The Effect Corruption on the Financial Health of Islamic Banks
Subject Areas : Financial Knowledge of Securities Analysis
Vahid Bekhradi Nasab
1
(department of accounting, Najaf Abad branch, Islamic Azad Univercity, Najaf Abad, Iran)
Fatemeh Zholanezhad
2
(Department of Accounting, Science and Research Branch of Khuzestan, Islamic Azad University, Khuzestan, Ahvaz, Iran.)
Keywords: Islamic banking, Financial Health, Corruption, Dynamic panel data,
Abstract :
Islamic banking is developing rapidly around the world and is increasingly recognized as a viable alternative mode of financing especially these last years when capitalism has shown its limits and weaknesses. However, this astronomical growth of banking and Islamic finance was associated with a high level of corruption that plagues many Muslim countries. This ailment of corruption can deter Islamic banking to be a better effective and meaningful pathway for poverty reduction and economic development.The purpose of this paper is to investigate the impact of corruption on the soundness of Islamic banks. The purpose of this study is to assess the effect of corruption on the financial health of Islamic banks. The statistical population of this study is all banks accepted in Tehran Stock Exchange during the period from 2011 to 2016. Sample was selected based on the systematic elimination method and 23 banks were the basis for research hypothesis. The research method's research hypothesis and the fitting of the research model have been done using the EViews econometric software. There is a negative and significant relationship between financial corruption with the health of Islamic banks.Evidence of research suggests that, with the intensification of corruption at the country level, the financial health of banks has decreased and corruption has an adverse effect on the financial health of banks. In other words, financial corruption in the country threatens the financial health of banks.
* آقاییچادگانی، آرزو؛ بخردینسب، وحید. (1397). تأثیر درآمد غیربهره‌ای بر ریسک و سودآوری (مورد مطالعه: بررسی تطبیقی بانک‌های سالم مالی و بانک‌های در معرض خطر). فصلنامه مطالعات مالی و بانکداری اسلامی، 4(تابستان)، ص 103-140.
* اشرفزاده، ح. ر.، و مهرگان، ن. (۱۳۸۷). اقتصادسنجی پانل دیتا. تهران: مؤسسه تحقیقات تعاون دانشگاه تهران.
* بخردینسب، وحید؛ ژولانژاد، فاطمه. (1396). بررسی ارتباط تامین مالی اوراق بهادار اسلامی و سودآوری در بازارسرمایه ایران. فصلنامه مطالعات مالی و بانکداری اسلامی، 3(بهار و تابستان)، ص 135-168.
* پوریانسب، آیدا. (١٣92). مفهوم فساد مالی: شکل ها، علت ها، انواع و پیامدها، مجله حسابدار، شماره 259.
* رهبر، فرهاد؛ فضلالله، میرزاوند و غلامرضا زالپور. (١٣٨١). بازشناسی عارضه فساد مالی، جلد یک، جهاد دانشگاهی: دانشکده اقتصاد دانشگاه تهران.
* فتاحی، شهرام؛ رضایی، مهدی؛ جاهد، طاهره. (1396). تأثیر سلامت بانکی بر سودآوری بانک‌های تجاری: رویکرد رگرسیون پانل آستانه. فصلنامه راهبرد مدیریت مالی. مقاله 2، دوره 5، شماره 1، (بهار)، ص 29-50.
* Abid, L., Ouertani, M. N., & Ghorbel, S. (2014). Macroeconomic and bank-specific determinants of household’s non-performing loans in Tunisia: a dynamic panel data. Procedia Economics and Finance, 13, 58–68.
* Ahn, S. C., & Schmidt, P. (1995). Efficient estimation of models for dynamic panel data. Journal of Econometrics, 68, 5–27.
* Ali, A., & Daly, K. (2010). Macroeconomic determinants of credit risk: recent evidence from a cross country study. International Review of Financial Analysis, 19, 165–171.
* Al-Marhubi, F. A. (2000). Corruption and inflation. Economics Letters, 66(2), 199–202.
* Anderson, T. W., & Hsiao, C. (1981). Estimation of dynamic models with error components. Journal of the American Statistical Association, 589–606.
* Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58, 277–297.
* Arellano, M., & Bover, O. (1995). Another look at the instrumental variable estimation of error-components models. Journal of Econometrics, 68,29–51.
* Baele, L., Farooq, M., & Ongena, S. (2014). Of religion and redemption: evidence from default on Islamic loans. Journal of Banking & Finance, 44, 141–159.
* Barth, J. R., Lin, C., Lin, B., & Song, F. M. (2009). Corruption in bank lending to firms: cross-country micro evidence on the beneficial role of competition and information sharing. Journal of Financial Economics, 91, 361–388.
* Beck, T., Demirgüç-Kunt, A., & Merrouche, O. (2013). Islamic vs.conventional banking: business model, efficiency and stability. Journal of Banking & Finance, 37, 433–447.
* Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87, 115–143.
* Boudriga, A., Taktak, N., & Jellouli, S. (2009). Bank specific, business and institutional environment determinants of nonperforming loans: Evidence from MENA countries. Working Paper, Economic Research Forum 16th Annual Conference.
* Bourkhis, K., & Nabi, M. S. (2013). Islamic and conventional banks’ soundness during the 2007–2008 financial crisis. Review of Financial Economics, 22(2), 68–77.
* Chaibi, H., & Ftiti, Z. (2015). Credit risk determinants: evidence from a cross-country study. Research In International Business and Finance, 33, 1–16.
* Dang, V. A., Kim, M. & Shin, Y. (2012). Asymmetric Capital Structure Adjustments: New Evidence from Dynamic Panel Threshold Models. Journal of Empirical Finance, 19(4), 465-482.
* Ebrahim, M.-S., & Safadi, A. (1995). Behavioral norms in the Islamic doctrine of economics: a comment. Journal of Economic Behavior and Organization, 27, 151–157.
* Fernandez de Lis, S., Martinez Pagés, J., & Saurina, J. (2000). Credit growth, problem loans and credit risk provisioning in Spain. Working paper BIS Autumn Central Bank Economist’s Meeting.
* Gambling, T. E., & Karim, R. A. A. (1986). Islam and social accounting. Journal of Business Finance & Accounting, 13, 39–50.
* Goldweski, C. J. (2005). Bank capital and credit risk taking in emerging market economies. Journal of Banking Regulatory, 6, 128–145.
* Hansen, B. E. (1999). Threshold Effects in Non-Dynamic Panels: Estimation, Testing and Inference. Journal of Econometrics, 93(2), 345-368.
* Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988). Estimating vector autoregressions with panel data. Econometrica, 56, 1371–1395.
* Hu, J. L., Li, Y., & Chiu, Y. H. (2004). Ownership and nonperforming loans: evidence from Taiwan’s Banks. The Developing Economies, 42(3), 405–420.
* Imam, P., & Kpodar, K. (2010). Islamic banking: How has it diffused. IMF working paper 10/195.
* Imbierowicz, B. , Rauch, C. (2014), The Relationship between Liquidity Risk and Credit Risk in Banks , Journal of Banking & Finance, 40(1), 242-256
* Jabbar, S. F. A. (2011). Corruption: delving into the muddy water through the lens of Islam. Journal of Financial Crime, 20(2), 139–147.
* Khemraj, T., & Pasha, S. (2009). The determinants of non-performing loans: An econometric case study of Guyana. Munich Personal RePEc Archive Paper 53128.
* La Porta, R., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. W. (1997). Trust in large organizations. American Economic Association Papers and Proceedings, 87(2), 333–338.
* Louzis, D., Vouldis, A. T., & Metaxas, V. L. (2012). Macroeconomic and bank-specific determinants of non-performing loans in Greece: a comparative study of mortgage, business and consumer loan portfolios. Journal of Banking & Finance, 36(4), 1012–1027.
* Makri, V., Tsagkonas, A., & Bellas, A. (2014). Determinants of non-performing loans: the case of Eurozone. Panoeconomicus, 61(2), 193–206.
* Masood, O., Suwaidi, H., & Thapa, P. D. P. (2012). Credit risk management: a case differentiating Islamic and non-Islamic banks in UAE. Qualitative Research in Financial Markets, 4(2/3), 197–205.
* Mokhtar, H. S. A., Abdullah, N., & Al-Habshi, S. M. (2006). Efficiency of Islamic banking in Malaysia: a stochastic frontier approach. Journal of Economic Cooperation, 27, 37–70.
* Mokhtar, M., & Zakaria, Z. (2009). Classification and management of non-performing loans of Islamic banks and conventional banks: a comparative study. Jurnal Teknologi, 51, 31–56.
* Olson, D., & Zoubi, T. A. (2008). Using accounting ratios to distinguish between Islamic and conventional banks in the GCC region. The International Journal of Accounting, 43, 45–65.
* Park, J. (2012). Corruption. soundness of the banking sector and economic growth: a cross-country study. Journal of International Money and Finance, 31, 907–929.
* Podpiera, J., & Weill, L. (2008). Bad luck or bad management? Emerging banking market experience. Journal of Financial Stability, 4(2), 135–148.
* Rosly, S. A. (2005). Critical issues on Islamic banking and financial markets: Islamic economics, banking and finance, investments, Takaful and financial planning. Dinamas Publishing.
* Salas, V., & Saurina, J. (2002). Credit risk in two institutional regimes: Spanish commercial and savings banks. Journal of Financial Services Research, 22,203–224.
* Stern, G., & Feldman, R. (2004). Too big to fail: The hazards of bank bailouts. Washington, DC: the Brookings Institution.
* Swaleheen, M. U. (2008). Corruption and saving in a panel of countries. Journal of Macroeconomics, 30(3), 1285–1301.
* Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of Public Economics, 76, 399–457.
* Waemustafa, W., & Sukri, S. (2015). Bank specific and macroeconomics dynamic determinants of credit risk in Islamic banks and conventional banks. International Journal of Economics and Financial, 5(2), 476–481.
* Yousfi, O. (2013). Does PLS financing solve asymmetric information problems. Journal of Islamic Economics, Banking and Finance, 9(3), 11–26.
* Zribi, N., & Boujelbène, Y. (2011). The factors influencing bank credit risk: the case of Tunisia. Journal of Accounting and Taxation, 3(4), 70–78.
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