Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2017, Vol. 53 ›› Issue (1): 151-159.DOI: 10.13209/j.0479-8023.2016.119

• Orginal Article • Previous Articles     Next Articles

The Measurement of China’s Provincial Green Total Factor Productivity Based on DEA Method: Does the Choice of DEA Model Make Difference

Jie FENG, Shiqiu ZHANG()   

  1. Institute of Environment and Economy, College of Environmental Sciences and Engineering, Peking University, Beijing 100871
  • Received:2015-06-11 Revised:2015-06-18 Online:2017-01-09 Published:2017-01-20
  • Contact: Shiqiu ZHANG

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

冯杰, 张世秋()   

  1. 北京大学环境科学与工程学院, 环境与经济研究所, 北京 100871
  • 通讯作者: 张世秋
  • 基金资助:
    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

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.

Key words: DEA, Malmquist index, green total factor productivity

摘要:

基于对我国省际绿色全要素生产率的实证研究, 发现使用不同的 DEA 模型会显著地影响省际绿色全要素生产率的时空分布特征, 不同效率测度指标的选择对于结果的影响远远小于不同的生产前沿面假设。进一步分析发现, SBM 模型更符合绿色全要素生产率的现实含义。基于 SBM 模型的研究结果表明, 我国绿色全要素生产率表现出从东部沿海地区到西部地区递减的趋势, 虽然 2005—2013 年期间在整体上有所改善, 然而省际之间的绿色全要素生产率差异却越来越大。

关键词: DEA, Malmquist指数, 绿色全要素生产率

CLC Number: