Case Study in the Cape Coast Metropolis. Are households willing to pay for improved electricity supply?

Table of Contents

1. CHAPTER ONE

1.1 INTRODUCTION

1.2 BACKGROUND TO THE STUDY

1.3 PROBLEM STATEMENTS

1.4 OBJECTIVES OF THE STUDY

1.5 STATEMENT OF HYPOTHESIS

1.6 JUSTIFICATION OF THE STUDY

1.7 SCOPE OF THE STUDY

1.8 ORGANIZATION OF THE STUDY

2. CHAPTER TWO

2.1 LITERATURE REVIEW

2.2 INTRODUCTION

2.3 THEORETICAL REVIEW

2.4 NON MARKET VALUATION

2.5 METHODS FOR NON MARKET VALUATION

2.6 BRIEF HISTORY OF CONTINGENT VALUATION METHOD (CVM)

2.7 BIASES IN CONTINGENCY VALUATION METHOD (CVM)

2.8 WILLINGNESS TO PAY (WTP) AND WILLINGNESS TO ACCEPT (WTA)

2.9 EMPIRICAL REVIEW OF CONTINGENCY VALUATION METHOD.

2.10 SUMMARY OF CHAPTER

3. CHAPTER THREE

3.1 METHODOLOGY

3.2 INTRODUCTION

3.3 DESCRIPTION OF THE STUDY AREA

3.4 RESEARCH DESIGN

3.5 SOURCE AND TYPE OF DATA

3.6 SAMPLING TECHNIQUES

3.7 RESEARCH INSTRUMENTS AND DATA COLLECTION PROCEDURE

3.8 DATA ANALYSIS

3.9 THEORETICAL FRAMEWORK

3.10 EMPIRICAL MODEL

3.11 DESCRIPTION OF EXPLANATORY VARIABLES

3.12 WHY THE USE OF THE LOGIT REGRESSION MODEL

3.13 ERRORS IN MEASUREMENT

4. CHAPTER FOUR

4.1 RESULTS AND DISCUSSION

4.2 INTRODUCTION

4.3 DESCRIPTIVE PRESENTATION OF DATA

4.4 ANALYSIS ON WILLINGNESS TO PAY

4.5 DISCUSSION OF THE LOGISTIC REGRESSION OUTPUT

4.6 CONCLUSION

5. CHAPTER FIVE

5.1 SUMMARY, CONCLUSION AND RECOMMENDATIONS

5.2 INTRODUCTION

5.3 SUMMARY

5.4 CONCLUSION

5.5 POLICY RECOMMENDATIONS

5.6 LIMITATIONS OF THE STUDY

5.7 DIRECTION FOR FUTURE STUDIES

Objectives and Research Themes

The primary objective of this study is to determine whether households in the Cape Coast Metropolis are willing to pay for improved, reliable electricity supply, and to identify the socio-economic factors that influence this willingness to pay (WTP).

• Application of the Contingent Valuation Method (CVM) to elicit household preferences.
• Economic analysis of the cost of frequent and unannounced power outages.
• Assessment of socio-economic variables such as income, education, and household size on WTP.
• Evaluation of the impact of alternative power sources on the demand for reliable electricity.
• Econometric modeling using the Logit regression approach to determine significant predictors of WTP.

Excerpt from the Book

Summary of Chapters

CHAPTER ONE: This introductory chapter outlines the research context, the problem statement regarding unreliable electricity, the study objectives, and the research hypotheses.

CHAPTER TWO: This chapter reviews theoretical and empirical literature on electricity demand, pricing, non-market valuation, and the application of the Contingent Valuation Method.

CHAPTER THREE: This chapter details the research methodology, including the study area description, survey design, data collection instruments, and the Logit regression model used.

CHAPTER FOUR: This chapter presents the results of the field survey, including descriptive statistics and the analysis of the logistic regression output regarding WTP factors.

CHAPTER FIVE: This concluding chapter summarizes the study findings, draws conclusions, and provides policy recommendations for improving electricity services and increasing revenue generation.

Keywords

Willingness to Pay, WTP, Electricity Supply, Contingent Valuation Method, CVM, Cape Coast Metropolis, Logit Regression, Infrastructure, Power Outages, Economic Valuation, Socio-economic factors, Utility, Energy Policy, Reliability, Household Income.

Frequently Asked Questions

What is the core focus of this research?

The research focuses on estimating the willingness of households in the Cape Coast Metropolis to pay for improved and reliable electricity supply to avoid frequent and unannounced power outages.

What are the primary thematic areas?

The themes include electricity demand analysis, non-market valuation, identification of demographic drivers of consumer behavior, and the socio-economic impacts of unreliable power infrastructure.

What is the central research question?

The primary research question is: To what extent are households in the Cape Coast Metropolis willing to pay for improved electricity, and which factors significantly influence this decision?

Which scientific method is utilized?

The study adopts survey research using the Contingent Valuation Method (CVM). Data is analyzed through descriptive statistics and a binary Logit regression model to identify significant explanatory variables.

What topics are discussed in the main body?

The main body covers a comprehensive literature review, the methodological framework, presentation of demographic data, analysis of household outage experiences, and the results of the logistic regression regarding WTP.

Which keywords characterize this work?

Key terms include Willingness to Pay (WTP), Contingent Valuation Method (CVM), power outages, electricity supply, household income, and utility.

How does household size affect the willingness to pay?

The study found a negative relationship between household size and WTP, indicating that as the number of individuals in a household increases, the stated willingness to pay for improved electricity decreases.

What role does education play in this study?

Education is a significant factor in determining WTP. Households with heads possessing higher levels of education showed a stronger willingness to pay for improved electricity supply compared to those with lower levels of education.

How did alternative power sources impact the results?

The study identified that households already utilizing alternative power sources, such as rechargeable lamps or solar energy, were less likely to pay for improvements in the national grid, as they have already invested in substitutes.