Search Results (1,191)

The proposition that expanding education uniformly advances the 2030 Agenda is widely held in policy discourse—embedded in SDG 4, amplified by UNESCO, and routinely invoked in national development strategies. This paper shows that this proposition holds only partially. Using a balanced panel of 193 countries observed over 2000–2023, we estimate 96 two-way fixed-effects regressions connecting eight measures of education—spanning expenditure, enrolment, completion, attainment, and accumulated stock—to twelve Sustainable Development Goal outcomes. The estimates reveal a pronounced block asymmetry. On the social side, educational expansion is a robust correlate of progress against poverty: a one-standard-deviation increase in secondary enrolment is associated with a 0.16-log-point lower $2.15/day extreme-poverty headcount and a 4.35-point lower value on the 0–100 SDG-1 composite, both significant at p < 0.001. On the environmental side, the same education measure is associated with a coefficient of β = +0.048 (p = 0.014) on production-based CO₂ per capita and β = −0.260 (p = 0.031) on forest area—associations that are statistically significant but directionally perverse, though small in magnitude (approximately 0.05–0.26 SD on the standardised outcome). Higher schooling is also associated with higher within-country inequality (β = +0.71 on the Gini, p = 0.006). The asymmetry survives Driscoll–Kraay standard errors, Oster sensitivity bounds, and two-year lagged specifications. The findings qualify the optimistic narrative that frames education as a uniform instrument for sustainable development: schooling is a robust predictor of social-block progress, but appears insufficient on its own for environmental progress and is best understood as a complement to, rather than a substitute for, dedicated environmental policy. The 2030 architecture may benefit from differentiated instrument–goal pairs rather than reliance on any single instrument across all goals. Full article

Ecologically fragile areas typically overlap with impoverished zones, rendering them susceptible to a vicious cycle of ecological degradation and poverty aggravation. Reasonable and diversified ecological compensation methods are closely associated with improved livelihood resilience among rural households in sandy areas. Building on this, we take three leagues and cities in Inner Mongolia with severe sandy desertification as the study area. OLS regression and mediating effect models are employed to examine the impact of diversified ecological compensation methods on the livelihood resilience of rural households in sandy areas, as well as the underlying mechanisms and heterogeneity. The results demonstrate that (1) diversified ecological compensation methods exert a significant positive effect on the livelihood resilience of rural households in sandy areas; (2) perceived fairness and livelihood diversity mediate the association between diversified ecological compensation methods and the livelihood resilience of rural households in sandy areas; (3) the effects of diversified ecological compensation methods on the livelihood resilience of rural households in sandy areas vary significantly across compensation modalities, beneficiary groups, and regions. Specifically, capacity-building compensation exerts a significantly stronger effect than direct-transfer compensation; poverty-alleviated households benefit more than general households; and the effects are significantly stronger in western Inner Mongolia than in eastern Inner Mongolia. Therefore, in optimizing ecological compensation policies in sandy areas, it is suggested to enhance the embedding depth of industrial and technical compensation, and to explore differentiated compensation pathways based on regional market capacity and household group characteristics, thereby promoting sustainable livelihood development for rural households in sandy areas. Full article

Small rural businesses face significant challenges due to geographical constraints, transportation costs, small market size, and low population density. On top of that, the energy crisis that arose after the start of the 2022 Russia–Ukraine war and the sanctions imposed by the EU and the US have created a stifling energy environment. The latter has exposed the businesses to the risk of energy poverty. The current study examines energy poverty within three business sectors that are prominent in the Greek countryside. These are entities firstly involved in the processing, manufacturing, and standardization of agricultural products; secondly, involved in the trade of agricultural products; and lastly, certain businesses operating in the tourist area. More specifically, this research examines the energy needs and energy obligations of these businesses as well as the energy efficiency of their facilities by simultaneously exploring the impact of European and national energy policies on addressing energy poverty in rural micro-businesses. To detect the opinions, experiences, perceptions, estimations, and expectations of entrepreneurs who maintain these businesses in rural areas, a qualitative approach was adopted utilizing personal in-depth interviews. Overall, fifteen micro-entrepreneurs were interviewed. Findings revealed that energy costs for rural businesses are becoming a major issue for their survival. Moreover, they have a substantial effect on their operational costs, exceeding other expenses and leading to an increase in energy poverty. These findings have also been confirmed by statistical data. Energy costs for small businesses range from 15% to 35% depending on the business, and during peak periods or crises, they exceed 40%. In addition, fees and taxes account for over 40% of electricity bills. Full article

Against the backdrop of increasingly stringent natural forest protection and comprehensive logging bans, forest-dependent regions confront structural constraints between ecological conservation and economic development, necessitating the exploration of alternative livelihood pathways and collaborative governance mechanisms. As a cross-regional institutional synergy arrangement, the “Poverty-Relief Enclave” model integrates factor resources and industrial platforms, thereby offering a new trajectory for income source transformation and industrial succession in forest areas. However, its operational process entails multi-agent interactions and complex incentive and constraint relationships, and the stability of cooperation still warrants systematic investigation. In light of this, this paper constructs a quadripartite evolutionary game model encompassing the host government, the home government, the forest region industrial alliance, and the village collective. Within a bounded rationality and dynamic evolutionary framework, it analyzes the multi-agent strategic evolution process and its stability conditions. The findings reveal that the “Poverty-Relief Enclave” model in forest regions does not spontaneously converge to a high-level cooperative state; rather, three types of stable equilibria may emerge under varying cost–benefit structures and institutional incentives. An ideal state of multi-agent synergy is attainable only under conditions of incentive compatibility. Coordinated supervision by both governments, incentives for high-quality production by industrial entities, and guaranteed participation of village collectives are identified as pivotal factors shaping cooperation stability. The cross-regional institutional arrangement facilitating the “outward shift of income sources” helps alleviate pressure on direct forest resource utilization and fortifies the institutional enforcement foundation through grassroots participation mechanisms. From the perspectives of forest governance and multi-agent collaboration, this study unveils the intrinsic operating mechanism of the “Poverty-Relief Enclave” model in forest regions, thereby furnishing a theoretical underpinning for sustainable transformation and institutional innovation in forest-dependent areas. Full article

Rural e-commerce is reshaping agricultural markets, yet its environmental consequences remain insufficiently understood. This study examines how the Rural E-commerce Comprehensive Demonstration (RECD) program affects agricultural carbon outcomes in China. Using a balanced panel of 2152 counties from 2010 to 2022, we employ a multi-period difference-in-differences (DID) model to identify the effect of the RECD policy. The results show that the RECD policy significantly increases total agricultural carbon emissions. Evidence for production expansion and production restructuring suggests that improved market access and stronger price incentives encourage output expansion and a shift toward more market-oriented production, thereby raising aggregate emissions. At the same time, the RECD policy significantly reduces the carbon emission intensity and improves the carbon emission efficiency, indicating better carbon performance per unit of agricultural output. Further analysis shows that this dual result reflects the coexistence of efficiency gains and scale expansion, with the scale effect dominating the technical effect at the current stage. The emission-increasing effect is more pronounced in balanced agricultural areas, poverty-designated counties, counties with weaker initial e-commerce foundations, and counties with higher initial emission levels, while stronger environmental regulation and green technological innovation significantly mitigate this effect. In addition, the RECD policy generates spillover effects on neighboring counties within 50 km. These findings provide empirical evidence on the effects of the RECD policy on agricultural carbon emissions and offer policy guidance for integrating rural e-commerce policies with low-carbon agricultural transformation. Full article

Period poverty, defined as difficulty affording menstrual products, is increasingly recognized as a basic needs issue among students in the United States. However, evidence on the prevalence and awareness of this phenomenon among both undergraduate and graduate populations remains limited. Therefore, the aim of this descriptive cross-sectional study is to describe period poverty experiences and awareness levels among menstruating college students at a public university in South Florida. An online survey was administered to menstruating undergraduate and graduate students (n = 151). Period poverty was assessed using a past-year affordability question, while awareness of period poverty was measured descriptively through seven items derived from a previous study on period poverty in U.S. college students. Overall, 13.9% of respondents reported past-year period poverty. Awareness of period poverty was limited, despite high support for policies providing free menstrual products. Only 16.67% perceived period poverty to be highly prevalent in developed countries, and only 8% believed that it existed in their local area. Three fourths (75.00%) of the sample strongly supported policies to provide free menstrual products. Finally, over half of the respondents felt “not at all embarrassed” (55.07%) towards buying menstrual products, while just over one fourth reported being “fairly embarrassed” (28.26%). The discrepancy between the number of students experiencing period poverty and the levels of awareness of the issue shows a clear need for evidence-based educational interventions and menstrual resources on college campuses to improve overall menstrual well-being. Full article

Translating fine-resolution air pollution surfaces into health equity assessments requires aggregating exposure to administrative units, yet the equity implications of this choice are rarely tested. This study links annual 300 m nitrogen dioxide (NO₂) surfaces from the New York City Community Air Survey (2009–2023) with childhood asthma emergency department (ED) visit rates across 42 neighborhoods, comparing area-weighted, population-weighted, and residential-weighted aggregation throughout. Strong spatial convergence was observed in both NO₂ and ED burden (Pearson correlations between 2009 baseline levels and Theil–Sen slopes of −0.96 and −0.95). Panel first-difference estimation yielded a significant within-neighborhood association between NO₂ decline and ED rate decline (coefficient 0.022, p-value below 0.05). The most deprived fifth of neighborhoods received 47% of the total avoided ED burden, four times the share of the least deprived fifth. However, NO₂ reductions were nearly equal across poverty quintiles. The pro-poor distribution of health benefits was driven by baseline health inequality, not by differential pollution reduction. The three aggregation methods produced near-identical results for all metrics because within-neighborhood exposure variability was uncorrelated with poverty (r = −0.14). In cities where baseline disease burden is concentrated in disadvantaged communities, broad-based air quality improvement may contribute to pro-poor health gains without targeted intervention. Full article

As a policy-driven land use transition initiative bridging poverty eradication and sustainable development, China’s Poverty Alleviation Relocation (PAR) program exemplifies how state-led resettlement can reconfigure land use patterns while balancing immediate livelihood security with long-term community capacity development. The integration of large-scale PAR communities into new urbanization is a critical postrelocation task that is essential for consolidating poverty eradication achievements and enhancing endogenous development capacity. This study examined how the configuration of policy instruments shapes the endogenous development capacity of PAR communities during their transition to new urbanization. Employing a “tool–goal” analytical framework, we conducted a content analysis of 38 provincial-level policy documents (2021–present) using NVivo 20 software. The findings reveal that while local governments have established a preliminary policy system, structural imbalances persist: (1) uneven deployment of policy tools, (2) underutilization of demand-based policy tools, (3) tool–goal misalignment, and (4) insufficient market/societal participation in government-led measures. The discussion further reveals that the land use transition in the PAR program emphasizes the “living mode” (housing and public services) over the “livelihood mode” (productive resources and nonagricultural employment), creating structural dependency and leaving industrial land underutilized—as evidenced by weak policy support for industrial development (14.83%) and labour outmigration from resettlement areas. Drawing on the sustainable livelihoods framework, we further demonstrate how this exogenous-dominated policy mix disproportionately enhances physical and financial capital while constraining the accumulation of human and social capital—the very foundations of endogenous development capacity. To address these issues, we propose three key recommendations: (1) optimizing the policy mix to strengthen the endogenous development capacity of PAR communities; (2) realigning policy tools with objectives to achieve diversified yet coordinated goals; and (3) addressing implementation gaps to better leverage market mechanisms and social forces in promoting the sustainable urban integration of resettlement areas. Full article

The rural collective property rights system reform (RCPRSR) is a pivotal institutional innovation for revitalizing rural resources, optimizing factor allocation, and advancing urban–rural integration—a core goal of sustainable land use planning. This study evaluates the reform’s impact on county-level urban–rural integration using panel data from 1106 Chinese county-level administrative units during 2013–2020. Treating the staggered rollout of reform pilots as a quasi-natural experiment, we employ a multi-period difference-in-differences approach. The results show that the RCPRSR significantly promotes urban–rural integration, a finding robust to a series of sensitivity checks. The policy effects exhibit marked heterogeneity: the dividends of narrowing the urban–rural development gap are more pronounced in poverty-stricken counties and areas with lower baseline integration levels. Mechanism analysis reveals two pathways—population agglomeration and industrial structure optimization—through which the reform operates, specifically manifested as enhanced county population carrying capacity, accelerated tertiary industry development, and deepened secondary–tertiary industrial integration. These findings provide empirical evidence for optimizing rural property rights reform and advancing sustainable urban–rural development. Full article

This study examines the multidimensional nature of poverty and its underlying local determinants within the Suri Sadar Sub-Division of Birbhum District, Eastern India, an area marked by sharp ecological and socio-economic contrasts. Adopting a mixed-method approach, the research integrates primary household survey data (2024-25) with secondary spatial datasets to construct a comprehensive analytical framework. The extent and intensity of multidimensional poverty were measured using the Alkire–Foster (AF) method, while the determinants were identified through a Binary Logistic Regression model. Findings reveal that multidimensional poverty in the region is deeply rooted in the intersection of human, environmental, and spatial factors rather than mere income deprivation. Approximately 26.8 per cent of households were found to be multidimensionally poor, with the western plateau blocks, i.e., Rajnagar, Khoyrasole, and Md. Bazar, showing the highest deprivation levels. Spatial poverty drivers include education, agriculture, and gender equality improvements. Policy implications emphasise the need for geographically tailored, multi-sectoral interventions that focus on human capability, investing in infrastructure, and promoting gender-inclusive development. By elucidating the localized dynamics of poverty, this research contributes to the broader discourse on spatial inequality and sustainable development in rural Eastern India, offering actionable insights for evidence-based regional planning and targeted poverty alleviation. Full article

Purpose: Purchased/Referred Care Delivery Area (PRCDA) counties are those where resident American Indian and Alaska Native (AIAN) people are eligible for Indian Health Service care. Due to concerns about racial misclassification, cancer statistics for AIAN people are often restricted to PRCDA counties. Differences in sociodemographic characteristics may exist between PRCDA and non-PRCDA counties, but have not been described; therefore, the potential selection bias associated with the restriction to PRCDA counties remains unknown. Methods: We used data from the University of California, San Francisco Health Atlas to explore ecological differences in county-level demographic, socioeconomic, healthcare access, and health outcomes data between PRCDA and non-PRCDA counties (n = 3152 counties). We tested for statistical differences in mean levels of demographics between PRCDA and non-PRCDA counties using Pooled or Welch t-tests. Results: We observed small, but statistically significant differences between PRCDA and non-PRCDA counties in county-level demographic and socioeconomic characteristics (age, poverty, utility services threat, unemployment, educational attainment, computer access, and median income), neighborhood and environment characteristics (overcrowding, severe mortgage/rent burden), healthcare access and utilization (uninsured, annual checkup, annual dental visit, mammography, binge drinking, smoking, physical inactivity, social isolation), and health outcomes (poor mental health, arthritis, poor self-rated health, high blood pressure, diabetes, high cholesterol, and obesity). Conclusions: These results indicate variability in county-level measures between PRCDA and non-PRCDA counties. While these data do not speak specifically to AIAN peoples’ experiences, they provide critical contextual information to understand how exclusion of AIAN people residing in non-PRCDA counties from cancer statistics may bias risk estimates. Full article

Rapid urbanization has aggravated challenges in sustaining the peri-urban rice farming sector. Challenges arising from rapid urbanization threaten rice farmers in peri-urban areas because of increasing economic and land pressures. This has caused significant marginalization among rice farmers. In Indonesia, despite contributing 13.28% of the national gross domestic product (GDP) in 2021, the agricultural sector is dominated by marginal farmers who struggle with poverty and lack land ownership. This study aims to identify different pathways for the marginalization of rice farmers by integrating spatiotemporal land use and land cover (LULC) change analysis, landscape fragmentation metrics, and systems thinking (ST) through causal loop diagrams (CLDs). Furthermore, an attempt to reconceptualize the term marginal rice farmers is made by considering the total number of cultivated rice fields and broader factors that contribute to the feedback loop of marginalization. This study shows that rice farmer marginalization in peri-urban areas is caused by small land size or poverty, and the interactions between ecosystem service degradation, productivity decline, economic pressure, and land conversion differ across landscape configurations. Moreover, this study enhances the understanding of peri-urban agricultural transformation and provides landscape-sensitive policy insights to support inclusive and resilient agricultural systems by reconceptualizing the marginalization of rice farmers as a dynamic socio-spatial process. Full article

Energy poverty, as an emerging form of poverty, is key to consolidating the achievements of poverty alleviation and is also an important cornerstone for promoting energy transformation, social equity, and people’s well-being. Based on data from the China Family Panel Studies (CFPS) for 2018 to 2022, we use the head of household’s subjective happiness to proxy for family happiness. Using a two-way fixed-effects model, we analyze the impact of energy poverty on family happiness and its mechanism from the theoretical and empirical aspects. The conclusions are as follows: (1) Energy poverty has a significant negative impact on family happiness, and the estimated results of instrumental variables after solving endogeneity are consistent. (2) Heterogeneity analysis finds that for families with relatively advantaged economic conditions, such as non-relatively poor families, urban families, and families with no loans, energy poverty significantly reduces their happiness, which contradicts our conventional understanding. (3) Mechanism analysis shows that energy poverty affects income gaps, health status, and economic status, which in turn affect family happiness. The respective percentages coming from the mechanisms of income gap, health status, and economic status are 43.31%, 26.11%, and 9.55%. We directly link energy sustainability, a core area of sustainable development, with residents’ well-being. It fills the systematic research gap on how energy poverty affects household happiness and deepens our understanding of its underlying transmission mechanism. Furthermore, it enriches research on the implementation pathways of energy policy and common prosperity, broadens the boundaries of research in energy economy and social welfare, and provides important practical implications for advancing energy inclusion and rural revitalization within the sustainable development framework. Full article

Background: Older adults (aged 65 and older) faced a disproportionate burden of mortality during the COVID-19 pandemic, yet substantial geographical and sociodemographic disparities in vaccine uptake persisted within this vulnerable population. Objective: To examine the temporal dynamics of COVID-19 vaccination rates among older adults and investigate the association between vaccination uptake and neighborhood-level social determinants of health (SDOHs), including disability and poverty. Methods: COVID-19 vaccination data for older adult residents in Jefferson County, Kentucky, were obtained from the Kentucky Immunization Registry (KYIR). ZIP-code-level vaccination rates were calculated at three time points: 28 February 2021 (Q1), 31 May 2021 (Q2), and 31 May 2022 (Q6). The rates were linked to 2021 American Community Survey (ACS) ZIP code-level estimates of disability, poverty, and household composition. Two-dose COVID-19 vaccination rates stratified by race, ethnicity, and geographic region were used as outcome measures. Pearson correlation coefficients, bivariate, and multivariate linear models were used to estimate the association between COVID-19 vaccination rates and the SDOHs at the ZIP code level. Results: Among the estimated 139,222 older adults, overall two-dose vaccination rates rose from 22.4% in Q1 to 77.5% by Q6. Significant regional disparities were observed early in the campaign, with Q1 rates ranging from 12.6% in the Southwest to 35.4% in the Inner East county regions. Bivariate analyses showed ZIP-code-level disability and poverty rates were negatively associated with ZIP-code-level vaccination uptake in Q1 (disability slope: −0.38; 95% CI, −0.63 to −0.13; poverty slope: −0.36; 95% CI, −0.65 to −0.07). By Q6, the negative association between disability and vaccination had weakened significantly and was no longer statistically significant, while the negative association between poverty rate and vaccination rate remained persistent across all time points. Conclusions: The disability-associated gaps in older adults’ vaccination rates were dynamic and narrowed over time, whereas the poverty-associated gaps remained persistent and static. The low uptake observed among Black and Hispanic older adults in historically underserved areas suggests that understanding the specific factors that most negatively associate with vaccination rates in these populations, such as specific disabilities, may mitigate structural barriers. Future public health interventions should prioritize socioeconomically disadvantaged neighborhoods and account for the evolving association of functional impairments and healthcare access. Full article

The return to in-person classes after the COVID-19 pandemic revealed an increase in physical violence among students of secondary school. This article examines the role of the school as a setting that enables students to learn how to coexist with others. Based on an educational qualitative research study conducted in two state-run schools in the Metropolitan Area of Buenos Aires, located in urban poverty contexts, it investigates the effects of COVID-19-induced isolation on school coexistence. The fieldwork involved participant observation, interviews, and analysis of student productions during school workshops. Students and teachers were selected through purposive sampling. The working hypothesis posits that learning to coexist involves not only dealing with conflicting situations but also the need to verbalize them, a practice that schools actively foster. The findings show that, by providing a place where time and space are shared, the school acts as a key mediator, where students’ physical and verbal interactions become essential to reconfiguring relationships among classmates. The study concludes that the school plays a decisive role in transforming conflict into voiced experience, replacing physical aggression with meaningful narratives. Full article