基于GWR模型的中国省区碳足迹的空间分异及多机制研究(英文)

被引:44
作者
王少剑 [1 ,2 ]
方创琳 [1 ]
马海涛 [1 ]
王洋 [3 ]
秦静 [1 ,2 ]
机构
[1] Institute of Geographic Sciences and Natural Resources Research, CAS
[2] University of Chinese Academy of Sciences
[3] Guangzhou Institute of Geography
关键词
carbon footprint; spatial differences; multi-mechanism; GWR model; China;
D O I
暂无
中图分类号
X22 [环境与发展];
学科分类号
083001 ;
摘要
Global warming has been one of the major concerns behind the world's high-speed economic growth. How to implement the coordinated development of the carbon footprint and the economy will be the core issue of the world's economic and social development, as well as the heated debate of the research at home and abroad in recent years. Based on the energy consumption, integrated with the "Top-Down" life cycle approach and geographically weighted regression(GWR) model, this paper analyzed the spatial differences and multi-mechanism of carbon footprint in provincial China in 2010. Firstly, this study calculated the amount of carbon footprint of each province using "Top-Down" life cycle approach and found that there were significant differences of carbon footprint and per capita carbon footprint in provincial China. The provinces with higher carbon footprint, mainly located in northern China, have large economic scales; the provinces with higher per capita carbon footprint are mainly distributed in central cities such as Beijing, Shanghai and energy-rich regions and heavy chemical bases. Secondly, with the aid of GIS and spatial analysis model(GWR model), this paper had unfolded that the expansion of economic scale is the main driver of the rapid growth of carbon footprint. The growth of population and urbanization also acted as promoting factors for the increase of the carbon footprint. Energy structure had no considerable promoting effect for the increase of the carbon footprint. Improving energy efficiency is the most important factor to inhibit the growing carbon footprint. Thirdly, developing low-carbon economies and low-carbon industries, as well as advocating low-carbon city construction and improving carbon efficiency would be the primary approaches to inhibit the rapid growth of carbon footprint. Moderately controlling the economic scale and population size would also be required to alleviate carbon footprint. Meanwhile, environmental protection and construction of low-carbon cities would evoke extensive attention in the process of urbanization.
引用
收藏
页码:612 / 630
页数:19
相关论文
共 22 条
[1]   中国能源消费碳排放变化的影响因素分析——基于投入产出模型附视频 [J].
陈琳 .
中外能源, 2013, (01) :17-22
[2]   中国碳排放的区域差异及驱动因素分解分析 [J].
邹秀萍 ;
宋敦江 .
生态经济, 2013, (01) :52-55
[3]   中国各省区碳足迹与碳排放空间转移 [J].
石敏俊 ;
王妍 ;
张卓颖 ;
周新 .
地理学报, 2012, 67 (10) :1327-1338
[4]   甘肃省能源消费碳足迹变化及影响因素分析 [J].
焦文献 ;
陈兴鹏 ;
贾卓 .
资源科学, 2012, 34 (03) :559-565
[5]   中国不同区域能源消费碳足迹的时空变化(英文) [J].
揣小伟 ;
赖力 ;
黄贤金 ;
赵荣钦 ;
王婉晶 ;
陈志刚 .
Journal of Geographical Sciences, 2012, 22 (01) :110-124
[6]   基于LMDI的珠三角能源碳足迹因素分解 [J].
彭俊铭 ;
吴仁海 .
中国人口·资源与环境, 2012, 22 (02) :69-74
[7]   中国省区间产业内贸易与产业结构同构分析 [J].
张卓颖 ;
石敏俊 .
地理学报, 2011, 66 (06) :732-740
[8]   基于能源消费的中国不同产业空间的碳足迹分析(英文) [J].
赵荣钦 ;
黄贤金 ;
钟太洋 ;
彭佳雯 .
Journal of Geographical Sciences, 2011, 21 (02) :285-300
[9]   中国不同产业空间的碳排放强度与碳足迹分析 [J].
赵荣钦 ;
黄贤金 ;
钟太洋 .
地理学报, 2010, 65 (09) :1048-1057
[10]   个人终端消费导向的碳足迹研究框架——支撑我国环境外交的碳排放研究新思路 [J].
樊杰 ;
李平星 ;
梁育填 .
地球科学进展, 2010, 25 (01) :61-68