| Issue |
E3S Web Conf.
Volume 528, 2024
2024 3rd International Symposium on New Energy Technology Innovation and Low Carbon Development (NET-LC 2024)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 4 | |
| Section | Smart Grid and Hydropower Resources Development | |
| DOI | https://doi.org/10.1051/e3sconf/202452802004 | |
| Published online | 28 May 2024 | |
Quantitative Study of Post-Pandemic Electricity Productivity Fluctuations Based on LMDI
1 State Grid Energy Research Institute Co.Ltd., Beijing,
2 State Grid Zhejiang Electric Power Co., Ltd, Hangzhou, China
3 State Grid Zhejiang Electric Power Co., Ltd. Economic and Technological Research Institute, Hangzhou, China
* Corresponding author’s e-mail: wushanshan@sgeri.sgcc.com.cn
This study focuses on China's electricity productivity post-pandemic, employing the Logarithmic Mean Divisia Index (LMDI) method and the Kaya identity. Despite the clarity of the electricity productivity indicator, factors like industrial structure, energy efficiency, and electrification rates contribute to fluctuations. Quantitative analysis reveals a decisive role of the terminal electrification rate in declining electricity productivity. The proposed analytical method provides a more accurate assessment of electricity's contribution to economic growth, aiding informed policy decisions for sustainable energy development in China.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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