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 con...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2021-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/76/e3sconf_icepese2021_01019.pdf |
| _version_ | 1819081029347966976 |
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| author | Wen Ming Zhang Yun Jia Zhen Tu Xingwen |
| author_facet | Wen Ming Zhang Yun Jia Zhen Tu Xingwen |
| author_sort | Wen Ming |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T19:54:17Z |
| format | Article |
| id | doaj.art-e8e473be243147a4b08cdff3d42aaa4a |
| institution | Directory Open Access Journal |
| issn | 2267-1242 |
| language | English |
| last_indexed | 2024-12-21T19:54:17Z |
| publishDate | 2021-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj.art-e8e473be243147a4b08cdff3d42aaa4a2022-12-21T18:52:08ZengEDP SciencesE3S Web of Conferences2267-12422021-01-013000101910.1051/e3sconf/202130001019e3sconf_icepese2021_01019Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysisWen MingZhang YunJia Zhen0Tu Xingwen1Hunan University, School of Economics and TradeHunan University, School of Economics and TradeIn 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/76/e3sconf_icepese2021_01019.pdf |
| spellingShingle | Wen Ming Zhang Yun Jia Zhen Tu Xingwen Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis E3S Web of Conferences |
| title | Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis |
| title_full | Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis |
| title_fullStr | Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis |
| title_full_unstemmed | Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis |
| title_short | Study on the factors of industrial electricity consumption behavior in Hunan Province based on multiple regression analysis |
| title_sort | study on the factors of industrial electricity consumption behavior in hunan province based on multiple regression analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/76/e3sconf_icepese2021_01019.pdf |
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