Multivariate Linear Analysis of Energy Consumption in Anhui Province

Xiaoyu Zhu 1* , Ling Shi 2 , Lei Yu 3

1 Institute of International Economics and Trade, Anhui University of Finance and Economics, Bengbu, 233030, China

2 Institute of Finance, Anhui University of Finance and Economics, Bengbu, 233030, China

3 Institute of Preschool Education, Jiangsu Second Normal University, Nanjing, 210000, China

Abstract: Energy is an essential factor for modern economic and social development and daily lives of people. Establishing a regression model of energy consumption is of great significance for predicting future energy consumption, formulating energy supply plans, and saving and efficient use of energy in Anhui Province. This study used the data of Anhui Province from 2000 to 2018 to sort out a multivariate regression model using eviews software; and it is regression tested according to related theories to make it have a higher degree of fit and practicability. Research results: Among the energy consumption in Anhui Province, the three indicators of the province's GDP, population number of household registration, and coal consumption have the greatest impact on them. It also proposed that Anhui Province should actively make energy strategic plans, carry out scientific and technological innovation, and develop new energy in the future energy utilization, in order to provide some policy ideas for the study of energy consumption in Anhui Province.

Keywords: Energy consumption; Stepwise regression model; Test of regression model; Eviews