金融與非金融銀行與證券業效率分析—關聯結構法

Abstract

綜觀國內外探討金融產業經營效率之相關文獻，多數針對銀行、證券、保險中其一產業進行獨立實證研究，較無法將金融控股之綜效表現加以捕捉並體現在估計效率值中，也因此在本文中，將同時涵蓋銀行業務與證券業務，並以納入金控體制與否加以區分為不同子集合進行探討，透過數理方法聯結金控體制下銀行與證券業務部門兩者間因多角化經營所產生之綜效，以修正傳統方法上表現綜效法上之不足，使估計效率值具有更高的參考依據。\n 此外，研究產業效率所參考之研究方法，在相關文獻中無參數法乃以資料包絡分析法(Data envelopement analysis, DEA)為多數研究者所採用；參數法則以隨機邊界模型(stochastic frontier approach, SFA)為主要研究方法，進一步在不同群組技術效率之比較中，Battese et al. (2004) 與 O’Donnell et al. (2008)提出為多數研究者所接受之共同邊界模型(Metafrontier)，而Huang et al. (2013)所提出之修正模型使共同邊界模型在效率研究上更加完備，本文則希望以此修正模型作為主要研究模型，並同時引用Battese et al. (2004)傳統模型加以比較：(1)考慮綜效前後 (2)傳統模型與修正模型間效率值的差異，期待為後續相關研究者在方法論上提供參考依據。\n\n\n關鍵字：經營效率、技術效率、共同邊界、計量方法、關聯結構法、金融控股銀行

This study aims to discuss the evidence suggested that synergy improve the operating performance of Taiwan’s commerical banks and securites firms. Furthermore, efficiency comparisons amongst two basis metafrontier models, Haung et al.(2013) and Battese et al.(2004), and copula-adjusted metafrontier. The empirical results suggest that copula-adjusted metafrontier could significantly improve the efficiency of financial holding companies based on the data of sample period 2001-2012. On the framework of copula-adjusted metafrontier, the evidence also imply that financial holging companysubsidiary technical efficiency is better than non-financial holding company compared to the framework of Haung et al.(2013) and Battese et al.(2004), the conclusion emphasis that synergy is perhaps one crucial key factor influenced the efficiency estimation. Otherwise, this study appears to support the copula-adjusted metafrontier model is also well-adjusted compared to programming techniques because not only it enables the statistical inferences to be drawn, but also provides more efficiency estimations.