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A hierarchical model of the determinants of non-performing assets in banks: an ISM and MICMAC approach

机译:银行不良资产决定因素的层次模型:ISM和MICMAC方法

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The banking systems of emerging economies in general and India in particular are facing sustained impairment due to mounting non-performing assets (NPAs). In the absence of stringent policies and their implementation, the results will be detrimental and may eventually lead to an economic crisis. Thus, it is imperative to unearth the causal factors and mitigate the risks involved with rising NPAs. The study attempts to identify the determinants of NPAs from the existing literature and subsequently, explore the interlinkages between the identified factors. A model of these factors is developed using Interpretive Structural Modeling (ISM) and MICMAC approach. Key managerial insights were obtained by the suggested model, specific to the Indian context. The hierarchical model provides a clearer perspective about the relationship between the factors and suggests that economic conditions and political factors are the key drivers which impact the ownership pattern and adherence to the regulatory framework; these further impact the internal factors related to the banks and borrowers' capacity to repay. The study will act as a scaffolding for policymakers and bankers. Based on these findings, better instruments and mechanisms for recovery/management of NPAs can be put in place.
机译:新兴经济体,特别是印度的银行体系,由于不良资产的增加而面临着持续的减值。如果没有严格的政策及其实施,结果将是有害的,并最终可能导致经济危机。因此,必须挖掘因果关系并减轻NPAs上升带来的风险。这项研究试图从现有文献中确定NPA的决定因素,然后探索确定因素之间的相互联系。使用解释性结构建模(ISM)和MICMAC方法开发了这些因素的模型。通过建议的模型获得了关键的管理见解,具体针对印度情况。层次模型为因素之间的关系提供了更清晰的视角,并表明经济条件和政治因素是影响所有权模式和遵守监管框架的主要驱动力;这些进一步影响与银行和借款人还款能力有关的内部因素。该研究将为决策者和银行家提供支持。基于这些发现,可以建立更好的手段来恢复/管理国家行动纲领。

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