On the Evaluation of Performance System Incorporating “Green Credit” Policies in China’s Financial Industry

Abstract

The main work of this paper is aimed, through utilizing the two-stage optimization theory, to estimate the green distance functions and Malmquist green growth indexes for the China’s main commercial banks and relevant financial institutions, and to further set up an overall appraisal index system to assess their performance in implementing the “Green Credit” principles. The paper also analyzes effects of the “Green Credit” policies influential on revenue achievements, as well as performs a decomposition analysis of the above impacts. The carry-outs of the paper may serve as useful references and guiding means in achievingChina’s economic transitional strategies of sustainable development.

Share and Cite:

Xu, L. (2013). On the Evaluation of Performance System Incorporating “Green Credit” Policies in China’s Financial Industry. Journal of Financial Risk Management, 2, 33-37. doi: 10.4236/jfrm.2013.22005.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] Chen, W. G., & Lu, L. G. (2011). External obstacles of Green Credit of China Commercial Bank and constructing the framework of environmental risk management. Guangdong Academy Journal of Finance, 26, 66-76.
[2] China’s Banking Association (CBA) (2010). China’s banking social responsibility report on 2006-2010. Beijing.
[3] China’s Environmental Protection Administration (CEPA), People’s Bank of China (PBC), & China’s Banking Regulatory Commission (CBRC) (2007). Opinions on the implementation of environmental protection policies and regulations to protect credit risks. Bulletin of the China’s Environmental Protection Administration, Beijing.
[4] Dang, C. F. (2009). Thinking about our national commercial bank to promote Green Credit. Economics and Finance, 2, 51-53.
[5] Fei, Y. (2008). On the Green Credit and environmental risk management. Operational Managers, 9, 10-14.
[6] Grosskopf, S. (2003). Some remarks on productivity and its decompositions. Journal of Productivity Analysis, 20, 459-474. doi:10.1023/A:1027364119672
[7] Hou, S. Y. (2006). The measurement of the dynamic productivity index of China’s commercial bank. Journal of Henan Cadre Institute of Financial Management, 4, 65-69.
[8] Jeucken, M. (2001). Sustainable finance and banking: The financial sector and the future of the planet. London: Earthscan Publications Ltd.
[9] Labatt, S., & White, R. R. (2002). Environmental finance: A guide to environmental risk assessment and financial products. New York: John Wiley and Sons Ltd.
[10] Li, H. Y., & Feng, D. F. (2007). Barriers of the implementation of environmental protection financial policy and improvement methods. Environmental Protection, 12, 38-42.
[11] Pastor, J. T., & Knox Lovell, C. A., (2007). Circularity of the malmquist productivity index. Economic Theory, 33, 591-599. doi:10.1007/s00199-006-0169-4
[12] Wang, H. T., & Chen, B. Q. (2006). Environmental finance: Financial innovation and circular economic win-win path. Shanghai Finance, 6, 29-31.
[13] Xu, L., Bao, S. M., & Mai, Y. (2011). Comparative researches of financial productivity on the 16 cities in China’s Yangtze River Delta Region. Journal of Convergence Information Technology, 6, 235-247.
[14] Zheng, C. (2008). Green Credit: International practice and reference. Journal of Financial Management and Research, 10.
[15] Zhu, L., & Yu, W. Y. (2011). Interest analysis of participating the Green Credit from the perspective based on the game theory. Journal of Southern Agriculture, 42, 1025-1028.
[16] Zhu, X. G., & Wang, X. J. (2009). Deepening the green financial policy. World Environment, 4. 88-91.
[17] Zuo, R. J., & Guo, K. J. (2010). SWOT analysis on developing Green Credit in our country’s commercial bank. Financial Development Research, 7, 69-72.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.