Study Of Power Efficiency Based On PCA-DEA

Energy is an important material resource for economic and social development. It is essential for human survival and China’s modernization process. As a high quality, efficient and clean secondary energy, electricity is more and more important to national economic development. In recent years, the proportion of electricity in final energy consumption has reached more than20%. However, electricity shortages are always exist in the country’s various regions, and it almost become a universal problem. Related insiders and experts believe that, in addition to lack of electrical energy production and construction, the electrical energy inefficiency is the formation of the electricity shortage. Hence it is needed to enhance the efficiency of power in order to ease the power supply situation and promote the pace of building resource-saving society.Domestic and foreign experts pay more attention to energy efficiency research than electrical efficiency. In the resent years, there are some studies about the relationship between the power efficiency and economic development. I will study how the electrical efficiency affect economy and environment in this paper, and I also select10input indicators and5output indicators to build the evaluation system. Then I use PCA-DEA method to establish the evaluation model. Finally I get the electricity energy-related index data of30provinces in2012, and substitute it into the PCA-DEA evaluation model to obtain the relative power efficiency in all regions.Through the analysis of regional power efficiency, I get some conclusions. First, there exists some overlapping information in the original index, and it caused the inaccurate of the result. So I use PCA-DEA method to reduce the overlapping information and get the convincing results. Second, compared the PCA-DEA analysis and principal component composite score result, I find the main component composite score cannot accurately reflect the power efficiency levels. Third, based on the PCA-DEA analysis, overall efficiency and scale efficiency of electrical energy is not high in most areas of China. Fourth, based on the projected result, there exists overinvestment of electricity in most regions of China. Fifth, the electrical efficiency of coastal areas is better than inland areas, and the power efficiency of the South and the Southwest is relatively higher than other regions in China.