资本充足率(car)、第三方资金增长(dpk)、不良信贷(npl)对 2017-2021 年印尼证券交易所传统商业银行信贷分布的影响

Andri Ani Ratna Puspitasari, Muhamad Husnul Arif, Yunita Ayu Marwati, Nina Adelina
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摘要

银行的信贷发放是国家的收入部门之一,在这种情况下,它被用于维护经济稳定,提高社会福利水平,通过银行提供的资本贷款帮助中小微企业发展,因此,银行间接进行信贷发放是提高公民福利水平的一种努力,信贷需求水平逐年增加。另一方面,银行也会考虑从贷款中获得的资本充足率(CAR)、不良贷款率(DPK)和不良贷款率(NPL),担心银行无法收回资金,过度的信贷发放会导致不良和不良贷款扩大的风险,从而使银行失去平衡。本研究的目的是实证确定资本充足率、第三方资金增长、不良贷款对 2017-2021 年期间在必赢国际注册银行信贷分布的影响。本研究的研究对象为 46 家银行。在这一群体中,采用目的性抽样的方法抽取银行样本,结果有 26 家银行符合规定的标准。数据的类型和来源来自二手数据源,采用的研究方法是使用 SPSS16 程序处理的多元线性回归定量方法。多元线性回归分析和假设检验的结果可以得出结论:同时(F 检验)CAR、DPK 增长率、NPL 对银行信贷分配有影响,而部分分析(T 检验)的结果是 CAR、DPK 增长率对信贷分配没有显著影响,原因是银行收集的资金超过了 IDX 提供的参考值,因此银行有资金没有分配。可以说,CAR、DPK 的数量对信贷分配没有影响,而对 NPL 有明显的负面影响,这意味着如果信贷分配增加,银行将经历 NPL 或不良信贷的增加,这个问题要求银行限制信贷资金的分配,以减少银行面临的损失水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
THE INFLUENCE OF CAPITAL ADEQUACY (CAR), GROWTH OF THIRD PARTY FUNDS (DPK), NON-PERFORMING CREDIT (NPL) ON CREDIT DISTRIBUTION OF CONVENTIONAL COMMERCIAL BANKS ON THE INDONESIAN STOCK EXCHANGE 2017–2021
Credit distribution carried out by banks is one of the state's income sectors, which in this case is used to maintain economic stability, improve the level of community welfare, help develop MSMEs through capital loans provided by banks, therefore indirectly credit distribution is carried out banking is an effort to increase the level of welfare of citizens, the level of demand for credit has increased from year to year. On the other hand, banks also consider CAR, DPK, NPL obtained from lending, there is a fear that banks will not be able to collect funds, excessive credit distribution will result in risks bad and non-performing loans widened which made banks lose their balance. The aim of this research is to determine empirically the influence of the capital adequacy ratio, growth of third party funds, non-performing loans on the distribution of bank credit registered in BEI for the 2017-2021 period. The population in this research is 46 banks. With this population, banking samples were taken using the method purposive sampling resulted in 26 banks that met the specified criteria. The type and source of data obtained from secondary data sources, the research method used is quantitative using multiple linear regression processed with the SPSS16 program. The results of multiple linear regression analysis and hypothesis testing can be concluded that simultaneously (F test) CAR, DPK Growth, NPL have an effect on banking credit distribution, while the results of partial analysis (T test) CAR, DPK Growth do not have a significant effect on credit distribution due to funds collected by the bank exceeds the reference provided by the IDX so that the bank has funds that are not distributed. It can be said that the amount of CAR, DPK has no influence on credit distribution, while for NPL it has a significant negative effect, which means that if credit distribution increases, the bank will experience The increase in NPL or bad credit, this problem requires banks to limit the distribution of credit funds in order to reduce the level of losses faced by banks.
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