摘要
21世纪以来,我国对汽油消费量日益增大,针对机动车汽油消费量影响因素的研究已经很多,但至今尚未定论,而对大同市此方面的研究更是寥寥无几。以汽车保有量、机动汽油零售价、人口数、国民生产总值(GNP)和国民生产总值指数等5个因素为解释变量,以机动车汽油消费量为被解释变量,构建机动车汽油消费回归模型;选用2001—2010年时间序列样本数据,采用最小二乘法进行回归分析,对大同的机动车汽油消费量进行实证分析,以为决策者提供可靠的数据支持。
Since 21st century, the consumption of gasoline has been continuously increasing, llaere are many studies in this field, however,little in Datong. In this paper, with five factors as the explaining variables, including automobile possession, the price of motor petrol, the population, gross national product ( GNP), and GDP index, and with gasoline consumption of motor vehicles as the explained variable,the regression model of motor vehicle gasoline consumption has been established. Meanwhile, an empirical analysis is carried out a- round the gasoline consumption of motor vehicles, which is based on the time series sample data of 2001 - 2010, and by means of a least square regression analysis method. And this study can provide some reliable data support for decision makers.
出处
《西安石油大学学报(社会科学版)》
2013年第3期42-45,103,共5页
Journal of Xi’an Shiyou University:Social Science Edition
关键词
汽油消费量
回归分析
最小二乘法
gasoline consumption
Regression analysis
the least square method