012 and 2023, addressing inequalities and mapping existing challenges in the mental health care system. Methods: A systematic literature review was conducted. Databases including Medline, CINAHL, APA PsycINFO, Scopus, Web of Science, and the Cochrane Library, as well as local databases such as SID, Magiran, and Noormags, were searched to identify studies related to mental health care in Iran. A total of 59 studies met the inclusion criteria. An inductive approach and thematic analysis were used to synthesize themes from the data. Results: Lower socioeconomic status (SES) was associated with higher rates of mental disorders due to poverty-related stressors and limited access to quality care. Gender disparities revealed that women are more vulnerable to mental health problems, exacerbated by perceived gender inequality. Ethnic minorities and undocumented migrant populations faced inadequate healthcare services, resulting in poorer mental health outcomes. Children and older adults also experienced mental health challenges influenced by sociodemographic factors. The main challenge for mental health care is establishing mechanisms to ensure more equitable access for all citizens. Additional challenges include limited awareness among policymakers, insufficient budget allocation, weak prevention programs, and poor intra- and inter-sectoral coordination and collaboration. A shortage of mental health care providers, as well as deficiencies in structure, system processes, and resources, further hinder progress. Conclusions: Socioeconomic factors exacerbate the challenges of Iran’s under-resourced mental health system. To address these issues, equity considerations must be integrated into mental health policies. Key interventions include the routine monitoring of mental health indicators, expanding insurance coverage for mental health services, and establishing dedicated services for children. Full article

The conceptual foundation of this study is that a country’s exposure to risk when using green bonds as a mechanism for financing sustainable development is shaped by a combination of macroeconomic, market, and social factors. This paper develops and empirically validates a fuzzy-set model to assess national-level risks associated with green financing projects within the Water–Energy–Food (WEF) Nexus in BRICS countries. Building on established theoretical frameworks and empirical evidence, the study conceptualises risk as a function of economic development, the scale of the domestic green bond market, institutional trust, and performance on the Multidimensional Poverty Index (MPI). The study employs fuzzy-set modelling to integrate these heterogeneous indicators into a unified quantitative risk score. This approach enables cross-country comparison and captures the non-linear nature of relationships between socio-economic and institutional factors. The country sample includes Brazil, Russia, India, and China, which have successively chaired the BRICS association between 2021 and 2025, thereby ensuring methodological consistency and representativeness. The empirical results reveal a clear stratification of green-finance risk levels across the four economies: China demonstrates the lowest risk (Y = 0.243), followed by Russia with a below-average risk (Y ≈ 0.41), while India (Y = 0.53) and Brazil (Y = 0.51) exhibit the highest relative risks. These outcomes highlight the critical role of institutional trust and market maturity in reducing financing uncertainty within the WEF nexus. The study contributes to the literature by integrating macroeconomic, social, and institutional indicators into a unified fuzzy-logic model of green-finance risk; offering a transparent methodology for country-level comparison; and providing policy insights for improving the enabling environment for green bond markets in emerging economies. Full article

Social assistance is one of the primary programs organized in developing countries in a bid to reduce poverty. In Indonesia, the government has allocated IDR 152 trillion toward poverty alleviation. However, the persistent misuse of social assistance funds has unfolded to be a serious concern. According to the Ombudsman of Indonesia, approximately 81.37% of the 1004 complaints received between 29 April and 29 May 2020 were related to the misuse and misallocation of COVID-19 social assistance funds. Therefore, this study aims to comprehensively describe the legal enforcement model for preventing the misuse of social assistance funds and to identify the challenges faced by law enforcement from the perspective of legal sociology. In order to achieve the stated objectives, a qualitative approach grounded in legal sociology was adopted, utilizing empirical study methods. Data were collected through in-depth interviews with academics specializing in administrative law and public policy, as well as through an extensive review of the relevant literature. Subsequently, the gathered data were analyzed qualitatively using a descriptive approach. The obtained results showed that the key challenges in preventing the misuse of social assistance funds include weak regulatory frameworks, limited competency among law enforcement officials, and inadequate institutional infrastructure. Cultural factors were also found to play a significant role in influencing the effectiveness of law enforcement. Based on these insights, preventive measures were inferred to be essential and should focus specifically on strengthening the legal structure and utilizing technological tools to enhance transparency and monitoring. Accordingly, the substance of social assistance laws must be revised to include more detailed and specific provisions, while repressive measures should impose stricter sanctions on individuals who engage in misuse. Fostering a shift in the legal culture of society was also considered very important. These combined efforts are expected to reduce the misuse of social assistance funds, improve legal enforcement effectiveness, and essentially contribute to poverty reduction in Indonesia. Full article

As climate risk intensifies and ecowelfare is increasingly implicated in climate adaptation, we examine how FEMA’s Individuals and Households Program (IHP) allocates aid in the United States. We ask how and why IHP allocates aid, framing the analysis through a climate-justice lens that centers distributive and procedural equity. Using a county–year panel (2009–2022), we map funding hot/cold spots and estimate space–time models of per-recipient IHP funding, benchmarking against machine learning approaches. Results show that aid rises with a county’s own disaster frequency but falls when neighboring counties are simultaneously hit. Direct sociodemographic penalties are limited once space–time dependence is modeled, except for a persistent shortfall in counties with larger multiracial populations and a negative neighboring effect tied to Hispanic composition. Poverty and population size show positive neighboring effects, and counties in Democratic-governed states receive more aid, consistent with higher state capacity. Machine learning corroborates hazards’ primacy and highlights disaster-count thresholds and interactions. Implications for climate justice and adaptation include strengthening regional capacity, expanding language-access and navigator programs that help households apply for aid, and adopting local-national coordination standards to make ecowelfare more equitable and resilient. Full article

Background: Tuberculosis (TB) remains a leading cause of morbidity and mortality, with South Africa among the highest-burden countries. The Eastern Cape is particularly affected due to poverty, HIV co-infection, and weak health systems. Understanding treatment outcomes and their determinants is required to achieve the WHO End TB Strategy targets. The objective of this study was to examine treatment outcomes for tuberculosis (TB) in both rural and urban clinics within the Eastern Cape Province. We aimed to identify the socio-demographic, clinical, and geographic factors that influence treatment success or failure. We included simple geographic visualisations comparing treatment outcomes between the two participating clinics to inform the development of targeted interventions aimed at enhancing TB control efforts. Methods: A retrospective cohort study of 385 TB patients treated at two public clinics in the Eastern Cape (2020–2024) was conducted. Socio-demographic, clinical, and geographical data were extracted from records. Outcomes were classified using WHO and South African National TB Programme guidelines. Logistic regression identified predictors of success, and spatial analysis mapped treatment outcomes. Results: The mean patient age was 40.6 years; 69.1% were HIV-positive, and 89.9% had pulmonary TB. The overall treatment success rate was 63.8%, below the WHO target of ≥85%. Pulmonary TB was independently associated with greater odds of success (aOR = 2.86, 95% CI: 1.23–6.65), while older age predicted poorer outcomes (aOR = 0.98, 95% CI: 0.963–0.998). HIV status and socioeconomic variables were not independently associated after adjustment, although poverty and unemployment were widespread. Spatial mapping showed clustering of poor outcomes in specific clinics, highlighting geographic and health system disparities. Conclusions: TB treatment outcomes in the Eastern Cape remain unsatisfactory. Older patients and those with extrapulmonary TB face higher risks of unfavourable outcomes, underscoring the need for closer monitoring and adherence support. Integrated TB/HIV care, social protection, and geographically targeted interventions are essential to strengthen health systems and reduce inequalities. Full article

Against the backdrop of the rapid development of digital technologies, such as mobile internet, big data, and cloud computing, the geographical agglomeration of industries is gradually shifting toward virtual agglomeration. In this paper, we examine the effect of both geographical and virtual agglomeration of the agricultural industry on farmers’ agricultural income, and we focus on the transmission mechanism of technological innovation in this process. In the empirical section, using the citrus industry as an example, we employed a moderated mediation effect model for verification and derived the following conclusions: (1) Both geographical and virtual agglomeration of the agricultural industry promote an increase in farmers’ agricultural income by enhancing technological innovation, respectively. (2) Virtual agglomeration of the agricultural industry has a negative moderating effect on the relationship between geographical agglomeration and farmers’ agricultural income, that is, virtual agglomeration alleviates the “crowding effect” and to some extent substitutes for geographical agglomeration. (3) In the mechanism where geographical agglomeration in the agricultural industry increases farmers’ agricultural income through technological innovation, virtual agglomeration has a positive moderating effect. This paper is important for enabling farmers to share the benefits of the digital economy and achieve continuous growth in agricultural income. It is also important for the sustainable development goals adopted by the United Nations, such as eliminating poverty (SDG1), eliminating hunger (SDG2), promoting sustainable economic growth and full employment (SDG8), and promoting innovation (SDG9). Full article