Institutional quality and risk in the banking system


  • Nguyen Phuc Canh The Faculty of Banking, University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam
  • Christophe Schinckus University of the Fraser Valley, Abbotsford, Canada
  • Thanh Dinh Su The Faculty of Public Finance, University of Economics Ho Chi Minh City, Ho Chi Minh City, Vietnam
  • Felicia Hui Ling Chong Taylor’s University, Subang Jaya, Malaysia


Institutions, Default risk, Credit risk, Banking system, Income levels


Purpose. This paper aims to offer an empirical study of the impact of institutional quality on the banking system risk and credit risk.

Design/methodology/approach. Applying cross-sectional dependent tests and stationary tests to check the property of our sample, the panel corrected standard errors model is recruited as the main estimator, while feasible generalized least squares, pool ordinary least squares (OLS), robust pool OLS and other estimators are used as a robustness check for an unbalanced panel data for 56 economies divided into three subsamples between 2002 and 2015.

Findings. The empirical results show several significant contributions. First, an improvement in institutional quality is an important factor to reduce the banking system risk. This effect of the institutions is less important in well-capitalized, highly profitable and in high-economic growth countries. This effect is also stronger in highly liquid banking systems. Notably, a better institutional quality helps to reduce the banking system risk in the highly concentrated banking system. Second, institutional quality has a significant negative relationship with the banking credit risk, especially in highly concentrated banking systems and in high-growth countries. This influence is weaker in highly liquid and well-capitalized banking systems. Finally, better institutions reduce the positive effect of trade openness, but it induces a higher credit risk for the banking system from the trade openness. Notably, a better institutional quality enhances the negative effect of foreign direct investment (FDI) inflow on both banking system risk and credit risk. These findings are documented for a global sample and three subsamples: low and lower-middle-income economies, upper-middle-income economies and high-income economies.

Originality/value. This study provides some recommendations, for policymakers, on the roles of institutions in the banking system and financial stability.



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Agarwal, S., Ambrose, B.W., Chomsisengphet, S. and Liu, C. (2016), “Joint liability lending and credit risk: evidence from the home equity market”, Journal of Housing Economics, Vol. 32, pp. 47-66.

Agnello, L., Furceri, D. and Sousa, R.M. (2011), “Fiscal policy discretion, private spending, and crisis episodes”, Banque de France Working Paper No. 354.

Altunbas, Y., Gambacorta, L. and Marques-Ibanez, D. (2010), “Bank risk and monetary policy”, Journal of Financial Stability, Vol. 6 No. 3, pp. 121-129.

Altunbas, Y., Gambacorta, L. and Marques-Ibanez, D. (2012), “Do bank characteristics influence the effect of monetary policy on bank risk?”, Economics Letters, Vol. 117 No. 1, pp. 220-222.

Backé, P. and Wójcik, C. (2008), “Credit booms, monetary integration and the new neoclassical synthesis”, Journal of Banking and Finance, Vol. 32 No. 3, pp. 458-470.

Bailey, D. and Katz, J.N. (2011), “Implementing panel corrected standard errors in R: the pcse package”, Journal of Statistical Software, Vol. 42 No. Code Snippet 1, pp. 1-11.

Bardhan, P. (1989), “The new institutional economics and development theory: a brief critical assessment”, World Development, Vol. 17 No. 9, pp. 1389-1395.

Beekman, G., Bulte, E. and Nillesen, E. (2014), “Corruption, investments and contributions to public goods: experimental evidence from rural Liberia”, Journal of Public Economics, Vol. 115, pp. 37-47.

Beltratti, A. and Stulz, R.M. (2012), “The credit crisis around the globe: why did some banks perform better?”, Journal of Financial Economics, Vol. 105 No. 1, pp. 1-17.

Bliss, R.R. and Kaufman, G.G. (2002), “Bank procyclicality, credit crunches, and asymmetric monetary policy effects: a unifying model”, FRB of Chicago Working Paper No. 2002-18.

Bloom, G., Standing, H. and Lloyd, R. (2008), “Markets, information asymmetry and health care: towards new social contracts”, Social Science and Medicine, Vol. 66 No. 10, pp. 2076-2087.

Cao, K.H. and Birchenall, J.A. (2013), “Agricultural productivity, structural change, and economic growth in post-reform China”, Journal of Development Economics, Vol. 104, pp. 165-180.

Choi, I. (2001), “Unit root tests for panel data”, Journal of International Money and Finance, Vol. 20 No. 2, pp. 249-272.

Cohen, K.J., Hawawini, G.A., Maier, S.F., Schwartz, R.A. and Whitcomb, D.K. (1983), “Friction in the trading process and the estimation of systematic risk”, Journal of Financial Economics, Vol. 12 No. 2, pp. 263-278.

Combes, J.-L. and Saadi-Sedik, T. (2006), “How does trade openness influence budget deficits in developing countries?”, The Journal of Development Studies, Vol. 42 No. 8, pp. 1401-1416.

Driffield, N.L., Mickiewicz, T. and Temouri, Y. (2013), “Institutional reforms, productivity and profitability: from rents to competition?”, Journal of Comparative Economics, Vol. 41 No. 2, pp. 583-600.

Epifani, P. and Gancia, G. (2009), “Openness, government size and the terms of trade”, Review of Economic Studies, Vol. 76 No. 2, pp. 629-668.

Gambacorta, L. (2005), “Inside the bank lending channel”, European Economic Review, Vol. 49 No. 7, pp. 1737-1759.

Ghosh, S. (2013), “Do economic reforms matter for manufacturing productivity? Evidence from the Indian experience”, Economic Modelling, Vol. 31, pp. 723-733.

Harvey, A.C. (1976), “Estimating regression models with multiplicative heteroscedasticity”, Econometrica, Vol. 44 No. 3, pp. 461-465.

Herrera-Echeverri, H., Haar, J. and Estévez-Bretón, J.B. (2014), “Foreign direct investment, institutional quality, economic freedom and entrepreneurship in emerging markets”, Journal of Business Research, Vol. 67 No. 9, pp. 1921-1932.

Ho, T.S. and Michaely, R. (1988), “Information quality and market efficiency”, The Journal of Financial and Quantitative Analysis, Vol. 23 No. 1, pp. 53-70.

Hoque, H., Andriosopoulos, D., Andriosopoulos, K. and Douady, R. (2015), “Bank regulation, risk and return: evidence from the credit and sovereign debt crises”, Journal of Banking and Finance, Vol. 50, pp. 455-474.

Im, K.S., Pesaran, M.H. and Shin, Y. (2003), “Testing for unit roots in heterogeneous panels”, Journal of Econometrics, Vol. 115 No. 1, pp. 53-74.

Imbierowicz, B. and Rauch, C. (2014), “The relationship between liquidity risk and credit risk in banks”, Journal of Banking and Finance, Vol. 40, pp. 242-256.

In’airat, M. (2014), “Aid allocation, selectivity, and the quality of governance”, Journal of Economics Finance and Administrative Science, Vol. 19 No. 36, pp. 63-68.

Jaloudi Mutasem, M. (2019), “The efficiency of Jordan insurance companies and its determinants using DEA, slacks, and logit models”, Journal of Asian Business and Economic Studies, Vol. 26 No. 1, pp. 153-166.

Jönsson, K. (2005), “Cross‐sectional dependency and size distortion in a small‐sample homogeneous panel data unit root test”, Oxford Bulletin of Economics and Statistics, Vol. 67 No. 3, pp. 369-392.

Jude, C. and Levieuge, G. (2015), “Growth effect of FDI in developing economies: the role of institutional quality”, Banque de France Working Paper No. 559.

Kashyap, A.K. and Stein, J.C. (1995), “The impact of monetary policy on bank balance sheets”, Carnegie-Rochester Conference Series on Public Policy, Elsevier.

Kashyap, A.K. and Stein, J.C. (2000), “What do a million observations on banks say about the transmission of monetary policy?”, American Economic Review, Vol. 90 No. 3, pp. 407-428.

Larsson, T. (2006), “Reform, corruption, and growth: why corruption is more devastating in Russia than in China”, Communist and Post-Communist Studies, Vol. 39 No. 2, pp. 265-281.

Liao, H.-H., Chen, T.-K. and Lu, C.-W. (2009), “Bank credit risk and structural credit models: agency and information asymmetry perspectives”, Journal of Banking and Finance, Vol. 33 No. 8, pp. 1520-1530.

Lindset, S., Lund, A.-C. and Persson, S.-A. (2014), “Credit risk and asymmetric information: a simplified approach”, Journal of Economic Dynamics and Control, Vol. 39, pp. 98-112.

López, M., Tenjo, F. and Zárate, H. (2014), “Credit cycles, credit risk and countercyclical loan provisions”, Ensayos Sobre Política Económica, Vol. 32 No. 74, pp. 9-17.

Mandala, I.G.N.N., Nawangpalupi, C.B. and Praktikto, F.R. (2012), “Assessing credit risk: an application of data mining in a rural bank”, Procedia Economics and Finance, Vol. 4, pp. 406-412.

Marcucci, J. and Quagliariello, M. (2009), “Asymmetric effects of the business cycle on bank credit risk”, Journal of Banking and Finance, Vol. 33 No. 9, pp. 1624-1635.

Marques, A.C. and Fuinhas, J.A. (2012), “Is renewable energy effective in promoting growth?”, Energy Policy, Vol. 46, pp. 434-442.

Miller, S. (2015), “Information and default in consumer credit markets: evidence from a natural experiment”, Journal of Financial Intermediation, Vol. 24 No. 1, pp. 45-70.

Neyer, U. (2004), “Asymmetric information in credit markets–implications for the transition in Eastern Germany”, Economic Systems, Vol. 28 No. 1, pp. 61-78.

Ngo Tra, T., Le Minh, Q. and Ngo Thanh, P. (2019), “Incorporating risk into technical efficiency for Vietnam’s and ASEAN banks”, Journal of Asian Business and Economic Studies, Vol. 26 No. 1, pp. 2-16.

Nguyen, C.P. (2018), “The effectiveness of fiscal policy: contributions from institutions and external debts”, Journal of Asian Business and Economic Studies, Vol. 25 No. 1.

Nguyen, C.P., Schinckus, C. and Thanh, S.D. (2018), “Do economic openness and institutional quality influence patents? Evidence from GMM systems estimates”, International Economics, doi: 10.1016/j.inteco.2018.1010.

Nguyen, C.P. and Thong, N.T. (2016), “Institution, external debts and fiscal policy: an empirical investigation in Asia pacific countries: the policies and sustainable economic development conference”, Journal of Economic Development,

Nguyen, C.P., Su, T.D. and Nguyen, T.V.H. (2018), “Institutional quality and economic growth: the case of emerging economies”, Theoretical Economics Letters, Vol. 8 No. 11, p. 1943.

Nguyen, C., Schinckus, C., Dinh Su, T. and Chong, F. (2018), “Institutions, inward foreign direct investment, trade openness and credit level in emerging market economies”, Review of Development Finance, Vol. 8 No. 2, pp. 75-88.

Nguyen, V.H.T. and Boateng, A. (2013), “The impact of excess reserves beyond precautionary levels on bank lending channels in China”, Journal of International Financial Markets, Institutions and Money, Vol. 26, pp. 358-377.

Nguyen, V.H.T. and Boateng, A. (2015), “An analysis of involuntary excess reserves, monetary policy and risk-taking behaviour of Chinese banks”, International Review of Financial Analysis, Vol. 37, pp. 63-72.

Nguyen, V.H.T., Boateng, A. and Newton, D. (2015), “Involuntary excess reserves, the reserve requirements and credit rationing in China”, Applied Economics, Vol. 47 No. 14, pp. 1424-1437.

O'hara, M. and Shaw, W. (1990), “Deposit insurance and wealth effects: the value of being too big to fail”, The Journal of Finance, Vol. 45 No. 5, pp. 1587-1600.

Papachristos, A.V. (2011), “Too big to fail”, Criminology and Public Policy, Vol. 10 No. 4, pp. 1053-1061.

Park, J. (2012), “Corruption, soundness of the banking sector, and economic growth: a cross-country study”, Journal of International Money and Finance, Vol. 31 No. 5, pp. 907-929.

Pesaran, M.H. (2004), General Diagnostic Tests for Cross Section Dependence in Panels, Cambridge University.

Pesaran, M.H. (2007), “A simple panel unit root test in the presence of cross‐section dependence”, Journal of Applied Econometrics, Vol. 22 No. 2, pp. 265-312.

Qu, W., Wongchoti, U., Wu, F. and Chen, Y. (2018), “Does information asymmetry lead to higher debt financing? Evidence from China during the NTS reform period”, Journal of Asian Business and Economic Studies, Vol. 25 No. 1, pp. 109-121.

Rajan, R. and Dhal, S.C. (2003), “Non-performing loans and terms of credit of public sector banks in India: an empirical assessment”, Occasional Papers, Vol. 24 No. 3, pp. 81-121.

Rajan, R.G. (2006), “Has finance made the world riskier?”, European Financial Management, Vol. 12 No. 4, pp. 499-533.

Ramos-Tallada, J. (2015), “Bank risks, monetary shocks and the credit channel in Brazil: identification and evidence from panel data”, Journal of International Money and Finance, Vol. 55, pp. 135-161.

Strobel, J., Salyer, K.D. and Lee, G.S. (2018), “Uncertainty, agency costs and investment behavior in the euro area and in the USA”, Journal of Asian Business and Economic Studies, Vol. 25 No. 1, pp. 122-143.

Su, D.T., Nguyen, C.P. and Schinckus, C. (2019), “Impact of foreign direct investment, trade openness and economic institutions on growth in emerging countries: the case of Vietnam”, Journal of International Studies, Vol. 12 No. 3.

Tajik, M., Aliakbari, S., Ghalia, T. and Kaffash, S. (2015), “House prices and credit risk: evidence from the United States”, Economic Modelling, Vol. 51, pp. 123-135.

Tran Nam, H. and Dat Le, C. (2019), “Governance quality, foreign direct investment, and entrepreneurship in emerging markets”, Journal of Asian Business and Economic Studies, Vol. 26 No. 2, pp. 238-264.

Vo, X.V. and Nguyen, P.C. (2014), “Monetary policy and bank credit risk in Vietnam pre and post global financial crisis”, Risk Management Post Financial Crisis: A Period of Monetary Easing (Contemporary Studies in Economic and Financial Analysis, Vol. 96, Emerald Group Publishing, Bingley, pp. 277-290, doi: 10.1108/S1569-375920140000096011.

Williamson, O.E. (1981), “The economics of organization: the transaction cost approach”, American Journal of Sociology, Vol. 87 No. 3, pp. 548-577.

Yurdakul, F. (2014), “Macroeconomic modelling of credit risk for bank”, Procedia – Social and Behavioral Sciences, Vol. 109, pp. 784-793.

Zhang, S. (2016), “Institutional arrangements and debt financing”, Research in International Business and Finance, Vol. 36, pp. 362-372.




How to Cite

Phuc Canh, N., Schinckus, C., Dinh Su, T., & Ling Chong, F. H. (2021). Institutional quality and risk in the banking system. Journal of Economics, Finance and Administrative Science, 26(51), 22–40. Retrieved from