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Evaluating Efficiency Change in Taiwan’s Financial Industry

机译:台湾金融业的效率变化

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This study evaluates the performance of the financial industry with meta-frontier (MF) dynamic network data envelopment analysis (DN-DEA) from 2009 to 2015. We divide the sample into two groups, Financial Holding group (FHG) and Insurance & Securities group (ISG), for all decision making units (DMUs) of the financial industry. Our goal is to study the effects of operating performance across divisions and across periods and to compare the differences between these two different groups within Taiwan’s bank industry. We find the best business performance was during 2013, where the average value was 0.5485. The best average value of FHG was 0.7192 in 2012, and ISG was 0.7099 in 2010. FHG has best average overall efficiency (OE) value in 2009–2015 periods. However, the average technical efficiency gap ratio (TGR) value of ISG’s (0.7490) is larger than FHG (0.6959), indicating that business performance is affected by group and meta-frontier. FHG has a larger scale than ISG, and so, those firms can input a relatively large proportion of investments and resources to produce better performance. Finally, many DMUs have excess inputs of labor costs and operating expenses, resulting in an average TGR value that is lower than ISG in 2009–2015.
机译:本研究评估了2009年至2015年与Meta-Frentier(MF)动态网络数据包络分析(DN-DEA)的金融业的表现。我们将样品分为两组,金融控股集团(FHG)和保险和证券集团(ISG),金融业的所有决策单位(DMU)。我们的目标是研究跨部门和周期经营业绩的影响,并在台湾银行业内的这两个不同群体之间的差异进行比较。我们发现2013年的最佳业务表现是2013年,平均值为0.5485。 2012年,FHG的最佳平均值为0.7192,2010年ISG为0.7099.FHG在2009 - 2015年期间具有最佳平均整体效率(OE)值。然而,ISG(0.7490)的平均技术效率差距比(TGR)值大于FHG(0.6959),表明业务表现受组和元边界的影响。 FHG的比例大于ISG,因此,这些公司可以输入相对较大的投资和资源比例,以产生更好的性能。最后,许多DMUS的劳动力成本和运营费用过剩,导致平均TGR值低于2009 - 2015年的ISG。

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