Proceedings of the 5th International Conference on Economic Development and Business Culture (ICEDBC 2025)

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Insights into Economic Green Transformation through Electricity Data: an Empirical Analysis Taking a Central Province as an Example

Authors
Xiang Wang1, *, Fei Wu2, Yanru Ma2, Li Wang2, Chang Liu3
1State Grid Energy Research Institute Co., LTD., Beijing, 102209, China
2Economic and Technological Research Institute of State Grid Anhui Electric Power Co., LTD., Hefei, 241009, China
3North China Electric Power University, Beijing, 102206, China
*Corresponding author. Email: wangxiang@sgeri.sgcc.com.cn
Corresponding Author
Xiang Wang
Available Online 26 February 2026.
DOI
10.2991/978-94-6239-604-3_44How to use a DOI?
Keywords
Electric power data; Economy; Green transformation; Central region; Empirical analysis
Abstract

Green transformation and development is an important issue of global concern and one of the key paths for China’s high-quality economic growth. This paper, in combination with the national policies on green transformation and the relevant requirements of State Grid Corporation of China, constructs a green transformation and development index system covering three major dimensions: energy structure optimization, industrial greening, and terminal electrification, with 15 representative power indicators. Taking a certain province in central China as an example, the index weights are determined through the Analytic Hierarchy Process (AHP), and then the index is synthesized and the process of economic green transformation is evaluated. The assessment results from 2015 to 2025 show that the long-term trend of economic green transformation is determined by the optimization of the energy structure, with terminal electrification providing a stable increment, while the change in the pace of industrial greening brings about phased fluctuations.

Copyright
© 2026 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 5th International Conference on Economic Development and Business Culture (ICEDBC 2025)
Series
Advances in Economics, Business and Management Research
Publication Date
26 February 2026
ISBN
978-94-6239-604-3
ISSN
2352-5428
DOI
10.2991/978-94-6239-604-3_44How to use a DOI?
Copyright
© 2026 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  - Xiang Wang
AU  - Fei Wu
AU  - Yanru Ma
AU  - Li Wang
AU  - Chang Liu
PY  - 2026
DA  - 2026/02/26
TI  - Insights into Economic Green Transformation through Electricity Data: an Empirical Analysis Taking a Central Province as an Example
BT  - Proceedings of the 5th International Conference on Economic Development and Business Culture (ICEDBC 2025)
PB  - Atlantis Press
SP  - 426
EP  - 437
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-604-3_44
DO  - 10.2991/978-94-6239-604-3_44
ID  - Wang2026
ER  -