Urban Agglomerations and Employment Transitions in Ethiopia

The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.

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“…Kamei and Nakamura (2020) find a strong correlation between town population size and wage jobs, as opposed to self-employment jobs, in Ethiopia.…”

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confidence: 76%

Spatial Heterogeneity of COVID-19 Impacts on Urban Household Incomes: Between- and Within-City Evidence from Two African Countries

Batana¹,

Nakamura²,

Rajashekar³

et al. 2021

Policy Research Working Papers

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“…In 1999, the percentage of unemployed women was 17.3%, while the rate for men was 6.8%. The national unemployment rate for men and women was 4.3% and 12.5%, respectively, according to the Ethiopian Labor Force Survey report [5]. Similarly, the Ethiopian Labor Force Survey from 2005 indicates that the unemployment rate for men and women was 2.5 percent and 7.8 percent, respectively.…”

Section: Introductionmentioning

confidence: 98%

Spatial Distribution and Determinant Factor of Women's Unemployment Status in Ethiopia

Hirbo,

Kuse,

Asnakew

et al. 2023

Preprint

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Background: Those who are capable of working but do not have a job are said to be unemployed and are looking for compensation or profit. One of the biggest issues facing both developed and developing nations in the modern era is unemployment. Private and societal issues including prostitution, alcoholism, poverty, and an increase in crimes are all caused by unemployment. This study's primary goal was to characterize the geographic disparities in women's unemployment in Ethiopia. Techniques: The EDHS 2016 provided the dataset used in this investigation. Basic social and demographic information was included in the data. We used spatial analysis to find the geographical variation in our data. Findings: Of the 15683 women who participated in the study, 10011 (63.8%) are unemployed, and 5672 (36.2%) are employed in Ethiopia. in line with EDHS data from 2016. The Global Moran's I test results show that Ethiopian women's unemployment rates were either clustered or not random. Nearly the whole region of Afar and Somalia, southwest Tigray, north and west Oromia, and eastern and southern Amhara were identified as high-risk areas for women's unemployment status. Conversely, low-risk areas included Addis Abeba, eastern and central Oromia, Gambela, Dire Dawa and Hariri, nearly all Benshangul-bearing areas, and the eastern SNNPR. Conclusion: This study shows the regional cluster-level spatial distribution of women's unemployment status in Ethiopia. High outlier clusters were found to be more prevalent than low outlier clusters, according to the cluster and outlier analysis. The eastern regions of Tigray and Gambela, the central portion of Oromia, and the western portion of Benshangul Gumuz were the locations of these high outliers. However, low outliers were primarily discovered in Northern and Central Somalia, Eastern Afar, Eastern Amhara, Eastern and Northern part of Oromia, and Western Tigray.

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Spatial heterogeneity of COVID‐19 impacts on urban household incomes: Between‐ and within‐city analyses of two African countries

Batana,

Nakamura,

Rajashekar

et al. 2024

J of Intl Development

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This paper examines spatial heterogeneity in the impacts of the early days of the COVID‐19 pandemic on urban household incomes in Ethiopia and Kinshasa, Democratic Republic of Congo. Combining new panel household surveys with spatial data, the fixed‐effects regression analysis for Ethiopia finds that households in large and densely populated towns were more likely to lose their labour incomes in the early phase of the pandemic and afterwards than other households. Disadvantaged groups, such as females, low‐skilled, self‐employed and poor, particularly suffered in those towns. In Kinshasa, labour income‐mobility elasticities are higher among workers—particularly female and low‐skilled workers—who live in areas that are located farther from the city core area. The between‐ and within‐city evidence from two Sub‐Saharan African countries points to the spatial heterogeneity of COVID‐19 impacts, implying the critical role of mobility and accessibility in urban agglomerations.

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Urban Agglomerations and Employment Transitions in Ethiopia

Cited by 3 publications

References 25 publications

Spatial Heterogeneity of COVID-19 Impacts on Urban Household Incomes: Between- and Within-City Evidence from Two African Countries

Spatial Heterogeneity of COVID-19 Impacts on Urban Household Incomes: Between- and Within-City Evidence from Two African Countries

Spatial Distribution and Determinant Factor of Women's Unemployment Status in Ethiopia

Spatial heterogeneity of COVID‐19 impacts on urban household incomes: Between‐ and within‐city analyses of two African countries

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