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金融研究  2016, Vol. 435 Issue (9): 115-130    
  本期目录 | 过刊浏览 | 高级检索 |
农村信用社区域性风险影响因素分析——基于面板数据Logit模型
钱水土,陈鑫云
浙江工商大学金融学院,浙江杭州 310018
On the Influencing Factors of Rural Credit Cooperatives’ Regional Risk:Based on the Logit Model of Panel Data
QIAN Shuitu ,CHEN Xinyun
School of Finance,Zhejiang Gongshang University
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摘要 本文基于Z省81家农村信用社2006~2012年数据,采用逐步回归法,筛选出7个关键性指标,并在此基础上建立起农村信用社区域性风险影响因素的面板数据Logit模型。结果显示:生产总值增长率、资本充足率、非利息收入比重、拨备覆盖率、净资产收益率、行业管理制度数的增加有助于降低农村信用社区域性风险,而贷款资产比的提高则会增加区域性风险。本文建议,应进一步关注农村信用社区域性风险,提升资本充足水平,推动农村信用社多元化发展,提升资产收益水平,发挥行业管理作用。
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钱水土
陈鑫云
关键词:  农村信用社  区域性风险  影响因素  面板Logit    
Abstract:  This paper selects seven key indicators by using the stepwise regression and establishes a logit model on panel data of the influencing factors of Rural Credit Cooperatives regional risk including Z province’s 81 Rural Credit Cooperatives from 2006 to 2012. The results show that GDP growth, capital adequacy ratio, the proportion of non-interest income, provision coverage, ROE and industrial regulations help alleviate Rural Credit Cooperatives’ regional risk, and an increase of ratio of loan assets deteriorates the regional risk. This paper suggest that Rural Credit Cooperatives’ regional risk should be further concerned; increasing the capital, promoting diversified development, increasing the level of asset returns, and exerting industrial regulation’s function should be necessary in the future.
Key words:  Rural Credit Cooperatives    Regional Risk    Factors    Panel Data Logit
JEL分类号:  G21   Q14  
基金资助: 本文感谢国家自然科学基金项目(71273239)、教育部人文社会科学规划基金(11YJA790119)和浙江省高校人文社科重点研究基地(应用经济学)资助。
作者简介:  钱水土,管理学博士,教授,浙江工商大学金融学院,Email:qsht@zjsu.edu.cn.陈鑫云,博士研究生,浙江工商大学金融学院,Email:xychen1980@126.com.
引用本文:    
钱水土, 陈鑫云. 农村信用社区域性风险影响因素分析——基于面板数据Logit模型[J]. 金融研究, 2016, 435(9): 115-130.
QIAN Shuitu , CHEN Xinyun. On the Influencing Factors of Rural Credit Cooperatives’ Regional Risk:Based on the Logit Model of Panel Data. Journal of Financial Research, 2016, 435(9): 115-130.
链接本文:  
http://www.jryj.org.cn/CN/  或          http://www.jryj.org.cn/CN/Y2016/V435/I9/115
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