Please use this identifier to cite or link to this item: http://ir.futminna.edu.ng:8080/jspui/handle/123456789/28042
Title: DETERMINANTS OF RESIDENTS’ QUALITY OF LIFE IN NEIGHBOURHOODS OF MINNA METROPOLIS, NIGER STATE, NIGERIA
Authors: SULE, Abass Iyanda
POPOOLA, Naomi Ijadunola
ADAMA, Unekwu Jonathan
SALIHU, Nasiru
ANKELI, Anthony Ikpeme
YAKUBU, Suleiman
Keywords: Quality of life, city environment, sustainability, development, regression analysis
Issue Date: 2022
Publisher: LAÜ Sosyal Bilimler Dergisi
Citation: Abass Iyanda Sule, Naomi Ijadunola Popoola, Unekwu Jonathan Adama, Nasiru Salihu, Anthony Ikpeme Ankeli, Suleiman Yakubu (2022).Determinants of Residents’ Quality of Life in Neighbourhoods of Minna Metropolis, Niger State, Nigeria.LAÜ Sosyal Bilimler Dergisi (XIII-I): 78-90
Abstract: Cities around the world grow organically and their management requires some well researched indicators that will guide the spatial and cities planning policies for sustainable wellbeing of the inhabitants. A city’s quality of life (QoL) depends relatively to its environment and infrastructures provided in the city. In this context, this study through survey examined the determinants of QoL of residents of Minna metropolis. From the extant literature, four major factors were extracted: physical, environmental, social, and institutional factors. Based on this, a questionnaire survey was developed to obtain views from the residents of Minna. Out of six hundred and ten (610) questionnaires distributed across ten major neighbourhoods of Minna Metropolis, a total of four hundred and twenty-one (421) responses was achieved. Analysis of data through Pearson Product Moment Correlation and multiple regression revealed that physical factor (r = 0.732** p˂0.01), environmental factor (r = 0.381** p˂0.01), social factor (r = 0.405** p˂0.01) and institutional factor (r = 0.297** p˂0.01) positively correlated respectively with quality of life. The regression analysis shows that the independent variables statistically significantly predict the dependent variable, F (4, 409) =226.419, p < .0005. The four factors combined accounted for 68.6% variance in the prediction of quality of life in the study area. The two most potent factors were physical (β = 1.319, t = 26.116, P = 0.000) and environmental (β = -0.550, t = -9.828, P = 0.000) factors. This implies that to impact positively on the QoL of residents in the study area, the results of this study should be prioritized by the policy makers for sustainable development. A scientific element of originality in this research is evident in the QoL framework developed.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/28042
Appears in Collections:Estate Management & Valuation



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.