Studying On And Applying The Method Of Corporation Performance Evaluation With Multiplicative Non-parametric Data Envelopment Analysis

As one of the main bodies of the modern industrial society, modernenterprises’ overall performance has been seen as an iconic element ofmeasuring a country’s or local area’s macro-economy, as an result of this,the ways of measuring enterprises’ performance have been concernedwidespread, and the correlated ways have been researched in generally,the ways’ improvement can be found now and then. On the base of all theimprovement, the key of this paper is to finding the issues that can beimproved and further improving the ways of measuring enterprises’performance, and in order to inspect the effect of improving, there will bean empirical analysis in the last of this paper.In order to find the breakthrough of improving ways, before furtherimproving the ways I have read a mountain of literatures about themeasuring enterprises’ performance, and have been familiar with the ideaand the field which has been improved by the seniors, and to find thebreakthrough could be improved furthermore. On the base of reading lotsof literatures, I have found there is a breakthrough-point about theimproved DEA methods. Comparing with the traditional ways, DEA hasan outstanding performance as the new way, and it has been focused in awide range, a great number of new methods being similar with theoriginal DEA have born now and then. But the higher requirements aboutthe ways of measuring enterprises’ performance, such as the improved DEA, have been demanded by all of us with the development of society,of course including the entrepreneurs, and the requirements haveappearanced frequently more and more when the ratio data becomes themain role by taking the place of absolute data, because there are new andhaving to be improved loopholes in the existing ways, such as the CCR,BCC, and so on. Therefore, new ways of DEA has being improvedaccording to specific application of ratio data, a model has beenaccomplished can not resolve the problem that the result has no realisticsense because it is less than zero after the decimal data is transformed tologarithmic data. On the base of this, this paper has improvedcontinuously the DEA model under the hypothesis of enterprises’ constantreturns to scale do not change, and resolve the problem successfully atlast.The key hypothesis of this paper is that enterprises’ constant returns toscale do not change. On the base of this, the petroleum industry, bankindustry, insurance industry, communication industry and theelectric-power industry have been selected to be the object of beingstudied, at the same time, the Iron and steel, the real estate industry andthe coal industry which have faced with the bottleneck but not declined atpresent have been regarded as the object too, and the empirical analysisof the efficiency of the industries is with the original way and theimproved way, as the result of this,we can find the advantage of the new model.The key hypothesis of this paper determines the limited of thispaper,therefore this paper forms as a part of the continuing research onpotential uses and applications of the DEA model. The field can beresearched continuing in the future including the enterprises’ constantreturns to scale is incremental or decremental.