摘要
采用网络数据包络分析(data envelopment analysis,DEA)方法作为评价模型,选取2009~2015年我国省级面板数据,测算了金融系统与科技系统的投入产出效率以及这2个系统的协同效率,运用Moran指数检验协同效率的空间相关性.研究结果发现:我国科技金融协同效率存在较大发展空间,且各地区存在显著差异,仅北京、上海和江苏3个省市的协同效率在样本期间内均为DEA有效;从时间来看,协同效率呈现逐年上涨趋势且7年间涨幅大于15%;从空间来看,协同效率呈现良好的空间相关性且相关性逐年递增,广东和重庆的邻接省市的协同效率还有待提升.最后,针对研究结果给出了相应对策建议,为提升我国科技金融协同效率提供参考.
Based on the provincial panel data from 2009 to 2015,using network data envelopment analysis(DEA),this study measures the input-output efficiency of the financial and technology systems and their cooperative efficiency.The Moran index is used to test the spatial correlation of cooperative efficiency.The results revealed that there is a large promotion space for the cooperative efficiency of China’s technology and financial systems.There are significant differences among regions,and only Beijing,Shanghai,and Jiangsu reach DEA efficiency.In terms of the time dimension,the cooperative efficiency shows an upward trend year by year and increases by 15%in seven years.In terms of the space dimension,the efficiency of each system shows good spatial correlation,and the correlation increases year by year.The cooperative efficiency of neighboring provinces of Guangdong and Chongqing needs to be improved.Based on the research results,this study puts forward some suggestions for improving the coordination of China’s science financial and technology systems.
作者
施明康
于丽英
SHI Mingkang;YU Liying(School of Management,Shanghai University,Shanghai 200444,China)
出处
《上海大学学报（自然科学版）》
CAS
CSCD
北大核心
2020年第6期1015-1025,共11页
Journal of Shanghai University:Natural Science Edition
关键词
科技金融
协同效率
网络DEA
MORAN指数
science finance
cooperative efficiency
network data envelopment analysis(DEA)
Moran index
作者简介
通信作者:于丽英(1969-),女,教授,博士生导师,博士,研究方向为创新与知识管理.E-mail:yuliying@shu.edu.cn。
