基于Kaya恒等式的东盟二氧化碳排放分解

Vivid Amalia Khusna, Deni Kusumawardani
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引用次数: 3

摘要

东盟是一个二氧化碳排放量高的地区,伴随着人口、国内生产总值(GDP)和能源消耗的增加。人口、GDP和能源消耗可以通过一个被称为富恒等式的恒等式与二氧化碳排放联系起来。本研究基于Kaya恒等式描述CO2排放,计算1990 - 2017年东盟及东盟8国(印度尼西亚、马来西亚、新加坡、泰国、菲律宾、越南、缅甸和文莱达鲁萨兰国)人口、经济活动、能源强度和碳强度对CO2排放的影响。使用的方法是对数平均分割指数(LMDI)。所使用的数据来自国际能源署(IEA)和世界银行。人口、经济活动和碳强度因子分别增加了29302 MtCO2、790.0 MtCO2和195.51 MtCO2。同时,能源强度效应使东盟的CO2排放量减少了283.13 MtCO2。对于所有东盟国家二氧化碳排放量增加的贡献,人口效应增加了东盟所有国家的二氧化碳排放量,经济活动效应也相同,除了文莱达鲁萨兰国使该国的二氧化碳排放量减少了107 MtCO2。同时,能源强度和碳强度的影响是不同的。能源强度效应导致中低收入国家的二氧化碳排放量减少,而中高收入和高收入国家的碳排放量增加。与碳强度的影响相反,这实际上使中低收入国家的二氧化碳排放量增加,并减少中高收入和高收入国家的碳排放量。
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Decomposition of Carbon Dioxide (CO2) Emissions in ASEAN Based on Kaya Identity
ASEAN is a region with high carbon dioxide (CO2) emissions, accompanied by an increase in population, gross domestic product (GDP) and energy consumption. Population, GDP, and energy consumption can be linked to CO2 emissions through an identity equation called the Rich Identity. This research is based on Kaya identity to describe CO2 emissions to calculate the impact of population, economic activity, energy intensity and carbon intensity on CO2 emissions in ASEAN and 8 ASEAN countries (i.e., Indonesia, Malaysia, Singapore, Thailand, Philippines, Vietnam, Myanmar and Brunei Darussalam) from 1990 to 2017. The method used is the Logarithmic Mean Division Index (LMDI). The data used are from the International Energy Agency (IEA) and the World Bank. Four effects measured and main findings showed that population, economic activity and carbon intensity factor increased by 293.02 MtCO2, 790.0 MtCO2, and 195.51 MtCO2, respectively. Meanwhile, energy intensity effect made ASEAN's CO2 emissions decrease by 283.13 MtCO2. Regarding contributions to the increase in CO2 emissions in all ASEAN countries, the population effect increases CO2 emissions in all countries in ASEAN and the economic activity effect is also the same, except in Brunei Darussalam which makes CO2 emissions in this country decreased by 1.07 MtCO2. Meanwhile, the effects of energy and carbon intensity are different. The effect of energy intensity causes CO2 emissions in lower-middle income countries to decrease, while in upper-middle and high-income countries, it increases carbon emissions. In contrast to the effect of carbon intensity, that actually makes CO2 emissions increase in lower-middle income countries and reduces carbon emissions in upper-middle and high-income countries.
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