摘要
数据包络分析(DEA)是分析横截面数据的一种方法。其中面板数据的处理主要有三种:直接按面板数据处理、按年分成几个横截面数据处理、所有数据放一个横截面处理。基于DEAP2. 1软件以2012-2017年的国有能源上市公司为例,分别用这三种方法进行实证分析并对比结果。结果表明:直接按面板数据处理和按年分成几个横截面处理的实证结果完成相同。而把所有数据放一个横截面处理和面板数据处理的实证结果不具有一致性。
DEA is a method for analyzing cross - sectional data. There are three main types of panel data processing: data processing directly by panel, data processing divided into several cross - sectional sections by year, and all data processing by one cross - sectional section. Based on DEAP2.1 software, this paper takes the state - owned energy listed companies from 2012 to 2017 as an example, and uses these three methods to carry out empirical analysis and compare the results. The results show that the empirical results of direct panel data processing and annual cross - section processing are the same. However, the empirical results of putting all the data into one cross - section processing and panel data processing are not consistent.
作者
向冰
Xiang Bing(School of Economics and Management,Guangdong Polytechnic College, Zhaoqing Guangdong 526000)
出处
《对外经贸》
2019年第3期95-98,共4页
FOREIGN ECONOMIC RELATIONS & TRADE
基金
广东省青年创新人才类项目(项目编号:2016WQNCX166)
校级教改项目(项目编号:JXGG2018027)
