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Slum Growth in Brazilian Cities

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  • Alves, Guillermo

Abstract

I study slum growth in contemporary urbanization processes by estimating a spatial equilibrium model with houses with and without basic water and sanitation services in Brazilian cities between 1991 and 2010. Slum growth results from households moving to cities following higher wages (elasticity of 1.7), this movement impacting cities’ serviced housing rents much more (elasticity of 0.4) than unserviced ones (elasticity of 0.1), and these rent changes impacting households’ location decisions more for serviced (elasticity of -0.5) than for unserviced houses (elasticity of -0.4). I show that the effect of urban economic growth on cities’ slum incidence depends critically on what happens in other cities. When a few cities grow, they experience higher slum incidence because they are the focus for migrants coming from rural areas and less dynamic cities. When all cities grow, slum incidence declines in all cities as a result of two forces. First, each individual city faces less housing demand pressure as migration between cities becomes more balanced and rural migrants flow to all cities. Second, generalized economic growth improves households’ incomes nation-wide, allowing households to switch to higher quality non-slum housing. In terms of common slum policies, I show that the effects of slum repression on any individual city are mild and decrease with the number of other cities repressing slums. If all cities repress slums by making unserviced housing 20% more expensive, this lowers aggregate urbanization by 0.4% and low income households’ welfare by 1.1%. On the other hand, a generalized slum upgrading policy turning 10% of cities’ 1991 unserviced housing stock into serviced housing, increases aggregate urbanization by 1.1%, low income households’ welfare by 4.0%, and high income households’ welfare by 3.6%.

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  • Alves, Guillermo, 2016. "Slum Growth in Brazilian Cities," Research Department working papers 958, CAF Development Bank Of Latinamerica.
  • Handle: RePEc:dbl:dblwop:958
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    3. Yang, Xintong & Dong, Xin & Yi, Chengdong, 2022. "Informal housing clearance, housing market, and labor supply," Labour Economics, Elsevier, vol. 78(C).
    4. Brotherhood, Luiz & Cavalcanti, Tiago & Da Mata, Daniel & Santos, Cezar, 2022. "Slums and pandemics," Journal of Development Economics, Elsevier, vol. 157(C).
    5. Letrouit,Lucie Michele Maya & Selod,Harris, 2020. "Trust or Property Rights ? Can Trusted Relationships Substitute for Costly Land Registration in West African Cities ?," Policy Research Working Paper Series 9310, The World Bank.
    6. Per G. Fredriksson & Satyendra Kumar Gupta & Weihua Zhao & Jim R. Wollscheid, 2023. "Legal heritage and urban slums," Journal of Regional Science, Wiley Blackwell, vol. 63(1), pages 236-252, January.
    7. Picard, Pierre M. & Selod, Harris, 2023. "Customary Land Conversion in African Cities," IZA Discussion Papers 16462, Institute of Labor Economics (IZA).
    8. Cai, Yongyang & Selod, Harris & Steinbuks, Jevgenijs, 2018. "Urbanization and land property rights," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 246-257.
    9. Michelle S. Escobar Carías & David W. Johnston & Rachel Knott & Rohan Sweeney, 2022. "Flood disasters and health among the urban poor," Health Economics, John Wiley & Sons, Ltd., vol. 31(9), pages 2072-2089, September.

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    More about this item

    Keywords

    Investigación socioeconómica; Pobreza; Vivienda;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R13 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General Equilibrium and Welfare Economic Analysis of Regional Economies
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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