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    经济经纬 2017 Issue (6) :147-151
    财政金融 最新目录 | 下期目录 | 过刊浏览 | 高级检索 |
    基于区域和时间两个维度的我国金融业效率评价
    杨中宣1, 杨洋洋2
    1.中原工学院 系统与工业工程技术研究中心,河南 郑州 450007;
2.中原工学院 建筑工程学院,河南 郑州 450007
    Efficiency Evaluation of China’s Financial Industry From Geographical and Temporal Dimensions
    YANG Zhong-xuan1,YANG Yang-yang2
    1.System and Industrial Engineering Technology Research Center, Zhongyuan University of Technology,Zhengzhou 450007,China;
2.School of Architecture and Civil Engineering, Zhongyuan University of Technology,Zhengzhou 450007,China
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摘要 综合运用DEA方法和ANN方法,以我国省域2003—2015年金融业相关数据为样本,从区域和时间两个维度测度我国金融业效率和金融业效率影响因素。结果表明:从区域维度来看,我国大部分地区规模效率位于技术效率和纯技术效率的上方,纯技术效率曲线与技术效率曲线基本重合,各地区金融业效率影响因素重要性由大到小依次是产业结构(0.304)、经济增长速度(0.288)、劳动生产率(0.229)、企业规模(0.092)和投资力度(0.087)。从时间维度来看,2003—2015年,规模效率变化较大,技术效率和纯技术效率曲线基本重合,金融业效率影响因素重要性由大到小依次是产业结构(0.346)、劳动生产率(0.309)、经济增长速度(0.154)、投资力度(0.143)和企业规模(0.047)。总体来看,我国各地区金融业效率水平参差不齐,产业结构是影响我国金融业效率的主要因素。
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杨中宣
杨洋洋
关键词金融业   效率   DEA方法   ANN方法   影响因素     
Abstract: Adopting both DEA and ANN methods and using data of the financial industry in China from 2003 to 2015, this paper measures the efficiency of China’s financial industry and its influencing factors from geographical and temporal dimensions. Geographically speaking, the results show that the scale efficiency of most regions in China is higher than technical efficiency and pure technical efficiency, the curves for which coincide with each other. Ranked in terms of importance, the influencing factors of financial industry efficiency are industrial structure (0.304), economic growth rate (0.288), labor productivity (0.229), scale of enterprise (0.092) and investment efforts (0.087). Temporally speaking, from 2003 to 2015, the scale efficiency undergoes a big change while the curves for technical efficiency and pure technical efficiency coincide with each other. Ranked in terms of importance, the influencing factors of financial industry efficiency are industrial structure (0.346), labor productivity(0.309), economic growth rate (0.154), investment efforts (0.143), scale of enterprise(0.047). Overall, the efficiency of financial industry in different regions are uneven and industrial structure is a major influencing factor of financial industry efficiency in China.
KeywordsFinancial Industry;Efficiency   DEA Method   ANN Method;Influencing Factors     
收稿日期 2017-04-25; 接受日期 2017-11-22;
基金资助:河南省科技厅科技攻关项目( 162102210091)
作者简介: 杨中宣(1976— ),男,河南郑州人,博士,副教授,主要从事建筑经济和金融工程研究;杨洋洋(1992— ),女,河南周口人,硕士研究生,主要从事建筑经济和金融工程研究。
引用本文:   
杨中宣, 杨洋洋.基于区域和时间两个维度的我国金融业效率评价[J].  经济经纬, 2017,6: 147-151
YANG Zhong-xuan,YANG Yang-yang.Efficiency Evaluation of China’s Financial Industry From Geographical and Temporal Dimensions[J]  Economic Survey, 2017,V34(6): 147-151
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