人均
能源消耗
基尼系数
能源匮乏
消费(社会学)
经济
生活水平
不平等
农业经济学
中国
地理
经济增长
社会经济学
作者
Shaoyue Ma,Xiangbo Xu,Chang Li,Linxiu Zhang,Mingxing Sun
出处
期刊:Energy Policy
[Elsevier]
日期:2021-12-01
卷期号:159: 112638-112638
标识
DOI:10.1016/j.enpol.2021.112638
摘要
How to achieve no poverty and reduce inequalities are among the core mission of the United Nations sustainable development goals. These goals also play an important role in China's poverty alleviation. In this paper, energy consumption is used as a proxy to measure living standards. Based on the data of 1010 Chinese households in 100 villages, energy consumption status and corresponding inequality at the village level were analyzed. The results showed that the per capita energy consumption of rural areas in China in 2018 was 862.94 kg coal equivalent, among which the main types were biomass and electricity. The regression analysis shows that the latitude and altitude, the distance to county center of the villages, average age, education level, and financial assets of the villagers are the main factors affecting the energy consumption of the villages. With the increase of per capita energy consumption, the Gini coefficient and Theil index both showed a downward trend, meaning energy poverty alleviation and inequality reduction are simultaneously achieved in rural development. The results of this study identify the key factors needed to increase energy consumption and energy efficiency at the village level and provide valuable reference for China's rural energy transformation. • The per capita energy consumption of rural China in 2018 was 862.94 kg ce. • The dominant energy sources are biomass and electricity. • The geographical locations, age, education level etc. are the main influence factors. • With increase of energy consumption in rural China, inequality decreases.
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