Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)

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Energy Industry Correlation Analysis Based on Input-output Table and Electricity Consumption: A Case Study of Gansu Province

Authors
Jing Li1, *, Lingzhi Zhang1, Xiang Wang2
1State Grid Gansu Electric Power Company, Gansu, China
2State Grid Energy Research Institute Co., Ltd., Beijing, China
*Corresponding author. Email: li-jing@gs.sgcc.com.cn
Corresponding Author
Jing Li
Available Online 26 December 2025.
DOI
10.2991/978-94-6463-980-3_31How to use a DOI?
Keywords
Input-Output Table; Energy Industry; Industrial Correlation; Electricity Consumption; Gansu Province
Abstract

The relationship between electricity and the economy has always been a focal point in electricity development. Based on Gansu Province’s 2017 input-output table and electricity consumption data during the “14th Five-Year Plan” period, this paper analyzes the economic status and electricity consumption characteristics of the energy industry from two dimensions: industrial correlation and electricity consumption growth. The study finds that Gansu’s energy industry holds a prominent position in the industrial sector but accounts for a limited share of the overall economy. The energy industry has weak backward correlations and strong forward correlations, with the electricity sector being highly sensitive to economic fluctuations. Analysis of electricity consumption growth shows that electricity consumption in the coal mining industry has rebounded significantly, the gas industry has experienced negative growth due to the impact of new energy substitution, and the growth rate of electricity and heat production is relatively low. Finally, policy recommendations are put forward to provide references for Gansu’s energy planning and industrial structure optimization.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
Series
Advances in Computer Science Research
Publication Date
26 December 2025
ISBN
978-94-6463-980-3
ISSN
2352-538X
DOI
10.2991/978-94-6463-980-3_31How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jing Li
AU  - Lingzhi Zhang
AU  - Xiang Wang
PY  - 2025
DA  - 2025/12/26
TI  - Energy Industry Correlation Analysis Based on Input-output Table and Electricity Consumption: A Case Study of Gansu Province
BT  - Proceedings of the 2025 5th International Conference on Business Administration and Data Science (BADS 2025)
PB  - Atlantis Press
SP  - 330
EP  - 339
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-980-3_31
DO  - 10.2991/978-94-6463-980-3_31
ID  - Li2025
ER  -