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基于非径向BML-DEA模型的地区工业环境绩效测度

唐李伟等   

  • 出版日期:2015-03-15 发布日期:2015-04-28

The Measurement of Regional Industrial Environmental Performance Based on Non-radial BML-DEA Model

Tang Liwei et al.   

  • Online:2015-03-15 Published:2015-04-28

摘要: 本文结合BM方向距离函数、非径向DEA模型以及Luenberger生产率指标的特点,发展了一种非径向BML-DEA模型测度环境绩效,并对中国30个省市1997-2011年地区工业环境绩效变化趋势进行了分析。研究发现:整体上中国地区工业环境绩效增长主要来源于技术进步而非效率改善;中国最发达的四个省市北京、上海、江苏和广东的工业环境绩效的年均增长幅度最高;三种污染物处理对工业环境绩效增长的贡献较为均衡;不同地区的工业环境绩效及其分解成份存在显著差异,东部地区的工业环境绩效增长速度显著高于其他地区,但效率增长速度略低于中部。因此,各地区提升资源的有效利用水平迫在眉睫。

关键词: 无可行解, 冗余度, 非径向BML-DEA模型, 环境绩效

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. By using the panel data of 30 provinces from 1997 to 2011 in China, we measure and analysis variation trend of the regional industrial Environmental Performance. The results show that the overall improvement of regional industrial Environmental Performance comes mainly from technological progress rather than efficiency improvements. The regions with the highest average annual growth are Beijing, Shanghai, Jiangsu and Guangdong. The contributions of the treatment of three pollutants to Environmental Performance are relatively balanced. There are significant differences in industrial Environmental Performance of different regions and its decomposition components. The growth rate of industrial Environmental Performance in east region is significantly higher than other regions, but the growth rate of efficiency is slightly lower than the center. Therefore, it is imminent for all regions to enhance effective utilization of resources.

Key words: Infeasible Solution, Slacks, Non-radial BML-DEA Model, Environmental Performance