台灣證券業營運績效分析–應用具有產出平移不變性之DEA模型 = Perf...
國立高雄大學國際高階經營管理碩士在職專班(IEMBA)

 

  • 台灣證券業營運績效分析–應用具有產出平移不變性之DEA模型 = Performance Assessment of Taiwan’s Securities:An Application of the Output Translation Invariant DEA Model
  • 紀錄類型: 書目-語言資料,印刷品 : 單行本
    並列題名: Performance Assessment of Taiwan’s Securities:An Application of the Output Translation Invariant DEA Model
    作者: 林子平,
    其他團體作者: 國立高雄大學
    出版地: [高雄市]
    出版者: 撰者;
    出版年: 2015[民104]
    面頁冊數: [13], 81面圖,表 : 30公分;
    標題: 證券商績效
    標題: security performance
    電子資源: http://handle.ncl.edu.tw/11296/ndltd/06517344374560022313
    附註: 參考書目:面77-81
    附註: 104年3月25日公開
    摘要註: 證券商在各國金融產業占有舉足輕重的地位,1980 年代台灣政府開放諸多新的業 務範圍,並放寬證券業設立相關限制,促進台灣股票成交量大幅上昇及證券市場快速發 展。證券在金融及資本市場中扮演重要角色,為使其能更加穩健發展評估證券商的經營 效率便非常重要,因此本文考量證券商之非意欲產出,以 DEA 衡量金控及非金控之綜 合證券商之經營績效、了解券商不同業務對其經營績效的貢獻程度並提出適切經營建議。 研究結果顯示,非金控之證券業者在其純技術效率、營業內及營業外利潤權重,顯著高 於金控證券業者;在研究觀察期間內(2010-2012)的資料並不存在顯住的效率差異; 最後,本研究中共有 34 家廠商需要擴張其經營規模,4 家廠商需要進行規模縮減,14 家證券業者則是已達最適經營規模。本研究建議台灣非金控證券商應盡可能加強並著重本業內的各項業務,而金控券商 應針對特定商品進行員工教育訓練,借此提升其專業性。另外,台灣證券市場有限致使 券商無法發揮,建議證券商透過用合併之方式來突破現有之經營規模。同時,政府可積 極推動相關政策,協助台灣證券產業向海外擴張。 Securities have been played important role in the financial industry all over that world.The trading volume of Taiwanese security market booms in 1980s due to the open-up of new business frame and the relaxation of security establishment restrictions. This shows that the security industry also plays a significant role in Taiwanese financial and capital market. In order to steady the development of security market, the evaluation of security companies’ operation performance becomes very important. However, there might be some undesirable output, such as revenue losses, while running a securities firm. The purpose of this article aims to take these undesirable outputs into consideration investigating the difference of operation performance between financial-holding and non-financial-holding integrated securities firms. We then propose some managerial and political suggestions according to the empirical results.Our result indicates that the non-financial-holding securities firms is significant higher than financial-holding securities firms in terms of the weight of pure technology efficiency, weight of operational revenue, and weight of non-operational revenue. Secondly, the results show insignificant difference during the observation period (2010-2012). Finally, we suggest that 34 securities firms need to expand their operation size through mergers and acquisitions, 4 firms are required to reduce the operation scale, and the rest of the samples reveals in the optimal business scale.
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