Spatial Heterogeneity of COVID-19 Impacts on Urban Household Incomes : Between- and Within-City Evidence from Two African Countries
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 labor incomes in the early phase of the pandemic, and their recovery was slower than other households. Disadvantaged groups, such as female, low-skilled, self-employed, and poor, particularly suffered in those towns. In Kinshasa, labor income-mobility elasticities are higher among workers—particularly female and/or low-skilled workers—who live in areas that are located farther from the city core area or highly dense and precarious neighborhoods. 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.
| Main Authors: | , , , , |
|---|---|
| Format: | Working Paper biblioteca |
| Language: | English |
| Published: |
World Bank, Washington, DC
2021-08
|
| Subjects: | ACCESSIBILITY, MOBILITY, URBAN LABOR MARKET, POVERTY, CORONAVIRUS, COVID-19, PANDEMIC IMPACT, LABOR MOBILITY, CONNECTIVITY, |
| Online Access: | http://documents.worldbank.org/curated/undefined/673551630347904909/Spatial-Heterogeneity-of-COVID-19-Impacts-on-Urban-Household-Incomes-Between-and-Within-City-Evidence-from-Two-African-Countries http://hdl.handle.net/10986/36227 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | 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 labor incomes in the early phase of the pandemic, and
their recovery was slower than other households.
Disadvantaged groups, such as female, low-skilled,
self-employed, and poor, particularly suffered in those
towns. In Kinshasa, labor income-mobility elasticities are
higher among workers—particularly female and/or low-skilled
workers—who live in areas that are located farther from the
city core area or highly dense and precarious neighborhoods.
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. |
|---|