The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
Bank profitability and inflation: the case of China
Open accessAbstract
Purpose: The purpose of this paper is to evaluate the determinants of bank profitability in China. It examines the effects of inflation on bank profitability, while controlling for comprehensive bank‐specific and industry‐specific variables. Design/methodology/approach: The sample comprises a total of 101 banks (five state‐owned banks, 12 joint‐stock commercial banks and 84 city commercial banks). The period under consideration extends from 2003‐2009. The two step generalized methods of moments (GMM) estimators are applied. Findings: Empirical results exhibit that there is a positive relationship between bank profitability, cost efficiency, banking sector development, stock market development and inflation in China. The authors report that low profitability can be explained by higher volume of non‐traditional activity and higher taxation. Moreover, the authors confirm that there is a competitive environment in the Chinese banking industry. Furthermore, the authors propose policy actions that should be taken to improve bank profitability in China. Research limitations/implications: Further research can be conducted by investigating the profitability of numerous branches of all national banks and its determinants. Practical implications: The findings of the current study have considerable policy relevance. First, Chinese banks should emphasize the improvement of labour management and training skills, the purpose of which is to increase their productivity and boost the profitability. Furthermore, the government should gradually continue to open the banking and stock market, as the development of the financial sector is helpful in increasing the banks' profitability in China. Originality/value: Particular emphasis will be placed on the investigation into the effect of inflation on bank profitability while controlling for most comprehensive internal and external factors.
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Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Another look at the instrumental variable estimation of error-components models
Arellano, M., & Bover, O. (1995) · Journal of Econometrics · doi:10.1016/0304-4076(94)01642-d · Cited by 19,880
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
Roodman, D. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900106 · Cited by 9,848
Finance and Growth: Schumpeter Might Be Right
King, R. G., & Levine, R. (1993) · The Quarterly Journal of Economics · doi:10.2307/2118406 · Cited by 8,657
Financial Dependence and Growth
Rajan, R., & Zingales, L. (1996) · National Bureau of Economic Research · doi:10.3386/w5758 · Cited by 7,730
Kennedy, P. (1979) · Cited by 4,340
Finance, entrepreneurship and growth
King, R. G., & Levine, R. (1993) · Journal of Monetary Economics · doi:10.1016/0304-3932(93)90028-e · Cited by 3,550
Stock Markets, Banks, and Economic GrowthPreprint
Levine, R. E., & Zervos, S. (1996) · RePEc: Research Papers in Economics · Cited by 3,155
Metadata
- Authors
- Tan, Y., & Floros, C.
- Venue
- Journal of Economic Studies
- Publisher
- Emerald
- Published
- 2012-10-26
- Volume
- 39
- Issue
- 6
- Pages
- 675-696
- ISSN
- 0144-3585 (ISSN-L)
- OpenAlex
- W2082102618
- Cited by
- 320
- References
- 42
- FWCI
- 12.74
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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