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文章基于Kaya恒等式,运用LMDI方法将2006-2015年全国30个省市、自治区的SO2排放量分解为规模效应、能源强度效用、能源结构效应、产污系数效应四个因素,在此基础上,将SO2去除量变化分解为投资效率效应、经济结构效应和经济规模效应,分析投资等因素对SO2减排的贡献。研究结果表明:经济规模是导致SO2排放量增加最主要的因素,而产污系数则对SO2排放量的变化呈现最大的负向作用。针对SO2去除量的分解结果显示经济效应始终呈现正向效应,投资力度和效率则有所波动。
Abstract：Using the LMDI method based on Kaya identities, the data of the country's sulfur dioxide emissions in 30 provinces from 2006 to 2015, is decomposed into scale effect, energy intensity, energy utility structure effect, production factor effect. On this basis, the change of sulfur dioxide removal is decomposed into investment efficiency effect, economic structure effect and economic scale effect, revealing their contribution to reduce the emissions. The results show that the economic scale is the most important factor for the increase of SO2 emissions, while the pollution coefficient has the greatest negative effect on the change of SO2 emission. The decomposition results of SO2 removal show that the economic effects are always positive, and the investment intensity and efficiency fluctuate.
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基本信息:
DOI：10.14096/j.cnki.cn34-1069/n/1004-4329(2018)04-095-06
中图分类号:X701
引用信息:
[1]黄钢.基于LMDI的中国SO_2排放驱动因素分解[J].阜阳师范学院学报(自然科学版),2018,35(04):95-100.DOI:10.14096/j.cnki.cn34-1069/n/1004-4329(2018)04-095-06.
基金信息:
国家科学基金规划项目(14BJY165);; 西南财经大学重大基础理论研究项目(JBK151122)资助
2018-12-15
2018-12-15