摘要
以上市企业为样本,采用数据包络分析(DEA)与主成分分析(PCA)有机结合的方法,对我国互联网企业运营效率进行综合评价,并且分析相关因素对运营效率的影响。研究发现:(1)基于效率主成分可就企业类型进行划分,且该种划分与互联网企业主营业务存在明显的对应关系;(2)互联网企业效率的区分度主要源于市场影响力,其次是创收能力,再次是协调能力;(3)企业规模、监管机制、企业类型、发展潜力等对互联网企业运营效率有正向影响,而上市年限则对互联网企业运营效率有负向影响。
Taking listed enterprises as the sample,this paper comprehansively evaluated the operational efficiency of Chinese internet enterprises by using the methods of data envelopment analysis(DEA)and principal component analysis(PCA),and then analyzed the related influencing factors.The findings were as follows.Firstly,we could classify the types of enterprises according to efficiency principal component,and there was a close correspondence between this method and the main business of internet enterprises.Secondly,the influencing factors of differentiation degree,in descending order of importance,included market power,revenue generating ability and coordination capability.Thirdly,the positive influencing factors of corporate operatino efficiency included enterprise size,regulatory mechanism,corporate type and development potential,while listed years had a negative impact on operation efficiency.
作者
赵陆亮
马赞甫
ZHAO Lu-liang;MA Zan-fu(College of Big Data Statistics,Guizhou University of Finance and Economics,Guiyang 550025;Guizhou Key Laboratory of Economics System Simulation,Guizhou University of Finance and Economics,Guiyang 550025,China)
出处
《统计学报》
2020年第6期1-12,共12页
Journal of Statistics
基金
国家自然科学基金项目(71463008)
贵州财经大学文理交叉项目(2019XJC01)。
关键词
互联网企业
运营效率
企业类型
主营业务
区分度
internet company
operational efficiency
types of enterprises
main business
degree of differentiation