摘要
基于数据包络分析(DEA)的Malmquist-Luenberger指数在测算交叉时期的生产率变化时存在着无可行解的问题。已有研究均是在规模收益不变的情况下对Malmquist-Luenberger指数无解进行研究和改进。然而这种改进方法未能解决规模收益可变情况下Malmquist-Luenberger指数无解的问题。借鉴超效率的无解问题,提出了规模收益可变情况下Malmquist-Luenberger指数无解的改进方法。应用改进后的模型测算1999-2013年间中国环境全要素生产率(ETFP)的变化,结果表明考虑环境指标后,在规模收益可变的假设前提下,中国30个省份在1999-2013年间的环境全要素生产率处于停滞或者小幅下降状态,通过对指数的分解得出技术进步对我国环境经济效率提升有促进作用。
The Malmquist-Luenberger productivity index would cause the infeasible problem when measuring the mixed period change of the total factor productivity. The former research focuses on the infeasible issue under the hypothesis of the constant returns to scale and there are many meaningful solutions which could avoid the infeasible problem of Malmquist-Luenberger productivity index. However,the above solutions couldn't solve the infeasible issue of Malmqusit-Luenberger productivity index under the condition of the variable returns to scale. In this paper,the new solution which could avoid the infeasible problem even under the variable returns to scale is introduced. the total factor productivity in China is measured. This measurement would consider the environmental issue especially the pollutants and these thirty regions(province,municipalities,autonomous region)are measured. The periods from 1999 to 2013 is covered. The results of the environmental total factor productivity index in China during 1999 to 2013 indicate that China should enhance the innovation of technology which could improve the total factor productivity in China even considering the environmental issue.
出处
《中国管理科学》
CSSCI
北大核心
2016年第S1期883-889,共7页
Chinese Journal of Management Science
