期刊
ENERGY ECONOMICS
卷 97, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.eneco.2020.105021
关键词
Natural disaster; Energy consumption; System-GMM method; Quantile regression
类别
资金
- National Science Foundation of Jiangxi Province of China [20202BAB201006]
- 2020 Jiangxi Humanities and Social Sciences Project of University
The research shows that natural disasters have a negative impact on energy consumption, especially for low-income countries or those in the Africa region. Quantile regression results indicate that natural disasters significantly affect oil, renewable, and nuclear energy consumption.
This research shows that natural disasters may hurt energy consumption by using data on 123 countries over the period 1990-2015 and classifying them according to their economic development level and region based on World Development Indicators. We employ a two-step system-GMM method to examine the effect of natural di-sasters on energy consumption, presenting findings that support our hypotheses in the models and show a strong negative effect for low-income countries or those in the Africa region. After considering an alternative proxy for natural disaster, we implement quantile regression methods. Their results find that natural disasters exhibit a negative and significant impact on oil, renewable, and nuclear energy consumptions. The quantile regression models used in the robustness check present that the effects are stronger for low-level energy consumption economies. (c) 2020 Published by Elsevier B.V.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据