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首页> 外文期刊>Oxidation Communications >DYNAMIC ANALYSIS FOR REGIONAL CARBON FOOTPRINT COUPLING AND INFLUENCING FACTORS
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DYNAMIC ANALYSIS FOR REGIONAL CARBON FOOTPRINT COUPLING AND INFLUENCING FACTORS

机译:区域碳足迹耦合和影响因素的动态分析

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摘要

Based on current research on carbon footprint, this paper proposes concepts and models pertaining to regional carbon capacity, carbon footprint density, and the carbon footprint coupling degree. Dynamic analysis on the variation of carbon footprint and the degree of coupling of carbon footprint in Liaoning province, from 1996 to 2014, was carried out. The impact of economic development, energy intensity, energy efficiency, population pressure, and the energy structure on the carbon footprint of the Liaoning Province was analysed by logarithmic mean Divisia index (LMDI) method. Results indicated that the carbon footprint emitted in Liaoning increased annually by 8.249% from 52.06065 million t to 1.3494741 billion t. The degree of coupling of carbon footprint changed from 3.4732 in 1996 to 0.2484 in 2014. The coupling coordination process underwent two stages: coupling imbalance and basic coupling. Economic development, population pressure, and energy intensity contribute to the increase in carbon footprint. Economic development is the main contributor. Energy efficiency and energy structure impede the emission of carbon footprint. Carbon footprint in Liaoning can be reduced by optimising industrial structure and distribution, developing new energy resources and improving the coverage of solid carbon vegetation.
机译:基于当前对碳足迹的研究,本文提出了与区域碳容量,碳足迹密度和碳足迹耦合度有关的概念和模型。对1996年至2014年辽宁省碳足迹变化及碳足迹耦合度进行了动态分析。通过对数平均Divisia指数(LMDI)方法分析了经济发展,能源强度,能源效率,人口压力和能源结构对辽宁省碳足迹的影响。结果表明,辽宁省的碳足迹排放量从5200.65万吨增加到134947.41亿吨,年均增长8.249%。碳足迹的耦合度从1996年的3.4732改变为2014年的0.2484。耦合协调过程经历了两个阶段:耦合失衡和基本耦合。经济发展,人口压力和能源强度导致碳足迹的增加。经济发展是主要贡献者。能源效率和能源结构阻碍了碳足迹的排放。可以通过优化产业结构和分布,开发新能源和增加固体碳植被的覆盖面来减少辽宁省的碳足迹。

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