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Identification and analysis of driving factors of CO_2 emissions from economic growth in Pakistan

机译:巴基斯坦经济增长的CO_2排放驾驶因素识别与分析

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This study applied the logarithmic mean Divisia index (LMDI) model to identify and discuss the main drivers of Pakistan's CO_2 emissions over the period 1990-2016. The study examined the effects of five factors based on Pakistan's three main economic sectors while considering the 11 types of fuels consumed in that country. The results showed that the energy structure effect is the greatest driving force of CO_2 emissions in this country, followed by scale effect and economic structure effect. Energy intensity is the main contributor to reducing Pakistan's carbon emissions throughout the study period. A comparative review at the sectoral level shows that the industrial sector for which coal is the main source of energy supply is the one that contributes the most to CO_2 emissions in Pakistan. Alongside this sector is the tertiary sector, where the transport sub-sector imposes rules of conduct based on a growing Pakistani population. Meanwhile, deforestation would be the main cause of CO_2 emissions from the agricultural sector in Pakistan, as energy consumption in this sector remains very low. Improving energy efficiency through the intensification of clean energy is urgently needed if Pakistan's environmental goals are to be achieved.
机译:本研究应用了对数平均Divisia指数(LMDI)模型来识别并讨论1990 - 2016年期间巴基斯坦CO_2排放的主要驱动因素。该研究检测了基于巴基斯坦三个主要经济部门的五个因素的影响,同时考虑到该国消耗的11种燃料。结果表明,能源结构效应是该国CO_2排放的最大动力,其次是规模效应和经济结构效应。能源强度是在整个研究期间降低巴基斯坦碳排放的主要贡献者。部门级别的比较审查表明,煤炭是能源供应主要来源的工业部门是贡献巴基斯坦的CO_2排放量。除此之外,该部门是第三部门,运输子部门根据不断增长的巴基斯坦人口施加行为规则。与此同时,森林砍伐将是巴基斯坦农业部门的CO_2排放的主要原因,因为该行业的能源消耗仍然很低。如果要实现巴基斯坦的环保目标,迫切需要通过加强清洁能源的能效。

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