Title: Estimation and Decomposition of the Total Factor Productivity of China——Feasibility Discussion and Application of DEA-Malmquist Method
Abstract: DEA-Malmquist is able to decompose the Total Factor Productivity(TFP) when the sample size is not large.However,since the factor endowment condition and developing level varies a lot among the provinces of China,it seems hard to meet the assumption of all economies face the same technology frontier.We estimate the difference between the results of DEA-Malmquist method and Solow Residual method.Furthermore,we propose to use the geometric mean of provinces results to represent the TFP estimation and decomposition of China.Empirical study show that our method coordinates with traditional methods.Moreover,the estimated technology efficiency better fits the change of China's economic system.The technology efficiency,one of the factors decomposed from TFP,is consistent with the variation of the potential output efficiency.
Publication Year: 2013
Publication Date: 2013-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 1
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot