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DOI | 10.1016/j.energy.2021.121934 |
China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model | |
Zhao, Pengjun; Zeng, Liangen; Li, Peilin; Lu, Haiyan; Hu, Haoyu; Li, Chengming; Zheng, Mengyuan; Li, Haitao; Yu, Zhao; Yuan, Dandan; Xie, Jinxin; Huang, Qi; Qi, Yuting | |
发表日期 | 2022 |
ISSN | 0360-5442 |
EISSN | 1873-6785 |
卷号 | 238 |
英文摘要 | The threat of global climate change has caused the international community to pay close attention to atmospheric levels of greenhouse gases such as carbon dioxide. Transportation sector carbon dioxide emissions efficiency (TSCDEE) is a key indicator used to prioritize sustainable development in the transportation sector. In this paper, the epsilon-based measure data envelopment analysis model with undesirable outputs is applied to estimate TSCDEE for 30 provinces in China from 2010 to 2016. We also analyze influencing factors using the spatial Durbin model. Research shows that the overall TSCDEE of the Chinese provinces studied was 0.618, indicating that most regions are still in need of improvements. The provinces with the highest TSCDEE are located in developed coastal regions of China. This study shows that factors such as transportation structure, traffic infrastructure level, and technological progress have prominent positive effects on TSCDEE, while both urbanization level and urban population density exert significantly negative effects on TSCDEE. The findings should have a far-reaching impact on the sustainable development of global transportation. (c) 2021 Elsevier Ltd. All rights reserved. |
英文关键词 | Transportation sector carbon dioxide emissions efficiency; Influencing factors; The EBM DEA model With undesirable outputs; Spatial Durbin model |
语种 | 英语 |
WOS研究方向 | Thermodynamics ; Energy & Fuels |
WOS类目 | Science Citation Index Expanded (SCI-EXPANDED) ; Social Science Citation Index (SSCI) |
WOS记录号 | WOS:000702880100006 |
来源期刊 | ENERGY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/281461 |
作者单位 | Peking University; Peking University; Peking University; Harbin Institute of Technology; Peking University; Tsinghua University; Beijing University of Technology; Peking University; Delft University of Technology |
推荐引用方式 GB/T 7714 | Zhao, Pengjun,Zeng, Liangen,Li, Peilin,et al. China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model[J],2022,238. |
APA | Zhao, Pengjun.,Zeng, Liangen.,Li, Peilin.,Lu, Haiyan.,Hu, Haoyu.,...&Qi, Yuting.(2022).China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model.ENERGY,238. |
MLA | Zhao, Pengjun,et al."China's transportation sector carbon dioxide emissions efficiency and its influencing factors based on the EBM DEA model with undesirable outputs and spatial Durbin model".ENERGY 238(2022). |
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