Status and determinants of poverty and income inequality in pastoral and agro-pastoral communities

Teka, Araya Mebrahtu; Woldu, Gabriel Temesgen; Fre, Zeremariam

doi:10.4324/9781003203513-4

Cited by 4 publications

(3 citation statements)

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“…Access to road and model of transport used: The more a household has access to transport facilities, the better the access to markets and to public services, as well as to private service providers, ultimately leading to a lower chance of falling into poverty (Teka et al, 2019;World Bank Institute, 2005).…”

Section: Choice Of Variablesmentioning

confidence: 99%

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The effect of rural roads on consumption in Ethiopia

Anega

Alemu

2023

JED

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PurposeThis study empirically examines the impact of rural roads on consumption of households in Ethiopia.Design/methodology/approachBoth descriptive statistics and econometric techniques are used to address the aforementioned objective. Specifically, quantile regression, fixed- and random-effect models are used to understand the impact of rural road quality on welfare.FindingsThe econometric analysis revealed that improving the quality of rural roads and/or creating access to all-weather roads raises households' average real consumption per capita by as much as 10%. The other transport indicator – mode of transport – also has a positive effect on real consumption per capita. The result indicated that real consumption per capita for households using the traditional mode of transport would increase by as much as 7% compared to those using foot as a major mode of transport. However, the fixed quantile estimation result revealed that rural road access has a positive and significant effect on consumption per capita only for the 0.8th and 0.9th percentiles, indicating that the access to roads is not pro-poor.Research limitations/implicationsImproving rural roads to a level of all-weather road standards and provision of agricultural transport facilities should be strategic priorities.Originality/valueThis study provides empirical evidence pertinent to the effect rural mobility has on the consumption of households as well as the pro-poorness of such investments in rural settings.

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Section: Choice Of Variablesmentioning

confidence: 99%

“…Access to credit: Previous studies show that credit is positively associated with the welfare of households (Teka et al, 2019). Access to credit increases or helps households diversify income sources as an escape from poverty.…”

Section: Choice Of Variablesmentioning

confidence: 99%

The effect of rural roads on consumption in Ethiopia

Anega

Alemu

2023

JED

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“…Narrowing further to East Africa, we examine the unique dynamics and determinants of poverty within this specific region, which may differ from other parts of the continent. Binam 25 highlighted the importance of access to infrastructure and village resources, while Teka et al 26 emphasized the role of economic growth. Addae-korankye 27 added to this by identifying corruption, poor governance, limited employment opportunities, and poor resource usage as key factors.…”

Section: Introductionmentioning

confidence: 99%

Machine learning study using 2020 SDHS data to determine poverty determinants in Somalia

Hassan,

Muse,

Chesneau

2024

Sci Rep

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Extensive research has been conducted on poverty in developing countries using conventional regression analysis, which has limited prediction capability. This study aims to address this gap by applying advanced machine learning (ML) methods to predict poverty in Somalia. Utilizing data from the first-ever 2020 Somalia Demographic and Health Survey (SDHS), a cross-sectional study design is considered. ML methods, including random forest (RF), decision tree (DT), support vector machine (SVM), and logistic regression, are tested and applied using R software version 4.1.2, while conventional methods are analyzed using STATA version 17. Evaluation metrics, such as confusion matrix, accuracy, precision, sensitivity, specificity, recall, F1 score, and area under the receiver operating characteristic (AUROC), are employed to assess the performance of predictive models. The prevalence of poverty in Somalia is notable, with approximately seven out of ten Somalis living in poverty, making it one of the highest rates in the region. Among nomadic pastoralists, agro-pastoralists, and internally displaced persons (IDPs), the poverty average stands at 69%, while urban areas have a lower poverty rate of 60%. The accuracy of prediction ranged between 67.21% and 98.36% for the advanced ML methods, with the RF model demonstrating the best performance. The results reveal geographical region, household size, respondent age group, husband employment status, age of household head, and place of residence as the top six predictors of poverty in Somalia. The findings highlight the potential of ML methods to predict poverty and uncover hidden information that traditional statistical methods cannot detect, with the RF model identified as the best classifier for predicting poverty in Somalia.

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The effect of local climatic conditions on household consumption: a case study of South Africa

Mudzingiri,

Mudiriza,

Jana

et al. 2024

Humanit Soc Sci Commun

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The article explores the causal effect of local climate conditions on household consumption in South Africa. The climatic conditions are represented by monthly average temperature and precipitation. The study utilises the nationally representative 2017 National Income Dynamics Study (NIDS), wave 5 data and 2017 Climate Research Unit (CRU) climate data. The parsimonious quantile regression shows that climatic conditions (precipitation, temperature, wet days, and cloud cover) impact household per capita consumption. The quadratic quantile regression model analysis shows that household per capita consumption is convex in precipitation. Below the turning point, increased precipitation is associated with decreased household per capita consumption. Above the turning point, increased precipitation is related to increased household per capita consumption. Regions that receive very low precipitation or experience extreme temperatures (very cold or very hot) require tailor-made interventions to alleviate consumption. When we control for household characteristics, the impact of climatic conditions on household per capita consumption is weak. Providing inclusive development policies and programmes can mitigate the impact of climatic conditions on household per capita consumption.

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Status and determinants of poverty and income inequality in pastoral and agro-pastoral communities

Cited by 4 publications

References 0 publications

The effect of rural roads on consumption in Ethiopia

The effect of rural roads on consumption in Ethiopia

Machine learning study using 2020 SDHS data to determine poverty determinants in Somalia

The effect of local climatic conditions on household consumption: a case study of South Africa

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