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JACIII Vol.22 No.6 pp. 793-799
doi: 10.20965/jaciii.2018.p0793
(2018)

Paper:

Effective and Sustainable Strategy of Chinese Banks Based on Input-Output Increased DEA Design

Zui Yi Shen*, Bing Xu**, and Mohib Ur Rahman**

*School of Management & Economics, Zhejiang Ocean University
No.1 Haida South Road, Lincheng, Changzhi Island, Zhoushan, Zhejiang 316022, China

**Research Institute of Quantitative Economics, Zhejing Gongshang University
No.18 Xuezheng Road, Xiasha University Town, Hangzhou 310018, China

Received:
August 21, 2017
Accepted:
December 19, 2017
Published:
October 20, 2018
Keywords:
banking reform, efficiency and sustainability, input-output increased, generalized data envelopment analysis
Abstract

The analysis of optimal output efficiency with traditional data envelopment analysis (DEA) cannot be directly applied to a production strategy of promoting the sustainable development of Chinese banks, because both inputs and outputs increase during economic development. In this paper, a new DEA is presented with two innovations. The First innovation is that, the research data are extended to time-series data instead of cross-section data as before. The second is, the simultaneous increase in input and output from the input/output decrease/increase production is developed. As an application of the BCC (Banker, Charnes, Cooper) Bi-objective Generalized DEA (Bi-GDEA) model, the simulation strategies were well implemented in Chinese banks in 2017 using data from 2004 to 2015. The three inputs and one output of the banking sector have been adjusted to make each year’s decision making unit (DMU) efficient in the framework of 2004 to 2017, and both inputs and outputs are monotone increased. It may provide an alternative strategy for the effectiveness and sustainability of Chinese banks development.

Cite this article as:
Z. Shen, B. Xu, and M. Rahman, “Effective and Sustainable Strategy of Chinese Banks Based on Input-Output Increased DEA Design,” J. Adv. Comput. Intell. Intell. Inform., Vol.22, No.6, pp. 793-799, 2018.
Data files:
References
  1. [1] D. Aigner, C. A. K. Lovell, and P. Schmidt, “Formulation and estimation of stochastic frontier production models,” J. of Econometrics, Vol.6, No.1, pp. 21-37, 1977.
  2. [2] A. Charnes, W. W. Cooper, and E. Rhodes, “Measuring the Efficiency of Decision Making Units,” European J. of Operational Research, Vol.2, No.6, pp. 429-444, 1978.
  3. [3] J. Zhang, “Efficiency Analysis of Commercial Banks in China,” J. of Financial Research, Vol.12, No.6, pp. 121-134, 2003 (in Chinese).
  4. [4] T. Qi and D. Yang, “Commercial Bank Efficiency based on scale economies and technical progress,” J. of Guangdong Finance Academy, Vol.24, No.1, pp. 15-27, 2009 (in Chinese).
  5. [5] D. Holod and H. F. Lewis, “Resolving the deposit dilemma: A new DEA bank efficiency model,” J. of Banking & Finance, Vol.35, No.11, pp. 2801-2810, 2011.
  6. [6] J. Shyu and T. Chiang, “Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis,” Expert Systems with Applications, Vol.39, No.13, pp. 11494-11502, 2012.
  7. [7] Z. Fungáčová, P. Pessarossi, and L. Weill, “Is bank competition detrimental to efficiency? Evidence from China,” China Economic Review, Vol.27, pp. 121-134, 2013.
  8. [8] Z. Svitalkova, “Comparison and Evaluation of Bank Efficiency in Selected Countries in EU,” Procedia Economics and Finance, Vol.12, pp. 644-653, 2014.
  9. [9] M. C. V. Manlagnit, “Basel regulations and banks’ efficiency: The case of the Philippines,” J. of Asian Economics, Vol.39, pp. 72-85, 2015.
  10. [10] H. T. M. Phan, K. Daly, and S. Akhter, “Bank efficiency in emerging Asian countries,” Research in int. Business and Finance, Vol.38, pp. 517-530, 2016.
  11. [11] M. Delis, M. Iosifidi, and M. G. Tsionas, “Endogenous bank risk and efficiency,” European J. of Operational Research, Vol.260, No.1, pp. 376-387, 2017.
  12. [12] Z. Ma, “Analysis model and software design of data envelopment,” Systems Engineering and Electronics, Vol.26, No.12, pp. 124-135, 2002.
  13. [13] A. Emrouznejad, B. R. Parker, and G. Tavares, “Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA,” Socio-Economic Planning Sciences, Vol.42, No.3, pp. 151-157, 2008.
  14. [14] W. D. Cook and L. M. Seiford, “Data envelopment analysis (DEA) – Thirty years on,” European J. of Operational Research, Vol.192, No.1, pp. 1-17, 2009.
  15. [15] Q. Wei, “Data envelope analysis,” Chinese Science Bulletin, Vol.46, No.16, pp. 1321-1332, 2001.
  16. [16] Q. Wei, H. Yan, and L. Xiong, “A bi-objective generalized data envelopment analysis model and point-to-set mapping projection,” European J. of Operational Research, Vol.190, No.3, pp. 855-876, 2008.
  17. [17] S. M. Collins and B. P. Bosworth, “Economic growth in East Asia: accumulation versus assimilation,” Brookings Papers on Economic Activity, Vol.27, No.2, pp. 135-203, 1996.

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Last updated on Nov. 12, 2018