两阶段DEA前沿面投影问题研究——兼对我国上市银行运营绩效进行评价

中国管理科学 ›› 2012, Vol. ›› Issue (2): 114-120.

两阶段DEA前沿面投影问题研究——兼对我国上市银行运营绩效进行评价

王赫一, 张屹山

吉林大学商学院, 吉林长春 130012

收稿日期:2011-03-24 修回日期:2011-09-26 出版日期:2012-04-29 发布日期:2012-04-25
基金资助:
教育部人文社会科学重点研究基地重大项目(2009JD790017);国家自然科学基金青年项目(71001044)

The Research on Two-stage DEA Projection Generation Problems ——Evaluate the Operational Performance of List Bank in China Stock Market

WANG He-yi, ZHANG Yi-shan

Business School, Jilin University, Changchun 130012, China

Received:2011-03-24 Revised:2011-09-26 Online:2012-04-29 Published:2012-04-25

摘要/Abstract

摘要： DEA方法,即数据包络分析方法,是一种用于评价决策单元(Decision Making Units,DMUs)相对有效性的实证方法。近年来DEA方法已经广泛的应用于各行各业的绩效评价中,并发展出两阶段DEA方法。两阶段DEA方法相对于传统DEA方法的优势在于,它不但可以提供被评价对象的总体效率值,还可以分别生成每一阶段的效率值。但正是由于中间要素的存在,按照传统的DEA方法来调整两阶段DEA投入、产出要素的优化过程已不能成功投影在有效前沿面上。本文基于两阶段DEA方法,通过加入"虚拟中间要素"在两阶段DEA中嵌入一个"虚拟阶段",这样不但完善了两阶段DEA的逻辑结构,而且成功的将被评价单元投影到有效前沿面。最后本文应用以上方法对我国上市银行的运营绩效进行了实证分析。实证结果令我们意外的是,国有商业银行运营绩效优于股份制银行。

关键词: 两阶段DEA, 有效前沿面, 虚拟中间要素, 虚拟阶段

Abstract: DEA (data envelopment analysis)is an empirical method which is used to evaluate the relative effectiveness of decision-making units (DMUs). The DEA has long been applied to assess operational performance in public and private sectors and a two-stage DEA method has been developed. Relative to the traditional DEA approach, two-stage DEA method has the advantage that it can not only provide the overall efficiency values of the evaluated objects, but also the values of each stage. But because of the existence of intermediate elements, two-stage DEA method can not follow the way which the traditional method does to adjust the inputs and outputs of the optimization process to project onto the effective frontier. Based on two-stage DEA method, by adding "virtual intermediate elements",we embed a "virtual stage" into the stages. Thus we can not only improve the logical structure of two-stage DEA, but also yield a frontier projection successfully. We apply the method to accomplish empirical analysis of operating performance of listed banks in China stock market. The empirical results surprise us that the operating performances of state-owned commercial banks are superior than the joint-stock banks.

Key words: two-stage DEA, effective frontier, virtual intermediate elements, virtual stage

中图分类号:

王赫一, 张屹山. 两阶段DEA前沿面投影问题研究——兼对我国上市银行运营绩效进行评价 [J]. 中国管理科学, 2012, (2): 114-120.

WANG He-yi, ZHANG Yi-shan. The Research on Two-stage DEA Projection Generation Problems ——Evaluate the Operational Performance of List Bank in China Stock Market[J]. Chinese Journal of Management Science, 2012, (2): 114-120.

参考文献

[1] 毕功兵,梁樑,杨锋.两阶段生产系统的DEA效率评价模型 [J].中国管理科学,2007,2:92-96.
[2] 张屹山,于大力.试论我国的社会公平与经济效率[J]. 社会科学战线,2007,2:54-59.
[3] 张屹山.社会公平与经济公平. 吉林日报,2007年7月13日第5版.
[4] 程大友, 冯英浚.基于两阶段关联DEA模型的企业效率研究——以财产保险公司为例[J]. 预测, 2008,3:55-61.
[5] 王全文,吴育华,罗蕴玲,王延臣. 决策单元排序的两阶段DEA方法[J]. 统计与决策,2008,23:160-162.
[6] 黄薇. 中国保险机构资金运用效率研究:基于资源型两阶段DEA模型[J]. 经济研究,2009,8:37-49.
[7] 陈伟,赵富洋,林艳. 基于两阶段DEA的高技术产业R&D绩效评价研究[J]. 软科学,2010,4:6-10.
[8] 杨锋,翟笃俊,梁樑,毕功兵.两阶段链形系统生产可能集与DEA评价模型[J].系统工程学报,2010,3:401-406.
[9] 王立岩.基于两阶段DEA模型的城市环保治理效率评价[J].统计与决策,2010,12:29-31.
[10] Charnes,A.,Cooper,W.W., Rhodes,E.. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978, 2:429-444.
[11] Färe, R.,Grosskopf,S.. Productivity and intermediate products: A frontier approach[J]. Economics Letters, 1996, 50:65-70.
[12] Seiford, L.M.,Zhu,J.. Profitability and marketability of the top 55 US commercial banks[J]. Management Science, 1999, 45(9):1270-1288.
[13] Färe,R., Grosskopf,S.. Network DEA[J]. Socio-Economic Planning Sciences, 2000, 34:35-49.
[14] Lewis, H.F.,Sexton,T.R.. Network DEA: Efficiency analysis of organizations with complex internal structures[J]. Computers and Operations Research, 2004, 31(9):1365-1410.
[15] Kao,C.,Hwang,S.N.. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan[J]. European Journal of Operational Research, 2008,185(1):418-429.
[16] Chen,Y.,Cook,W.D., Li, N.,Zhu,J.. Additive efficiency decomposition in two-stage DEA[J]. European Journal of Operational Research, 2009, 196:1170-1176.
[17] Pendharkar,P.C., Rodger,J.A.. The relationship between software development team size and software development cost[J]. Communications of the ACM, 2009, 52(2):1-4.