Is There a Metropolitan Bias? The Inverse Relationship between Poverty and City Size in Selected Developing Countries
This paper provides evidence from eight developing countries of an inverse relationship between poverty and city size. Poverty is both more widespread and deeper in very small and small towns than in large or very large cities. This basic pattern i...
Main Authors: | , , |
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Format: | Policy Research Working Paper |
Language: | English |
Published: |
2012
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Subjects: | |
Online Access: | http://www-wds.worldbank.org/external/default/main?menuPK=64187510&pagePK=64193027&piPK=64187937&theSitePK=523679&menuPK=64187510&searchMenuPK=64187283&siteName=WDS&entityID=000158349_20101221161955 http://hdl.handle.net/10986/3992 |
Summary: | This paper provides evidence from eight
developing countries of an inverse relationship between
poverty and city size. Poverty is both more widespread and
deeper in very small and small towns than in large or very
large cities. This basic pattern is generally robust to
choice of poverty line. The paper shows, further, that for
all eight countries, a majority of the urban poor live in
medium, small, or very small towns. Moreover, it is shown
that the greater incidence and severity of consumption
poverty in smaller towns is generally compounded by
similarly greater deprivation in terms of access to basic
infrastructure services, such as electricity, heating gas,
sewerage, and solid waste disposal. The authors illustrate
for one country -- Morocco -- that inequality within large
cities is not driven by a severe dichotomy between slum
dwellers and others. The notion of a single cleavage between
slum residents and well-to-do burghers as the driver of
urban inequality in the developing world thus appears to be
unsubstantiated -- at least in this case. Robustness checks
are performed to assess whether the findings in the paper
are driven by price variation across city-size categories,
by the reliance on an income-based concept of well-being,
and by the application of small-area estimation techniques
for estimating poverty rates at the town and city level. |
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