节点文献
基于LMDI的甘肃省碳排放影响因素分解研究
Factor decomposition of carbon emission in Gansu Province based on LMDI
【摘要】 依据中国碳排放数据库,运用LMDI模型对甘肃省碳排放影响因素进行了量化分析,识别出相关因素的贡献率.结果表明,各因素对甘肃省CO2排放变化的影响作用差异明显;经济规模的扩张对CO2排放增长起决定作用,对甘肃省CO2排放增长的贡献率为70.9%,能源强度下降是抑制甘肃省CO2排放增长的关键因素,对减少碳排放的贡献率为40.8%,森林碳汇通过吸收CO2对减少碳排放的贡献率达49.8%;在各产业中,以工业为主的第二产业是碳排放量最大的产业,年均占比80%以上.
【Abstract】 Based on the CEADs database, the LMDI model was used to analyze the factors affecting carbon emissions in Gansu Province. The contribution rate of relevant factors was identified via a decomposition analysis and the corresponding contribution of economic scale expansion and forestry carbon sinks was clarified. The results showed that the effects of various factors on the changes in CO2 emission in Gansu were obvious and the cumulative contribution to CO2 emissions changed from economic factors to forest cover, energy intensity, urbanization level, industrial structure, population and energy structure;the expansion of the economic scale had a decisive effect on the growth of CO2 emissions, and the contribution rate to carbon emission growth was 70.9%. The decline in energy intensity was a key factor in curbing CO2 emissions growth in Gansu, contributing 40.8% in reducing carbon emissions and forest carbon sinks contributed 49.8% to carbon emissions by absorbing CO2. Of the industrial sectors, the second industry, which was dominated by industry, incurred the largest CO2 emissions, accounting for more than 80%.
【Key words】 carbon emission; logarithmic mean divisia index method,LMDI; Gansu Province;
- 【文献出处】 兰州大学学报(自然科学版) ,Journal of Lanzhou University(Natural Sciences) , 编辑部邮箱 ,2020年05期
- 【分类号】X24
- 【被引频次】13
- 【下载频次】1172