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中国产业能源消费碳排放变化的因素分解——基于广义GFI的指数分解

ISSN号：1001-4098
期刊名称：系统工程
时间：2012
页码：48-54
分类：F223[经济管理—国民经济]
作者机构：[1]东北财经大学数学与数量经济学院、经济计量分析与与预测研究中心,辽宁大连116025
相关基金：国家自然科学基金资助项目（71171035）;国家社会科学基金青年项目（11CJY008）
相关项目：基于结构突变和截面相关的省际碳排放面板协整检验方法

作者：范丹|王维国|

关键词：能源消费, 碳排放, 因素分解, GFI, Energy Consumption, Carbon Emissions, Factor Decomposition, Fisher Index Decomposition （GFI）

中文摘要：

基于扩展的Johan恒等式及广义费雪指数分解（GFI）方法，建立了1995～2010年中国能源消费人均碳排放因素分解模型，定量分析了产业能源结构、产业能源强度、产业结构、经济产出四个因素对我国能源消费的人均碳排放的影响。对比拉氏指数和D氏指数分解法，姑模型具有更好的因素分解特性，能够消除分解的残差项，使得分解结果更加准确。实证结果显示：经济产出的持续增长是我国人均碳排放增长的主导因素，该阶段总贡献比例为42．84％；产业能源结构与产业结构对我国人均碳排放的增长起到了微弱的拉动效应，贡献比例分别为21．99％和21．24％；而产业能源强度对我国的人均碳排放的增长呈现显著的抑制效应，贡献比例为13．94％，并且产业能源强度的抑制作用表现出逐年增强的趋势。

英文摘要：

This paper establishes a decomposition model of energy consumption per capita carbon emission from 1995 to 2010 in China based on the extended Johan identity and the generalized Fisher Index Decomposition （GFI）, and quantatively analyzes the intpacts of industrial energy mix, industrial energy intensity, industrial structure and economic sclale on per capita carbon emissions with the GFI method. Compared with the index of the Laspeyres and Divisia decomposition method, the GFI method demonstrates good factor decomposition characteristics, and can eliminate the decomposition residual and obtain more accurate results. The empirical results show that economic growth is exponential growth in the contribution rate of per capita carbon emissions in China from 1995 to 2010. Factor of economic growth is the dominant factor in the stage of growth of per capita carbon emissions. At this stage, the proportion of the total contribution is 42.84%. The empirical results also show that：（1） the sustainable growth of economic output is the dominant factor of growth of per capita carbon emissions in China, at that stage the proportion of the total contribution of 42. 84%; （2） industrial energy mix and the growth of the industrial structure of per capita carbon emissions in China have a weak stimulating effect and contribution ratios were 21.99% and 21.24% respectively% （3） industrial energy intensity of per capita carbon emissions growth in China has a significant inhibitory effect, with the contribution ratio of 13.94%, and the inhibition of the industrial energy intensity is gradually increased.

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