earticle

영어

Data Envelopment Analysis is an operations research-based method for measuring the performance efficiency of decision units that are characterized by multiple inputs and outputs. DEA converts multiple inputs and outputs of a decision unit into a single measure of performance, generally referred to as relative efficiency. DEA has been applied successfully as a performance evaluation tool in many fields including manufacturing, banks, pharmacies, and hospitals to name a few.
This paper applies the input-oriented DEA model, DEA/Window analysis, and Malmquist indices to the 9 countries to measure the efficiency and productivity. The Malmquist indices will be decomposed into three components such as pure efficiency change, scale efficiency change, and technical change. The empirical results show the following findings. First, the DEA findings indicate that main source of inefficiency is both pure technical and scale. Second, the Malmquist indices show that an overall increase in productivity. Third, DEA/Window rusults show that the stable dissimilarity by standard deviation and LDP of CCR.