基于时空尺度的中国省级区域能源消费碳排放公平性分析
收稿日期: 2010-06-18
修回日期: 2012-01-06
网络出版日期: 2012-12-20
基金资助
国土资源部公益性行业科研专项经费项目(200811033);国家社科基金重大项目(10ZD&030);江苏省高校人文社会科学基金重大项目(2010ZDAM008);江苏省高校优势学科联合资助。
Spatio-temporal Scale Analysis on the Equality of Energy Consumption Carbon Emission Distribution in China
Received date: 2010-06-18
Revised date: 2012-01-06
Online published: 2012-12-20
为深入了解各省级区域能源消费碳排放的差异性和公平性,论文通过对基尼系数内涵的扩展,构建碳排放公平性评价模型,计算1996-2008年能源消费碳排放的生态基尼系数和经济基尼系数,结果表明:从生态角度,能源消费碳排放的不公平程度逐渐减小,但仍然处于"高度不平均"状态;从经济角度,能源消费碳排放的不公平程度先上升后下降,位于"相对平均"区间。同时,提出经济贡献系数和生态承载系数以评价2008年各个省级区域能源消费碳排放的公平性和差异性,利用贡献系数矩阵对各个区域进行类型划分,阐述各个类别的特点,以期为国家制定区域差别化的节能减排政策提供依据,提升应对气候变化的整体能力。
卢俊宇, 黄贤金, 戴靓, 陈志刚, 李月 . 基于时空尺度的中国省级区域能源消费碳排放公平性分析[J]. 自然资源学报, 2012 , 27(12) : 2006 -2017 . DOI: 10.11849/zrzyxb.2012.12.002
In order to make a profound acquaintance of the regional differences and equality of carbon emissions, this article attempted to create Carbon Emission Ecological Pressure Model and Carbon Emission Economic Efficiency Model to calculate the economic and ecological Gini Coefficient of energy consumption carbon emissions from 1996 to 2008 based on the extension of Gini Coefficient original connotation. The results indicated that, from the ecological point of view, the level of inequality decreased gradually which remained at an extremely unequal state. However, from the economic point of view the degree of inequality increased in the earlier period and then declined and the degree remained at a relatively coordinate state. In addition, this article put forward Economy Contributive Coefficient and Ecological Support Coefficient to evaluate equality and reasonability of the carbon emissions in different provinces. Then this paper, through classifying the 30 different provincial regions (not including Tibet, Hong Kong, Macao and Taiwan due to no data) into four categories and analyzing the characteristics of different categories, expected to provide evidence to help the country establish the policy of carbon reduction, promote the capacity to confront with the climate change and pave the way to sustainable development. The category table showed that Guangxi and some other areas not only had relatively higher economic efficiency but also higher carbon ecological capacity; Shanghai and some developed areas had relatively higher economic efficiency but lower ecological carbon capacity while Yunnan and some areas were in the opposite side; Shanxi and some areas not only had relatively lower economic efficiency but also lower carbon ecological capacity.
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