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Non-performing assets and technical efficiency of Indian banks: a meta-frontier analysis

机译:印度银行不良资产和技术效率的元边界分析

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Purpose - The issue of mounting non-performing assets (NPAs) in Indian banking industry is serious and attracting attention of academia and policy planners. Thus, the purpose of this paper is to test the hypothesis whether NPAs in Indian commercial banking have reached at alarming state where they start affecting the technical efficiency levels adversely or not. Design/methodology/approach - The efficiency score have been computed using case model (model with NPAs as bad/undesirable output) vs control model (model without NPAs as bad/undesirable output) methodology under meta-frontier data envelopment analysis framework. Findings - It has been noticed that the effect of NPAs on overall technical efficiency and its various components is insignificant. The comparison of the case models (i.e. model with NPAs as bad output) with the control models (i.e. model without NPAs) reveals insignificant difference in average efficiency scores and rank distribution of commercial banks. The major source of inefficiency is technology gap (i.e. structure, setup and objectives of banking) among public, domestic private and foreign private categories of banks. Practical implications - Though NPAs are increasing in Indian banking industry and specifically in Indian public sector banks because of their compulsory lending to priority sector yet the banks have huge scope to extend credit to priority sector as the NPAs have not reached at alarming stage where they start affecting adversely the efficiency performance. Originality/value - Given the fact that the banking penetrations, structure and objectives differ significantly across ownership, separate frontiers for each ownership (public, private and foreign banks) category has been used to evaluate the technical efficiency levels of 81 commercial banks operating in India over the period 2005 to 2013.
机译:目的-在印度银行业中增加不良资产(NPA)的问题很严重,引起了学术界和政策计划者的关注。因此,本文的目的是检验以下假设:印度商业银行中的NPA是否已达到令人震惊的状态,开始对技术效率水平产生不利影响。设计/方法/方法-在元边界数据包络分析框架下,使用案例模型(NPA为不良/不良输出的模型)与控制模型(NPA为不良/不良输出的模型)的方法计算效率得分。调查结果-已经注意到,国家行动纲领对总体技术效率及其各个组成部分的影响微不足道。案例模型(即以不良资产为不良资产的NPA模型)与控制模型(即无NPA的资产模型)的比较表明,商业银行的平均效率得分和等级分布差异不大。效率低下的主要原因是公共,国内私人和外国私人类别的银行之间的技术鸿沟(即银行的结构,设置和目标)。实际意义-尽管由于向优先部门提供强制性贷款,印度银行业特别是印度公共部门银行的不良贷款有所增加,但由于NPA尚未达到启动的预警阶段,因此银行具有将信贷扩展至优先部门的巨大空间对效率绩效产生不利影响。原创性/价值-鉴于所有权的银行渗透率,结构和目标存在显着差异,因此已使用每种所有权(公共,私人和外国银行)类别的单独边界来评估在印度运营的81家商业银行的技术效率水平在2005年至2013年期间。

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