作者: Qiang Wang , Shasha Wang
DOI: 10.1016/J.JCLEPRO.2019.04.375
关键词: China 、 Energy intensity 、 Carbon 、 Greenhouse gas 、 Divisia index 、 Population effect 、 Decoupling (electronics) 、 Environmental science 、 Natural resource economics 、 Scale effect
摘要: Abstract The transport sector is steadily becoming a new major source of carbon emissions in China. A better understanding decoupling economic outputs from the Chinese could facilitate country's move to low-carbon transport. This study combines Tapio model and Log Mean Divisia Index method develop effort model, order quantify state between emissions, investigate effects evaluate these efforts six provinces eastern, central western results show that: (i) eastern region had achieved stable decoupling; development regions was imbalanced, with frequent flux their states (ii) pattern driving factor three similar. scale effect primary contributor while energy intensity main inhibitor. influence population found be quite weak; (iii) all undertaken achieve decoupling, ranking first extent efforts, last; (iv) weak effort, indicating that utilization efficiency not optimal, there still exists considerable room for improvement. Finally, some policy recommendations are proposed.