Adoption of Green Energy and Testing the Presence of Environmental Kuznets Curve in Kenya
| dc.contributor.author | Kibet,Geofrey Kiprono | |
| dc.date.accessioned | 2024-07-31T12:45:09Z | |
| dc.date.available | 2024-07-31T12:45:09Z | |
| dc.date.issued | 2024-05 | |
| dc.description | A Research Project Submitted to School of Business, Economics and Tourism in Partial Fulfilment of the Requirements for the Award of Masters of Economics (Econometrics) of Kenyatta University. May, 2024 Supervisor Dr. Diana Ngui Muchai Lecturer Department of Econometrics and Statistics Kenyatta University | |
| dc.description.abstract | Energy is a determinant of economic growth in any economy, but due to different sources of energy which are categorized into green and non-green energy, there is a need for the economy to reduce the use of fossil fuels and consider using more green energy resources. This is because the use of fossil fuels leads to environmental pollution due to Carbon dioxide emissions into the atmosphere. Reduction of fossil fuel consumption leads to reduction of Carbon dioxide emission into the atmosphere, hence leading to global warming mitigation. The use of Non-green energy sources causes environmental pollution which results in the reduction of social welfare. Since little is known about the relationship between economic growth and environmental pollution in Kenya, and also there was clear policy on rates of substitution between green energy and non-green energy in Kenya. This research project intended to estimate the Marginal rate of Technical Substitution between green energy and non-green energy in Kenya and to ascertain whether the Environmental Kuznets Curve on Carbon dioxide emission is present in Kenya. The study used the Instrumental Variable (IV) approach to estimate elasticities and finally determine the MRTS. The objectives of the study included; first, to test the presence of the EKC hypothesis in Kenya. Secondly, it was to determine the Marginal rate of technical substitution between green and non-green energy in Kenya. The study used secondary time-series data from the year 1964 to 2021 from various sources and adopted the VECM model for analysis. Empirical results revealed that the EKC hypothesis on Carbon dioxide emission exist in Kenya in the long-run and not in the short-run. In the long-run, as per capita GDP grows, the environmental degradation continues to decrease. The study also concluded that Kenya requires more investment in green energy infrastructure in order to replace non-green energy infrastructure without affecting GDP growth. Investing in green energy to promote the use of clean energy, in the long run, leads to sustainable economic development. | |
| dc.description.sponsorship | Kenyatta University | |
| dc.identifier.uri | https://ir-library.ku.ac.ke/handle/123456789/28529 | |
| dc.language.iso | en | |
| dc.publisher | Kenyatta University | |
| dc.title | Adoption of Green Energy and Testing the Presence of Environmental Kuznets Curve in Kenya | |
| dc.type | Thesis |