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Is there a metropolitan bias? The inverse relationship between poverty and city size in selected developing countries

Author

Listed:
  • Céline Ferré

    (World Bank)

  • Francisco H.G. Ferreira

    (World Bank)

  • Peter Lanjouw

    (World Bank)

Abstract

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.

Suggested Citation

  • Céline Ferré & Francisco H.G. Ferreira & Peter Lanjouw, 2011. "Is there a metropolitan bias? The inverse relationship between poverty and city size in selected developing countries," Working Papers 192, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2011-192
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    References listed on IDEAS

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    1. Ferreira, Francisco H. G. & Lanjouw, Peter & Neri, Marcelo Côrtes, 2003. "A Robust Poverty Profile for Brazil Using Multiple Data Sources," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 57(1), January.
    2. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    3. Martin Ravallion & Shaohua Chen & Prem Sangraula, 2007. "New Evidence on the Urbanization of Global Poverty," Population and Development Review, The Population Council, Inc., vol. 33(4), pages 667-701, December.
    4. Erzo F. P. Luttmer, 2005. "Neighbors as Negatives: Relative Earnings and Well-Being," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(3), pages 963-1002.
    5. Gabriel DEMOMBYNES & Chris ELBERS & Jean O. LANJOUW & Peter LANJOUW, 2008. "How Good is a Map? Putting Small Area Estimation to the Test," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 116(4), pages 465-493.
    6. Demombynes, Gabriel & Ozler, Berk, 2005. "Crime and local inequality in South Africa," Journal of Development Economics, Elsevier, vol. 76(2), pages 265-292, April.
    7. Tomoki Fujii, 2010. "Micro-Level Estimation of Child Undernutrition Indicators in Cambodia," The World Bank Economic Review, World Bank, vol. 24(3), pages 520-553, December.
    8. Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
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    Cited by:

    1. Luc Christiaensen & Ravi Kanbur, 2017. "Secondary Towns and Poverty Reduction: Refocusing the Urbanization Agenda," Annual Review of Resource Economics, Annual Reviews, vol. 9(1), pages 405-419, October.
    2. Luc Christiaensen & Joachim De Weerdt & Ravi Kanbur, 2017. "Cities, towns, and poverty: Migration equilibrium and income distribution in a Todaro-type model with multiple destinations," Working Papers 434, ECINEQ, Society for the Study of Economic Inequality.
    3. Christian Düben & Melanie Krause, 2021. "Population, light, and the size distribution of cities," Journal of Regional Science, Wiley Blackwell, vol. 61(1), pages 189-211, January.
    4. Toriqul Bashar & Salim Rashid, 2012. "Urban microfinance and urban poverty in Bangladesh," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 17(1), pages 151-170.
    5. Astrud Lea Beringer & Jutamas Kaewsuk, 2018. "Emerging Livelihood Vulnerabilities in an Urbanizing and Climate Uncertain Environment for the Case of a Secondary City in Thailand," Sustainability, MDPI, vol. 10(5), pages 1-22, May.
    6. Menashe-Oren, A. & Stecklov, G., 2017. "IFAD RESEARCH SERIES 17 - Population age structure and sex composition in sub-Saharan Africa: a rural-urban perspective," IFAD Research Series 280055, International Fund for Agricultural Development (IFAD).
    7. Emran, M. Shahe & Shilpi, Forhad, 2018. "Beyond dualism: Agricultural productivity, small towns, and structural change in Bangladesh," World Development, Elsevier, vol. 107(C), pages 264-276.
    8. Aktoty Aitzhanova & Shigeo Katsu & Johannes F. Linn & Vladislav Yezhov (ed.), 2014. "Kazakhstan 2050: Toward a Modern Society for All," Books, Emerging Markets Forum, edition 1, number kazakh2050, May.
    9. Mohajan, Haradhan, 2015. "Sustainable Development Policy of Global Economy," MPRA Paper 82815, University Library of Munich, Germany, revised 30 Mar 2015.

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    More about this item

    Keywords

    poverty and city size; urban poverty; slums.;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General

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