Sustainable Development Goal 1: No Poverty (3418)

This article focuses on the impact of trauma experienced by individuals, families and groups, and neighborhoods in Rochester and Syracuse, New York. Using the levels of analysis put forward in Bronfenbrenner’s ecological systems theory (i.e., individual, family, and community), we argue that trauma operates at each of those levels. This mixed-methods study reviews the findings of seven previously published studies (with data collection ranging from 2000 to 2019), each of which addresses trauma among low-income residents. Specific methods include secondary analyses of births, qualitative interviews of persons who delivered a baby within the past two years, a community survey of residents living in high-crime areas, and secondary birth data to document the impact of socio-ecological risk factors on the trauma of birthing persons, their children, and their partners. Individuals and families living in high-risk neighborhoods (e.g., where residents experience frequent gun shots, racially disproportionate incarceration, and poverty) had more negative health outcomes including posttraumatic stress disorder, intrauterine growth restriction, and depression. Interventions focused on community-based practices that address individual, family, and community-level trauma must also address the multiple risk factors for trauma located in the environmental and social stressors. Full article

Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO₂e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO₂e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO₂e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article

In the context of sustainable agricultural development and rural revitalization in China, understanding and addressing psychological poverty traps among rural farm households is crucial. The poverty mindset represents a crucial factor affecting rural poverty. This study focuses on two key questions: first, whether and how material poverty influences the poverty mindset; and second, whether this psychological state affects economic behavior, potentially intensifying material poverty. Using data from the China Family Panel Studies (CFPS) spanning 2014–2018, the data collection employed a multi-stage stratified sampling approach. Multiple methods, including questionnaire surveys and in-depth interviews, were utilized to gather information. Through matching and merging processes based on personal questionnaire IDs, a total of 30,143 observations were obtained over a three-year period. We employ Causal Mediation Analysis (CMA) to examine the micro-level mechanisms between material and psychological poverty among rural farm households. Our findings reveal three key insights. First, material poverty significantly reduces aspiration levels and behavioral capabilities of rural farm households, with impoverished groups scoring approximately 10% lower than non-poor groups. Second, this negative impact operates through two primary channels: stigma effects (self-stigmatization 11.29%, social stigma 4.71%) and psychological resource depletion (negative emotions 1.5%, psychological stress 1.27%). Third, psychological poverty reinforces material poverty through aspiration failure (72.3%) and capability deficiency (75.68%), creating a self-perpetuating “psychological poverty trap” that particularly affects agricultural production efficiency. These findings suggest that sustainable agricultural development requires addressing both material and psychological dimensions of rural poverty. Policy recommendations include strengthening psychological support for farm households, enhancing agricultural capacity building, mitigating stigma effects in rural communities, and reconstructing psychological resources for sustainable development. This integrated approach can help break psychological poverty traps, improve agricultural productivity, and support rural revitalization in China. Full article

Neglected tropical diseases (NTDs) represent a group of chronic and debilitating infections that affect more than one billion people, predominantly in low-income communities with limited health infrastructure. This paper analyzes the factors that perpetuate the burden of NTDs, highlighting how poor health infrastructure, unfavorable socioeconomic conditions and lack of therapeutic resources exacerbate their impact. The effectiveness of current interventions, such as mass drug administration (MDA) programs and improved sanitation, in reducing disease prevalence is examined. In addition, the role of climate change, which alters transmission dynamics and expands affected territories, is discussed as an emerging challenge. The analysis suggests that integrated, multisectoral approaches, including health education and infrastructure interventions, are essential to breaking the cycle of poverty and disease. Although international programs have marked significant progress, achieving elimination targets by 2030 requires sustained commitment, innovation, and increased research capacity in endemic countries. Full article

AI/AN communities are disproportionately impacted by food insecurity and gestational diabetes mellitus (GDM). Decreasing the risk of GDM can interrupt the intergenerational cycle of diabetes in AI/AN families, and can decrease diabetes-related health disparities. The goal of this study was to explore ways of supporting holistic health and reducing the risk of GDM among young American Indian and Alaska Native (AI/AN) females prior to pregnancy. Semi-structured interviews were conducted with adult AI/AN women (>18 years) who had GDM or who have young female relatives (e.g., daughters) (n = 41), AI/AN females between 12 and 24 years (n = 18), and key experts in food/nutrition and health within AI/AN communities (n = 32). Three themes emerged: (1) guidance on how to support young females’ holistic wellness; (2) evidence that generations of colonial violence, including forced removal, forced poverty, and the imposition of a Western-based food system, causes deeper, systemic fracturing of traditional cultural food knowledge and practices; and the fact that (3) opportunities for improved adolescent female health are rooted in AI/AN values and how AI/AN people resist the impacts of anti-Indigenous racism through family-based, community-led, and holistic health. These themes suggest alternative understandings about the relationships between food insecurity and holistic pre-pregnancy health and can guide our next steps in decreasing health disparities in these communities. Full article

Energy poverty remains a significant issue in Bosnia and Herzegovina, characterized by limited access to affordable and sustainable energy sources. This paper examines the prevalence of energy poverty among 1500 retiree households and evaluates the potential of photovoltaic (PV) systems as a solution. The research highlights the multidimensional nature of energy poverty, incorporating variables such as income, energy expenditures, and heating methods. Using statistical methods, including factor analysis and regression models, the research developed an energy poverty index (EPI) to categorize households and identify key drivers of energy poverty. The findings reveal that 96.5% of households experience moderate to high energy poverty when transport costs are included, dropping to 84.3% when these costs are excluded. Households using wood for heating, with a combined rooftop area of 26,104 m², could generate 7,831,200 kWh of solar energy annually, reducing CO₂ emissions by 1,389,825 kg. The aggregated payback period for PV investments is approximately 9.3 years, demonstrating financial viability. The paper underscores the potential of energy communities in pooling resources, facilitating rooftop leasing for PV installations, and promoting policy reforms to promote renewable energy adoption. This research contributes to the understanding of energy poverty dynamics and provides actionable recommendations for integrating PV power plants, fostering energy equity, and reducing environmental impacts. Full article

The Sustainable Development Goals (SDGs) set forth by the United Nations aim to eradicate poverty, protect the environment, and promote global prosperity by 2030. Within this framework, Goal 11 targets explicitly sustainable cities and communities, emphasizing the need for accessible, safe, and sustainable transportation systems for all individuals, including those with disabilities. However, despite these aspirations, individuals with disabilities often face unique challenges and barriers in accessing transportation services. This study delves into the complexities of transportation accessibility for people with disabilities, aiming to understand their perceptions and expectations of service quality regarding reliability, tangibles, cleanliness, safety, comfort, personnel, and stops. In a comprehensive survey involving 302 individuals with disabilities, data were collected considering strata such as visual impairment, hearing impairment, chronic illness, and physical disability. In the study where cluster analysis was applied to examine the common and unique assessments of individuals with disabilities, both demographic characteristics and transportation habits were evaluated to determine the most effective inputs. The optimal results were obtained using disability level, car ownership, access to stops, and frequency of service use, while the inclusion of other sociodemographic variables (such as age and income) negatively affected the quality of the clustering process. By analyzing service quality independently for each cluster, the study unveils potential variations in how people with disabilities perceive and evaluate transportation services. The findings shed light on the distinct evaluation approaches employed by people with disabilities based on their characteristics, highlighting the need for tailored transportation planning and policy-making solutions. For example, in the overall assessment of individuals with disabilities, vehicle ergonomics was not highlighted as an area for improvement, but it emerged as the aspect with the least satisfaction among individuals with higher levels of disability. By addressing these nuances, policymakers and stakeholders can better understand and meet the diverse needs of people with disabilities, contributing to the creation of more inclusive and accessible transportation systems in line with the SDGs. Full article

The ongoing existence of health disparities in marginalized communities in India can be attributed to social health determinants such as poverty, caste, gender, and limited access to education and healthcare. Dr. B.R. Ambedkar, an iconic figure in Indian social reform and the driving force behind the Indian Constitution, acknowledged the significance of the social determinants of health influencing health outcomes. This paper explores Dr. Ambedkar’s vision of addressing health disparities, with a focus on his contributions to public health policy and the promotion of social justice. Additionally, it analyses the ongoing perpetuation of inequality through the examination of social determinants of health and explores how Ambedkar’s vision can provide guidance for present public health strategies. The analysis highlights the importance of strong primary healthcare systems, recognizing universal healthcare as an essential human right through the vision of Dr. Ambedkar. It also advocates for greater government funding and policy coordination to effectively tackle health disparities. Full article

Under-five child poverty and income inequality are complex socio-economic phenomena that significantly impact the well-being of children worldwide. While there is a growing body of literature addressing child poverty in South Africa, our understanding of settlement discrepancies and factors influencing multidimensional under-five child poverty and income in the country remains limited. This study assesses under-five-specific multidimensional poverty and the determinates of child poverty and inequality in the lowest geographical areas in South Africa. Alkire-Foster’s methodology was applied to construct and estimate the multidimensional poverty index for under-five children across settlement areas. The selected indicators were designed to reflect the unique deprivations and challenges faced by children in this age group. The results showed that there is a significant number of children who are deprived in indicators such as access to ECD (43%), hunger (20%), and education and employment at 69% and 65%, respectively. These are some key variables that require policy interventions to improve the development outcomes of children. The logistic regression results showed that 14 out of the 34 predictors were significant. Inequality was significant and positive at 1%. The findings suggest that more work still needs to be undertaken to improve the living conditions of children, especially in the former homelands, to achieve the goals set in the National Development Plan and Sustainable Development Goals. In the past, non-whites were assigned a homeland according to their ethnicity or a place where national or ethnic identity has formed. Full article

This study integrates the Sustainable Livelihoods Framework (SLF) and the Sustainability Assessment of Food and Agriculture Systems (SAFA) to evaluate the sustainability and livelihood dynamics of the Amazonian Chakra system, recently designated as a Globally Important Agricultural Heritage System (GIAHS) by the FAO. Using data from 330 producers across three associations (Kallari, Wiñak, and Tsatsayaku) in the Ecuadorian Amazon, the study employed discriminant analysis to assess governance, environmental integrity, economic resilience, social well-being, and livelihood capitals. Results revealed significant disparities across associations in key sustainability dimensions. Kallari and Wiñak demonstrated stronger governance, environmental integrity and economic resilience, linked to mature organizational structures and effective governance mechanisms. In contrast, Tsatsayaku excelled in demographic diversity and larger landholdings but lagged in governance and environmental practices. Extreme poverty affected 82% of households, with Tsatsayaku having the lowest rate (69%) compared to Wiñak (89%) and Kallari (87%). Chakra income contributed significantly to livelihoods, accounting for 44% of total income in Kallari, 37% in Wiñak, but only 16% in Tsatsayaku, whose producers relied more on off-farm activities and livestock. The integration of SLF and SAFA methodologies offered a nuanced understanding of sustainability, highlighting the importance of governance, financial strategies, and environmental conservation in promoting resilience. Policies should prioritize participatory governance, market transparency, and credit access to address disparities and strengthen sustainability. These findings underscore the critical role of the Amazonian Chakra as a sustainable agroforestry system, providing economic and cultural benefits, while emphasizing the need for tailored interventions to enhance the sustainability of Amazonian producer associations. Full article

Inequality, malnutrition, poverty, and environmental degradation are some of the global challenges facing humanity. These are aggravated in the context of climate change (CC), envisioning as a utopia to guarantee food security without risking sustainability. Considering the increase in scientific attention on dairy goat production (DGP), we aimed to carry out an exhaustive analysis regarding the evolution of DGP to determine both its socioeconomic and cultural importance during the period 1970–2022 and its possible scenarios for 2050. Over the last half century (1970–2022), dairy goats (DG; 214.01 million heads) have shown an inventory growth of 182%, and this is estimated to increase by 53.37% over the next 28 years (2023–2050). While DGP increased 196% during 1970–2022, it is projected to increase around 71.29% by 2050. Notably, however, the economic value of DGP almost quadrupled (+375%) during 1991–2022, and the same trend is estimated for 2023–2050. Historically, Asia has excelled in both goat inventory and goat milk production volume. This research highlights the crucial role of both goats and DG in the socioeconomic issues in various regions of the world, as they most often represent the only source of income for millions of smallholder families, particularly in developing countries. In the face of CC challenges, goats in general, and DG in particular, show an exceptional potential to be considered the “animal of the future” due to their refined and sophisticated ethological, adaptive, and physiological plasticity under generally clean, green, and ethical production schemes, mainly in marginal contexts in the arid and semi-arid zones of the world. Full article

The paper explores the concept of energy poverty (EP) by examining its definition, dimensions, determinants, and impacts on households. The study underscores the necessity of comprehending the multifaceted subjective and objective nature of energy poverty, as evidenced by the proposal of a comprehensive tool for measuring energy poverty from a broad perspective. The concept of energy poverty comprises seven principal dimensions, namely, political, economic, health, infrastructure, social, energy transfer, and climate and environmental. Each of these dimensions operates as both a cause and a consequence of energy poverty, thereby creating a cyclical relationship between the various determinants. A significant aspect of the study is the utilization of objective and subjective indicators. These include measures of the relationship between expenditure and income, the technical condition of buildings, thermal comfort, debt, and initiatives taken to prevent this phenomenon at the household level. The concept posits a novel attribute of EP, namely, “transitional state”, which signifies that energy poverty can concurrently serve as a catalyst and a consequence of adverse socio-economic phenomena in certain instances affecting the overall quality of life. The recommendations encompass using a holistic method that considers not only the analysis of the energy poverty index but also detailed and subjective indicators. The proposed tool will enable a more effective formulation of public policy at the European Union level, providing a unified direction to research this phenomenon at multiple precision levels. Full article

Agroforestry improves the stability and productivity of agro-ecosystems and reduces environmental pressures, making it extremely flexible and useful in a variety of physical and social contexts. This practice is crucial to farmers’ livelihoods on both an ecological and economical level. Using an interview schedule, data were gathered from 170 heads of rural families who were chosen at random. Of the responders, the majority (77.5%) were young (25 to 40 years old). Of those who had completed more than five years of schooling, only 46.7% were literate, while a sizable majority (53.3%) were illiterate. For the vast majority of responders (62.4%), farming was their primary source of income. Given that over 54% of the respondents only owned up to five acres of land, small farming was extremely common. The majority (61.3%) were considered poor with a monthly income of less than PKR 18,000. “good source of fuel wood” was placed at the top (mean = 3.1%) when it came to the effect of agroforestry on the food security of rural households. One of the main obstacles was having a small land holding (mean = 2.52). The majority of respondents believed that the primary benefit of agroforestry was a reduction in soil loss. The amount of land held, income source, and educational attainment all significantly correlated with the perception of poverty. The study found that the best way of sustainably assuring food security in the study area and satisfying rural residents’ needs for food for extended periods of time is to incorporate agroforestry into the current farming system. Full article

The Eastern Cape Province of South Africa is largely rural, with agriculture as the main livelihood for many households. However, the province has a semi-arid climate and reliance on rain-fed agriculture, which makes the region highly vulnerable to climate-related risks, particularly droughts. Smallholder farmers, who play a crucial role in food production and local economies, face significant challenges due to limited access to resources like irrigation, modern technology, and financial support, exacerbating their vulnerability to climate variability. These droughts cause severe losses in agricultural productivity, threatening food security, increasing poverty, and driving rural migration. Despite the potential benefits of adaptation strategies, many farmers lack the tools and knowledge to effectively cope with the increasing frequency and severity of droughts. This study examines how smallholder farmers in South Africa’s Eastern Cape Province perceive, experience, and cope with drought risk and its food and nutrition security implications. Using structured questionnaires, the authors collected data from 160 smallholder farmers and employed statistical analysis techniques, including a multinomial logit model. The study found that smallholder farmers understand drought risk but continue to face high vulnerability to adverse effects such as water scarcity, crop failure, increased disease incidence, and rising temperatures. Socioeconomic and institutional factors significantly influenced the adaptation strategies chosen by smallholder farmers. This study suggests that a combination of localized and modern adaptation approaches, supported by various institutional, policy, and technological interventions, is essential to enhance the resilience of these farmers. Specifically, localized strategies such as using traditional water management systems and crop diversification were effective in addressing region-specific climate challenges. At the same time, modern approaches like climate-resilient crop varieties and early-warning systems provided broader, more scalable solutions. Institutional support measures, such as access to climate information and extension services, policy interventions promoting sustainable practices, and technological advancements in irrigation and seed technologies, were key factors in improving adaptive capacity and reducing vulnerability. There is an urgent need to provide comprehensive support and empower farmers to adapt effectively, protect their livelihoods, and contribute to broader food security and poverty reduction efforts. This study highlights the importance of understanding and addressing the perceptions and experiences of smallholder farmers facing drought risk to ensure sustainable food production, income generation, and poverty alleviation. Full article

This article explores the concept of inclusive education in contexts of forced displacement, where refugeehood intersects with special educational needs and disabilities (SEND), as well as gender, poverty, and overlapping forms of discrimination. Drawing on extensive engagement with a refugee-led, non-formal educational organization in Lebanon, we revisit inclusion for refugee children with SEND through a bottom-up lens. We consider inclusion within Lebanon’s sociopolitical landscape, focusing on a community of educators, most of whom are refugees themselves. Grounded in decolonial feminist epistemologies and critical refugee studies, we highlight the role of educators as cultural actors who employ engaged pedagogies to humanize the educational experiences of refugee children with SEND. By challenging traditional top-down, outcome-oriented policies that focus solely on structural access, this paper advocates for an alternative framework based on refugee educators’ orientations to working with children with SEND. This framework prioritizes holistic, context-sensitive approaches to inclusion and underscores the importance of humanizing education for refugees. Full article

Gamification has been extensively employed in marketing practices to meet the diverse needs of consumers. Previous research suggests that gamification marketing plays a pivotal role in influencing customer purchase intention. However, the precise mechanism through which gamification marketing impacts purchase intention requires further investigation. Drawing on the self-determination theory (SDT), this study explores the relationship between gamification marketing and purchase intention, with customers’ perceived brand coolness as a mediating variable and time poverty as a moderating variable. Using data collected from 184 participants in the experiment, our research demonstrates that, in comparison to non-gamification marketing, gamification marketing significantly influences purchase intention. Furthermore, perceived brand coolness emerges as a mediating factor in this relationship, providing new insights into the gamification mechanism. Customers who are in low time poverty exert more perceived brand coolness and purchase intentions compared with high time poverty in the context of gamification marketing. This study expands the research of gamification by introducing perceived brand coolness to the relationship between gamification marketing and purchase intention. It also contributes to the study of time poverty under the context of gamification marketing. Full article

Although Moringa oleifera Lam. (Moringaceae) is a multipurpose tree with remarkable nutritional and therapeutic benefits, it is undervalued and neglected in Kenya, as the local people associate it with famine and poverty. The present study aims to assess and document the traditional knowledge on use and management as well as production constraints of the species among the Mijikenda community in Kilifi County, Kenya. We found that the plant is locally used as food and medicine for various ailments, including diabetes, high blood pressure, ulcers, stomach aches, and body pains. In addition, the plant is used for fencing and as a source of fuel. Watering and pruning were found to be the main management practices of the plant. Slightly more than half (51.3%) of the respondents reported pests as a constraint in growing the plant, while the bitter taste (60.5%) and small leaves (36.8%) were deterrents to its consumption and harvesting, respectively. More than half (55.3%) of the respondents had between one and five trees in their compounds, indicating a low preference for the plant compared to major crops. The plant species is undervalued compared to locally grown major crops, highlighting the need for concerted efforts to raise awareness of its potential benefits and address the production challenges. Full article

Background: Gastrointestinal (GI) distress is prevalent and often persistent among cancer survivors, impacting their quality of life, nutrition, daily function, and mortality. GI health screening is crucial for preventing and managing this distress. However, accurate classification methods for GI health remain unexplored. We aimed to develop machine learning (ML) models to classify GI health status (better vs. worse) by incorporating biological aging and social determinants of health (SDOH) indicators in cancer survivors. Methods: We included 645 adult cancer survivors from the 1999–2002 NHANES survey. Using training and test datasets, we employed six ML models to classify GI health conditions (better vs. worse). These models incorporated leukocyte telomere length (TL), SDOH, and demographic/clinical data. Results: Among the ML models, the random forest (RF) performed the best, achieving a high area under the curve (AUC = 0.98) in the training dataset. The gradient boosting machine (GBM) demonstrated excellent classification performance with a high AUC (0.80) in the test dataset. TL, several socio-economic factors, cancer risk behaviors (including lifestyle choices), and inflammatory markers were associated with GI health. The most significant input features for better GI health in our ML models were longer TL and an annual household income above the poverty level, followed by routine physical activity, low white blood cell counts, and food security. Conclusions: Our findings provide valuable insights into classifying and identifying risk factors related to GI health, including biological aging and SDOH indicators. To enhance model predictability, further longitudinal studies and external clinical validations are necessary. Full article

Objectives: This study aimed to examine the effects of poverty on child well-being and family functioning among low-income families. Specifically, it explored the role of parental stress, family dynamics, and contextual strain on children’s behavioral and emotional outcomes. Using a sample of families receiving welfare support, the research sought to assess the impact of conditional cash transfer programs and the involvement of Child Protective Services on child development and family well-being. Methods: This cross-sectional study involved 99 children aged 8–12 from low-income, welfare-assisted families recruited from the Porto Metropolitan Area. Parental stress, parenting attitudes, family functioning, and child outcomes were assessed using standardized questionnaires. Families with and without Child Protective Services involvement were compared, and a cumulative index of contextual strain was developed to measure the multidimensional impact of stressors on child outcomes. Results: The results revealed that 53% of children exhibited clinical or borderline internalizing behaviors, 47% showed externalizing behaviors, and 39% experienced low psychological well-being. High levels of parental stress, low parenting competence, and significant contextual strain were associated with poorer child outcomes. Families involved with Child Protective Services showed no significant differences in parent or family characteristics, but children from these families exhibited fewer behavioral problems. Conclusions: The study highlights the pervasive impact of poverty and contextual strain on child development, emphasizing the need for more comprehensive interventions. Family functioning and parental stress are critical factors influencing child well-being, pointing to the importance of addressing these areas through targeted welfare and support programs to reduce the intergenerational transmission of poverty and improve child outcomes. Full article

Background/Objectives: Baobab (Adansonia digitate L.) is an underutilized species and edible parts (fruits, leaves and seeds) contribute to food security and human health in tropical areas. Although the fruits have attracted greater research interest and have recently been approved for consumption in EU countries, the leaves are traditionally consumed but they have yet to be studied from an interventional perspective. The aim of this study was to propose a protocol for a dietary intervention using baobab leaves (BLs) to achieve the recommended reference values for proteins and minerals (K, Ca, Mg, Na, Fe, Mn) for different target groups of the Sudanese population. Methods: Dry matter, crude fat, protein and ash content, mineral content (Na, Mg, K, Ca, Fe, Mn), total phenolic, and flavonoid compounds were determined in BLs from six different areas. To assess the health and nutrition status in Sudan, time-series data (2013–2023) from the DataBank Health Nutrition and Population Statistics database were used. The reference values for nutrients recommended by the European Food Safety Authority were used to estimate the amount of baobab leaf intake (BLI, g/day). Results: For each nutrient, the study area with the lowest amount of BLs to be consumed is recommended. Leaves from the area of El Gari (BN3) 18.312 g/day and 30.712 g/day are recommended for K and Ca, which are particularly beneficial for children aged 1–3 years and lactating women. Leaves from Kor Tagat (KR1) are suitable for sodium intake, requiring approximately 13–23 g/day across all age groups. Leaves from Kazgil (KR2) (46–81 g/day), (35–66 g/day), (0.48–0.68 g/day), and (4–6 g/day) are optimal for fulfilling the daily requirements of magnesium, iron, manganese, and protein in this order. Conclusions: The systematic inclusion of BLs in the diet can positively support the nutritional status of various demographics. Moreover, the findings of this study demonstrated the foundation for public health and nutritional policy-makers on how they will tackle malnutrition and food insecurity worldwide by incorporating naturally available diets and nutritious alternatives. Recommendation: Further research should focus on assessing the nutritional composition factors that could affect the absorption of nutrients such as phytates and oxalates and investigating the in vitro bioavailability of the elements. Full article

This study investigates the multifaceted issue of energy poverty, focusing on its spatial and socioeconomic dimensions, with a particular emphasis on the case of Chile. Despite global initiatives like Sustainable Development Goal 7, which advocates for universal access to affordable and reliable energy, millions remain vulnerable to energy poverty. In Chile, this phenomenon is exacerbated by geographic and climatic variability, resulting in significant disparities in energy access, affordability, and efficiency. Using a multidimensional framework adapted from Bouzarovski and Petrova, we assessed energy poverty through factors including household income, fuel costs, energy infrastructure reliability, and regional climate needs. This analysis integrated composite indicators to map vulnerability at the regional level, highlighting high-risk areas primarily in the central and southern regions, where low incomes and dependency on biomass for heating amplified exposure occur. The findings reveal that approximately 4 million Chileans face a high risk of energy poverty, underscoring the need for regionally tailored policies that address both immediate economic constraints and structural energy inequalities. This research contributes to a comprehensive understanding of energy poverty in Chile and offers policy recommendations aimed at reducing socioeconomic disparities and achieving sustainable, equitable energy access. Full article

Research on household energy poverty is crucial for addressing basic human needs, highlighting the importance of conducting studies across different countries. This study examines energy poverty in the Visegrad Group countries using 2022 data from the EU Statistics on Income and Living Conditions survey, with the ‘inability to keep the home warm’ indicator as a measure. The study aims to identify socio-economic factors influencing energy poverty and examine how their impacts differ across the examined countries. Logistic regression, combined with machine learning techniques, was applied for this purpose. Furthermore, the study evaluates the classification results of logistic regression and three machine learning methods—CatBoost, Balanced Random Forests, and Extreme Gradient Boosting—on imbalanced data. It was found that, among the three machine learning methods used, Balanced Random Forests performed the weakest. Logistic regression, effective for our imbalanced data, complements the results and provides deeper insights into the socio-economic factors influencing energy poverty. The study found that Slovakia had the highest percentage of households vulnerable to energy poverty, while Czechia had the lowest. Income, household type, and the presence of disabled individuals were found to be important across all countries. However, other factors varied in their influence from one country to another, highlighting the need for country-specific analyses. Monitoring households’ exposure to energy poverty is a challenge for future social policy and the use of different methods provides an in-depth view of this complex issue. Full article

This study examines the framing of African technological innovations in Western media over the past two decades (2003–2023), focusing on four case studies: M-Pesa, LifeBank, FarmDrive, and NigeriaSat-1. Using a qualitative research design that integrates content analysis and framing theory, we analyze how major media outlets, including the BBC, CNN, The Guardian, Reuters, and The New York Times, represent African innovations. The analysis reveals that media coverage tends to frame these innovations primarily through a humanitarian lens, emphasizing their role in addressing poverty, healthcare, and food security challenges. While highlighting the social impact of these technologies, this narrative often overlooks their broader potential for global scalability and industry disruption. To complement the content analysis, we conducted 24 semi-structured interviews with tech entrepreneurs, media professionals, and scholars from Kenya, Ghana, Nigeria, and Senegal, investigating their perspectives on how Western media coverage impacts investment and collaboration in African technological sectors. The interview findings confirm that such media portrayals hinder international investment and partnership opportunities by reinforcing the narrative that African technologies are primarily crisis management tools, rather than innovative solutions with global market potential. This article argues for a shift in this narrative, recommending policies that include strategic media advocacy, enhanced public relations, and increased investment in Research and Development. Full article

Background/Objectives: Child malnutrition is a critical public health concern that significantly hampers children’s physical and mental development and imposes serious economic burdens. The World Health Organization (WHO) estimates that malnutrition is responsible for half of all deaths among children under five, leading to long-term consequences such as lower educational achievement, decreased productivity, and deepened poverty. This study aims to estimate the burden of child malnutrition in Colombia for children up to four years old, assessing both direct and indirect costs from a societal perspective. Methods: A Markov chain model was utilized to simulate six health states related to malnutrition, integrating direct and indirect costs. Epidemiological data and international literature informed the transition probabilities between states, while caregiver surveys were conducted to capture the indirect costs. Results: The study found that malnutrition accounted for 419.84 disability-adjusted life years (DALYs) per 1000 inhabitants. The total cost of malnutrition over a four-year period was approximately USD 243.58 million, with an annual average of USD 60.89 million, of which 65% of the burden fell on households. Conclusions: Child malnutrition in Colombia presents a considerable burden on health systems, households, and the national economy, demonstrating the need for robust interventions to mitigate its long-term socioeconomic impact. Full article

As a new driving force for economic growth, the digital economy has had a profound impact on the labor market. While the existing research has explored the role of the digital economy in job substitution, creation, and polarization effects, the research on the impact on the social insurance fund income is relatively scarce. In view of this, based on the provincial panel data from 2011 to 2020, this paper analyzes the effect and mechanism of the digital economy on the pension income by using the moderated chain intermediary model and random forest regression. The results show that: (1) the employment scale, labor income, industrial structure, and government intervention are the important factors affecting the income of urban pension insurance; (2) the development of the digital economy has a negative impact on the income of the basic pension insurance fund for urban employees, and the chain intermediary effect that indirectly affects the employment scale and labor income through promoting the upgrading of the industrial structure has a negative impact on the income of the pension insurance fund. The employment scale and employment income of the industries with high and low substitution rates have a significant impact; (3) government intervention can regulate the negative impact of the digital economy development on the pension fund income. Furthermore, taking the transformation and reform of social security collection and payment institutions in July 2018 as an opportunity, the analysis using the event study method found that the average level of the pension income in the regions where the tax department was fully responsible increased significantly compared with the regions where the social security department collected it. Therefore, in order to maintain the sustainability of the pension fund income and effectively prevent the problem of old-age poverty caused by the “silver wave” and the lack of protection of workers’ rights and interests, institutional innovation should be promoted, the current tax policy should be adjusted, and the inclusiveness and flexibility of the pension security system should be improved. Digital technology should be used to improve the government’s intervention capacity and management level, and promote the positive interaction between the digital economy and the pension insurance system. Full article

Worldwide, attempted suicide and suicide death are one of the leading causes of morbidity and mortality. Women in South-East Asia are especially vulnerable, as almost 50% of all global female suicides occur in the 11 countries of the WHO South-East Asia Region. This scoping literature analysis aimed to identify and analyze the predictors or risk factors for attempted suicide and suicide death among South-East Asian women. A scoping literature review was conducted. Five databases—PubMed, MEDLINE, EBSCOhost, PsycINFO, and EMBASE—were searched. Forty studies and twelve literature reviews were eligible for inclusion. Women in South-East Asia, particularly those who are young and married, living in poverty, with low or no education, living in rural areas, with no employment outside the home, with lower socioeconomic position, and living within joint families are highly vulnerable to suicidality. This review identified gender disadvantage, infertility, domestic abuse, intimate partner violence, family conflicts, husband’s alcohol misuse, child marriage, forced marriages, and dowry disputes as the most significant predictors of attempted suicide and suicide death among South-East Asian women. A better understanding of the phenomenon is essential to develop effective gender-specific and culturally appropriate suicide prevention strategies or interventions. Full article

The Sustainable Development Goals are the core of public debate due to their crucial aims of combating poverty, inequality, and climate change. Communication, strategies, and tools play a crucial role in spreading awareness about the 17 goals, but communication campaigns remain ineffective and unattractive. This study aims to analyze the importance and the role that Italians attribute to communication tools for disseminating information about sustainability and the SDGs. In particular, this work seeks to examine whether there is a connection between age and the importance given to sustainability, and how communication tools influence citizens’ perceptions of the significance of sustainability. An online questionnaire was carried out to collect responses, which were then subjected to Multiple Correspondence Analysis. The results show how the importance given to sustainability is linked to age and identify the communication tools through which citizens have learned about sustainability and the SDGs. Furthermore, respondents confirm that communication campaigns are still ineffective, and that there is still little engagement from stakeholders in their creation. The study produces implications for stakeholders to create adequate communication campaigns that help raise awareness and encourage citizens to pay more attention to the world around them. Full article

The lower reaches of the Jinsha River, serving as a vital ecological barrier in southwestern China and playing a crucial role in advancing targeted poverty alleviation efforts, remain underexplored in terms of the coupling between ecological and economic development, creating a gap in understanding the region’s sustainable development potential. This study combines the remote sensing ecological index (RSEI) derived from MODIS data and the biodiversity richness index (BRI) based on land use data to create the ecological environment index (EEI) using a weighted approach. It also develops the economic development index (EDI) from economic data using the entropy weight method. By integrating the EEI and EDI, the study calculates key metrics, including the ecological–economic coupling degree (EECD), coupling coordination degree (EECCD), and relative development degree (EERDD), and examines their spatiotemporal changes from 2000 to 2020. Additionally, the study applies a geographic detector model to identify the spatial drivers of the EEI, an obstacle factor diagnosis model to pinpoint the main barriers to EDI, and a neural network model to uncover the underlying forces shaping EECCD. The results indicate that: (I) From 2000 to 2020, the overall improvement rate of the ecological and economic subsystems was greater than that of the ecological–economic coupling system. The entire region is still in the Running-In Stage, and the coordination level has been upgraded from near imbalance to marginal coordination. About 85% of the counties’ EERDDs are still in the EDI Behind EEI Stage. (II) The structural composition of the EEI shows a pattern of low Dry Hot Valley Area and high in other areas, mainly driven by natural factors, although human activities had a notable impact on these interactions. (III) Originating from an impact model primarily driven by economic factors and supplemented by ecological factors, both EDI and EECCD exhibit a pattern of high in the south and low in the north, with improvements spreading northward from the urban area of Kunming. The development gradient differences between 24 poverty-stricken counties and 16 non-poverty-stricken counties have been reduced. (IV) For the six types of ecological–economic coupling development zones, it is essential to adopt localized approaches tailored to the differences in resource and environmental characteristics and development stages. Key efforts should focus on enhancing ecological protection and restoration, increasing financial support, implementing ecological compensation mechanisms, and promoting innovative models for sustainable development. Full article

Introduction: The objective of this narrative review is to examine the health risks associated with informal mining in Sub-Saharan Africa (SSA), with a particular focus on HIV prevention. It aims to review existing interventions targeting this population and identify challenges and opportunities for improvement. Methods: A comprehensive literature review was conducted using databases such as Google Scholar, PubMed, ScienceDirect, and Cochrane Library. Studies and reports published between 2000 and 2023 that focused on occupational health risks and HIV prevention interventions in the informal mining sector of SSA were included in the analysis. Results: Informal mining in SSA presents significant health risks to workers, including exposure to hazardous substances, poor working conditions, and limited access to healthcare. These factors, combined with the high prevalence of HIV/AIDS in the region, make informal miners particularly vulnerable to infection. The review identified several key themes related to occupational health risks, such as poor environmental and sanitation conditions, increased vulnerability due to factors like poverty and lack of education, and limited access to healthcare services. A variety of interventions have been implemented to address HIV prevention among informal miners in SSA. These include behavioral strategies like peer education and social marketing campaigns, as well as biomedical interventions such as counseling, testing, and pre-exposure prophylaxis (PrEP). However, challenges persist in delivering effective HIV prevention services to this population. These challenges include restricted access to healthcare, the high mobility of miners, limited resources, and stigma associated with HIV. Conclusions: The findings of this review highlight the urgent need for integrated health services and tailored interventions that address the specific issues faced by informal miners in SSA. Community-based and culturally sensitive programs, developed in collaboration with mining communities, are essential for effective HIV prevention. Future research should evaluate the long-term impact of interventions and explore their scalability. To improve intervention effectiveness and sustainability, stakeholders should focus on community engagement, strengthening health systems, and addressing structural barriers. A multi-sectoral approach is necessary to tackle the broader determinants of health in mining communities. Full article

The share of renewable energy sources (RES) in the global energy system is systematically increasing, making them the most important element of the energy transformation. Their use enables rational management of limited resources, reduction of environmental pollution, and has a significant inhibitory effect on energy poverty by improving energy efficiency. The aim of this article is to assess the impact of the use of renewable energy on the level of energy poverty in the European Union countries in 2010, 2015, and 2022. A taxonomic measure of development based on the Weber median was used to examine the relationship between the results achieved by individual EU member states in terms of the impact of the use of renewable energy on the level of energy poverty. The research results clearly indicate the existence of disproportions between the countries of the “old” EU and the countries that joined it in 2004 and later. These disproportions concern both the use of energy obtained from renewable sources and energy poverty. In the countries of the “old” Union, a positive moderate relationship was identified between the use of renewable energy and energy poverty, which means that a higher share of the use of energy from renewable sources in these countries reduces energy poverty. In the countries of the “new” Union, however, this relationship was very weak (2010) or non-existent. Since the renewable energy sector is subject to government policy and regulations, the results presented in this paper should be of interest to decision-makers. A stable, long-term policy should provide an appropriate investment climate that provides support for renewable energy projects and reduces the level of energy poverty. Full article

Background: Human population has been overexploiting natural resources for many decades. Consumerism drives a strong economy, but at the same time it degrades the environment. The solution is to turn it into sustainable development. In this study, our aim was to determine how the quest for sustainable consumption was perceived in the current scientific literature; Methods: A total of 712 papers from the Scopus, Web of Science, and PubMed databases were investigated. Descriptive statistics and VOSviewer (version 1.6.18.) and Wordcloud software were used for further analysis. The analysis involved investigating publication trends over time, engaged countries and funding agencies, co-authorships, document types, thematic categories, sustainable development goals orientation, and the most frequently occurring words. Results: Word clouds created in the WordArt program based on the titles and abstracts indicated “food” to be the most frequently occurring word. The content of the articles was analyzed based on three term clusters: (1) “food waste”, “waste”, “food security”; (2) “agriculture” and “vertical farming”; and (3) “energy”. Conclusions: Analyzed articles surpassed the European Union, indicating the global range of striving for sustainability. The co-occurrence of the following sustainable development goals (SDGs) was indicated in the study: no. 1 (“no poverty”), no. 2 (“zero hunger”), no. 3 (“good health and well-being”), no. 6 (“clean water and sanitation”), no. 7 (“affordable and clean energy”), no. 8 (“decent work and economic growth”), no. 9 (“industry, innovation and infrastructure”), no. 10 (“reduced inequalities”), no. 12 (“responsible production and consumption”), no. 13 (“climate action”), no. 14 (“life below water”), and no. 15 (“life on land”). Full article

This project studies how to raise awareness of the environment and sustainability among secondary school students. The goal is for them to become aware of their role in transforming the world, in order to integrate the Sustainable Development Goals (SDGs) into students’ daily educational environment. The goal is to attain the highest possible level of diversity in terms of age, possible knowledge of the SDGs, and environmental awareness. Another important factor is geographical distribution, with the inclusion of students from rural and urban schools. The study was developed within the framework of Forest and Sustainability, a project designed for secondary schools in Catalonia, using interactive learning tools. Survey participants (a total of 1106) are asked to choose and prioritize five SDGs. To obtain information on the trends in the responses, the program Minitab Statistical Software (v.22) was used. The SDGs with the highest score are SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 3 (Good Health and Well-Being), SDG 5 (Gender Equality), and SDG 16 (Peace, Justice, and Strong Institutions). The humanitarian and health factors concern members of the sample group most, with very interesting results when comparing the responses by gender, educational level, and rural or urban schools’ participants. Full article

The Zapatosa Marsh Complex (ZMC) is a strategic ecosystem in Colombia, under threat from human-driven factors such as population growth and subsistence extraction activities. Local residents experience high poverty levels and low educational attainment, exacerbating conflicts between their socio-economic needs and marsh conservation efforts. This study aimed to present a participatory approach to prioritize actions for sustainable development in Chimichagua, the municipality encompassing the largest part of the ZMC. We identified and characterized local stakeholders, engaging them in a participatory action research project to determine barriers and opportunities for economic growth and food security. The insights gathered were collaboratively used to formulate actions that balance the sustainability of the ZMC with local economic development. Stakeholders identified the ZMC as an opportunity for employment and raw materials, while pointing to poor support from territorial entities as the central barrier. A prioritized action was the construction of a concentrate feed production plant utilizing local raw materials. This work offers a methodological contribution that could be applied to address socio-economic and environmental conflicts in other strategic ecosystems. Full article

Poverty is a reality worldwide, impacting individuals, communities, and systems. However, poverty is by no means a simplistic concept and its complexity therefore needs to be highlighted as it varies from continent to continent. The Church and pastoral theology can contribute to constructively addressing poverty and the need to develop a theological understanding of poverty. In endeavoring to engage with this reality, this contribution attempts to argue that constructive dialogue creates opportunities for pastoral theology and the Church to change the conditions of the poor. It will also indicate how the Dialogical Intergenerational Pastoral Process (DIPP) as a pastoral approach to poverty, vulnerability, and vulnerance can be relevant to addressing poverty. The aim is further that this contribution will create opportunities for the poor to change pastoral theology and the Church. Full article

Background: Living in poverty negatively affects the biopsychosocial health of older adults. Nursing students need to develop competence to promote health and self-care behaviours amongst older adults living in poverty in high-income countries. Aim: To explore nursing students’ perceptions of a service learning programme aimed at promoting health and self-care among older adults living in poverty in a high-income country. Methods: A descriptive qualitative study was conducted with 37 nursing students recruited from a university in Southeastern Spain. Participants completed a service learning programme in which they conducted preventive home visits to older adults living in poverty. Data were collected through in-depth interviews and analysed using a reflexive thematic analysis. Results: Three key themes were developed: (1) service learning as a different way of learning, (2) as an active learning approach to bridge the theory–practice gap, and (3) to provide insight into an unknown side of nursing. Conclusions: By providing opportunities for active, experiential learning in real-world contexts, service learning was perceived by the nursing students as a methodology that helps to bridge the gap between theory and practice. Participating in a service learning programme with older adults living in poverty not only fosters emotional engagement, reflective practice, and the development of essential non-technical skills in nursing students, but it also prepares them to advocate for older adults living in poverty in a high-income country. Full article

The topographies of soil erosion and deposition are critical factors that significantly influence soil quality, subsequently impacting the erodibility of soils in karst regions. However, the investigation into the effects of erosion and deposition topographies on soil erodibility across different stages of vegetation succession in karst trough valleys is still at a preliminary stage. Therefore, three distinct topographic features (dip slopes, anti-dip slopes, and valley depressions) were selected at erosion (dip/anti-dip slope) and deposition sites (valley) to investigate the spatial heterogeneity of soil physicochemical properties, infiltration capacity, aggregate stability, and erodibility in karst trough valleys. Additionally, five different stages of vegetation succession in karst forests were considered: Abandoned land stage (ALS), Herb stage (HS), Herb-Shrub stage (HES), Shrub stage (SHS), and Forest stage (FS). Additionally, the relationships among these factors were analyzed to identify the key driving factors influencing soil erodibility. The results revealed that soil physicochemical properties and soil aggregate stability at the deposition site were significantly superior to those at the erosion site. The FS resulted in the best soil physicochemical properties, whereas the HS resulted in the highest soil aggregate stability within the deposition site. However, the soil infiltration capacity at the erosion site was significantly greater than that at the deposition sites. The ALS had the strongest soil infiltration capacity at both the erosion and deposition sites. The soil erodibility at erosion sites (0.064) was significantly greater than that at deposition sites (0.051), with the highest soil erodibility observed on anti-dip slopes during the HES at erosion sites (0.142). The structural equation model reveals that erosion and deposition topographies, vegetation succession, soil physicochemical properties, soil aggregates, and soil infiltration characteristics collectively account for 88% of the variation in soil erodibility under different conditions. Specifically, both direct and indirect influences on soil erodibility are most significantly exerted by soil aggregate stability and vegetation succession. This study provides scientific evidence to support the management of soil erosion and ecological restoration in karst trough valleys while offering technical assistance for regional ecological improvement and poverty alleviation. Full article

The concept of “period poverty” describes the lack of access to menstrual health education and menstrual care products. This quasi-experimental mixed-methods study evaluated a collaboration called Just 4U™ to address period poverty. This collaboration was formed between My Vital Cycles^®, as the provider of educational content, and Modibodi^®, as the provider of period pants as a reusable menstrual product (RMP). Five co-educational schools, including a regional school, participated and were of average to below-average socio-educational advantage ranking in Australia. The pre- and post-intervention evaluation with 63 postmenarcheal adolescents (14–18-year-old) in Grades 9–12 showed an improvement in their ovulatory menstrual health literacy. Open-ended questions explored their perspectives on the RMP. Overall, the RMP was well received by participants, who reported a positive impact on their mindset and cycle management. School staff (n = 6) who had observed delivery of Just 4U™ were interviewed. They believed the program had benefited the participants and recommended that teacher training would help the intervention to be sustainably implemented in schools. Findings highlight the worthwhile inclusion of RMPs alongside ovulatory menstrual health education. This study contributes to ongoing research in adolescent ovulatory menstrual health education. Full article

Psychoactive substance abuse has become a pandemic in most parts of the globe. This study sought to assess the contributory factors and impacts of psychoactive substance abuse among the youth in Makokoba—a high-density residential area in Zimbabwe’s second largest city, Bulawayo. A mixed methods research design was used on a sample of 122 respondents who were invited to participate in the study. Data were gathered using questionnaires and semi-structured in-depth interviews. Statistical Package for Social Sciences (SPSS) version 25 was used to analyse quantitative data, while the qualitative component was analysed using thematic analysis. Findings revealed peer pressure, broken homes, poor parental care, and poverty as the main causes of psychoactive substance abuse among the youth. Development of health problems, violent behaviour, disrespect for the elderly, and teenage pregnancies were considered as the major effects of psychoactive substance abuse. Given the roles that peer pressure and the family environment played in psychoactive substance abuse among the youth, the study recommends family and community-based measures. Close monitoring at the family level in educational and religious institutions as well as socio-economic development are the key prescriptive measures recommended by this study. Full article

Background: Trace elements (TEs) are essential nutrients for the human body and have a significant impact on fertility and hormone levels in women of reproductive age, underscoring the importance of understanding sociodemographic variations in their concentrations within this population. Objective: To investigate the socio-demographic factors influencing blood concentrations of four essential TEs, including iron, zinc, copper, and selenium among women of reproductive age. Methods: A cross-sectional analysis of women aged 20–44 years was performed using the National Health and Nutrition Examination Survey, 1999–2018. Serum iron data were analyzed for 9211 women across 10 cycles, while serum copper, zinc, and selenium data were available for 1027 women across 3 cycles. Generalized linear and logistic regressions examined the individual associations of socio-demographic factors, including age, race and ethnicity, education, and poverty index ratio, with iron, zinc, copper, and selenium concentrations treated as continuous and categorical outcomes, respectively. A qualitative heatmap explored the joint associations between the socio-demographic factors and the four essential TEs. Results: Reduced iron concentrations and increased risks of insufficiency occurred in older, Black, low-education, or low-income women. Black women were more likely to have lower zinc and selenium concentrations and an increased risk of zinc insufficiency but higher copper concentrations. The qualitative heatmap found that older, Black, low-education, and low-income women generally had lower concentrations of the four TEs, particularly iron (β = −0.10; p < 0.01). Conclusions: Socially disadvantaged women are more likely to present with lower TE concentrations, and these specific population groups should be targeted by replenishment planning by public health initiatives. Full article

This study examines the impact of the European Union’s Common Agricultural Policy (CAP) funds, specifically the European Agricultural Fund for Rural Development (FEADR) and the European Agricultural Guarantee Fund (FEGA), on a range of economic, social, and environmental outcomes across European regions. Utilizing Fully Modified Ordinary Least Squares (FMOLS) estimators, this research analyses 13 equations corresponding to various dependent variables, including employment rates, poverty levels, agricultural productivity, and environmental indicators such as greenhouse gas emissions and renewable energy production from agriculture. This analysis covers the period from 2010 to 2021, and draws upon a balanced sample of 301 observations to ensure robust estimations. Results indicate that both FEADR and FEGA payments significantly influence these regional outcomes, though the effects vary depending on the specific economic or environmental indicator examined. The findings reveal that while FEADR payments positively impact rural employment, agricultural income, and renewable energy production, they are less effective in addressing poverty reduction and productivity enhancement. Conversely, FEGA payments exhibit a stronger influence on agricultural productivity and income, but have mixed effects on environmental sustainability. This study highlights significant regional disparities, suggesting that the allocation of CAP funds is uneven in its impact across regions. The implications for policymakers are clear: a more tailored approach is required to enhance the effectiveness of CAP funds in meeting diverse regional needs, particularly in promoting economic development while minimizing environmental harm. This study also emphasizes the need for further research to explore alternative policy mechanisms and innovative agricultural practices that can bridge the gaps identified in the current CAP framework. Limitations of this study include data availability and the inherent complexity of agricultural systems, which may affect the generalizability of the results across different EU member states. Full article

Background: The global push to eliminate tuberculosis (TB) as a public health threat is increasingly urgent, particularly in high-burden areas like the Oliver Reginald Tambo District Municipality, South Africa. Drug-resistant TB (DR-TB) poses a significant challenge to TB control efforts and is a leading cause of TB-related deaths. This study aimed to assess DR-TB transmission patterns and predict future cases using geospatial and predictive modeling techniques. Methods: A retrospective cross-sectional study was conducted across five decentralized DR-TB facilities in the O.R. Tambo District Municipality from January 2018 to December 2020. Data were obtained from Statistics South Africa, and patient GPS coordinates were used to identify clusters of DR-TB cases via DBSCAN clustering. Hotspot analysis (Getis-Ord Gi) was performed, and two predictive models (Linear Regression and Random Forest) were developed to estimate future DR-TB cases. Analyses were conducted using Python 3.8 and R 4.1.1, with significance set at p < 0.05. Results: A total of 456 patients with DR-TB were enrolled, with 56.1% males and 43.9% females. The mean age was 37.5 (±14.9) years. The incidence of DR-TB was 11.89 cases per 100,000 population, with males being disproportionately affected. Key risk factors included poverty, lack of education, and occupational exposure. The DR-TB types included RR-TB (60%), MDR-TB (30%), Pre-XDR-TB (5%), XDR-TB (3%), and INHR-TB (2%). Spatial analysis revealed significant clustering in socio-economically disadvantaged areas. A major cluster was identified, along with a distinct outlier. The analyses of DR-TB case trends using historical data (2018–2021) and projections (2022–2026) from Linear Regression and Random Forest models reveal historical data with a sharp decline in DR-TB case, from 186 in 2018 to 15 in 2021, highlighting substantial progress. The Linear Regression model predicts a continued decline to zero cases by 2026, with an R² = 0.865, a mean squared error (MSE) of 507.175, and a mean absolute error (MAE) of 18.65. Conversely, the Random Forest model forecasts stabilization to around 30–50 cases annually after 2021, achieving an R² = 0.882, an MSE of 443.226, and an MAE of 19.03. These models underscore the importance of adaptive strategies to sustain progress and avoid plateauing in DR-TB reduction efforts. Conclusions: This study highlights the need for targeted interventions in vulnerable populations to curb DR-TB transmission and improve treatment outcomes. Full article

Eliminating poverty, reducing inequality, and achieving balanced development are one of the United Nations Sustainable Development Goals. Objectively and accurately measuring regional economic vitality and development equilibrium is a pressing scientific issue that needs to be addressed in order to achieve common prosperity. Nighttime light (NTL) remote sensing data have been proven to be a good proxy variable for socio-economic development, and are widely used due to their advantages of convenient access and wide spatial coverage. Based on multi-source data, this study constructs an Economic Development Index (EDI) that comprehensively reflects regional economic vitality from two aspects, economic quality and development potential, combines the Nighttime Light Development Index (NLDI) as the evaluation indicators to measure the economic vitality and development equilibrium, analyzes the economic vitality and development equilibrium of 300 district and county units in China’s three major urban agglomerations from 2000 to 2020 and their temporal and spatial variation characteristics, and discusses the connotation of EDI and its availability. The results show the following: (1) From 2000 to 2020, the average growth rate of EDI in China’s three major urban agglomerations reached 36.32%, while the average decrease rate of NLDI reached 38.75%; both economic vitality and the development equilibrium have been continuously enhanced. Among them, the Yangtze River Delta (YRD) urban agglomeration experienced the fastest economic growth, while the Guangdong–Hong Kong–Macao Greater Bay Area (GBA) exhibited the strongest economic strength. (2) Both economic vitality and the development equilibrium in these three urban agglomerations exhibited distinct spatial agglomeration characteristics, namely center-surrounding distribution, coastal–inland distribution, and radial belt–pole distribution, respectively. (3) Over the past two decades, the economic development of these three urban agglomerations has progressed towards the pattern of regional coordinated development, pole-driven development and urban–rural integrated development. The research results can provide new research perspectives and scientific support for promoting regional balanced development, achieving sustainable development goals, and reducing inequality. Full article

This study addresses methodical and empirical dimensions of energy poverty based on the case study of the Masovian Voivodeship (also referred to as Mazovia) of Poland, focusing on socioeconomic, technical, and infrastructural factors affecting the thermal comfort of households, while taking into account the local contexts. Using both objective and subjective indicators, this study analyses selected conditions and perceptions of household groups defined as “energy poor”. The representative study group surveyed during the research process includes 2000 residents of the Masovian Voivodeship of Poland. The study was conducted utilising the computer-assisted web interview (CAWI) and computer-assisted telephone interview (CATI) methods. Analysis results show significant regional differences: the prevalence of energy poverty varies significantly depending on energy costs, housing conditions, and heating sources. Results indicate that older buildings and single-family houses, especially those still using coal or wood heating, are characterised by the greatest vulnerability to energy poverty, often related to insufficient insulation and outdated heating infrastructure. Conclusions highlight the urgent need to implement targeted policy interventions, advocating for thermal efficiency programmes and support for low-income households to alleviate the wider socioeconomic and health consequences of energy poverty in the region. Full article

This study explores the use of machine learning models to predict the percentage of the population unable to keep their houses adequately warm in European countries. The research focuses on applying three machine learning models—ElasticNet, decision trees, and neural networks—using macro-energy indicator data from Eurostat for 27 European countries. Neural networks with Bayesian regularization (BR) achieved the best performance in terms of prediction accuracy, with a regression value of 0.98179, and the lowest root mean squared error (RMSE) of 1.8981. The results demonstrate the superior ability of the BR algorithm to generalize data, outperforming other models like ElasticNet and decision trees, which also provided valuable insights but with lower precision. The findings highlight the potential of machine learning to predict the percentage of the population unable to keep their houses adequately warm, enabling policymakers to allocate resources more efficiently and target vulnerable populations. This research is the result of the application of machine learning models to solve the problem of energy poverty. Full article

Asia accounted for 167.1 million tons of global fisheries and aquaculture production, 75 percent of the world’s total. Seafood, especially aquaculture products, is a dominant and growing sector and crucial in the Asia-Pacific region for ensuring global food security, supporting sustainable livelihoods, reducing poverty for small-scale fisheries, and promoting environmental sustainability. However, amidst the current backdrop of the World Trade Organization (WTO)‘s inefficiency and dysfunctional mechanism, coupled with a slowdown in global economic growth and the resurgence of trade unilateralism and protectionism, these challenges have created significant barriers to trade, limiting market access and hindering the sustainable growth of the seafood industry. The implementation of the Regional Comprehensive Economic Partnership (RCEP) offers Asia-Pacific economies a promising opportunity to expand trade and stimulate economic growth sustainably. In this study, we aim to provide a comprehensive overview of the potential effects of the RCEP on aquatic products trade among the parties. A key marginal contribution in our study is that we adjusted the existing tariff rates under other FTAs to the same period as tariff rates under RCEP and compared the concession rates between these different FTAs to clearly illustrate the potential tariff effects of RCEP. On the non-tariff side, we analyze specific provisions in the RCEP agreement that could potentially affect aquatic products trade and evaluate their possible impacts. The results showed that, as of 2022, in almost all RCEP parties, the average tariffs under the RCEP agreement are generally higher than those under other existing FTAs, which indicates that the tariff concession efforts under RCEP are limited for most parties. However, due to certain progressiveness compared to other FTAs in terms of its provisions on non-tariff measures, such as rules of origin, sanitary and phytosanitary measures (SPS) regulations, etc., RCEP has the potential to benefit a broader range of countries and products, making market access more convenient and inclusive for the seafood industry. Full article

The elimination of poverty in all its forms is the first global goal of the United Nations’ 2030 Agenda for Sustainable Development. Achieving this goal is recognized as a long-term process that is complicated by persistent vulnerabilities stemming from factors such as natural disasters, food insecurity, health challenges, educational disparities, and social inequality. This systematic bibliometric review provides a comprehensive survey of the impact of social protection-based policies in mitigating poverty vulnerability, focusing on selected countries and regions, including America, Europe, Oceania, and part of Asia and Africa. Our analysis reveals that 81% of the studies examine poverty vulnerability from a single dimension, predominantly focusing on food security and nutrition (23%), climate change shocks (18%), and health-related vulnerabilities (14%). The geographic distribution indicates that the United Kingdom and the United States lead research in this field, contributing 36 and 32 papers, respectively, followed by China (16 papers), South Africa (15 papers), and Canada (10 papers). The results indicate that these fiscal redistribution policies significantly contribute to reducing poverty and inequality and have positive impacts on other Sustainable Development Goals (SDGs), particularly SDG 1 (No Poverty), SDG 2 (Zero Hunger), SDG 3 (Good Health and Well-being), and SDG 10 (Reduced Inequalities). However, notable gaps remain, especially regarding the integration of these policies with environmental sustainability goals like SDG 13 (Climate Action), which are addressed in only a minority of studies. This study concludes by recommending the adoption of more holistic and integrated policy frameworks that bridge the gap between social protection and environmental sustainability, thereby advancing the entire 2030 Agenda for Sustainable Development. Full article

This article aimed to assess the level of energy poverty of households in Poland based on the multidimensional index proposed by the authors. Surveys conducted in July 2022 on a sample of 1112 respondents were used. The questionnaire used the computer-assisted web interview (CAWI) method. The variables needed to build the index and various socio-economic characteristics describing households were defined during the research. The energy poverty index was calculated for individual households and was analyzed for a correlation with variables describing the characteristics of households. The analysis showed correlations, among others, with the place of residence and income variable and the energy poverty index. Statistical, descriptive, and comparative methods were used. Full article

Over the past 27 years, three major global TB control strategies have been implemented, and it is important at this stage to evaluate their impact on tuberculosis (TB) case notification rates (CNRs). This study, therefore, analyzed TB CNR trends from 1995 to 2022 across 208 countries and islands, using data from the WHO Global TB Programme database. Countries were classified by income level and population size based on World Bank criteria. The analysis revealed significant disparities in TB CNRs across income groups: Low-income, lower-middle-income, and upper-middle-income countries consistently reported higher CNRs compared to high-income countries. Regional analysis further demonstrated notable variations influenced by both economic and geographical factors. These findings reaffirm the strong link between TB and poverty, underscoring the need for a holistic approach to combat the disease. Efforts must extend beyond enhancing health care access and delivery to addressing the social determinants that drive TB transmission and progression. Full article

Although the widespread use of the Internet in rural areas provides new opportunities for economic growth, whether and how rural women benefit from it remains a question. Guided by Sustainable Development Goal (SDG) 5 and its targets, this study examines the impact of Internet use on rural women’s income by using survey data from 1384 rural households in underdeveloped areas of China. The results indicate that Internet use can significantly increase rural women’s income in underdeveloped areas. Additionally, the income effects of Internet use are heterogeneous across the different purposes of Internet use, income levels, individual characteristics, and family characteristics. Further analysis reveals that increasing labor input and enhancing capital endowment are two important channels through which Internet use increases rural women’s income. The results offer further empirical support for policymakers to utilize the Internet to increase rural women’s income and contribute to poverty alleviation in underdeveloped areas. Full article