Search Results (587)

COVID-19 was a prolonged public-health shock that disrupted mobility, access to services, and household spending. Although the official U.S. poverty rate declined to 11.1%, the Supplemental Poverty Measure rose to 12.9%, suggesting that material hardship persisted unevenly across places. This study asks whether pre-existing livelihood vulnerability and local epidemic burden translated into geographically concentrated consumption losses during 2020–2022. Because sustained consumption loss can erode households’ health-related spending, tracking where spending declines concentrate helps connect local social and environmental conditions to how communities withstand a health crisis. We analyze consumer expenditure, unlike prior research relying on aggregate retail sales, to capture fine-grained economic strains as a proxy for shock-absorption capacity. A Livelihood Vulnerability Index (LVI) was calculated for each U.S. county using 16 socio-economic variables, and counties were classified as high- or low-risk. A multilevel model then examined how socio-economic and COVID-19 factors at county and census tract levels shaped consumption changes. Higher-risk communities experienced greater consumption reductions. At the census tract level, the non-White ratio, vacancy rate, built year, per capita income, education level, and housing value were significant. At the county level, COVID-19 cases and deaths, crowding, public transportation use, and vehicle availability mattered most. These findings support place-targeted strategies that combine public-health response with socio-environmental interventions to reduce disparities rooted in pre-existing vulnerability. Full article

Poverty reduction, which is central to the UN Sustainable Development Goals, drives strategies like poverty alleviation relocation. China’s poverty alleviation relocation program represents a systematic government project to achieve national modernization. However, a holistic perspective of examining the process of reconstructing the social space of resettlement areas in poverty alleviation relocation is relatively limited. Drawing on spatial production theory, this study examines the mechanisms of spatial reconstruction in the Mu’en Di Resettlement Area in China from a holistic perspective, focusing on institutional, material, and spiritual spaces. This study primarily employs field-based ethnography, supplemented by a text analysis of policy documents. The findings reveal that the reconstruction of social space in resettlement areas constitutes a dynamic arena of interactions among state planning, market regulation, and migrant adaptation. This study offers insights for the practice of spatial reconstruction for impoverished migrants and emphasizes the importance of empowering migrants as active agents in this process. Full article

Given China’s strategic need to alleviate poverty and promote high-quality development in the Yellow River Basin, in this paper, we adopt the unique perspective of ecological migration to dynamically analyze changes in the spatial structure, spatial differentiation, trajectory, and formation mechanism of multidimensional poverty. This study finds the following: (1) In recent years, multidimensional poverty in the contiguous poverty-stricken areas represented by Liupan Mountain in Ningxia has shown a tendency to change from overall poverty to partial poverty. (2) The influence of rural per capital net income on multidimensional poverty has been gradually slowing down over time, which reflects the evolution of the concentrated contiguous poverty-stricken areas represented by the Liupan Mountain area in Ningxia from absolute poverty to relative poverty. (3) Geographical capital and economic development exert a high degree of direct impact on multidimensional poverty. However, as key carriers of spatial reconstruction, ecological migration is not a direct first-order input factor. Instead, it indirectly influences the spatial reconstruction of poverty by reshaping the distribution of population, housing, cultivated land, and infrastructure, with its effects reflected in core indicators such as per capita cultivated land and ecological vulnerability. Establishing a long-term poverty alleviation mechanism for advantageous industries, building a multidimensional education system for poverty reduction, and implementing ecological migration are important pathways to alleviate and eliminate multidimensional poverty in this region. Full article

Climate change disproportionately threatens low- and middle-income countries, yet integrated assessments combining socio-economic fragility with physical hazards remain limited. This study quantifies multi-dimensional climate vulnerability and derives optimized adaptation policies for six representative nations (Bangladesh, Colombia, Kenya, Morocco, Pakistan, Vietnam) by fusing socio-economic indicators with climate risk data (2000–2024). A computational framework integrating unsupervised learning, dimensionality reduction, and predictive modeling was employed. Principal Component Analysis synthesized eight indicators into a Compound Vulnerability Score (CVS), while K-Means and DBSCAN identified distinct vulnerability regimes. XGBoost quantified driver importance, and Graph Neural Networks captured systemic interconnections. XGBoost identified projected drought risk (31.2%), precipitation change (18.1%), and poverty headcount (14.3%) as primary drivers. Graph networks demonstrated significant risk amplification in African nations (Morocco SRS: 0.728–0.874; Kenya SRS: 0.504–0.641) versus damping in Asian countries. A Reinforcement Learning (RL) agent was trained using Deep Q-Networks with experience replay to optimize intervention portfolios under budget constraints. The RL policy achieved a 23% reduction in systemic risk compared to uniform allocation baselines, generating context-specific priorities: drought management for Morocco (score 50) and Pakistan (40); poverty alleviation for Kenya (40); coastal protection for Bangladesh (40); agricultural resilience for Vietnam (35); and institutional capacity building for Colombia (50). In conclusion, socio-economic fragility non-linearly amplifies climate hazards, with poverty and drought risk constituting critical vulnerability multipliers. The AI-driven framework demonstrates that targeted interventions in high-sensitivity systems maximize systemic risk reduction. This integrated approach provides a replicable, evidence-based foundation for strategic adaptation finance allocation in an increasingly uncertain climate future. Full article

The objective is to evaluate the validity and reliability of the Household Water Insecurity Experiences (HWISE) Scale as a tool to assess the experiences of households and the Argentine population regarding insecurity of access to water. Addressing water insecurity is critical for advancing several Sustainable Development Goals (SDGs), particularly SDG 6 (Clean Water and Sanitation), SDG 3 (Good Health and Well-Being), and SDG 1 (No Poverty), given the strong links between access to safe water, health, and poverty reduction. The scale was administered as part of the Argentine Social Debt Survey (EDSA), on a probabilistic sample of 5799 households. The HWISE Scale demonstrated high reliability both overall and at the item level (Cronbach’s alpha of 0.95 at a total level and greater than 0.94 for each of the items) and criterion validity in terms of correlation with a broad set of indicators: social deprivations, sanitary infrastructure, food insecurity, and psychological health. Finally, the scale showed internal consistency, with a total omega coefficient value of 0.96, suggesting that all scale indicators refer to the same concept of deprivation in water access. In sum, the HWISE Scale applied to the case of Argentina is deemed appropriate for estimating household water insecurity. Full article

The building sector is responsible for 40% of CO₂ emissions in Portugal, making the integration of renewable energy systems increasingly relevant. Photovoltaic (PV) technologies have become more accessible due to declining levelized costs of energy, and when coupled with battery energy storage systems (BESSs), they can enhance grid independence, reduce household energy expenses, and mitigate peak load stress. However, high upfront costs still limit adoption, particularly among vulnerable communities. This study evaluates the technical, economic, and environmental performance of PV systems, with and without BESSs, compared with an existing solar thermal configuration in a social-housing neighbourhood in Porto, Portugal. Numerical simulations were conducted for three scenarios, optimising system sizing and ensuring hourly energy flow balance between generation, storage, and grid supply. Results indicate that all configurations are technically feasible within Porto’s climate conditions, though with distinct investment needs, payback periods, and CO₂ reduction outcomes. The findings offer practical guidance for designing renewable energy solutions tailored to social housing, supporting both decarbonization goals and long-term mitigation of energy poverty. Full article

Smallholder poultry farming contributes enormously to rural livelihoods, food security, and nutrition in South Africa, yet the poultry industry remains constrained by limited participation and low ICT utilisation. This study investigated the socioeconomic and demographic factors influencing decisions and choices of smallholder poultry farmers towards the adoption of ICT and market engagement in Jozini Local Municipality, KwaZulu-Natal. A cross-sectional research design was used to collect primary data from respondents. Data were collected through face-to-face surveys from 162 participants, who were randomly selected. Descriptive statistics were employed to profile the use and extent of ICT, while the multivariate probit model was used to analyse the determinants of ICT adoption and market engagement. The findings revealed that most farmers own ICT tools such as mobile phones (98.15%), which they mainly use for communication purposes (98.77%) rather than for accessing production and market related information. Smallholder characteristics like age, faming experience, marital status, and household size significantly influenced farmers decisions and choices to adopt ICT and participate in markets. The study recommends improving the traditional extension through digital integration and farmer support by means of training on ICT and formal market linkages. These interventions can significantly market participation and profitability in smallholder poultry farming, stabilising rural economic development. Full article

The issues of income inequality and poverty are intrinsically linked and represent persistent global governance challenges. China faced significant hurdles, including absolute rural poverty and a widening urban–rural development gap. The “Targeted Poverty Alleviation” policy (TPA), implemented from 2014 onward, employed comprehensive measures, including household registration, industrial support, and skills training. By the end of 2020, this policy successfully eradicated absolute rural poverty under the prevailing standard, contributing a Chinese solution to global poverty reduction. Beyond addressing absolute deprivation, whether this policy has impacted relative rural poverty and urban–rural inequality remains a subject of debate in existing literature. Utilizing microdata from the China Family Panel Studies (CFPS) from 2014 to 2020, this study employs the Kakwani measure to measure relative deprivation levels, thereby identifying income disparities both within rural areas and between urban and rural regions. Combining empirical tools, including a Difference-in-Differences (DID) framework, Propensity Score Matching (PSM), and Entropy Balancing method, the analysis finds that the Targeted Poverty Alleviation policy significantly curbs income inequality both within rural areas and across the urban–rural divide. Further investigation reveals that this effect operates through three primary mechanisms: promoting diversified rural livelihoods, improving incomes for impoverished households, and bridging knowledge and information gaps. Heterogeneity analysis indicates that the inequality-reducing effect of the policy is more pronounced in non-major grain-producing regions, low-income provinces, and among vulnerable groups such as the elderly, low-income individuals, and women. This study addresses the lack of detailed micro-level measurement, deepens the explanatory analysis of mechanisms and heterogeneity, and provides a basis for formulating differentiated policies in line with the vision of common prosperity. Full article

In South Africa, both economic and social entrepreneurship have become a game-changing strategy for tackling enduring socioeconomic issues, including inequality, unemployment, and poverty. In contrast to conventional business models that put profit maximisation first, social entrepreneurship combines entrepreneurial tactics with social goals to develop long-lasting solutions for underserved populations. This study examines how social entrepreneurship can be used to address socioeconomic problems in South Africa, highlighting how it can promote inclusive growth and help achieve both national and international development objectives. The study illustrates how social companies use innovation and community participation models to overcome structural impediments such as youth unemployment, healthcare disparities, and limited access to education. It is based on a thorough evaluation of academic literature. The results show that social entrepreneurship fosters social cohesiveness and resilience in marginalised areas in addition to creating job and income opportunities. However, issues including weak finance, insufficient policy frameworks, and a dearth of capacity-building programmes make it difficult for social enterprises to grow and survive. In order to strengthen the social enterprise sector, the study’s conclusion suggests creating supportive ecosystems through impact investments, policy reforms, and educational initiatives. South Africa can expedite its efforts to reduce inequality and achieve sustained socioeconomic transformation by presenting social entrepreneurship as a strategic development tool. Full article

Electrification is vital for economic growth, poverty reduction, and improved quality of life. Over 80% of Afghanistan’s rural population lacks electricity. Despite increasing interest in decentralized energy systems, there remains a lack of site-specific studies that jointly assess the technical, economic, and policy feasibility of decentralized solar PV for rural electrification in Afghanistan. This study addresses that gap through a mixed-method case study of Syahgel, Ghazni, combining a household survey of 30 households, PVsyst-based system sizing, economic evaluation, and policy analysis. The study compares multi-tier Solar Home Systems (SHSs) with a community microgrid under local demand and affordability conditions. The results show that SHSs, with entry-level costs starting from USD 95, are more suitable for small, dispersed settlements, while microgrids remain relevant for larger or more concentrated communities. Financing mechanisms, including subsidies and interest-free loans, can improve affordability by up to 75%, while electrification can reduce annual fuelwood expenditure by approximately USD 51.5 per household and generate broader health, educational, and livelihood benefits. The findings highlight the need for integrated policy reform, targeted financial support, and context-sensitive system design to support sustainable and inclusive rural electrification in Afghanistan. Full article

A wide range of Leishmania species, transmitted by phlebotomine, cause leishmaniasis, which presents diverse clinical manifestations. Leishmaniasis has a high impact on vulnerable communities, primarily affecting people suffering from malnutrition or poor housing. Because leishmaniasis is associated with poverty, access to treatment is limited. In addition, high drug toxicity and therapeutic failure, related to drug resistance, remain major challenges. Therefore, there is a need to develop new therapeutic approaches that are safer and more effective. Drug combinations and repurposing are two strategies used in the development of treatments. The combination of drugs with different mechanisms of action can minimise resistance and allow dose reduction, increasing the likelihood of successful drug repurposing. This study evaluated the antileishmanial effects of combining antitumoral agents (paclitaxel and docetaxel) with standard drugs (miltefosine and paromomycin). Results demonstrated synergistic effects at higher doses. Furthermore, the antitumoral compounds enhanced the host immune response by promoting macrophage polarisation toward the M1 phenotype, essential for parasite control. These findings highlight a promising approach that could improve efficacy and reduce resistance. Full article

This study investigates the effect of digital financial inclusion on both inclusive growth and poverty in Emerging and Developing Economies (EMDEs). While previous research has examined the relationship between digital financial inclusion and inclusive growth or poverty, there is a notable gap in the literature regarding the indirect effect of digital financial inclusion on poverty through inclusive growth. Additionally, many existing studies have focused on specific countries, leaving a need for a cross-sectional analysis across various EMDEs, particularly in under-researched regions such as Central Africa, Southern Africa, West Africa, Oceania, and South-Eastern Europe. To address these gaps, this research employs panel data and the System-Generalized Method of Moments (GMM) as the main estimation technique, which provides robust and efficient estimates while addressing potential endogeneity. The study constructs a new digital financial inclusion index using the Principal Component Analysis (PCA) approach to enable consistent cross-country comparisons. The findings reveal that digital financial inclusion has a positive and significant effect on inclusive growth, indicating that as digital financial inclusion increases, inclusive growth increases as well. The results also demonstrate that inclusive growth has a negative and significant effect on poverty, suggesting that equitable economic expansion is a key driver of poverty reduction. These findings provide policymakers and governments in EMDEs with valuable insights, helping them prioritize investments and strategies that leverage digital financial inclusion to foster inclusive growth and alleviate poverty. Full article

Background: Tuberculosis remains a major global public health challenge. Mathematical models are essential for strategic planning and evaluation of tuberculosis control programs, while addressing socioeconomic risk factors has proven key to accelerating incidence declines. Therefore, this study quantitatively assesses the impact of socioeconomic interventions on tuberculosis incidence in Kazakhstan. Methods: A modified SIR compartmental model was developed in Python 3.12 to simulate tuberculosis transmission dynamics. Parameters were calibrated using the Nelder–Mead simplex algorithm, and predictive performance was evaluated via hold-out validation. Scenario-based projections were generated to explore the impact of socioeconomic improvements on future tuberculosis incidence. Results: The calibrated SIR model demonstrated strong predictive accuracy, achieving a mean absolute percentage error of 2.3%. The sensitivity analysis revealed that the model is robust to moderate socioeconomic perturbations, with healthcare funding and unemployment rate as the primary uncertainty drivers. Scenario simulations showed that enhanced financial assistance for tuberculosis patients produced the largest effect beyond baseline. Optimization results indicate that 7.4% rise in GDP per capita, 10.2% increase in healthcare funding, 23.1% and 19.1% reductions in poverty and unemployment rates, and 40.2% growth in tuberculosis patient financial support relative to 2024 are sufficient to achieve the WHO’s End TB Strategy 2030 target. Conclusions: The model offers a valuable tool for tuberculosis forecasting and intervention evaluation, highlighting the synergistic role of socioeconomic measures in achieving global elimination goals. Full article

Vietnam’s sustained poverty reduction has coincided with rising foreign direct investment (FDI) and a major shift from income-based to multidimensional poverty measurement, raising challenges for interpreting poverty dynamics and the role of FDI across regimes. This study examines the relationship between FDI and poverty reduction in Vietnam by accounting for poverty persistence, regional heterogeneity, and changes in poverty measurement. Using provincial panel data for 2002–2022 and a System GMM framework, three main findings emerge. First, poverty dynamics differ across measurement regimes: during the income-poverty period (2002–2016), poverty dynamics exhibited lower persistence and faster convergence, whereas under the multidimensional framework (2016–2022), poverty became more persistent and convergence slowed, reflecting the increasingly structural nature of remaining deprivation. Second, FDI is negatively associated with poverty under both measures, but its effects are conditional and uneven. Interaction effects indicate that the poverty-reducing impact of FDI depends on provincial income levels and initial deprivation, with weaker effects in provinces facing deeper multidimensional poverty. Third, higher FDI exposure is associated with greater poverty persistence, reflecting the spatial concentration of FDI in better-off regions rather than a poverty-increasing effect. The analysis is subject to limitations related to measurement regimes, and results are interpreted as conditional associations. Policy implications highlight that the poverty-reducing effects of FDI depend critically on investment quality, the strength of local production linkages, and complementary public spending, particularly in provinces facing persistent deprivation. Full article

The first global goal of the 2030 Sustainable Development Agenda (SDG 1) calls for addressing poverty as a condition produced through social vulnerability and environmental risk. This paper examines the relationship between vulnerability and poverty during concurrent drought and pandemic hazards in 2021 in the American Southwest, a context less studied in sustainability research. Drawing on disaster scholarship, we conceptualize the risk of poverty as the interaction of hazard exposure and social vulnerability. We construct a county-level dataset integrating environmental, epidemiological, and social indicators across Arizona, California, Colorado, Nevada, New Mexico, and Utah, identifying income inequality and residential segregation as key dimensions of vulnerability. Using child poverty as a measurement lens, we apply spatial mapping alongside Relative and Attributable Risk metrics to assess how drought intensity, pandemic burden, and structural vulnerability contributed to spatially uneven poverty outcomes under dual hazards. Results indicate that drought had a stronger effect than COVID-19, yet pre-existing vulnerabilities were more consequential, with income inequality outweighing segregation, suggesting that hazards are most damaging where social inequalities limit resilience. Interpreting the results through the Capability Approach, we posit that sustainable poverty reduction requires not just income support and hazard mitigation, but expansion of instrumental economic, social, and political freedoms that enhance individuals’ capabilities to navigate risk and pursue long-term well-being. Full article