Determinants of mortgage price affordability: a study of Ghana
International Journal of Housing Markets and Analysis
ISSN: 1753-8270
Article publication date: 7 June 2018
Issue publication date: 24 July 2018
Abstract
Purpose
While mortgage markets have gradually emerged in many African countries, substantial barriers still hinder their growth and expansion. Affordability has been widely cited as a prominent issue that doggedly remains at the core of urban housing problems. Hence, this paper aims to investigate the determinants of mortgage price affordability.
Design/methodology/approach
Data were gathered using semi-structured questionnaires obtained from a sample drawn from three major West African mortgage financing institutions. Respondents rated the variables using a five-point Likert item rating. The survey results were analysed using exploratory factor analysis.
Findings
In total, 11 variables that influence mortgage affordability were categorised within five principal components, namely, economic factors, financial factors, property characteristics, developmental factors and geographical factors.
Practical implications
The results provide insightful guidance to policymakers and practitioners on how to mitigate affordability issues within Ghana’s fledgling mortgage market. Failure to address the mortgage price affordability conundrum will place enormous pressure upon social housing and rental accommodation.
Originality/value
The research findings expand existing frontiers of knowledge by investigating and reporting upon the determinants of mortgage price affordability. The work also engenders wider debate on the need to establish mortgage packages targeted at low-to-middle-income earners. The culmination of analysis and debate will provide a robust basis for developing a future housing policy framework.
Keywords
Citation
Owusu-Manu, D., Edwards, D.J., Pärn, E.A., Asiedu, R.O. and Aboagye, A. (2019), "Determinants of mortgage price affordability: a study of Ghana", International Journal of Housing Markets and Analysis, Vol. 11 No. 4, pp. 734-751. https://doi.org/10.1108/IJHMA-11-2017-0094
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited