Analysis on the spatiotemporal evolution mechanism of electricity consumption inequality in China

LIU Tian; ZHANG Shining; WENG Yuwei; ZHANG Chaoyi; LIU Tongming

doi:10.11930/j.issn.1004-9649.202508055

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Analysis on the spatiotemporal evolution mechanism of electricity consumption inequality in China

更新时间：2026-07-01

- Analysis on the spatiotemporal evolution mechanism of electricity consumption inequality in China
- Vol. 59, Issue 6, Pages: 13-23(2026)
- 作者机构：
  
  全球能源互联网集团有限公司,北京,100031
- 作者简介：
- 基金信息：
- DOI：10.11930/j.issn.1004-9649.202508055
  CLC：
- Online First：22 June 2026，
  
  Published：2026
- 稿件说明：
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刘添, 张士宁, 翁宇威, 张超义, 刘通明. 中国电力消费不均衡性变化及时空演化机理分析[J]. 中国电力, 2026, 59(6): 13-23.

LIU Tian, ZHANG Shining, WENG Yuwei, et al. Analysis on the spatiotemporal evolution mechanism of electricity consumption inequality in China[J]. 2026, 59(6): 13-23.
刘添, 张士宁, 翁宇威, 张超义, 刘通明. 中国电力消费不均衡性变化及时空演化机理分析[J]. 中国电力, 2026, 59(6): 13-23. DOI： 10.11930/j.issn.1004-9649.202508055.

LIU Tian, ZHANG Shining, WENG Yuwei, et al. Analysis on the spatiotemporal evolution mechanism of electricity consumption inequality in China[J]. 2026, 59(6): 13-23. DOI： 10.11930/j.issn.1004-9649.202508055.

摘要

能源转型需要兼顾公平，能源公平是联合国可持续发展目标的核心诉求。从人口和地区面积的双重视角计算电力消费的基尼系数，量化评估电力消费不均衡性的时空演化趋势，采用贝叶斯线性回归模型识别其关键驱动因素。研究发现，中国及全球电力消费不公平程度存在显著差异，中国电力快速发展对全球用电不均衡性改善发挥了重要作用。电力消费重心先后呈现“南移–西进–稳定”的态势，重心西移驱动电力消费基尼系数下降。GDP和城镇化率与电力消费分布均衡化呈正相关，高压及以上输电线路扩张在跨区域资源调配中发挥作用。基于关键驱动因素分析，提出了以经济激活、差距削减、技术赋能、体制破除为抓手的促进电力消费均衡发展的多维路径。

Abstract

Energy transition needs to balance equity

which is a core demand of the United Nations Sustainable Development Goals. From the dual perspectives of population and regional area

this study calculates the Gini coefficient of electricity consumption to quantitatively assess the spatiotemporal evolution of electricity consumption inequality

and employs a Bayesian linear regression model to identify its key driving factors. The findings indicate that significant disparities exist in the level of electricity consumption inequality between China and the global average

with China's rapid power development playing a crucial role in mitigating global electricity consumption inequality. The gravity center of electricity consumption has shown a trend of "shifting south – advancing west – stabilization" in turn

with the westward movement driving a decline in the Gini coefficient of electricity consumption. GDP and urbanization rate are positively correlated with the equalization of electricity consumption distribution

and the expansion of transmission lines of high-voltage and above has played a role in cross-regional resource allocation. Based on the analysis of key driving factors

a multidimensional development path for promoting the balanced development of electricity consumption is proposed

which takes economic activation

gap reduction

technological empowerment

and institutional reform as the key measures.

关键词

Keywords

references

2张士宁, 侯方心, 文亚, 等. 基于分层LMDI分解法的电力二氧化碳排放因子驱动因素分析及国际对比[J]. 中国电力, 2025, 58 (12): 96- 106.

ZHANG Shining, HOU Fangxin, WEN Ya, et al. Drivers of the electricity carbon emission factor: an LMDI-based analysis and international comparison[J]. Electric Power, 2025, 58 (12): 96- 106.

3周原冰, 张士宁, 侯方心, 等. 电力行业碳达峰及促进全社会碳减排影响分析[J]. 中国电力, 2024, 57 (9): 1- 9.

ZHOU Yuanbing, ZHANG Shining, HOU Fangxin, et al. Analysis of carbon peaking in power sector and its impact on promoting whole-society carbon emissions reduction[J]. Electric Power, 2024, 57 (9): 1- 9.

4窦晓铭, 庄贵阳, 王思博. 碳中和目标下公正转型的主流化: 概念源起与政策设计[J]. 北京工业大学学报(社会科学版), 2026, 26 (1): 104- 117.

DOU Xiaoming, ZHUANG Guiyang, WANG Sibo. Mainstreaming of carbon neutrality-oriented just transition: conceptual origins and policy design[J]. Journal of Beijing University of Technology (Social Sciences Edition), 2026, 26 (1): 104- 117.

5张莹, 陈一鸣. 欧盟构建公正转型机制的进展与启示[J]. 阅江学刊, 2025, 17 (3): 45- 57, 170–171.

ZHANG Ying, CHEN Yiming. Progress and implications of building a just transition mechanism in the European union[J]. Yuejiang Academic Journal, 2025, 17 (3): 45- 57, 170–171.

6周旭. 中国气候公正转型法律的现状检视与发展展望[J]. 中国人口·资源与环境, 2024, 34 (11): 100- 107.

ZHOU Xu. Current situation review and development prospects of China’s climate justice transition law[J]. China Population, Resources and Environment, 2024, 34 (11): 100- 107.

7张玲, 寸雨琳梓. 公正视角下我国能源转型的法律保障[J]. 昆明学院学报, 2024, 46 (2): 72- 78.

ZHANG Ling, CUN Yulinzi. Legal protection of China’s energy transition from the perspective of justice[J]. Journal of Kunming University, 2024, 46 (2): 72- 78.

8党牛, 陈达荃, 王强, 等. 能源转型对城乡能源公平的影响机制[J]. 资源科学, 2024, 46 (9): 1768- 1779.

DANG Niu, CHEN Daquan, WANG Qiang, et al. Influence mechanism of energy transition on urban-rural energy equity[J]. Resources Science, 2024, 46 (9): 1768- 1779.

9吴蒙, 周冯琦, 程进, 等. 中国区域终端能源电气化与社会公平耦合协调时空格局及影响因素[J]. 资源科学, 2024, 46 (9): 1793- 1806.

WU Meng, ZHOU Fengqi, CHENG Jin, et al. Spatiotemporal patterns and influence factors of coupling coordination between regional final energy electrification and social equity in China[J]. Resources Science, 2024, 46 (9): 1793- 1806.

10张妮妮, 徐卫军. 中国省际间农村生活用电的不平衡性分析[J]. 技术经济, 2011, 30 (1): 89- 94, 111.

ZHANG Nini, XU Weijun. Analysis on imbalance of electricity consumption of rural residents[J]. Journal of Technology Economics, 2011, 30 (1): 89- 94, 111.

11杨兆福, 刘红, 袁永娜. 中国家庭能源消费的多维特征及公平性分析[J]. 环境科学, 2026, 47 (4): 2190- 2203.

YANG Zhaofu, LIU Hong, YUAN Yongna. Multi-dimensional features and equity analysis of household energy consumption in China[J]. Environmental Science, 2026, 47 (4): 2190- 2203.

12魏艳华, 王丙参, 马立平. 中国经济高质量发展水平差异分解与影响因子分析[J]. 济宁学院学报, 2024, 45 (2): 28- 39.

WEI Yanhua, WANG Bingcan, MA Liping. Decomposition and influential factor analysis of differences of high-quality economy development level in China[J]. Journal of Jining University, 2024, 45 (2): 28- 39.

13ZHANG H Y, ZHANG W, LU Y L, et al. Worsening carbon inequality embodied in trade within China[J]. Environmental Science & Technology, 2023, 57 (2): 863- 873.

14雷少波, 仝晨华, 肖斌, 等. 中国电力行业碳排放时空分布及影响因素研究[J]. 计量科学与技术, 2024, 68 (11): 29- 33, 70.

LEI Shaobo, TONG Chenhua, XIAO Bin, et al. Research on the spatio-temporal distribution and influencing factors of carbon emissions in China’s power industry[J]. Metrology Science and Technology, 2024, 68 (11): 29- 33, 70.

15张莹, 王泽根, 杨也, 等. 基于重心和自相关分析的中国能源生产消费时空格局演化特征研究[J]. 全球能源互联网, 2023, 6 (5): 547- 557.

ZHANG Ying, WANG Zegen, YANG Ye, et al. Evolutionary characteristics of spatial and temporal patterns of energy production and consumption in China based on the center of gravity and autocorrelation analysis[J]. Journal of Global Energy Interconnection, 2023, 6 (5): 547- 557.

16HUANG W H. Sources of inequality in household electricity consumption: evidence from Taiwan[J]. Energy Sources, Part B: Economics, Planning, and Policy, 2022, 17, 1966133.

17VOLODZKIENE L, STREIMIKIENE D. Energy inequality indicators: a comprehensive review for exploring ways to reduce inequality[J]. Energies, 2023, 16 (16): 6075.

18CHEN H T, ZHANG B, LIU H, et al. The inequality in household electricity consumption due to temperature change: data driven analysis with a function-on-function linear model[J]. Energy, 2024, 288, 129742.

19SIMIONESCU M, OANCEA B. Does income inequality influence energy consumption in the European union?[J]. Energies, 2025, 18 (4): 787.

20LI M H, LIU X X, YANG M. Analyzing the regional inequality of renewable energy consumption and its driving factors: evidence from China[J]. Renewable Energy, 2024, 223, 120043.

21ZHONG L, LIN Y P, YANG P, et al. Quantifying the inequality of urban electric power consumption and its evolutionary drivers in countries along the Belt and Road: insights from satellite perspective[J]. Energy, 2024, 312, 133425.

22SHI P X, ZHANG A R. Calculating the upper bound of the Gini coefficient using grouped data and a case study of China[J]. Science China Mathematics, 2025, 68 (10): 2501- 2518.

23尹雪华, 李翔. 基尼系数的计算与分解方法的再研究[J]. 统计与决策, 2025, 41 (1): 47- 51.

YIN Xuehua, LI Xiang. Re-study on calculation and decomposition methods of gini coefficient[J]. Statistics & Decision, 2025, 41 (1): 47- 51.

28World Bank. Poverty, prosperity, and planet report 2024: pathways out of the polycrisis[M]. Washington, DC: World Bank, 2025.

29中国信息通信研究院. 全球数字经济白皮书(2023年)[R]. 北京: 中国信息通信研究院, 2024.

32电力规划设计总院. 2024年度中国电力市场发展报告[R]. 北京: 电力规划设计总院, 2025.

34王耀华, 李晓纯, 杨宇, 等. 全球能源转型与地缘环境的交互关系[J]. 中国电力, 2025, 58 (12): 1- 13.

WANG Yaohua, LI Xiaochun, YANG Yu, et al. Interactions between global energy transition and geopolitical environment[J]. Electric Power, 2025, 58 (12): 1- 13.

35汲国强, 段金辉, 吴姗姗, 等. 2026年及“十五五”全国电力供需形势分析展望[J]. 中国电力, 2026, 59 (2): 13- 23.

JI Guoqiang, DUAN Jinhui, WU Shanshan, et al. Analysis and outlook on national power supply-demand situation for 2026 and the 15th Five-Year Plan period[J]. Electric Power, 2026, 59 (2): 13- 23.

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