Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develops three DEA performance indicators for the purpose of performance ranking by using the distances to both the efficient frontier and the anti-efficient frontier to enhance discrimination por of DEA analysis. The standard DEA models and the Inverted DEA models are used to identify the efficient and anti-efficient frontiers respectively. Important issues like possible intersections of the two frontiers are discussed. Empirical studies show that these indicators indeed have much more discrimination por than that of standard DEA models, and produce consistent ranks. Furthermore, three types of simulation experiments under general conditions are carried out in order to test the performance and characterization of the indicators. The simulation results show that the averages of both the Pearson and Spearman correlation coefficients beten true efficiency and indicators are higher than those of true efficiency and efficiency scores estimated by the BCC model when sample size is small. Standard DEA models have not fully taken the advantage of the information implied in the data. develop another DEA approach based on the idea of utilizing both good and bad frontiers. develops three DEA performance indicators for the purpose of performance ranking.Important issues like possible intersections of the two frontiers are discussed.Empirical studies show that these indicators indeed have much more discrimination por.
['Wanfang Shen', 'Daqun Zhang', 'Wenbin Liu', 'Guoliang Yang']
I am writing a research paper on a idea Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers
[{"from": "human", "value": "I am writing a research paper on a idea Increasing discrimination of DEA evaluation by utilizing distances to anti-efficient frontiers"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  develops three DEA performance indicators for the purpose of performance ranking by using the distances to both the efficient frontier and the anti-efficient frontier to enhance discrimination por of DEA analysis. The standard DEA models and the Inverted DEA models are used to identify the efficient and anti-efficient frontiers respectively. Important issues like possible intersections of the two frontiers are discussed. Empirical studies show that these indicators indeed have much more discrimination por than that of standard DEA models, and produce consistent ranks. Furthermore, three types of simulation experiments under general conditions are carried out in order to test the performance and characterization of the indicators. The simulation results show that the averages of both the Pearson and Spearman correlation coefficients beten true efficiency and indicators are higher than those of true efficiency and efficiency scores estimated by the BCC model when sample size is small. Standard DEA models have not fully taken the advantage of the information implied in the data. develop another DEA approach based on the idea of utilizing both good and bad frontiers. develops three DEA performance indicators for the purpose of performance ranking.Important issues like possible intersections of the two frontiers are discussed.Empirical studies show that these indicators indeed have much more discrimination por."}]