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福州大学学报(自然科学版) 2016
基于DEA方法的企业并购目标选择策略
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Abstract:
针对企业并购(M&A)目标选择问题,利用数据包络分析(DEA)方法从效率和规模两方面进行研究,提出一个考虑个体偏好的并购目标选择循环策略. 首先定义一个体现企业个体偏好的并购方案偏好函数,再利用该函数筛选出可行并购方案. 在此基础上,利用可行并购方案的交叉效率选出最佳并购方案,该并购方案参与下一轮循环直至无可行并购方案. 最后,通过一个算例说明了该方法的可行性和有效性.
Target selection of mergers and acquisitions (M&A) is researched from efficiency and scale by using data envelopment analysis(DEA) method in this paper. A loop algorithms of M&A target selection is put forward in consideration of individual preference:firstly,a preference function is defined to reflect individual preferences;secondly,the feasible M&A schemes is selected using the preference function. On this basis,rational M&A schemes are selected using cross efficiency of feasible M&A schemes,the rational M&A schemes participate in the next round of loop until no feasible M&A schemes. Finally,an illustrative example is given to show the method feasibility and validity of the proposed method