Artikel

The influence of socioeconomic variability on the housing quality standard in sub-Saharan Africa

The study examined the relationships between residents' socioeconomic characteristics and the housing quality standard in Abeokuta, Nigeria. Systematic sampling technique was used to select 198 household heads for questionnaire administration. The findings revealed that socioeconomic factors are correlated in the following proportions: educational level shows a moderate correlation with monthly income (r = .463, p < 0.01), length of stay (r = -.433, p < 0.01) and age of building (r = -.414, p < 0.05); monthly income displays a fairly strong correlation with length of stay (r = -.502, p < 0.01) and age of building (r = -.625, p < 0.01); household size presents a relatively strong correlation with length of stay (r = .766, p < 0.01), and a moderate correlation with age of building (r = .545, p < 0.01). The results of the multiple regression analysis produced an R2 = 0.387, meaning that socioeconomic variables explained the 38.7% variance in the housing quality standard (HQS) in the study area. Therefore, the study concluded that length of stay, educational level and age of building are strongly associated with the housing quality in Abeokuta.

Sprache
Englisch

Erschienen in
Journal: Economic and Environmental Studies (E&ES) ; ISSN: 2081-8319 ; Volume: 18 ; Year: 2018 ; Issue: 3 ; Pages: 1089-1103 ; Opole: Opole University, Faculty of Economics

Klassifikation
Wirtschaft
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Urban, Rural, Regional, Real Estate, and Transportation Economics: Housing Demand
Housing Supply and Markets
Thema
housing quality standard
housing and environmental infrastructure
residents'socioeconomic influence

Ereignis
Geistige Schöpfung
(wer)
Daramola, Olawumi
Adeleye, Olufemi
Agbabiaka, Hafeez
Olowu, Falilat
Ereignis
Veröffentlichung
(wer)
Opole University, Faculty of Economics
(wo)
Opole
(wann)
2018

DOI
doi:10.25167/ees.2018.47.3
Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

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ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Daramola, Olawumi
  • Adeleye, Olufemi
  • Agbabiaka, Hafeez
  • Olowu, Falilat
  • Opole University, Faculty of Economics

Entstanden

  • 2018

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