Poverty Line Research Articles

Variations in Earned Income Tax Credit Allocation between the Program’s Eight Qualifying Categories

Abstract The Earned Income Tax Credit (EITC) has been an important anti-poverty program over the past five decades. Research shows that the EITC improves social and health outcomes. However, eligibility is not equitably allocated across the tax credit’s eight qualifying groups. This study examined this inequity while highlighting how it reflects and reproduces socially embedded deservedness narratives. The study investigated the federal poverty threshold (FPT) and EITC phase-out threshold data from 1994 to 2022. We assessed disparities in EITC disbursement amounts by exploring the percentage of EITC phase-out threshold relative to FPT differences between groups. The percentage showed how much a household’s income can exceed their FPT while still qualifying for the EITC. Over the study period, three of the eight EITC qualifying categories that included children were each eligible to receive an average greater than 200% (i.e., two times) their corresponding FPT while remaining EITC eligible (single one child, 229.12%; single two children, 225.77%; married one child, 215.77%). Married couples and individuals without children benefited far less, earning 118.30% and 111.38% of their FPT, respectively. The findings show that the outcome percentages dramatically vary between those with and without children. This disparity engenders a deservedness narrative, delineating who is deserving of receiving the credit. The EITC is unequally available and needs to be adjusted. Social workers should therefore advocate for policies that anchor the EITC phase-out threshold to at least 200% of the FPT for childless households, aligning it with the threshold for households with children.

Tourism Development Impact on Economic Growth and Poverty Alleviation in West Java

Poverty alleviation is on the agenda of regional development in West Java. One of the priority sectors is tourism development, which supports inclusive economic growth and is expected to address poverty. Through various unit analyses, the study analyzed how tourism development in West Java impacts economic growth and poverty alleviation. These included indicators such as the number of tourist visits, hotel room occupancy rate, the number of hotels and restaurants, average length of stay, and the tourism sector's contribution to Original Local Government Revenue (PAD). Economic growth was assessed using indicators such as Gross Regional Domestic Product (GRDP), unemployment rate, Gini Index, and regional investment value. In contrast, the poverty variable used the percentage and number of people living in poverty, poverty line statistics, Poverty Depth Index, and Poverty Severity Index. Inferential statistical analysis, specifically Partial Least Square (PLS), was conducted using a quantitative approach and data from BPS - Statistics of West Java. Hypotheses were formulated based on the literature review, asserting that tourism development significantly and positively impacted economic growth and poverty alleviation in West Java. Results showed that tourism development significantly boosted economic performance, directly influencing economic growth. Additionally, high economic growth correlated with reduced poverty rates, highlighting the importance of inclusive growth for alleviation. Key indicators played crucial roles in poverty alleviation, including the number of hotels and restaurants, the tourism sector's contribution to regional revenue, GRDP, and regional investment value. These findings provided valuable insights for policymakers and stakeholders to develop effective strategies for leveraging tourism potential to promote inclusive economic growth and alleviate poverty in West Java.

Modeling the Predictors of Poverty in Agricultural Households in Uganda: Application of Multilevel and Interaction Methods

This study aimed to model the predictors of poverty in agricultural households in Uganda. The study's specific objectives were to examine the effect of individual predictors of poverty and analyze the contribution of community predictors of poverty in agricultural households. The study utilized data from the Uganda National Household Survey (UNHS, 2019/20) obtained from the Uganda Bureau of Statistics. A sample of 13,732 households was randomly selected from the total weighted sample representation of 11.3 million households involved in agricultural activities. A logit model was used in the analysis and estimates were provided using multilevel and interaction methods. Key findings suggest that poverty in agricultural households was positively and significantly influenced by the gender of the household head, marital status of the household head, income stability of the household, age of the household head and livestock ownership. Additionally, regional differences accounted for 17.9 % of the variations in poverty levels in Uganda and understanding such regional differences and their influence on poverty levels can assist policymakers and organizations in designing targeted interventions and policies to reduce poverty levels among households. Such measures can address the specific challenges faced by different regions and promote more equitable development across the country. However, poverty in agricultural households was negatively and significantly influenced by residence status, savings account ownership and household size. Based on the study's findings, the key policy recommendations were that; the government should continue implementing gender-focused interventions to address gender disparities among women empowerment programs that involve access to resources including land, equal access to employment opportunities and equal access to education to reduce poverty among women. Regarding income instabilities in agricultural households due to price fluctuations, the government should empower farmers to form farmer groups where they can collectively increase their bargaining power to avoid price fluctuations.

Analisis Tingkat Kesejahteraan Rumah Tangga Petani Padi di Desa Cadaskertajaya Kecamatan Telagasari Kabupaten Karawang

Agricultural development in rural areas not only increases production, but also increases people's income, opens up more job opportunities, and improves welfare. This research aims to analyze farmer household income, farmer household expenditure, and the level of welfare of rice farmer households in Cadaskertajaya Village, Telagasari District, Karawang Regency. The research method used is Mix Method, with primary and secondary data types. Primary data was collected through interviews using questionnaires from 47 rice farmers. Secondary data was obtained from the Central Statistics Agency, Karawang Regency Agricultural Service, Cadaskertajaya Village, and other institutions. Samples were taken using the proportional random sampling method, with the criteria being farmer owners and farm workers. Data analysis uses the Directorate of Land Use's criteria poverty line for household income, the Sayogyo criteria poverty line for household expenditure, and welfare indicators from BPS. The research results show that the average household income of rice farmers in Cadaskertajaya Village is IDR 34,582,351.69 per year and IDR 8,124,446.81 per capita per year. The household expenditure of rice farmers is IDR 25,380,255.32 per year and IDR 8,413,937.59 per capita per year. Based on the poverty line criteria of the Directorate of Land Use, 53.19% of farmers are not poor, and according to the Sayogyo criteria, 82.61% are not poor. The welfare level is calculated using 11 indicators from BPS, with the highest score being 33 and the lowest score being 27, which is still included in the high welfare category.

Food vulnerability index for the development of the Mazahua community in the state of Mexico

The native peoples of the State of Mexico, especially the Mazahua community, present a high degree of marginality and food vulnerability, causing their inhabitants to be classified within the poor and extremely poor population. The objective of the research is to propose a food vulnerability index for the Mazahua community of the State of Mexico through the induction-deduction method, contrasting the existing literature with a semi-structured exploratory interview to identify the main factors that affect the native peoples. The study population was selected taking into account the number of inhabitants and poverty levels. The sources of information, in addition to documentary sources, were key informants and visits to Mazahua families that facilitated information about the different variables: natural, economic, social, cultural component, degree of adaptability and resilience for the creation and better understanding of the food vulnerability index in the communities under study.

The case for investment in nutritional interventions to prevent and reduce childhood and adolescent overweight and obesity in Peru: a modelling study

BackgroundBetween 2006 and 2016 the prevalence of overweight and obesity among children and adolescents aged 5–19 years in Peru increased from 22.7 to 27.0%. This investment case quantifies the economic impacts of childhood and adolescent overweight and obesity in Peru. It identifies and quantifies the potential impact of a set of new or expanded interventions that can strengthen current national efforts to prevent and reduce child and adolescent overweight and obesity.MethodsA deterministic Markov cohort model with a societal cost perspective estimated reductions in mortality and morbidity from implementing interventions to prevent and reduce child and adolescent overweight and obesity and the impact in savings in healthcare costs and gains in wages and productivity. Interventions identified through a review of published literature includes a school-based social marketing campaign, exclusive breastfeeding promotion and support, a healthy food and drink policy for school premises, and a 20% subsidy on fruits and vegetables for people living below the national poverty line. The return on investment (ROI) was calculated along with the estimated cost savings associated with the interventions. Analysis was conducted to test ROI sensitivity to changes in the key parameters and assumptions.ResultsBetween 2025 and 2092, the expected combined direct and indirect healthcare costs attributable to child and adolescent overweight and obesity in Peru are 210.6 billion USD. The direct healthcare costs are 1.8 billion USD, and the indirect costs are 208.8 billion USD. Expected savings for all interventions combined is 13.9 billion USD with a per-person savings of 12,089.8 USD. The expected ROI of the four interventions combined is 39.3 USD (30-years), 64.6 USD (50-years), and 164.1 USD (66-years) per one USD invested.ConclusionsThe overweight and obesity epidemic among children and adolescents in Peru requires wide-ranging and expanded implementation of policies to achieve long-term reductions in prevalence. This study’s findings show that the four priority interventions have high ROIs and can be used to guide policy to address the complex interplay of factors that contribute to the obesogenic environment.

Implementation of the UMKM Program in Poverty Alleviation di Desa Padengo Kabupaten Pohuwato

This research discusses the implementation of the Micro, Small and Medium Enterprises (UMKM) program in efforts to alleviate poverty in Padengo Village, Pohuwato Regency. Padengo Village is one area that still faces significant challenges related to poverty. In this context, the UMKM program is one of the strategies adopted by the Padengo Village Government to improve community welfare and reduce poverty levels. This research uses a qualitative approach by collecting data through in-depth interviews with various stakeholders, including government officials, UMKM business owners, and local community members. Data was also obtained through direct observation and documentation studies. The results of the research show that the implementation of the UMKM program in Padengo Village has had a positive impact on poverty alleviation efforts. These programs have encouraged local economic growth, created new jobs, and provided training and support for UMKM to improve their skills and productivity. However, this research also identified several challenges and obstacles faced in implementing UMKM programs, including bureaucracy complex issues, lack of access to capital and markets, and lack of understanding of the benefits and opportunities of the UMKM program among the community. Based on these findings, several recommendations are proposed to increase the effectiveness of the UMKM program in alleviating poverty in Padengo Village. Among other things, simplifying administrative procedures, increasing access to capital and markets, participatory approaches in program planning and implementation, as well as increasing public understanding and awareness of the importance of UMKM in overcoming poverty.

When the Bough Breaks: The Financial Burden of Childbirth and Postpartum Care by Insurance Type.

Out-of-pocket (OOP) costs related to childbirth and postpartum care may cause financial hardship, depending on type of insurance and income. We estimated OOP spending on childbirth and postpartum care and financial strain 1 year after birth, comparing Medicaid-insured births with commercially insured births. The Postpartum Assessment of Health Survey followed up with respondents to the Centers for Disease Control and Prevention (CDC) Pregnancy Risk Assessment Monitoring System after a 2020 birth in six states and New York City. The survey included questions on health care costs and financial well-being. Our analytic sample consisted of 4,453 postpartum people, 1,544 with a Medicaid-insured birth and 2,909 with a commercially insured birth. We observe significant financial hardship from childbirth that persists into the postpartum year, with significant differences by insurance and income. We find Medicaid is highly financially protective relative to commercial insurance; 81.4% of Medicaid-insured births were free to the patient, compared with 15.7% of commercially insured births (p < 0.001). Six of ten commercially insured births (59%) cost over $1,000 OOP. Among respondents reporting OOP costs for childbirth, we found that Medicaid enrollees are more likely to have borrowed money from friends or family to pay for childbirth (8% vs. 1%, p < 0.001) and one in five had not made any payments 1 year postpartum (26% vs. 5% of commercially insured births, p < 0.001). Among the commercially insured, those with incomes under 200% of the federal poverty level (FPL) fared worse financially than those above 200% FPL on a number of indicators, including debt in collection (33% vs. 13%, p < 0.001) and financial worry (55% vs. 34%, p < 0.001). The cost of childbirth and postpartum health care results in significant and persistent financial hardship, particularly for families with lower income with commercial insurance. Medicaid offers greater protection for families with low income by offering reduced cost sharing for childbirth and postpartum health care, but even minimal cost sharing in Medicaid causes financial strain.

Analisis Kinerja Badan Amil Zakat Nasional Kabupaten Siak dalam Mengentaskan Kemiskinan

According to BPS data, the poor population in Siak district in 2022 will be 25.71 thousand people or 5.07%. An important factor that can influence the level of poverty is income. A solution from an Islamic perspective to the problem of poverty is optimizing zakat. According to Law Number 23 of 2011 concerning Zakat, it is stated that zakat is to realize community welfare and overcome poverty. One of the institutions formed by the government to manage and distribute zakat, infaq and alms is the National Zakat Amil Agency (BAZNAS). The benchmark for the success of alleviating poverty through optimizing zakat is the performance of BAZNAS. This research analyzes the performance of the Siak Regency National Zakat Amil Agency in its efforts to eradicate poverty. This research has two approaches, namely qualitative and quantitative or mixed method. Data sources used in this research include primary data, secondary data, documents and archives and literature studies. Using interview, observation and questionnaire methods, the performance of BAZNAS Siak Regency can be known through the National Zakat Index 2.0 approach. The components of this index are macro dimensions and micro dimensions. The macro dimension reflects the role of the government and society in contributing to building zakat institutions and the micro dimension describes institutional governance and the impact of zakat. The research results show that BAZNAS Siak Regency in two macro dimensions and micro dimensions obtained good performance scores. The good performance of zakat institutions will influence the results of zakat collection, distribution and utilization programs. The influence of good performance will have a direct impact on mustahik in efforts to improve their welfare which will ultimately help the government in alleviating poverty. In this research, it was found that the impact of good BAZNAS performance for mustahik was materially an increase in income and asset ownership, spiritually in the form of increased worship and awareness of zakat.

Does escaping the multidimensional poverty line improve family food security? Evidence from rural Vietnam

BackgroundReducing poverty and ensuring food security are critical sustainable development goals for countries like Vietnam. However, research investigating the relationship between these goals remains limited. This study seeks to explore the correlation between poverty alleviation and food security in Vietnam's rural areas, offering insights for policymakers to address both objectives simultaneously.MethodsWe applied Vietnam's multidimensional poverty standard to determine if households classified as poor in 2016 had managed to escape poverty by 2018. We utilized the Household Dietary Diversity Score (HDDS) and per capita food expenditure to examine the consumption patterns and food security levels within these households. Panel data encompassing 407 low-income households, gathered from the 2016 and 2018 Vietnam Access to Resources Household Survey (VARHS), constituted the dataset for this study.ResultsAmong the 407 impoverished households in 2016, 244 achieved poverty alleviation by 2018. Their average monthly per capita income increased by 416.9 thousand Vietnamese Dong (17.8 USD) during this period, with wage income contributing significantly, rising by approximately 315.9 thousand Vietnamese Dong (13.4 USD) per person. Regression analysis reveals that as households escaped the multidimensional poverty line, they diversified food consumption and increased per capita food expenditure. However, the household dietary diversity score only increased by 0.166. Meanwhile, monthly per capita food expenditure surged by 85,600 Vietnamese Dong (3.63 USD) per person.Conclusions and policy recommendationsImplementing poverty eradication policies could achieve both poverty reduction and improved food security. Policymakers should focus on creating stable wage employment for poor households, as this income source significantly aids in poverty alleviation.

Factors associated with zero vegetable and fruit consumption among Tanzanian children

BackgroundProper nutrition during early childhood is essential for healthy growth and development, yet many children, particularly in low and middle-income countries, fail to meet recommended intake levels of fruits and vegetables. This study aims to assess the factors associated with zero vegetable and fruit (ZVF) consumption among children aged 6–23 months in Tanzania, using data from the 2022 Tanzania Demographic and Health Survey (DHS).MethodsA weighted sample of 4582 children aged between 6 and 23 months were included in the study. Data cleaning, coding, and analysis were performed using STATA version 17 software. To address the hierarchical nature of the DHS data and the binary outcome variable, a multilevel mixed-effect binary logistic regression model was used. The deviance value served as a guide for determining the best-fitting model. In the subsequent multivariable multilevel binary logistic regression analysis, adjusted odds ratios were computed alongside their respective 95% confidence intervals to evaluate the strength of association, with statistical significance set at a p-value below 0.05.ResultThe overall proportion of ZVF consumption among children aged 6–23 months in Tanzania was 48.34% (95% CI: 46.87, 49.81). Current breastfeeding status, maternal educational status, household wealth index, sex of the household head, and community poverty level were associated with higher odds of ZVF consumption. Meanwhile, child age, maternal employment status, father’s educational status, and media exposure were associated with lower odds of ZVF consumption.ConclusionChild age, current breastfeeding status, maternal educational status, maternal employment status, father’s educational status, household wealth index, sex of household, media exposure, and community poverty level were significantly associated with ZVF consumption. Efforts should focus on educating mothers about the early introduction of fruits and vegetables in children’s diets, alongside supporting breastfeeding. Tailored economic empowerment initiatives are needed in impoverished communities to improve access to nutritious foods.

The role of agriculture for achieving renewable energy-centered sustainable development objectives in rural Africa

Multi-dimensional and overlapping barriers to wellbeing severely affect many areas in rural sub-Saharan Africa. In the region, more than 90% of cropland is rainfed, less than one third of households have electricity, almost 60% of the population reports food insecurity, and more than 35% of the population lives below the international poverty line. Climate change impacts on vulnerable systems with limited adaptive capacity and strong population growth are increasing the magnitude of these challenges, slowing and potentially reversing development. Thus, there is a strong need for multi-sector interventions across multiple levels, from national policies, to regional and river catchment-scale planning, to local planning and investment. To implement such actions, it is key not only to assess technological solutions and their investment needs, but also to appraise their feasibility and implementation potential (from both a policy and a financial point of view). Here, we implement a modelling platform (RE4AFAGRI platform), which soft-links bottom-up process-based water and energy demand and techno-economic infrastructure assessment models (WaterCROP, M-LED, OnSSET) into a multi-node, national Nexus-extended Integrated Assessment Model (MESSAGEix-Nexus) for supply and investment assessment. The results of our analysis shed light on the role of water and energy demand in the agricultural sector for jointly affecting infrastructure and investment requirements for achieving rural sustainable development objectives. We find that scenarios with increased ambition in expanding irrigation and agricultural productivity result in improved diffusion and economic feasibility of infrastructure to provide universal energy access while supporting productive uses of energy. Moreover, we conduct business model analysis to appraise the framework conditions and micro and macro determinants that can ensure feasibility of investment and uptake of small-scale infrastructure, crucial for rural development. Altogether, our research demonstrates how integrated modelling with an explicit focus on Nexus interlinkages can represent the enabling role and the business conditions for renewable energy input in agriculture to become a leverage of rural sustainable development. In turn, important policy and investment-relevant insights can be derived.

Examining select sociodemographic characteristics of sub-county geographies for public health surveillance

BackgroundMapping health outcomes related to environmental health hazards at the county level can lead to a simplification of risks experienced by populations in that county. The Centers for Disease Control and Prevention’s National Environmental Public Health Tracking Program has developed sub-county geographies that aggregate census tracts to allow for stable, minimally suppressed data to be displayed. This helps to highlight more local variation in environmental health outcomes and risk data. However, we wanted to understand whether the aggregation method used was aggregating sociodemographically similar or dissimilar areas with one another. This analysis attempts to explore whether the distributions of select people who may be at increased risk for exposure to environmental health hazards as identified by the Tracking Program are preserved in these sub-county geographies with the census tracts used as the foundation to create them.MethodsMean values of three sociodemographic characteristics (persons aged 65 years and older, people from racial and ethnic minority groups, and population below the poverty level) for each sub-county geography in five states were calculated and placed into five break groups. Differences in break groups were determined and compared for each sub-county geography and census tract.ResultsThe sociodemographic characteristics among the census tracts and two aggregated sub-county geographies were similar. In some instances, census tracts with a low population or a highly skewed population (e.g., very high percentage of population aged 65 years and older) were aggregated with dissimilar census tracts out of necessity to meet the requirements set by the Tracking Program’s aggregation methodology. This pattern was detected in 2.41-6.59% of census tracts within the study area, depending on the sociodemographic variable and aggregation level.ConclusionsThe Tracking Program’s sub-county aggregation methodology aggregates census tracts with similar characteristics. The two new sub-county geographies can serve as a potential option for health officials and policymakers to develop targeted interventions using finer resolution health outcome and environmental hazard data compared to coarser resolution county-level data.

US Nonprofit Hospitals Have Widely Varying Criteria To Decide Who Qualifies For Free And Discounted Charity Care.

US nonprofit hospitals are required by law to have a charity care policy, but hospitals have significant discretion in determining specific eligibility criteria. Using a novel national database, this analysis revealed that nonprofit hospitals have chosen widely varying charity care eligibility guidelines. Among hospitals that offered free care, income limits ranged from 41percent to 600percent of the federal poverty guideline. Many hospitals considered assets when determining eligibility for charity care, and a significant minority also had residency requirements and restrictions for insured patients. Hospitals generally allowed charity care in cases of hardship, with a median cutoff of a given hospital bill being 20percent of the patient's income. Hospitals in counties with lower levels of poverty and uninsurance had more generous eligibility policies. The wide variation in requirements for hospital financial assistance poses barriers to equitable access to care.

School Poverty Level Moderates the Effectiveness of a Physical Activity Intervention.

To explore whether school poverty level and funding modified the effectiveness of an evidence-based Comprehensive School Physical Activity Program called Health Empowers You! implemented in elementary schools in Georgia. Secondary data analysis of a multi-level, cluster-randomized controlled trial. 40 elementary schools in Georgia in 2018-2019. 4th grade students in Georgia. Intervention schools implemented the Health Empowers You! program to increase school-day physical activity. The outcome was average daily moderate-to-vigorous physical activity, school free-reduced price lunch (FRPL) percentage and per pupil expenditures were effect modifiers. Separate linear mixed regression models estimated the effect of the intervention on average daily moderate-to-vigorous physical activity, with interaction terms between intervention status and (1) school FRPL percentage or (2) per pupil expenditures. The effect of the intervention was significantly higher in schools with higher FRPL percentage (intervention*school % FRPL β (95% CI): .06 (.01, .12)), and was modestly, but not statistically significantly, higher in schools with lower per pupil expenditures. Findings support the use of the Health Empowers You! intervention, which was effective in lower income schools, and may potentially reduce disparities in students' physical activity levels.

Impact of the Agricultural Sector on Unemployment, Inequality and Rural Poverty: A Panel Regression Analysis in Indonesian Provinces

This study examined how the agricultural sector impacted unemployment, income inequality, and rural poverty across Indonesia’s provinces from 2015 to 2021. Using data from the Central Bureau of Statistics (BPS) and a panel regression model, the research analyzed the relationships between these factors. It also explored the structural changes caused by the COVID-19 pandemic in 2020-2021. The findings showed that the agricultural sector’s Gross Regional Domestic Product (GRDP), farmer exchange rates, and informal labor significantly influenced unemployment and income inequality in rural areas. However, the pandemic did not have a major effect on income inequality or poverty levels in these areas. The GRDP and value-added in agriculture played a crucial role in reducing rural poverty. The findings also showed that the COVID-19 pandemic did not directly increase or decrease the number of poor people, but it affected informal agricultural workers due to physical distancing measures. The research highlighted the agricultural sector’s importance in addressing unemployment and inequality during the pandemic in Indonesia.

Trajectories of post-authoritarian transitions: A comparative interpretation of Chile and South Africa, 1990–2010

ABSTRACT This comparative study delves into the post-authoritarian transitions of Chile and South Africa between 1990 and 2010, with a particular focus on the neoliberal economic institutional trajectories that have shaped their development regimes. Employing elite interviews and documentary analysis, we unveil six mechanisms through which these institutional pathways are legitimised and perpetuated, providing a nuanced understanding of the role neoliberalism plays in economic policies and institutional transformations within democratic transition contexts. Despite economic successes marked by reduced poverty levels and GDP growth, both countries have sustained high levels of inequality, challenging the efficacy of neoliberalism in addressing structural inequality issues. Our findings contribute to the comparative sociology debate on neoliberalism in economic policies, offering insights into the complexities and challenges faced by Chile and South Africa during their democratic transitions. This analysis not only highlights the persistence of neoliberal economic structures but also sheds light on their implications for social equity. By comparing these distinct yet similarly challenged transitions, this paper aims to enrich the understanding of neoliberalism's impact on post-authoritarian societies, providing valuable lessons for other nations navigating the precarious path from authoritarianism to democracy.

Poverty and resilience impacts of conservation agriculture adoption against climatic-shocks in Eastern Ethiopia

The aims of this study are to analysis adoption and impacts of conservation agriculture on poverty and resilience to drought in Eastern Ethiopia. Multi-stage sampling method was employed and four districts were randomly selected from Eastern Hararghe Zone. Using cross-sectional survey data collected in 2023 from 430 households, multinomial endogenous switching regression was applied in impact evaluation. The result shows farm experience, education, climatic-shocks experience, access to climate information, access to extension, number of oxen, farm size, labor force, livestock and distance to market are determinants of conservation agriculture (CA) adoption in terms of inter-cropping, crop rotation and crop residue retention or mulch practices in its single and combination of practices. Poverty was evaluated based on cost-of-basic-need and resilience to drought is in its index. Accordingly, the food poverty line and total consumption expenditure or total poverty line was found to be 6582.7ETB and 8620.70ETB per Adult/Equivalent per year in the study area. Results of average treatment effect on treated shows adoption is significantly reduced poverty and increased resilience to drought condition in the area. The study also shows importance role of extension service in adoption of CA practices. There is a need to encourage extension facilities and awareness to promote better adoption of CA particularly, in its combination. The combination of practices increased consumption expenditure of adopters by 73.3 percent compared to non-adopters, given its significant impact on households’ poverty and resilience to drought in moisture stress area of eastern Ethiopia. So, it is crucial to more advances farmers and experts’ information on climate shocks and conservation agricultural practices adoption. The policymakers ought to develop and encourage farmers’ asset building plan including livestock, adult education, market linkage facilities, extension and weather related information delivery service to enhance adoption of conservation agricultural practices to combat the current and future drought.

Children with disabilities: Left behind or forgotten? Empirical evidence from Botswana using multidimensional poverty measures

The 2030 Agenda for Sustainable Development recognises the importance of multidimensional poverty and disability. Although there is compelling evidence suggesting that people with disabilities have a higher probability of being poor, studies that compare children with disabilities with those without disabilities remain scarce and limited to developed countries. Using the 2015/16 Botswana multi-topic household survey, we examined the link between childhood disability and multidimensional child poverty in Botswana. The study employs the conceptual framing of the capability and human rights-based approaches. Results reveal significant disparities in poverty levels between children with and those without disabilities across demographic, economic and geographical variables, with children with disabilities experiencing higher poverty levels than the rest of the children population. We conclude that children with disabilities in Botswana are left out and argue that deliberate efforts should be put in place to implement existing and develop new inclusive policies that ensure equal opportunities for children with disabilities in order not to be left behind. The paper provides policy implications for childhood disability and multidimensional child poverty research in Botswana.

Pengaruh Inflasi dan Pengeluaran terhadap Kemiskinan di Provinsi Jambi Tahun 2016-2018

This study analyzes the impact of inflation and govemment expenditure on poverty in Jambi Province during the period of 2016-2018. Using panel data and regression analysis, the study finds that simultaneously, inflation and govemment expenditure significantly affect poverty levels. However, individually, neither inflation nor govemment expenditure significantly impactpoverty ata 5% significance level. The model used has a coefficient of determination of 99.48%, indicating that the independent variables in this study can explain most of the variation in poverty levels. These results indicate that while the overall modelis is good, the individual effects of inflation and expenditure on poverty are not significant.