Research on Green-credit Policy of Commercial Bank Based on Evolutionary Game Theory and DID Model

被引:0
作者
Zhong, Xiong [1 ,2 ]
Xu, Dilong [1 ,2 ]
Chen, Zhiyan [3 ,4 ]
机构
[1] Guangzhou Univ, Financial Res Inst, Guangzhou 510000, Guangdong, Peoples R China
[2] Guangzhou Int Inst Finance, Guangzhou 510000, Guangdong, Peoples R China
[3] Guangzhou Univ, Sch Econ, Guangzhou 510000, Guangdong, Peoples R China
[4] Guangzhou Univ, Inst Stat, Guangzhou 510000, Guangdong, Peoples R China
来源
Proceedings of the 2016 2nd International Conference on Economics, Management Engineering and Education Technology (ICEMEET 2016) | 2016年 / 87卷
关键词
commercial bank; green-credit policy; evolutionary game theory; double-difference model; bank performance;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
green-credit policy is one of the important channels for the conversation and development of environmental protection, it is also the main direction for Chinese commercial bank to implement reform and development, which arises high attention from all sectors of community. This paper is based on evolutionary game theory to discuss the factors of affecting green-credit policy implemented by commercial bank. It uses DID model to implement demonstration data analysis, learn its effect on performance of commercial bank. Results indicate that increasing green-credit policy revenue, reducing cost, strengthening the punishment cost without implementing green-credit policy can effectively promote the initiative of commercial bank to implement green-credit policy. Although the current effect is not so obvious, green-credit policy of commercial bank will bring plenty of advantages with the policy improvement and time progress, we should continually implement green-credit policy.
引用
收藏
页码:903 / 908
页数:6
相关论文
共 9 条
[1]  
[Anonymous], 2011, THESIS
[2]  
[Anonymous], 2012, Study on the low-carbon economy model of panjiang coal mining area
[3]  
Jiang Xianling, 2016, MODERN MANAGEMENT SC, P15
[4]  
Li Cheng, 2016, NANFANG FINANCE, P47
[5]  
Long Weiyang, 2013, REFORM EC SYSTEM, P155
[6]  
Mo Fan, 2011, BUSINESS TIMES, P83
[7]  
Wang Chaodi, 2012, RES FINANCE SUPERVIS, P80
[8]  
Zhang Saiying, 2013, KNOWLEDGE EC, P80
[9]  
Zhang W., 2006, Game Theory and Information Economics