Spatial Distribution of Provincial Carbon Emissions

Spatial Distribution of Provincial Carbon Emissions
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发表时间:
2013
期刊:
China Population, Resources and Environment
影响因子:
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通讯作者:
Xiping Liu
Xiping Liu
中科院分区:
其他
文献类型:
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作者:
Xiping Liu

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根据1978-2010年中国区域碳排放数据,基于人均累计碳排放量的视角,重新定义了公平碳排放量相关的碳洛伦兹曲线和碳基尼系数,计算出相对公平水平的碳基尼系数为0.24。从区域角度来看,东部地区CO2排放比重大于人口比重,挤压了中西部地区的排放空间,中国CO2排放比重大于人口比重的省份主要有:东部沿海经济发达省份、西部欠发达省份和资源能源丰富省份。最后,基于人均累计碳排放量的视角,对2020年中国区域碳排放进行空间分布分析,并提出建议:针对各地区不同的区域和经济发展状况,实施不同的减排政策,制定碳排放指标,建立区域碳排放权交易市场,制定年度分解碳排放指标,使碳排放量较少的省份在保持自身经济增长速度的前提下,将碳排放权出售给碳排放量较大的省份,实施切实可行的碳税政策,提高区域减排成本,降低碳排放基尼系数。
According to 1978-2010 years of China's regional carbon emissions data,based on the perspective of cumulative carbon emissions percapita,we redefine the fair carbon emissions related to the carbon Lorentz Curve and carbon Gini coefficient and work out the carbon Gini coefficient,which is 0.24,at a relatively fair level.From a regional point of view,the proportion of eastern region CO2 emissions is greater than the proportion of population,which squeezes the midwest emissions space.The Chinese provinces whose proportions of CO2 emissions are larger than proportions of population mainly include: economically developed provinces in the eastern costal region,less developed provinces in western region,and provinces of rich resources and energy.Finally,based on perspective of cumulative carbon emissions per capita,we do spatial distribution analysis on regional carbon emissions in China in 2020.The paper gaves suggestions: in view of the different regional and economic development of each region,we should implement different reduction policies.Make carbon emission index,establish regional carbon emissions trading market and make the annual decomposed carbon index,so that provinces of less carbon emissions can sell carbon emissions rights to bigger carbon emissions provinces under the premise of keeping their own economic growth pace.Implement feasible carbon tax policy,improve the regional reduction cost and reduce carbon emissions Gini coefficient.