Determinants of non-performing financing in Indonesian Islamic banks: A regional and sectoral analysis

This study investigates the impact of political instability, macroeconomic and bank-specific factors on the profitability of Islamic banks in the context of Yemen. The study used two common measures of profitability, namely, Return on Assets (ROA) and Return on Equity (ROE) as dependent variables. Seven key independent (internal and external) variables are also used. There are five fully-fledged Islamic banks (IBs) working in Yemen. The study selected only three out of five IBs due to the availability of data for the period ranging from 2010 to 2014. The descriptive and multiple regression analyses were done. The results of the study indicate that operating efficiency and financial risk have negative and significant relationships with ROA and ROE. The findings also show that capital adequacy has a negative and insignificant relationship with ROA and ROE. Furthermore, the study reveals that assets size (LogA), assets management, liquidity and deposits have a significant and positive impact on banks’ profitability. GDP, Inflation rate (IR) and Political instability have positive and significant impact on Yemeni banks’ profitability. Based on the best knowledge of the authors, this study is considered one of the first and pioneering studies that determine the factors affecting the profitability of Islamic banks of Yemen. Therefore, the study gives good insights for the policy makers, regulators and interested parties for enhancing the profitability of Islamic banks in Yemen.

This study aims to investigate the impact of Good Corporate Governance (GCG) on the financial performance of sharia banking. GCG is measured by the Board of Commissioners Performance, the Board of Commissioners Composition, the Number of Audit Committees, the Board of Directors, and the Sharia Supervisory Board Performance, whereas financial performance is proxied by Return on Assets, financing risk (Non-Performing Financing), and capital (Capital Adequacy Ratio). Sharia commercial banks registered by Bank Indonesia made the sample of this study. Annual reports and GCG reports of sharia commercial banks from 2014 to 2017 are used as a data source. The study uses a panel data regression approach to analyze the data; some interesting results have been obtained. The Sharia board positively affected financial performance of Islamic banks in terms of return on assets and capital adequacy ratio, and negatively as to non-performing financing. Similarly, the board of directors had a significant impact on the financial performance of Islamic banks in the same direction as the sharia supervisory board in terms of the three components. Meanwhile, the board of commissioners had a significant and positive impact only on the return on assets of Islamic banks in Indonesia.

This study is aimed at analyzing the financial performance and indicator of macroeconomics to influence the quality of financing at Islamic Rural Bank Industry (IRBI) in Indonesia. The panel data regression is used to predict the change of quality of financing which is reflected by value of non-performing financing (NPF). The model of this study is grouped by four areas of working zones because IRBI has different competency depending on its region. The sample of the study used 72 IRBIs in the periods of Quarter II 2010 to Quarter I 2016. The results of the study show that simultanuously variables for the size of banks, financing to deposit ratio (FDR), operational efficiency ratio (OER), return on equity (ROE), expense to assets (EA), percentage of gross domestic product (GDP), and the rate of inflation are statistically significant to non-performing financing of the IRBI in Indonesia. GDP has strongly significant impact on the NPF of IRBI in Indonesia. According to Areas of working zones, inflation has quite significant impact on the IRBI in Zone One, and GDP has strongly significant impact on the IRBI in Zone Two, Zone Three, and Zone Four. Nevertheless, there are different effects of GDP towards NPF which has a negative impact on Zone One and Zone Four, meanwhile Zone Two and Zone Three have positive impact. In conclusion, government policy treatment should be different at every zone.