北京大学学报（自然科学版）2017，Vol.53Issue(1)：151-159,9.DOI:10.13209/j.0479-8023.2016.119
基于DEA方法的我国省际绿色全要素生产率评估--不同模型选择的差异性探析
The Measurement of China’s Provincial Green Total Factor Productivity Based on DEA Method：Does the Choice of DEA Model Make Difference
摘要
Abstract
Based on the empirical study of total provincial green factor productivity in China, it is found that the use of different DEA models will significantly affect the temporal and spatial distribution of provincial green total factor productivity, and the choice of efficiency measures affects less than the choice of production frontier Assumption. Further analysis shows that SBM model is more consistent with the real meaning of green total factor productivity. The results of SBM model show that China’s green total factor productivity (TFP) shows a decreasing trend from the eastern coastal regions to the western regions. Although the provincial total green factor productivity has improved during the period from 2005 to 2013, the difference among provinces has become bigger and bigger.关键词
DEA/Malmquist指数/绿色全要素生产率Key words
DEA/Malmquist index/green total factor productivity分类
管理科学引用本文复制引用
冯杰,张世秋..基于DEA方法的我国省际绿色全要素生产率评估--不同模型选择的差异性探析[J].北京大学学报（自然科学版）,2017,53(1):151-159,9.基金项目
高等学校博士学科点专项科研基金(20120001110054)和环境模拟与污染控制国家重点联合实验室专项经费资助 （20120001110054）
