摘要
现有文献在我国全要素生产率方面已经得到了很多有价值的研究结论,但不可否认的是,单纯考虑中国经济增长而忽略了资源环境因素对经济质量的影响是片面的。与类似研究相比,本文在生产率测量框架体系中引入了资源环境因素,从而为我国经济增长质量的测度提供一个更为科学的方法。文章分别运用基于DEA的Malmquist生产率指数和基于方向性距离函数的Malmquist-Luenberger生产率指数对1985~2010年间中国绿色全要素生产率进行了测算及分解。研究发现,不考虑资源环境因素会高估全要素生产率,从而对我国经济增长质量做出较为乐观的判断;我国全要素生产率增长主要来源于技术进步;考察期内我国绿色全要素生产率呈现"先升后降再平稳"的时间趋势特征,且显示出较大的地区差异。
The existing literature on total factor productivity in China has done a lot of useful research, and has got much intention to conclusions, but in varying degrees they have ignored the resources and environment factors on the quality of China's economic growth. Compared with similar studies, this paper puts resources and environ- ment factors into the framework of productivity measure to make more scientific study on the quality of China^s e- conomic growth. The paper uses respectively Malmquist and Malmquist-Luenberger productivity indexes based on directional distance function to estimate and decompose China's total factor productivity during 1985~2010. The study finds that, if the resources and environment factors are not taken into consideration, the total factor produc- tivity will be overestimated, thus more optimistic judgments will be made of the quality of China' s economic growth~ China^s total factor productivity growth comes mainly from technological progress; during above-men- tioned period, the green total factor productivity presents the characteristics of rising-dropping-smooth in time trend, and shows large regional differences.
出处
《西北农林科技大学学报(社会科学版)》
CSSCI
2014年第3期120-127,共8页
Journal of Northwest A&F University(Social Science Edition)
基金
教育部新世纪优秀人才支持计划(NCET-10-0683)
关键词
绿色全要素生产率
方向性距离函数
卢恩伯格生产率指数
green total factor productivity (GTFP)
directional distance function
luenberger productivity