首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于DEA-PNN的中国上市房地产企业效率研究
引用本文:冉茂盛,徐彪.基于DEA-PNN的中国上市房地产企业效率研究[J].重庆大学学报(社会科学版),2013,19(3):59-64.
作者姓名:冉茂盛  徐彪
作者单位:重庆大学 经济与工商管理学院,重庆400044;重庆大学 经济与工商管理学院,重庆400044
基金项目:国家自然科学基金项目“大股东控制下的中国上市公司资本配置行为研究”(70772100);重庆市教委科技项目(KJ100609)
摘    要:文章运用传统的数据包络分析方法(DEA)对上市房地产企业的效率进行评定,引入相应的分类指标对DEA在不变规模收益下求得的效率值进行分类,然后使用概率神经网络(PNN)和传统的多重判别分析方法(MDA)对分类效果进行模式识别,并比较了两种方法的识别精确度,研究发现:(1)PNN的预测精度要优于传统的判别分析方法;(2)通过DEA的求解结果可以得出所有上市房地产企业的标杆企业;(3)当前上市房地产企业的总体效率值偏低,有巨大的提升空间。

关 键 词:房地产企业  数据包络分析  概率神经网络  多重判别分析

Using a DEA-PNN Approach to Model the Efficiency of Real Estate Public Company
RAN Maosheng and XU Biao.Using a DEA-PNN Approach to Model the Efficiency of Real Estate Public Company[J].Journal of Chongqing University(Social Sciences Edition),2013,19(3):59-64.
Authors:RAN Maosheng and XU Biao
Institution:School of Economics and Business Administration, Chongqing University, Chongqing 400044, P. R. China;School of Economics and Business Administration, Chongqing University, Chongqing 400044, P. R. China
Abstract:This study investigates the efficiency of real estate public company using data envelopment analysis. At the same time, the study puts forward the classifying index to classify the effective values solved by the data envelopment analysis method on the condition that the return to the scale is unchanged. Then the study uses the PNN method and MDA method to verify the effectiveness of classification and compares the classification accuracy of the probabilistic neural network (PNN) and the traditional multiple discriminant analysis(MDA) and the result shows that (1)the predicting accuracy of the PNN is better than the traditional MDA; (2)The benchmark enterprise can be concluded through the DEA method; (3) The current listed real estate enterprises overall efficiency value are low and have huge promotion space.
Keywords:real estate enterprise  data envelopment analysis  probabilistic neural network  multiple discriminant analysis
本文献已被 CNKI 等数据库收录!
点击此处可从《重庆大学学报(社会科学版)》浏览原始摘要信息
点击此处可从《重庆大学学报(社会科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号