孟加拉国银行业的成本效率:使用随机前沿分析的证据

Hashibul Hassan, Mahmudul Hassan
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引用次数: 12

摘要

银行业在孟加拉国的金融部门占主导地位,约占总中介的74%。近年来,由于监管空白、产能过剩和市场扭曲,该行业面临高风险。因此,衡量银行业的效率对于识别不良银行并通过专注于其绩效来实现稳定至关重要。本研究采用单阶段随机前沿分析(SFA)来衡量2011-2015年期间孟加拉国银行业的成本效率。在35个样本库中使用了五种不同的随机模型。有证据表明,孟加拉国银行业的平均成本效率为88.50%。国有银行的平均效率低于传统(私人)商业银行和伊斯兰银行。从分析来看,在2011-2015年期间,银行业的技术进步似乎很低。进一步分析表明,不良贷款对降低银行整体成本效率有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost Efficiency of Banking Sector of Bangladesh: Evidence Using the Stochastic Frontier Analysis
Banking industry dominates the financial sector of Bangladesh with an approximate share of 74% of the total intermediation. In recent years, this industry is at high risk due to supervision gaps, overcapacity and market distortions. Therefore, measuring the efficiency of the banking industry is critically important to identify poor banks and bring stability by concentrating on their performance. This study employs single stage stochastic frontier analysis (SFA) to measure the cost efficiency in the Bangladeshi banking sector during the 2011-2015 period. Five different stochastic models are used across the 35 sample banks. Evidence suggests that the mean cost efficiency found in the Bangladeshi banking sector is 88.50%. The mean efficiency is lower among the state-owned banks than conventional (private) commercial banks and Islamic Sariah banks. From the analysis, it seems that there is a low technological advancement in the banking sector during 2011-2015. Further, the analysis indicates that non-performing loans have a significant effect in reducing the overall cost efficiency among the banks.
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