Housing, or more general living spaces, is a fundamental aspect of existence, giving shelter, protection, warmth, and a place to rest for human beings. This study aimed at analyzing changes in rental price with particular emphasis on Voi town and its environs. In our study, we wished to determine the common types of houses rented in Voi, the amount paid as rent and the key determinants of house rent in Voi
Structured questionnaires executed on a Kobo-Collect mobile data collection platform was used to gather data. A sample size of 384 households was obtained from 23 locations within Voi and its environs. The data was analyzed using both qualitative and quantitative methods. A Multiple linear regression model was employed to identify the determinant of house rent prices in Voi and its environs.
Table of Contents
ACKNOWLEDGEMENT
CHAPTER ONE: INTRODUCTION
1.1 Background
1.2 Statement of the problem.
1.3 Significance of the study
1.4 Objectives
1.4.1 General objective
1.4.2 Specific objectives
CHAPTER TWO: LITERATURE REVIEW
2.1 Theoretical review
2.1.1 Smith's gap theory
2.1.2 Information asymmetry theory
2.1.3 Maximum housing expenditure theory
2.1.4 The residual income approach
2.1.5 Heterogeneity theory
2.2 Conceptual framework
2.3.1 Type of house and its influence on rental price
2.3.2 Housing demand and its influence on rental growth
2.3.3 Structural characteristics and their influence on rental prices
2.3.4 Household income and its relation to rental prices
CHAPTER THREE: RESEARCH METHODOLOGY
3.1 Overview
3.2 Research Design
3.3 Target population and sampling
3.4 Data collection methods and instruments
3.4.1 Source of data
3.4.2 Collection of data
3.5 Data management
3.6 Ethical consideration
3.7 Data analysis strategies
CHAPTER FOUR: DATA ANALYSIS, PRESENTATION, INTERPRETATION, AND DISCUSSION
4.1 Introduction
4.2 Descriptive statistics
4.2.1 Distribution of households by the place of residence
4.2.2 Distribution of type of the house
4.2.3 Average rent by type of house.
4.2.5 Status of the floor
4.2.6 Main wall Material
4.3 Inferential Statistics.
4.3.1 Multiple linear regression analysis
4.3.2 Model summary
4.3.3 Coefficients
CHAPTER FIVE: SUMMARY OF FINDINGS, CONCLUSIONS, AND RECOMMENDATIONS
5.1 Introduction
5.2 Discussions from findings obtained
5.3 Conclusion
5.4 Recommendations
5.5 Challenges for the study
5.6 Suggestions for further research
REFERENCES
- Citar trabajo
- Reuben Madava (Autor), 2022, Housing Rent Dynamics in Voi Town and its Environs, Múnich, GRIN Verlag, https://www.grin.com/document/1195499
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