The Influence of Socioeconomic Variability on the Housing Quality Standard in Sub-Saharan Africa

• Autorzy: Oluwole Daramola , Olufemi Adeleye , Hafeez Agbabiaka , Falilat Olowu

Warianty tytułu

Wpływ zmienności socjoekonomicznej na jakość warunków mieszkaniowych w Afryce subsaharyjskiej

• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Opracowanie miało na celu zbadanie związku między charakterystyką socjoekonomiczną mieszkańców a jakością warunków mieszkaniowych w Abeokuta, Nigeria. Autorzy wykorzystali technikę doboru losowego do wyznaczenia 198 gospodarstw domowych i przeprowadzenia badania kwestionariuszowego z głowami tych rodzin. Uzyskane dane ujawniły, że czynniki socjoekonomiczne są skorelowane w następujących proporcjach: poziom wykształcenia pokazuje umiarkowaną korelację z dochodem miesięcznym (r = .463, p < 0.01), długością pobytu (r = -.433, p < 0.01) oraz wiekiem budynku (r = -.414, p < 0.05); dochód miesięczny wykazuje dość silną korelację z długością pobytu (r = -.502, p < 0.01) i wiekiem budynku (r = -.625, p < 0.01); wielkość gospodarstwa domowego prezentuje względnie silną korelację z długością pobytu (r = .766, p < 0.01), a umiarkowaną korelację z wiekiem budynku (r = .545, p < 0.01). Wyniki analizy regresji wielorakiej wyniosły R2 = 0.387, co oznacza, ze zmienne socjoekonomiczne wyjaśniały 38.7% zróżnicowania jakości warunków mieszkaniowych (Housing Quality Standard) jakie istnieje na badanym obszarze. W konsekwencji, wnioski wynikające z opracowania mówią o tym, że długość pobytu, poziom wykształcenia oraz wiek budynku wiążą się ściśle z jakością warunków mieszkaniowych w Abeokuta. (abstrakt oryginalny)

Słowa kluczowe

EN

Infrastructure; Housing; People's living conditions; Housing policy

PL

Infrastruktura; Mieszkalnictwo; Warunki życia ludności; Polityka mieszkaniowa

• Czasopismo: Economic and Environmental Studies
• Rocznik: 2018
• Numer: nr 3
• Strony: 1089--1103

Twórcy

autor

Oluwole Daramola

• Obafemi Awolowo University, Nigeria

autor

Olufemi Adeleye

• Obafemi Awolowo University, Nigeria

autor

Hafeez Agbabiaka

• Obafemi Awolowo University, Nigeria

autor

Falilat Olowu

• Obafemi Awolowo University, Nigeria

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Identyfikatory

DOI

10.25167/ees.2018.47.3