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Merger and optimal number of firms: an integrated simulation approach

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  • Lin Lin
  • Hsien-Chang Kuo
  • I-Liang Lin

Abstract

In a market where imperfect competition occurs as a result of mergers, this study proposes a framework consisting of both efficiency and risk analyses that allow the simulation of pro forma mergers and hence the determination of the optimal number of firms in the industry. This is valuable policy information for regulators concerned with possible intervention in the case of competition and anti-trust violations, and also for business managers seeking acquisition targets. The framework is applied to the banking industry in Taiwan. Results reveal the potential for industrial restructuring in a sector where the optimal number of Bank Holding Companies (BHCs) is between four and six, subject to whether partial control is assumed.

Suggested Citation

  • Lin Lin & Hsien-Chang Kuo & I-Liang Lin, 2008. "Merger and optimal number of firms: an integrated simulation approach," Applied Economics, Taylor & Francis Journals, vol. 40(18), pages 2413-2421.
    • Handle: RePEc:taf:applec:v:40:y:2008:i:18:p:2413-2421
    DOI: 10.1080/00036840600949504
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    2. Wanke, Peter & Maredza, Andrew & Gupta, Rangan, 2017. "Merger and acquisitions in South African banking: A network DEA model," Research in International Business and Finance, Elsevier, vol. 41(C), pages 362-376.
    3. Peter Wanke & Carlos P. Barros & Md. Abul Kalam Azad & Dercio Constantino, 2016. "The Development of the Mozambican Banking Sector and Strategic Fit of Mergers and Acquisitions: A Two†Stage DEA Approach," African Development Review, African Development Bank, vol. 28(4), pages 444-461, December.
    4. Hai-Liu Shi & Ying-Ming Wang & Sheng-Qun Chen & Yi-Xin Lan, 2017. "An approach to two-sided M&A fits based on a cross-efficiency evaluation with contrasting attitudes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(1), pages 41-52, January.

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