El componente demográfico de las necesidades habitacionales urbanas en América Latina: el caso de Buenos Aires

Marcos, Mariana; Cabrerizo, Juan Antonio Módenes

doi:10.5565/rev/dag.665

Cited by 3 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Summarizing, Latin America mainly results in (a) an analysis of housing policies over the last decades [16,19,20], (b) a comparative analysis between countries in the region or between developed and developing countries [28,41], (c) an analysis of the relationship between housing production and urban public utilities [25,26], (d) a review of the spatial characteristics of informal housing and qualitative deficit [18,[42][43][44], and (e) an analysis of the relationship between social housing production and urban poverty reduction [21][22][23]27].…”

Section: The Role Of Low-income Housing In the Building Housing Sectormentioning

confidence: 99%

The Effects of Economic Sector GDP on Low-Income Housing Supply, Colombia’s Regions Case

Urazán-Bonells,

Rondón-Quintana,

Caicedo-Londoño

2024

Buildings

View full text Add to dashboard Cite

The regions with the best economy have a greater capacity to develop low-income or social-impact housing, thus contributing to the reduction of poverty and, therefore, to the fulfillment of Sustainable Development Goals. This is observed in fewer people living in extreme poverty and with fewer unmet basic needs. This present article analyzes the correlation between the development in the main economic sectors in different regions (departments) of Colombia and the supply of low-income housing. Nevertheless, the most remarkable relation that was found was between the economic development of the regions (GDP) and the supply of non-social housing (more expensive commercial value) (Spearman’s Rho: 0.9). This means that there is an imbalance between regional economic capacity and the low-income housing supply because the regions with higher economic potential should have a less demanding population, that is, people living in poverty. These correlations are better when they go hand in hand with activities that are mostly developed in an urban environment, such as manufacturing, construction, real estate, and finance and insurance. On the contrary, these correlations are worse with industries such as mining and agriculture that mostly operate in rural areas. The analysis between low-income housing and economic sectors’ GDP yields low correlations, but these are worse for rural industries. Also, the investigation shows a positive change in the correlations’ trend for the year 2021, the beginning of the post-pandemic economic recovery.

show abstract

Section: The Role Of Low-income Housing In the Building Housing Sectormentioning

confidence: 99%

The Effects of Economic Sector GDP on Low-Income Housing Supply, Colombia’s Regions Case

Urazán-Bonells,

Rondón-Quintana,

Caicedo-Londoño

2024

Buildings

View full text Add to dashboard Cite

show abstract

“…La cAbA constituye un entorno complejo donde, por un lado, el punto de comienzo de las sucesivas líneas -el peso de los propietarios en las edades más tempranas-es más diverso y muestra que tanto la generación como el origen nacional son factores que pesan desde el comienzo de las trayectorias residenciales. Esta etapa vital, cuando se suele producir la salida del hogar de origen para conformar uno propio, representa un momento crítico, sensible tanto a cambios culturales relativos a la prolongación de la adolescencia y la juventud (Ferraris, 2009), como a las adversidades socioeconómicas coyunturales (Marcos & Módenes, 2021). Por otro lado, también los puntos de llegada de las sucesivas líneas -que se van truncando a medida que cada generación alcanza la edad actual-dan lugar a un escenario marcadamente divergente.…”

Section: Diferenciales Por Localizaciónunclassified

Migración y vivienda en Buenos Aires: intensidad, calendario y generación como claves para entender el acceso a la propiedad

Mera

Marcos²

2023

TERRIT

View full text Add to dashboard Cite

El objetivo del artículo es estudiar los diferenciales en el acceso a la propiedad de la vivienda de los migrantes internacionales en Buenos Aires desde una perspectiva demográfica poco aplicada al tema en América Latina, que explora la intensidad y el calendario del fenómeno en generaciones, grupos y territorios específicos. Para ello, se reconstruyeron las cohortes de nacimiento de diferentes colectivos nacionales a partir de datos de edad y lugar de nacimiento, de los censos de población argentinos de 1970 a 2010. Como resultado principal, se pudo conocer que a mayor edad se produce un progresivo acceso a la propiedad de la vivienda, pero que el acceso al suelo se ha vuelto más restrictivo. Ello ha afectado a las generaciones más recientes en general, incluida la población argentina, pero muy especialmente a los migrantes de países limítrofes de sectores sociales más bajos y en los territorios más disputados de la ciudad.

show abstract

The Effects of Economic Sector GDP on Low-Income Housing Supply. Colombia’s Regions Case

Caicedo-Londono,

Rondón-Quintana,

Urazan-Bonells

2023

Preprint

View full text Add to dashboard Cite

The regions with the best economy have a greater capacity to develop low-income or social impact housing, thus contributing to the reduction of poverty, and therefore, to the fulfillment of the Sustainable Development Goals. This is observed in fewer people living in extreme poverty and with fewer unmet basic needs. The present article analyzes the correlation between development by the main economic sectors in the different regions (departments) of Colombia, and the offer of low-income housing. The valid relationship found is between the economic condition of the regions (GDP) and non-social housing (more expensive commercial value) (Spearman´s Rho: 0.9). That means that there is an imbalance between regional economic capacity and the low-income housing offer because their economic potential allows them to have less of a demanding population, that is, living in poverty. This correlation is higher with activities that are mostly developed in an urban environment, such as manufacturing, construction, real estate, and finance and insurance. On the contrary, the correlation is lower with industries such as mining and agriculture, which mostly operate in rural areas. The analysis for low-income housing and economic sectors GDP yields low correlations, but are especially dismissible for more rural industries, such as mining and agriculture. The analysis shows the change of trend in the correlations for the year 2021, the beginning of the post-pandemic economic recovery.

show abstract

El componente demográfico de las necesidades habitacionales urbanas en América Latina: el caso de Buenos Aires

Cited by 3 publications

References 12 publications

The Effects of Economic Sector GDP on Low-Income Housing Supply, Colombia’s Regions Case

The Effects of Economic Sector GDP on Low-Income Housing Supply, Colombia’s Regions Case

Migración y vivienda en Buenos Aires: intensidad, calendario y generación como claves para entender el acceso a la propiedad

The Effects of Economic Sector GDP on Low-Income Housing Supply. Colombia’s Regions Case

Contact Info

Product

Resources

About