Decoupling analysis of CO2 emissions from transport sector in Cameroon
Decoupling analysis of CO2 emissions from transport sector in Cameroon
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DOI：
10.1016/j.scs.2019.101732
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发表时间：
2019-11-01
影响因子：
11.7
通讯作者：
Engo, Jean
中科院分区：
文献类型：
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作者：
Engo, Jean
交通运输业是喀麦隆能源消耗和二氧化碳排放量较高的经济部门之一。为此，显然需要采取切实可行的方法来节省能源并减少该部门的二氧化碳排放，以使喀麦隆能够实现其温室气体减排目标。本文基于扩展的卡亚恒等式应用 Tapio 和 LMDI 方法，探讨 1990 年至 2016 年期间与能源相关的二氧化碳排放与喀麦隆交通部门增长之间的脱钩关系。考虑到喀麦隆运输部门消耗的四种燃料，脱钩指标分为五个因素。实证结果表明，研究期间只出现了弱脱钩、强脱钩、弱负脱钩和强负脱钩四种脱钩状态。同时，规模效应、能源结构效应、能源强度效应阻碍脱钩，而经济结构效应则对脱钩发挥了重要的促进作用。根据这项研究的结果，本文提出了一些旨在减少喀麦隆交通部门碳排放的政策。
The transport sector represents one of Cameroon's economic sectors with high energy consumption and CO2 emissions. To this end, it is clear that practical ways to save energy and reduce CO2 emissions from this sector are needed to enable Cameroon to achieve its greenhouse gas mitigation targets. The Tapio and LMDI methods were applied in this paper, based on an extended Kaya identity, to explore the decoupling relationship among energy-related CO2 emissions and growth from Cameroon's transport sector, over the period 1990-2016. The decoupling indicators were broken down into five factors while considering the four fuels consumed in Cameroon's transport sector. Empirical results showed that only four states of decoupling appeared during the study's period including weak decoupling, strong decoupling, weak negative decoupling, and strong negative decoupling. Meanwhile, scale effects, energy structure effect, and energy intensity effect prevented decoupling, whereas the economic structure effect played an important role in promoting decoupling. Based on the findings of this study, some policies aimed at reducing carbon emissions from Cameroon's transport sector were proposed in this paper.