A Cluster Analysis of Renewable Electricity Generation Policies in Asian Region Countries Using SPSS Software

Abstract

The sector of renewable electricity generation in Asia region countries was comprehensively analyzed. A comparative study has been conducted with bar chart. A hierarchical clustering analysis was performed for the various renewable electricity generation types using SPSS software. The countries were clustered into 7 clusters based on the total renewable electricity generation. In hydroelectricity sector Asia Region countries were clustered into six groups in which India and Turkey are taking the lead. In Wind electricity sector four clusters were found in which India and Turkey lead. Countries were analyzed by dividing them into six clusters based on solar energy production. India and Japan is isolated in the first cluster followed by Turkey, while Arab Gulf countries were in the sixth cluster. In biomass electricity sector five clusters were founds in which India and japan in the first cluster. In geothermal electricity, Indonesia is isolated in the first. Four clusters were obtained in the wave-tide electricity sector in which Japan, South Korea and Turkey are isolated in the first cluster. Multiple Regression Model was created to estimate the amount of carbon dioxide emissions in Asia Region countries using the renewable electricity generation as an independent variable. However, the value of the intercept and the hydroelectricity factor were found 51.888 and 3.116 respectively. Moreover, a strong correlation between the GDP and the hydro, solar, wind, and biomass electricity generation was found.