Issue |
E3S Web Conf.
Volume 260, 2021
2021 International Conference on Advanced Energy, Power and Electrical Engineering (AEPEE2021)
|
|
---|---|---|
Article Number | 02008 | |
Number of page(s) | 5 | |
Section | Power Electronics Technology and Application | |
DOI | https://doi.org/10.1051/e3sconf/202126002008 | |
Published online | 19 May 2021 |
LMDI decomposition analysis of total electricity consumption growth in Hunan province
1 Energy Internet Supply and Demand Operation Hunan Key Laboratory, 410000 Changsha, China
2 State Grid Hunan Electric Power Company Limited, Economic and Technical Research Institute, 410000 Changsha, China
3 Hunan University, School of Economics and Trade, 410079 Changsha, China
* Corresponding author: 13290037119@163.com
In the past decade, as an important driving force of economic growth, the China’s electricity consumption growth rate has been decoupled from GDP growth rate. The economic reasons behind this abnormal phenomenon are worthy of further study. Based on the LMDI method, this paper built a model to decompose the total electricity consumption in Hunan province from 2010 to 2017 from the industrial and residential perspective. The results showed that: integrally, scale effect was the main driving factor of electricity consumption growth, intensity effect was the main inhibiting factor, and structure effect had no obvious influence; there are significant differences between the results of industrial and residential sectors, for the industry, the productive consumption intensity effect was the most significant factor that inhibited the growth of electricity consumption, while all the effects of residential sector were shown as promotion, and the increase of electricity consumption in the residential sector played a key role in the growth rate of electricity consumption in Hunan province.
© The Authors, published by EDP Sciences, 2021
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.