Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis

In recent years, Hunan province has gradually accelerated the adjustment of industrial structure, and has achieved a rapid industrial growth, thereupon the total amount of industrial electricity has increased greatly. There is an internal correlation between the industrial growth and electricity consumption. Therefore, based on this background, this paper established multiple linear regression models to study the influencing factors on the electricity consumption behavior of the three industries with the most electricity consumption in Hunan Province. The regression results show that the iron and steel output, raw coal price index and Mylpic mine price index can significantly affect the electricity consumption of ferrous metal industry. Cement output, cement price and real estate development investment can significantly affect the electricity consumption of non-metal industry. Automobile output, integrated circuit output and per capita disposable monthly income can significantly affect the electricity consumption of transportation and electrical and electronic equipment manufacturing industry in Hunan Province.