Analysis of regional difference on impact factors of China's energy - Related CO2 emissions
Analysis of regional difference on impact factors of China's energy - Related CO2 emissions
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DOI：
10.1016/j.energy.2012.01.008
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发表时间：
2012-03-01
期刊：
影响因子：
9
通讯作者：
Gui, Shusen
中科院分区：
文献类型：
--
作者：
Li, Huanan;Mu, Hailin;Gui, Shusen
随着全球变暖的加剧，碳排放问题近年来引起了越来越多的关注。在本文中。根据1990年至2010年中国30个省级行政单位的人均二氧化碳年平均值，将其划分为5个排放区。利用STIRPAT（人口、富裕和技术回归的随机影响）模型讨论了影响CO2排放因素的区域差异。结果表明，虽然人均GDP、产业结构、人口、城镇化和技术水平对不同排放区域CO2排放的影响不同，但它们几乎总是所有排放区域的主要影响因素。在大多数排放区，城市化和人均GDP对CO2排放的影响大于其他因素。提高技术水平对大部分排放区域的CO2排放量有较小的减少，但仍是中国CO2减排的主要途径。值得注意的是，在高排放地区，产业结构不是主要影响因素，技术水平的提高增加了二氧化碳排放量。二氧化碳减排应因地制宜，因地制宜。(c) 2012 Elsevier Ltd.版权所有。
With the intensification of global warming, the issue of carbon emissions causes more and more attention in recent years. In this paper. China's 30 provincial-level administrative units are divided into five emission regions according to the annual average value of provincial CO2 emissions per capita during 1990 and 2010. The regional differences in impact factors on CO2 emissions are discussed using STIRPAT (stochastic impacts by regression on population, affluence, and technology) model. The results indicate that although GDP (Gross domestic product) per capita, industrial structure, population, urbanization and technology level have different impacts on CO2 emissions in different emission regions, they are almost always the main factors in all emission regions. In most emission regions, urbanization and GDP per capita has a bigger impact on CO2 emissions than other factors. Improving technology level produces a small reduction in CO2 emissions in most emission regions, but it is still a primary way for CO2 reduction in China. It's noteworthy that industrial structure isn't the main factor and improving technology level increases CO2 emissions in high emission region. Different measures should be adopted for CO2 reductions according to local conditions in different regions. (c) 2012 Elsevier Ltd. All rights reserved.