知识资本与不良资产:知识资产在提高印度银行业信贷质量中的作用

IF 2.1 Q3 BUSINESS
Dolly Gaur, Kanishka Gupta
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引用次数: 0

摘要

目的无论在哪个行业,智力资本都有利于企业绩效的提高。本研究建议检验IC的使用是否也有助于提高银行的资产质量。因此,本研究旨在探讨投资组合及其组成部分对不良资产(NPAs)的影响。该研究以30家印度商业银行为样本进行,并在15年(2004-2005年至2018-2019年)的时间框架内进行了分析。采用改进的增值智力系数模型对自变量、智力值及其构成要素进行测度。因变量NPA用净NPA比率表示。采用两步系统广义矩量法(SGMMs)进行回归分析。随着SGMM方法提供的短期估计,解释变量对因变量的长期影响也被看到。研究结果表明,投资组合及其组成部分确实有助于不良贷款的管理,因为它们对问题贷款产生了负面影响。此外,集成电路在提高银行信贷质量方面的长期效益更为显著。实际意义本研究结果可为银行管理提供参考。银行管理者可以得出结论,有效地应用集成电路可以帮助他们减少贷款损失。开发员工的技能和知识,与利益相关者(尤其是客户)保持密切关系,并使用更复杂的流程和基础设施,可以帮助银行控制贷款损失。原创性/价值研究无形资产在银行业各方面的作用的大部分研究集中于无形资产与银行实体财务绩效之间的关系。然而,对于银行机构来说,除了财务业绩,提高信贷质量也是维持运营的必要条件。因此,据作者所知,本研究是第一个研究知识资产(即IC)与银行信贷质量之间关系的研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intellectual capital and non-performing assets: the role of knowledge assets in improving credit quality of Indian banking sector
Purpose Intellectual capital (IC) is beneficial to the improved performance of businesses, irrespective of their industry. The present study proposes to check if the use of IC can also help in improving the asset quality of banks. Thus, this study aims to examine the impact of IC and its components on non-performing assets (NPAs). Design/methodology/approach The study has been conducted with a sample of 30 Indian commercial banks and analysed over a time frame of 15 years (2004–2005 to 2018–2019). The modified value-added intellectual coefficient model has been used to measure the independent variables, IC, and its components. The dependent variable, NPA, has been represented by the net NPA ratio. Two-step system generalized methods of moments (SGMMs) have been applied for the regression analysis. Along with the short-term estimates provided by the SGMM approach, the long-term impact of explanatory variables on the dependent variables has also been seen. Findings The results of the study show that IC and its components are indeed helpful for the management of NPA, as they impact the problem loans negatively. Furthermore, the long-term benefits of IC in enhancing bank credit quality are more substantial. Practical implications The results from the present study can be used by bank management. The bank managers can draw inferences that the efficient application of IC can help them reduce their loan losses. Developing skills and knowledge of employees, maintaining close relations with stakeholders, significantly the customers, and putting more sophisticated processes and infrastructure to use can help banks to control their loan losses. Originality/value A major proportion of studies examining the role of intangible assets in various aspects of the banking sector focuses on the association between IC and the financial performance of banking entities. However, for banking institutions, apart from financial performance, improving credit quality is also imperative for staying afloat. Thus, to the best of the authors’ knowledge, the present study is one of the first to examine the relationship between knowledge-based assets (i.e. IC) and bank credit quality.
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CiteScore
5.30
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