About this project
This project analyses the determinants of household adoption of solar energy in urban areas. Using household survey data, it estimates how income, grid reliability, upfront cost, financing access and awareness influence adoption decisions, modelling the choice with logistic regression and drawing policy lessons for clean-energy uptake.
Methodology
Econometric analysis
Chapters 1–5 outline
Chapter 1
Introduction: background to household solar adoption, statement of the problem (unreliable grid power coexists with slow solar uptake despite falling panel prices), aim and objectives, research questions, scope, significance of the study, and definition of terms.
Chapter 2
Literature Review: theoretical framework, review of related works on household solar adoption, gaps in existing studies, and a summary positioning this project.
Chapter 3
Methodology / System Analysis and Design: survey design; logistic regression; willingness-to-pay analysis. Includes data collection method, system requirements, use-case and architecture diagrams (or population, sample size, and instrument).
Chapter 4
Implementation and Results: estimated determinants of adoption and policy recommendations. Presentation of findings, testing, evaluation, and discussion of results.
Chapter 5
Summary, Conclusion and Recommendations: key findings, contribution to knowledge, limitations, and recommendations for further research.
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