电
面板数据
空气污染
中国
污染
索引(排版)
消费(社会学)
环境科学
空气污染指数
能源消耗
农业经济学
自然资源经济学
空气质量指数
环境保护
经济
地理
计量经济学
气象学
工程类
有机化学
考古
化学
生物
万维网
计算机科学
生态学
电气工程
社会科学
社会学
作者
Shen Zhong,Yuan Fang,Hongjun Jing
出处
期刊:PLOS ONE
[Public Library of Science]
日期:2024-04-16
卷期号:19 (4): e0301537-e0301537
被引量:7
标识
DOI:10.1371/journal.pone.0301537
摘要
As the world’s largest electricity-consuming country, China faces the challenge of energy conservation and environmental pollution. Therefore, it is imperative that China takes decisive action to address these issues. Based on the panel data of 30 provinces (cities, districts) in China from 2011 to 2020, we use the entropy method to measure the air pollution index in different provinces, construct two fixed effects models, panel quantile model, and spatial Durbin model to empirically analyze the impact of electricity consumption on air pollution in China’s provincial regions. The experimental results show that: (1) Electricity consumption has a significant positive impact on the provincial air pollution index in China and the higher the index is, the more serious the air pollution is. When the electricity consumption increases 1%, the air pollution index will increase of by 0.0649% as accompanied. (2) Through comparison of different times, we found that the degree of increase in air pollution index caused by electricity consumption would be reduced due to the improvement of environmental protection efforts. From the perspective of different geographical locations, the electricity consumption in the southeast side of the "Hu Line" has exacerbated the impact on air pollution index. (3) According to the panel quantile regression results, the marginal effect of electricity consumption on air pollution is positive. With the increase of quantiles, the impact of electricity consumption on air pollution is increasing. (4) Spatial effect analysis shows that electricity consumption has a significant positive spatial spillover effect on air pollution index. The increase in electricity consumption not only increases the air pollution index in the local region, but also leads to an increase in the air pollution index in surrounding areas. These findings contribute to the governance of air pollution and the promotion of sustainable economic, environmental and energy development.
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