• Title/Summary/Keyword: Weighted Russell Directional Distance Model

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Analysis of influencing on Inefficiencies of Korean Banking Industry using Weighted Russell Directional Distance Model (가중평균 러셀(Russell) 방향거리함수모형을 이용한 은행산업의 비효율성 분석)

  • Yang, Dong-Hyun;Chang, Young-Jae
    • Journal of Digital Convergence
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    • v.17 no.5
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    • pp.117-125
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    • 2019
  • This study measured inefficiencies of Korean banks with weighted Russell directional distance function, WRDDM, for the years of 2004-2013. Checking contributions of inputs and outputs to these inefficiencies, we found that non-performing loan as undesirable output was the most influential factor. The annual average of inefficiencies of Korean banks was 0.3912, and it consisted of non-performing loan 0.1883, output factors 0.098 except non-performing loan, input factors 0.098. The annual average inefficiency went sharply up from 0.2995 to 0.4829 mainly due to the sharp increase of inefficiency of non-performing loan from 0.1088 to 0.2678 before and after 2007-2008 Global financial crisis. We empirically showed the non-performing loan needed to be considered since it was the most important factor among the influential factors of technical inefficiency such as manpower, total deposit, securities, and non-performing loan. This study had some limitation since we did not control financial environment factor in WRDDM.