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A nonparametric analysis of efficiency and productivity in large United States banks

机译:美国大型银行效率和生产率的非参数分析

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摘要

This dissertation examines the productivity growth, scale efficiency, size efficiency, and the efficiency dynamics of large U.S. commercial banks between 1984 to 1990, using the nonparametric method of Data Envelopment Analysis and statistical and econometric tools.;We measure productivity growth using Malmquist productivity indexes, and isolate the contribution of technical change, efficiency change, and scale efficiency change to productivity growth. We find that large commercial banks experienced productivity increases at about 3.35% per year on average during this period. Further, productivity expanded between 1984 and 1988, but declined thereafter. Our second stage regressions suggest that commercial banks with more assets or more specialization in outputs experienced higher productivity growth.;Next we address the issue of optimal size of banks. We examine the scale efficiency of large U.S. banks employing two kinds of significance tests--a parametric test developed by Banker (1993) and the nonparametric Wilcoxon's signed rank sum test that is suitably constructed to test if the level of scale efficiency falls below unity by more than a prespecified degree. The statistical tests reveal significant deviations from constant returns to scale suggesting that it may be worthwhile to correct for scale inefficiencies even after technical inefficiencies are accommodated. We then focus on the banks that are operating under decreasing returns to scale to examine their size efficiency--i.e., whether they should be reorganized as several smaller banks in order to achieve the most efficient utilization of resources. While majority of the banks are not "too large" according to this criterion, there are many instances where restructuring of the banks into multiple units is recommended.;Finally, we examine the dynamics of efficiency of the banks during this period, within the framework of Concordance analysis, Kolmogorov-Smirnov tests, Convergence analysis, and Markov-Chain analysis. The analyses suggest that while the efficiency rankings of the banks in each year are overall stable, it does accommodate considerable mobility. The transitional probability matrix is stationary for the period 1987 to 1990 though not for the entire period 1984 to 1990, indicating that by 1987 the large banks have adapted reasonably to the changed environment.
机译:本文运用数据包络分析的非参数方法以及统计和计量经济学工具,考察了1984年至1990年美国大型商业银行的生产率增长,规模效率,规模效率以及效率动态。 ,并隔离技术变化,效率变化和规模效率变化对生产力增长的贡献。我们发现,在此期间,大型商业银行的生产率平均每年提高约3.35%。此外,生产率在1984年至1988年之间有所增长,但此后下降了。我们的第二阶段回归表明,拥有更多资产或更多专业化产出的商业银行的生产率增长更高。;接下来,我们解决银行规模最优的问题。我们使用两种显着性检验来检验美国大型银行的规模效率-由Banker(1993)开发的参数检验和非参数Wilcoxon的有符号秩和检验,其构造适合于检验规模效率水平是否低于1。超过预定的程度。统计测试显示,与规模收益不变存在显着偏差,这表明即使在适应了技术效率低下的情况下,也有必要纠正规模低效的问题。然后,我们将重点放在规模收益递减下运行的银行以检查其规模效率-即是否应将其重组为几个较小的银行,以实现资源的最有效利用。虽然按照这个标准,大多数银行不是“太大”,但在许多情况下,建议将银行重组为多个单位。;最后,我们在框架内研究了此期间银行效率的动态分析,Kolmogorov-Smirnov检验,收敛分析和马尔可夫链分析。分析表明,尽管每年银行的效率排名总体上是稳定的,但确实可以容纳相当多的流动性。过渡概率矩阵在1987年至1990年期间是固定的,尽管在整个1984年至1990年期间不是固定的,这表明到1987年,大型银行已经合理地适应了变化的环境。

著录项

  • 作者

    Mukherjee, Kankana.;

  • 作者单位

    University of Connecticut.;

  • 授予单位 University of Connecticut.;
  • 学科 Economics.;Commerce-Business.;Banking.
  • 学位 Ph.D.
  • 年度 1997
  • 页码 182 p.
  • 总页数 182
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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