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Taiwan Government passed the Act of Mergers and Acquisitions (M&A) for financial institutions in November, 2000 that brought many beneficial tasks such as tax benefit. This Act also stimulates securities industry to encourage M&A. However there are no domestic of foreign literatures on integrated analysis of structure, conduct, performance and X-efficiency for Taiwan securities industry. If the performance of securities firm is affected by larger market share, it throws a question on the existence of M&A Act. Because it may imposes social costs in the form of less favorable consumer prices. On the other hand, if the performance of securities firm is affected by better efficiency, it should encourage securities firms to merge. Because it may emerges social benefits by more favorable consumer prices. This paper adapts translog cost function from distribution free approach(DFA) to estimate efficiency for a sample of 14listed securities firms and 28 other securities firms during 1996~1999. Using RATS statistic software, it measures X-efficiency through fixed-effects and random-effects from panel data. The second part of this paper tests to identify whether structure-conduct-performance hypothesis(SCP) or efficiency-structure hypothesis(EFS) is applied to Taiwan securities industry through Two-stage least squares method. In addition, this paper uses conduct factors that most literatures omitted, to estimate SCP hypothesis. The results show that there is a lot of room to improve X-efficiency for domestic securities firms. And SCP hypothesis is applied to Taiwan securities industry that the performance of securities firms comes from rather market structure than efficiency. Thus, it throws a question on the existence of M&A Act. However, this paper also compare to deregulated securities industry such as U.S. and Japan to give some suggestions for future development of Taiwan securities industry. Key words: The Act of Mergers and Acquisitions (M&A) for financial institutions, X-efficiency, Distribution free approach (DFA), Translog cost function, Panel Data.
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