摘要
安徽近几年发展迅速,但几乎每年的能源生产量均小于消费量,为此需要寻找到降低能源消费的策略。基于所选定的11个指标,通过逐步回归筛选变量建立计量模型,模型通过各项检验,实证分析了安徽省能源消费与各个影响因素之间的数量关系。之后,在计量模型建立的基础上,对各个变量做通径分析,分析各个解释变量对能源消费的直接作用和间接作用。最后,结合上述分析,提出安徽省要在提高能源使用效率和调整产业结构上来降低能源消费。
Anhui Province has been developing rapidly in recent years.However,nearly every year,its energy production is less than its energy consumption.Therefore,it is necessary to find a way to reduce the energy consumption in Anhui Province.Based on the selected 11 indicators,the variables are chosen through stepwise regression and the regression model is thus established,which went through various tests.The quantitative relationship between energy consumption and various factors was analyzed empirically.Then,on the basis of the regression model,the path analysis is made for each variable to analyze the direct and indirect effects of each explanatory variable on energy consumption.Finally,based on the above analysis,this survey proposes that Anhui Province should improve the efficiency of energy use and adjust industrial structure to reduce energy consumption.
作者
汪京徽
徐子媛
李新宇
朱家明
WANG Jing-hui;XV Zi-yuan;LI Xin-yu;ZHU Jia-ming(School of Statistic and Applied Mathematics,Anhui University of Finance and Economics,Bengbu Anhui 233000,China)
出处
《萍乡学院学报》
2018年第6期20-24,共5页
Journal of Pingxiang University
基金
国家自然科学基金(11601001)
国家级大学生创新训练项目(201810378013)
关键词
能源消费
多元逐步回归
通径分析
影响因素
安徽省
energy consumption
multiple stepwise regression
path analysis
influencing factors
Anhui Province