Provincial Energy Conservation Visual Potential Analysis Based on DEA Model

Abstract

As the basic study of energy conservation, Apparent Potential of Energy Saving and Emission Reduction (AP-ESER) analysis is a key link of energy conservation work in China. Compared with developed countries, the performances of energy conservation are not remarkable in most developing countries, which ensured the dominant position of apparent potential in the whole potential field. Based on the non-parametric Data Envelopment Analysis (DEA) method model and total-factor framework, the study established an AP-ESER analysis system. We investigated a sample of 30 provinces in China, used K-means clustering method, GIS special labeling method and radar graphic method to analyze the results, and divided the 30 provinces into 5 clusters according to the visual potential of energy conservation. At the same time, we tried to find the key factors of energy conservation in each province following the status comparison of radar graphic method, and listed it under the sort of critical degree of the factors.