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范圍調(diào)整方法及其最新發(fā)展

發(fā)布時間:2018-12-18 14:59
【摘要】:范圍調(diào)整方法(Range-adjusted Measure,RAM)是一種新型的非徑向、非角度的數(shù)據(jù)包絡(luò)分析(DEA)模型,而國內(nèi)對于RAM模型的研究和應(yīng)用還處在起步階段。文章結(jié)合國內(nèi)外學者關(guān)于RAM模型的已有研究成果,從基本內(nèi)涵和最新發(fā)展兩個方面對其進行了回顧與展望,希望有助于RAM模型在相關(guān)領(lǐng)域的推廣。
[Abstract]:Range adjustment method (Range-adjusted Measure,RAM) is a new non-radial and non-angular data envelope analysis (DEA) model, but the research and application of RAM model in China is still in its infancy. This paper reviews and looks forward to the RAM model from its basic connotation and latest development, combining with the existing research results of domestic and foreign scholars. It is hoped that it will be helpful to popularize the RAM model in related fields.
【作者單位】: 蘭州大學經(jīng)濟學院;
【基金】:中央高;究蒲袠I(yè)務(wù)費專項資金資助項目(15LZUJBWYJ014)
【分類號】:F224


本文編號:2386014

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