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Articles

Merger Efficiency Evaluation of Two-Stage Production System Based on Non-Cooperative Game Theory

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  • 1. School of Business, University of Science and Technology of China, He Fei 230026, China;
    2. Institute of Policy and Management, Chinese Academy of Sciences, Bejing 100190, China

Received date: 2013-11-30

  Revised date: 2014-07-30

  Online published: 2015-07-22

Abstract

In terms of how to choose the candidate target companies and predicting the feasibility of M&As, data envelopment analysis is applied to predict the feasibility of M&As with a two-stage production system. The production system has two distinct characteristics: (1) a decision-making unit consists of two tandem components; (2) one component is in a dominant position, and the other is in a subordinate position. A hypothetical DMU is merged by two or more DMUs. To solve this kind of merger efficiency evaluation problem, a DEA approach is firstly applied to evaluate the DMU's efficiency of the overall system and both components simultaneously. Then based on the idea of non-cooperative game,a game DEA approach is provided to evaluate the hypothetical DMU's merger efficiency of the overall system and both components on the condition that the current output level and efficiency are constant, which is helpful to analyze how the merged hypothetical DMU to save cost from its components. Finally, the model is applied to the simulation analysis of Taiwan's 24 non-life insurance companies. Because the model can effectively analyze all internal sub-units' merger efficiencies of a hypothetical DMU with non-cooperative game concepts, the developed approach can imply more effective and veracious decision-making information for management.

Cite this article

SHI Xiao, XIE Jian-hui, LI Yong-jun, LIANG Liang, XIE Qi-wei . Merger Efficiency Evaluation of Two-Stage Production System Based on Non-Cooperative Game Theory[J]. Chinese Journal of Management Science, 2015 , 23(7) : 60 -67 . DOI: 10.16381/j.cnki.issn1003-207x.2015.07.008

References

[1] Ceausescu A. Merger and acquisition-a strategic option for companies[J]. Annals of the University of Petro?ani, Economics, 2008, 8(1), 59-64.

[2] Webber J A, Dholakia U M. Including marketing synergy in acquisition analysis: a step-wise approach[J]. Industrial Marketing Management, 2000, 29(2): 157-177.

[3] Dietrich J K, Sorensen E. An application of logit analysis to prediction of merger targets[J]. Journal of Business Research, 1984, 12(3): 393-402.

[4] Pasiouras F, Gaganis C. Financial characteristics of banks involved in acquisitions: evidence from: Asia[J]. Applied Financial Economics[J], 2007, 17(4): 329-341.

[5] Ragothaman S, Naik B, Ramakrishnan K. Predicting corporate acquisitions: An application of uncertain reasoning using rule induction[J]. Information Systems Frontiers, 2003, 5(4): 401-412.

[6] Wu Desheng, Birge J. Serial chain merger evaluation model and application to mortgage banking[J]. Decision Sciences, 2012,43(1): 5-36.

[7] Bogetoft P, Wang Dexiang. Estimating the potential gains from mergers[J]. Journal of Productivity Analysis, 2005,23(2): 145-171.

[8] Farrell M J. The measurement of productive efficiency[J]. Journal of the Royal Statistical Society,1957, 120(3): 253-281.

[9] Sherman H D, Rupert T J. Do bank mergers have hidden or foregone value? Realized and unrealized operating synergies in one bank merger[J]. European Journal of Operational Research, 2006, 168(1), 253-268.[ZK)]

[10] Halkos G E, Tzeremes N G. Estimating the degree of operating efficiency gains from a potential bank merger and acquisition: A DEA bootstrapped approach[J]. Journal of Banking & Finance, 2013, 37(5): 1658-1668.

[11] 刑俊.基于资源重置的企业并购效率综合评价的非参数方法[J].系统工程理论与实践,2011,31 (1):99-107.

[12] 刘星,蒋弘.异质预期下股权制衡对公司并购绩效的影响[J].中国管理科学,2013,21(4): 144-151.

[13] 易明阳,易振华.中资商业银行跨国并购现状、动因与效率影响——基于DEA测算及TOBIT模型的实证研究[J].浙江金融, 2011,6(1): 33-39.

[14] Seiford L M, Zhu J. Profitability and marketability of the top 55 US commercial banks[J], Management Science, 1999,45(9): 1270-1288.

[15] Lozano S, Villa G. DEA-based pre-merger planning tool[J]. Journal of the Operational Research Society, 2010, 61(10):1485-1497.

[16] Wu Desheng, Zhou Zhaoxin, Birge J R. Estimation of potential gains from mergers in multiple periods: A comparison of stochastic frontier analysis and Data Envelopment Analysis[J]. Annals of Operations Research, 2011, 186(1): 357-381.

[17] Charnes A, Cooper W, Rhodes E. Measuring the efficiency of decision making units[J]. European Journal of Operational Research, 1978,2(6): 429-444.

[18] Chen Yao, Cook W D, Zhu J. Deriving the DEA frontier for two-stage processes[J]. European Journal of Operational Research, 2012, 202(1): 138-142.

[19] Liang Liang, Cook W D, Zhu J. DEA models for two-stage processes: Game approach and efficiency decomposition[J]. Naval Research Logistics, 2008,55(7): 643-653.

[20] Kao C, Hwang S N. Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies inTaiwan[J]. European Journal of Operational Research, 2008, 185(1): 418-429.
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