能源消耗
高效能源利用
人均
数据包络分析
托比模型
经济
可持续发展
能量强度
消费(社会学)
农业经济学
计量经济学
统计
工程类
数学
人口学
电气工程
人口
社会科学
社会学
政治学
法学
作者
Xuan Wang,Yonglong Lü,Chunci Chen,Xiaojie Yi,Haotian Cui
标识
DOI:10.1016/j.jes.2023.02.031
摘要
Improving energy efficiency is regarded as a key path to tackling global warming and achieving the Sustainable Development Goals (SDGs). In 2020, the energy consumption of the world's ten major energy-consuming countries accounted for 66.8% of the global total. This paper applied data envelopment analysis (DEA) to calculate these ten major energy-consuming countries' total-factor energy efficiency (TFEE) at national and sectoral levels from 2001-2020, and explored the influencing factors of total-factor energy efficiency with the Tobit regression model. The results showed significant difference in the ten countries' energy efficiency. The United States and Germany topped the list for total-factor energy efficiency, while China and India were at the bottom. Meanwhile, the energy efficiency of the industrial subsector has increased significantly over the past two decades, while that of the other subsectors has been relatively flat. The industrial structure upgrading, per capita GDP, energy consumption structure, and foreign direct investment had significant impacts on energy efficiency with national heterogeneity. Energy consumption structure and GDP per capita were determinative factors of energy efficiency.
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