中文摘要：

采用数据包络分析（DEA）和随机前沿分析（SFA）2种方法对中国29个省份1990--2007年间全要素生产率变动进行测算和适用性分析。结果表明：2种方法估计得到的全要素生产率变动的时间趋势基本一致，其中，技术进步成为全要素生产率增长的主要推动力，而技术效率变动则起到负贡献；SFA方法得到的全要素生产率指数明显高于DEA方法；SFA估计结果显示各地区全要素生产率增长相对平均、差距较小；而DEA估计结果则表现出鲜明的地区差异性，与中国各地区经济发展的非均衡性相契合。比较而言，由DEA方法得到的结论可能更加可靠，也更能满足对中国经济现实进行解释的需要。

英文摘要：

With the approaches of DEA and SFA, this paper has analyzed TFP change of China based on the panel data of 29 provinces during 1990--2007. The result shows that. TFP has the same changing trend from DEA and SFA, and technological progress is the main driving force for TFP, while technical efficiency exhibit certain negative contribution to TFP; the average growth of TFP from SFA is much higher than the former estimated result of DEA has shown a great geographical differences, while SFA has not. In comparison, the results of DEA approach conform more closely with the reality of Chinese economy.