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Decomposition of Net CO 2 Emission in the Wuhan Metropolitan Area of Central China

机译：中部武汉都市圈CO 2净排放量的分解

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Policy-makers have been sharing growing concerns that climate change has significant impacts on human society and economic activates. Knowledge of the influencing factors of CO 2 emission is the crucial step to reduce it. In this paper, both CO 2 emission and CO 2 sink on a city-level of the nine cities in Wuhan Metropolitan Area are calculated using the Intergovernmental Panel on Climate Change approach. Moreover, the logarithmic mean Divisia index (LMDI) model was employed to decompose the net CO 2 emission from 2001 to 2009. Results showed that (1) the largest amount of CO 2 emission comes from energy while the largest amount CO 2 sink comes from cropland; (2) economic level (S) was the largest positive driving factor for net CO 2 emission growth in the Wuhan Metropolitan Area, population (P) also played a positive driving role, but with very weak contribution; and as negative inhibiting factors, energy structure (E) and energy efficiency (C) significantly reduced the net CO 2 emission.
机译：政策制定者一直对气候变化对人类社会和经济活动产生重大影响感到越来越担忧。了解影响CO 2排放的因素是减少CO 2排放的关键步骤。本文采用政府间气候变化专门委员会方法计算了武汉大都市区九个城市的城市水平上的CO 2排放量和CO 2吸收量。此外，采用对数平均Divisia指数（LMDI）模型对2001年至2009年的CO 2净排放量进行分解。结果表明：（1）CO 2排放量最大的是能源，而CO 2吸收量最大的是能源。农田（2）经济水平（S）是武汉都市圈CO 2净排放增长的最大正驱动因素，人口（P）也起着积极的驱动作用，但贡献很小。作为负抑制因子，能量结构（E）和能量效率（C）显着降低了净CO 2排放量。

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