Estimating Two-Stage Network Technology Inefficiency: An Application to Cooperative Shinkin Banks in Japan
Estimating Two-Stage Network Technology Inefficiency: An Application to Cooperative Shinkin Banks in Japan
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DOI：
10.4018/joris.2012040101
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发表时间：
2012-04
期刊：
影响因子：
--
通讯作者：
H. Fukuyama;William L. Weber
中科院分区：
文献类型：
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作者：
H. Fukuyama;William L. Weber
作者在一个两阶段框架内使用方向距离函数对决策单元(决策单元)的性能进行建模。在生产的第一阶段，DMU使用输入来产生中间输出。在第二阶段，中间输出被用来产生最终输出。与DEA(数据包络分析)模型相比，两阶段定向模型考虑了网络生产结构，并允许对产出和投入进行非径向缩放。并以日本信金信用合作社为例，对该方法进行了实证应用。这些银行在第一阶段使用劳动力、实物资本、股权资本来产生存款，然后在第二阶段使用这些存款来产生贷款、证券投资和其他计息资产。作者发现，与第二生产阶段相比，第一生产阶段的效率更低。此外，研究结果表明，忽略网络结构并使用黑盒DEA模型衡量绩效的模型，在用网络模型衡量时，错过了约50%的银行总低效。
The authors model the performance of DMUs (decision-making units) using the directional distance function within a two-stage framework. In the first stage of production, DMUs use inputs to produce an intermediate output. In stage 2, the intermediate output is used to produce final outputs. In contrast to DEA (data envelopment analysis) models, the two-stage directional model accounts for a network production structure and allows non-radial scaling of outputs and inputs. An empirical application of the method is provided for Japanese credit cooperative Shinkin banks. These banks use labor, physical capital, equity capital in a first stage to produce deposits, and then use the deposits to produce loans, securities investments, and other interest bearing assets in a second stage. The authors find evidence of greater inefficiency in the first stage of production than in the second stage of production. In addition, the findings indicate that models that ignore a network structure and measure performance using a black-box DEA model miss about 50% of total bank inefficiency when measured by the network model.