A synthesized data envelopment analysis model and its application in resource efficiency evaluation and dynamic trend analysis

Abstract

Based on the total factor productivity and the resource efficiency, this paper proposes a synthesized data envelopment analysis (DEA) model by using the DEA approach and the Malmquist index. Furthermore, this model is applied to a comprehensive empirical study of the resource efficiency evaluation in China from 2013 to 2015. By introducing some desirable and undesirable factors, we calculate and analyze the whole resource efficiency, the input redundancy ratio, and the output inefficiency ratio of China from 2013 to 2015 based on the synthesized DEA model. Then, we analyze the dynamic trends of the resource efficiency in 31 provinces of China during these three years by applying the corresponding Malmquist index. After that, some interesting conclusions are derived, which are useful for the government. At last, some practical suggestions about improving the resource efficiency of these provinces are provided.