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Predictors Of Choice Of Residential Housing In Kampala, Uganda

Author

Listed:
  • Rachael Daisy Mirembe
  • Augustine M'Tovu
  • Isaac Nkote
  • Nabirye Immaculate

Abstract

PURPOSE: This study investigates the predictors of choice of residential housing in Kampala, the largest metropolitan area in Uganda. The city is growing exponentially with a diverse population estimated at 1.5 million. As a result, there has been a steady growth in the residential market. The city is working on a range of housing solutions to meet the market needs. The study will draw from the APH Model comprising of the three key dimensions, mobility, community facilities, and community social capital to examine whether and when choosing a housing option, decision makers are subject to a variety of influences.METHODOLOGY: The researchers investigated the choice behavior of residential houses based on a sample of 384 respondents and adopted the exploratory, cross sectional, and quantitative research designs in this study. The data was collected through five point scale questionnaire survey, coded using Epi Data and analyzed using SPSS.FINDINGS: Findings suggest that there is a positive relationship between residential choice and mobility, community facility and community social capital.PRACTICAL IMPLICATIONS: Findings suggest that ease of mobility, access to amenities, and community social capital are key determinants in influencing the tenants’ decision on choice of residence.ORIGINALITY: The methodology applied in this paper provides an innovative way to measure choice of residential housing among tenants in developing countries.

Suggested Citation

  • Rachael Daisy Mirembe & Augustine M'Tovu & Isaac Nkote & Nabirye Immaculate, 2016. "Predictors Of Choice Of Residential Housing In Kampala, Uganda," AfRES afres2016_125, African Real Estate Society (AfRES).
  • Handle: RePEc:afr:wpaper:afres2016_125
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    More about this item

    Keywords

    housing; Mobility; Residential Choice; Tenants; Uganda;
    All these keywords.

    JEL classification:

    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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