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Is there a metropolitan bias ? the inverse relationship between poverty and city size in selected developing countries
 
Author:Ferre, Celine; Ferreira, Francisco H.G.; Lanjouw, Peter; Collection Title:Policy Research working paper ; no. WPS 5508
Country:Morocco; World; Date Stored:2010/12/21
Document Date:2010/12/01Document Type:Policy Research Working Paper
Language:EnglishMajor Sector:Education; Public Administration, Law, and Justice; Health and other social services
Rel. Proj ID:1W-Equity And Development Research Program -- -- P099861;Region:The World Region; Middle East and North Africa
Report Number:WPS5508Sub Sectors:Health; Other social services; General education sector; General public administration sector; Law and justice
SubTopics:Regional Economic Development; City Development Strategies; Rural Poverty Reduction; Subnational Economic DevelopmentTF No/Name:TF094629-KCP
Volume No:1 of 1  

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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