Slum growth in Brazilian cities

Alves, Guillermo

doi:10.1016/j.jue.2021.103327

Cited by 21 publications

(15 citation statements)

References 56 publications

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“…In other words, cities with higher shares of slums and less unavailable land experience a higher supply elasticity (lower inverse supply elasticity) in the housing market. This finding is consistent with Alves (2021), who finds a lower inverse supply elasticity for unserviced houses in Brazil. Excluding regional dummies (column 5) does not lead to any meaningful changes in the coefficient estimates.…”

Section: Housing Supply Estimation Resultssupporting

confidence: 91%

“…We find that inverse elasticities vary from 0.35 to 1.81, which implies a wide range of responses to similar demand shocks. Our average inverse elasticity estimates are higher than recent evidence for Brazil (Alves, 2021), France (Combes et al, 2019), and the US (Saiz, 2010), implying more pronounced price responses to demand shocks. In order to put these effects into perspective, we consider the predicted price increase over the next ten years implied by the demand shift from demographic pressure.…”

contrasting

confidence: 91%

“…Here we are interested in exploring how different patterns on urban land use and geographical determinants explain the variation in housing supply elasticities in the cross-section of cities for a large developing country. In this respect, our paper relates to Alves (2021), that develops a model of slum growth and estimates separate supply elasticities for serviced and unserviced houses in Brazil, but abstracts from the interplay with geographical constraints.…”

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confidence: 99%

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Housing Supply in the Presence of Informality

Sant'Anna¹,

Iachan²,

Guedes³

2021

Preprint

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We study housing supply in markets where informal housing is common. Using a combination of census and satellite data, we estimate housing supply for more than 90 metropolitan areas in Brazil. We find that widespread informal housing increases the housing supply elasticity, partially offsetting the downward pressure of geographical constraints. Our empirical approach is guided by a monocentric city model that includes informal housing. Our identification strategy relies on the use of two novel instruments, combining demographic data and public land ownership. We use the supply elasticity estimates to forecast the response of future housing prices to natural population growth.

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Section: Housing Supply Estimation Resultssupporting

confidence: 91%

contrasting

confidence: 91%

mentioning

confidence: 99%

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Housing Supply in the Presence of Informality

Sant'Anna¹,

Iachan²,

Guedes³

2021

Preprint

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“…Unintentionally, majority of these policies reinforced the apartheid spatial structure in postapartheid South Africa (Khan, 2014). Scholars has proven that many of these policies were detrimental to housing development (Levenson, 2012), didn't take into account the scale of the housing problem (Björkman, 2013), and moreover mismatch resulting to the growth and expansion of informal settlements in places of economic opportunity (Ren, 2018), as evidence in many countries and cities despite housing delivery, South Africa, India and Brazil being prime examples (Alves, 2016).…”

Section: Access To Housing and Development In South Africamentioning

confidence: 99%

The use of Mixed-Income Housing Development to Address Poverty and Inequality, Based on Delphi Empirical Approach: A Case of South Africa

Onatu¹,

Baloyi²

2020

Proceedings of ‏The 4th International Academic Conference on Humanities and Social Sciences

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Since the dawn of democracy in 1994, the Republic of South Africa (RSA) has been trying to address the aftermath and consequences of the apartheid regime. This comprises of the socioeconomic, spatial, and political challenges that have persisted over the decades. These have had far reaching repercussions in the society to the extent that 25 years later after apartheid, the country finds itself with alarming rates of poverty, social exclusion, unemployment, and inequality. Literature has revealed that there is a direct relationship between poverty and inequality as well as access to socio-economic services / opportunities. Poor access to these services perpetuates exclusivity and thus inequality and marginalisation in all form and character.The purpose of this study is to investigate how housing developments have been used in South Africa to address poverty and inequality. The aim is to understand how to plan for better and more socially and economically thriving communities through housing development, focusing specifically on aspects of development that contributes to addressing poverty and inequality.Using a Delphi three round method of Inquiry of 20 experts, perceptions from a diverse panel of experts about mixed-income housing development were uncovered. In comparison to previous housing models, the study uncovered a significant paradigm shift in housing development and what a housing intervention should achieve. Since 2004 after the introduction of the Breaking New Ground Policy (BNG), the housing development approaches, and interventions have shifted away from just providing roof over once head to providing social asset to the poor and a whole range economic opportunities. The conclusion is that housing development by virtue of location, diverse housing typologies and tenure options is now part and parcel of integrated planning and the pro poor development agenda.

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“…We add to some recent papers studying the costs of agglomeration (e.g., Combes et al (2019) ) by explicitly taking into account externalities of physical proximity in the context of a pandemic. Second, we add to the strand modeling the causes and consequences of slums (e.g., Alves, 2021 , Brueckner and Selod, 2009 , Monge-Naranjo et al, 2018 , Cavalcanti et al, 2019 and Henderson et al (2021) ) by taking into account the externalities of slums during disease outbreaks.…”

Section: Introductionmentioning

confidence: 99%