Bachelorarbeit, 2016
126 Seiten, Note: A
This dissertation aims to explore households' willingness-to-pay for improved electricity supply in Ghana, focusing on the Cape Coast Metropolis. It utilizes the Contingency Valuation Method and analyzes data from a survey of 200 household heads.
Chapter One provides an introduction to the study, outlining its background, problem statements, objectives, hypothesis, justification, scope, and organization.
Chapter Two presents a comprehensive literature review, exploring theoretical frameworks and existing research on non-market valuation, including various methods used for this purpose.
This dissertation focuses on the key concepts of willingness-to-pay, electricity supply, non-market valuation, contingency valuation method, household characteristics, and logit regression model, all within the context of the Cape Coast Metropolis in Ghana.
WTP measures the maximum amount of money a consumer is willing to spend for a certain improvement in service, in this case, a more reliable electricity supply.
According to the study, 87 percent of the 200 sampled households expressed a willingness to pay for improved electricity supply.
It is a survey-based economic technique used to estimate the value of non-market goods by asking people directly how much they would pay for a specific benefit.
Significant factors include household income, education level, marital status, household size, and the availability of alternative power sources.
The researchers used logit regression models and software packages like SPSS and STATA to assess the data.
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