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Decomposition analysis of CO_2 emission intensity between oil-producing and non-oil-producing sub-Saharan African countries

机译:产油和非产油的撒哈拉以南非洲国家之间CO_2排放强度的分解分析

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摘要

The need to decompose CO_2 emission intensity is predicated upon the need for effective climate change mitigation and adaptation policies. Such analysis enables key variables that instigate CO_2 emission intensity to be identified while at the same time providing opportunities to verify the mitigation and adaptation capacities of countries. However, most CO_2 decomposition analysis has been conducted for the developed economies and little attention has been paid to sub-Saharan Africa. The need for such an analysis for SSA is overwhelming for several reasons. Firstly, the region is amongst the most vulnerable to climate change. Secondly, there are disparities in the amount and composition of energy consumption and the levels of economic growth and development in the region. Thus, a decomposition analysis of CO_2 emission intensity for SSA affords the opportunity to identify key influencing variables and to see how they compare among countries in the region. Also, attempts have been made to distinguish between oil and non-oil-producing SSA countries. To this effect a comparative static analysis of CO_2 emission intensity for oil-producing and non oil-producing SSA countries for the periods 1971-1998 has been undertaken, using the refined Laspeyres decomposition model. Our analysis confirms the findings for other regions that CO_2 emission intensity is attributable to energy consumption intensity, CO_2 emission coefficient of energy types and economic structure. Particularly, CO_2 emission coefficient of energy use was found to exercise the most influence on CO_2 emission intensity for both oil and non-oil-producing sub-Saharan African countries in the first sub-interval period of our investigation from 1971-1981. In the second subinterval of 1981-1991, energy intensity and structural effect were the two major influencing factors on emission intensity for the two groups of countries. However, energy intensity effect had the most pronounced impact on CO_2 emission intensity in non-oil-producing sub-Saharan African countries, while the structural effect explained most of the increase in CO_2 emission intensity among the oil-producing countries. Finally, for the period 1991-1998, structural effect accounted for much of the decrease in intensity among non-oil-producers, while CO_2 emission coefficient of energy use was the major force driving the decrease among oil-producing countries. The dynamic changes in the CO_2 emission intensity and energy intensity effects for the two groups of countries suggest that fuel switching had been predominantly towards more carbon-intensive production in oil-producing countries and less carbon-intensive production in non-oil-producing SSA countries. In addition to the decomposition analysis, the article discusses policy implications of the results. We hope that the information and analyses provided here would help inform national energy and climate policy makers in SSA of the relative weaknesses and possible areas of strategic emphasis in their planning processes for mitigating the effects of climate change.
机译:根据有效的缓解和适应气候变化政策的需要,需要分解CO_2的排放强度。这种分析使得能够识别引起CO_2排放强度的关键变量,同时提供验证各国缓解和适应能力的机会。但是,大多数CO_2分解分析都是针对发达经济体进行的,很少关注撒哈拉以南非洲。出于以下几个原因,对SSA进行此类分析的需求非常大。首先,该地区是最容易受到气候变化影响的地区。其次,该地区能源消费的数量和构成以及经济增长和发展水平存在差异。因此,对SSA的CO_2排放强度进行分解分析可提供机会识别关键的影响变量,并查看它们在该地区国家之间的比较。此外,还试图区分石油和非石油SSA国家。为此,已经使用精炼的拉斯佩雷斯分解模型对产油和非产油的撒哈拉以南非洲国家的CO_2排放强度进行了1971-1998年的比较静态分析。我们的分析证实了其他地区的发现,即CO_2排放强度与能源消耗强度,能源类型的CO_2排放系数和经济结构有关。特别是,在我们调查的第一个亚间隔时间段(即1971-1981年),发现石油和非产油撒哈拉以南非洲国家的能源使用CO_2排放系数对CO_2排放强度的影响最大。在1981-1991年的第二个子区间中,能量强度和结构效应是影响这两个国家/地区排放强度的两个主要因素。然而,能源强度效应对非产油的撒哈拉以南非洲国家的CO_2排放强度影响最为明显,而结构效应解释了石油生产国中CO_2排放强度增加的大部分。最后,在1991年至1998年期间,结构效应占非石油生产国强度下降的大部分,而能源使用的CO_2排放系数是促使石油生产国下降的主要力量。两组国家的CO_2排放强度和能量强度影响的动态变化表明,燃料转换主要是朝着产油国提高碳密集度生产而向非产油撒哈拉以南非洲国家减少碳密集度生产的方向转变。 。除了分解分析之外,本文还讨论了结果的政策含义。我们希望这里提供的信息和分析将有助于在SSA的国家能源和气候政策制定者中告知其在缓解气候变化影响的规划过程中的相对弱点和可能的战略重点领域。

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