2016
DOI: 10.1186/s40589-016-0034-y
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Non-performing loans (NPLs), liquidity creation, and moral hazard: Case of Chinese banks

Abstract: Background: This study analyzes the impact of non-performing loans (NPLs) on bank liquidity creation to investigate the existence of moral hazard problem in Chinese banks. Methods: It uses data from 197 listed and unlisted Chinese banks, spanning the period 2005 to 2014. Generalized method of moments (GMM) estimation, fixed and random effect model, and pool data techniques have been used for analysis. Results: Total liquidity creation by Chinese banks is declining, and NPLs ratio has started to increase follow… Show more

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citations
Cited by 18 publications
(19 citation statements)
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References 54 publications
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“…A moral hazard hypothesis suggests that an increase in NPLs may result in higher bank liquidity creation (Umar and Sun, 2016). According to Bernanke and Gertler (1989), prudential banks may reduce lending when they faced up with increasing NPLs and the banks having a moral hazard issue tend to advances more loans in the presence of higher levels of bad debts.…”
Section: Methodsmentioning
confidence: 99%
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“…A moral hazard hypothesis suggests that an increase in NPLs may result in higher bank liquidity creation (Umar and Sun, 2016). According to Bernanke and Gertler (1989), prudential banks may reduce lending when they faced up with increasing NPLs and the banks having a moral hazard issue tend to advances more loans in the presence of higher levels of bad debts.…”
Section: Methodsmentioning
confidence: 99%
“…If too many distressed economic projects are funded with loans as a result of the loose evaluation process, banks are likely to face greater risk when these assets deteriorate in value. On the other hand, a study by Umar and Sun (2016) shows an insignificant relationship between liquidity creation and credit risk in China.…”
Section: Literature Reviewmentioning
confidence: 96%
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“…(Kjosevski & Petkovski, 2016) address the reciprocal relationship between NPLs and GDP. Further, (Umar & Sun, 2016) include GDP as a proxy to control the business cycle; here, in the case of Chinese banks, they point out that the influence of GDP on NPLs is unclear. Moreover, (Tanaskovi c & Jandri c, 2015) analyzes the factors that could influence NPLs among CEEC and SEE countries (Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Hungary, Lithuania, Montenegro, FYR Macedonia, Romania, Serbia and Slovenia) for the period 2006 to 2013.…”
Section: Hypothesis Developmentmentioning
confidence: 99%
“…According to reports from the State Statistical Bureau between 1989 and 1998, the balance of credit assets of the four-major state-owned commercial banks were eleven times higher. However, the total profits grew by only 26%, while the management fees were 8.9 times higher (Umar and Sun, 2016).…”
Section: Market Economy and Credit Risk Management In China From 1994mentioning
confidence: 93%