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地理学报 >

2025 , Vol. 80 >Issue 4: 1052 - 1067

DOI: https://doi.org/10.11821/dlxb202504012

城市与区域发展

广东省城乡居民用电不平等性的时空特征

  • 薛嘉顺 , 1, 2 ,
  • 杨宇 , 1, 2 ,
  • 方创琳 1, 2 ,
  • 张璐 1 ,
  • 张海平 1 ,
  • 张新 3
展开
  • 1.中国科学院地理科学与资源研究所 中国科学院区域可持续发展分析与模拟重点实验室，北京 100101
  • 2.中国科学院大学资源与环境学院，北京 100049
  • 3.中国科学院空天信息创新研究院，北京 100101
杨宇(1984-), 男, 山东威海人, 研究员, 博士生导师, 主要从事能源地理与区域发展研究。E-mail:

薛嘉顺(1997-), 男, 江苏苏州人, 博士生, 主要从事能源地理与区域发展研究。E-mail:

收稿日期: 2024-03-11

  修回日期: 2025-01-16

  网络出版日期: 2025-04-23

基金资助

国家自然科学基金项目(42121001)

国家自然科学基金项目(42130712)

国家自然科学基金项目(72348003)

收起

Urban-rural residential electricity consumption inequality in Guangdong

  • XUE Jiashun , 1, 2 ,
  • YANG Yu , 1, 2 ,
  • FANG Chuanglin 1, 2 ,
  • ZHANG Lu 1 ,
  • ZHANG Haiping 1 ,
  • ZHANG Xin 3
Expand
  • 1. Key Laboratory of Regional Sustainable Development Analysis and Simulation, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
  • 2. College of Resouces and Environment, University of Chiense Academy of Sciences, Beijing 100049, China
  • 3. Aerospace Information Research Institute, CAS, Beijing 100101, China

Received date: 2024-03-11

  Revised date: 2025-01-16

  Online published: 2025-04-23

Supported by

National Natural Science Foundation of China(42121001)

National Natural Science Foundation of China(42130712)

National Natural Science Foundation of China(72348003)

Fold

摘要

居民生活用电的平等性问题是联合国可持续发展目标SDG 7的重要内容，而广东省是中国城乡融合的领先省份，其城乡居民生活用电的平等性及其变化具有典型性和代表性。然而，目前缺乏基于精细尺度数据实现地理空间的城乡居民生活用电统计和分析。本文基于夜间灯光遥感、全球人类居住层（GHSL）等数据，研发了2000—2020年连续21年的500 m网格城乡居民生活用电数据集，刻画了广东省居民生活用电的城乡不平等性及其时空特征。研究表明： ① 2000—2020年广东省城乡居民生活用电不平等的相关指数大幅下降，不平等性指数和总体泰尔系数降至0.83和0.013，城乡内部不平等愈发重要。② 珠三角城乡居民生活用电水平最平等，其极低密度乡村地区已经超过城市中心区成为人均居民生活用电量最高的区域。③ “城市中心区集中”和“极低密度乡村地区反超”成为城乡居民生活用电的两个显著空间特征。④ 洛伦兹曲线和基尼系数显示，不同地级市的城市中心区居民生活用电最平等，而半密集城市聚集区和乡村聚集区最不平等。本文突破了统计调查数据成本高、精度低的客观局限，丰富了城乡多元空间视角下的能源研究，为从空间上刻画中国及世界其他区域城乡能源电力消费特征提供了普适性框架。研究结果可为进一步认识广东省城乡能源不平等性、推动区域能源协调发展提供科学参考和决策支撑。

关键词： 城乡居民生活用电不平等性; 泰尔系数; 基尼系数; 洛伦兹曲线; 广东省

本文引用格式

薛嘉顺 , 杨宇 , 方创琳 , 张璐 , 张海平 , 张新 . 广东省城乡居民用电不平等性的时空特征[J]. 地理学报, 2025 , 80(4) : 1052 -1067 . DOI: 10.11821/dlxb202504012

Abstract

Addressing inequality in residential electricity consumption is crucial for achieving the UN Sustainable Development Goal 7 (SDG 7). Guangdong province, one of the most developed areas in China, is a representative case for examining inequality and its changes between urban and rural areas. However, there is currently a lack of high-resolution energy consumption data to conduct urban and rural comparison analysis. To address this gap, this study combined nighttime light remote sensing data and European Union's Global Human Settlement Layer dataset to develop a novel residential electricity consumption dataset (500 meter grid) from 2000 to 2020. The results are as follows: (1) Inequality index indicates a sharp downward trend from 7.57 to 0.83, with the overall Theil index declining to 0.83 and 0.013. (2) Inequality index is the lowest in the Pearl River Delta among all sub-regions, while per capita residential electricity consumption is the highest in urban center and very low density rural clusters among different settlement types. (3) Lorenz curve and Gini coefficient indicate that urban centers show the greatest equality in terms of per capita residential electricity consumption across prefectures, while semi-dense urban clusters and rural clusters show the lowest. This study enriches research on urban and rural energy consumption analysis from a multi-spatial perspective,and overcomes the limitations of traditional statistical survey data featured by high cost and low accuracy. It provides a framework for energy and electricity consumption analysis in urban and rural areas in China and beyond. The findings are useful for a better understanding of urban-rural energy inequality in Guangdong.

Key words： urban-rural residential electricity consumption inequality; Theil index; Gini coefficient; Lorenz Curve; Guangdong province

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