基于非径向BML-DEA模型的中国地区工业环境绩效测度

Abstract

Combining the characteristics of BM direction distance function, non- radial DEA model and Luenberger productivity indicators, we develop a non-radial BML-DEA model to measure Environmental Performance. And by using the panel data of 30 provinces from 1997 to 2011 in China, we measure and analysis the regional industrial eco-efficiency. The results show that the overall growth of industrial Environmental Performance of the region comes mainly from technological progress rather than efficiency improvements, the highest average annual growth rate of areas are Beijing, Shanghai, Jiangsu and Guangdong. The effect from three pollutants on industrial Environmental Performance by descending is SO2, CO2 and Smoker, and the contribution of the three pollutants deal more balanced. There are significant differences among industrial Environmental Performance and its decomposition ingredients in different regions. The growth rate of industrial Environmental Performance in east is significantly higher than other regions, but the growth rate of efficiency is not superior to the center and west, and even slightly lower than the center. Therefore, regions need to enhance the efficiency in using the resources