| 谭涛,吴江,王旻轲,申文东.“21世纪海上丝绸之路”沿线国家商业银行效率研究[J].数量经济技术经济研究,2020,(5):60-77 |
| “21世纪海上丝绸之路”沿线国家商业银行效率研究 |
| Research on the Efficiency of Commercial Banks in Countries along the “21st Century Maritime Silk Road” |
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| DOI： |
| 中文关键词: “21世纪海上丝绸之路”动态网络数据包络分析非期望数据包络分析商业银行 |
| 英文关键词: “21st Century Maritime Silk Road” Dynamic Network DEA Model Undesirable DEA Commercial Bank |
| 基金项目:本文获得2018年成都市软科学研究项目“成都市科技金融创新效率测度及提升路径研究”（2017-RK00-00229-ZF）、2017年度国家统计局统计信息技术与数据挖掘重点开放实验室开放课题“四川省工业绿色全要素生产率评价研究”（SDL201707）的资助。 |
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| 中文摘要: |
| 研究目标：研究“21世纪海上丝绸之路”沿线29个国家2012~2016年商业银行的效率变化及效率的影响因素。研究方法：将商业银行的经营过程看成一个两阶段的动态网络结构，提出了一种新的动态网络DEA评价模型及相应的效率分解方式。研究发现：“21世纪海上丝绸之路”沿线国家商业银行的无效率程度高达93.23%，非利息收入和净利息收入不足是导致商业银行效率水平偏低的主要原因。南亚地区的商业银行效率相对较高，东南亚和东亚的商业银行效率水平一般，西亚地区相对较差。低收入国家的商业银行效率较高，中等偏上收入国家次之，高收入国家的效率水平一般，中等偏下收入国家效率最差。股份制商业银行的效率要高于非股份制，国有的要高于非国有的，上市的要高于非上市的，规模大的商业银行效率相对较高。外商投资、信贷比重、经营成本、银行规模对商业银行的效率有显著影响。研究创新：应用非期望的两阶段动态网络DEA模型研究“21世纪海上丝绸之路”沿线国家商业银行的效率变化。研究价值：丰富了动态网络DEA模型的相关理论，为“21世纪海上丝绸之路”沿线国家商业银行的效率改进提供了政策参考。 |
| 英文摘要: |
| Research Objectives:Study on the efficiency changes and influencing factors of commercial banks in 29 countries along the “21st Century Maritime Silk Road” in 2012~2016. Research Methods:Considering the operation process of commercial banks as a two-stage dynamic network structure, a new dynamic network DEA evaluation model and corresponding efficiency decomposition method are proposed. Research Findings:The research shows that as following.The inefficiency rate of commercial banks in the countries along the “21st Century Maritime Silk Road” is 93.23%. The main reason for the low efficiency level of commercial banks is the lack of non-interest income and net interest income. The efficiency of commercial banks in South Asia is relatively high, that in Southeast Asia and East Asia is average, and that in West Asia is relatively poor. The efficiency of commercial banks in low-income countries is higher, followed by upper middle-income countries, high-income countries, and lower middle-income countries. The efficiency of joint-stock commercial banks is higher than that of non-stock commercial banks, state-owned commercial banks are higher than non-state-owned commercial banks, listed commercial banks are higher than non-listed commercial banks.Foreign investment, credit proportion, operating cost and bank scale have significant influence on the efficiency of commercial banks. Research Innovations:This paper studies the efficiency changes of commercial banks along the “21st century Maritime Silk Road” by using the unexpected two-stage dynamic network DEA model. Research Value:It enriches the theory of dynamic network DEA model and provides policy reference for the efficiency improvement of commercial banks along the “21st Century Maritime Silk Road”. |
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