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4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大;3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分存在显著差异,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地区。因此,各地区提升资源的有效利用水平迫在眉睫。
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.
出处
《统计研究》
CSSCI
北大核心
2015年第3期21-28,共8页
Statistical Research
基金
国家社会科学基金重点项目"能源消费
碳排放与经济增长的一般均衡分析与政策优化研究"(12AJL007)资助
