中国居民生活碳排放的区域差异及影响因素分析
Analyze on the Spatial-temporal Pattern and Influence Factors of China's per Capita Household Carbon Emissions
查看参考文献45篇
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文摘
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论文在总结划分居民生活碳排放(HCEs)类别的基础上,以中国HCEs量为测度指标,从时间和空间两个角度对1997—2012年人均HCEs进行分析,同时对2012年人均HCEs的空间格局分布及影响因素进行分析。基本结论如下:根据划分方法,HCEs按照碳排放源可分为直接和间接碳排放;按照基本生活需求可分为基本和发展碳排放;按照人类消费行为可分为交通、居住、食品、商品及服务碳排放五大类。从时间尺度来看,中国各类别人均HCEs均呈现逐年上升趋势。从空间差异来看,1997—2012年,我国各省人均HCEs表现出共同的空间分布特征。从空间格局分布来看,2012年中国人均居民生活碳排放呈现从东到西递减的趋势。从空间计量模型角度看,2012年,人均居民生活基本碳排放比重是影响人均HCEs空间差异的主要驱动因子。此外,各地区人均收入和人均GDP的差异也对人均HCEs的空间差异起到正相关作用。基于对中国人均HCEs的时空格局及影响因素分析,为我国制定碳减排举措提供科学依据并提出有效建议。 |
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其他语种文摘
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This paper calculates per capita household carbon emissions (HCEs) based on IPCC's reference approach and Input-output analysis (IOA) of different categories of carbon emissions in China from 1997 to 2012. Its driving factors are also analyzed with the Spatial Error Model(SEM) and the Spatial Lag Model (SLM). The main purpose of this work is to emphasize the characteristics of household carbon emissions based on temporal scale and spatial scale. The results show that:1) Based on different carbon sources, HCEs can be divided into direct and indirect emissions; based on different human needs, HCEs can be classified as basic and development emissions; based on different consumers ' behaviors, HCEs can be divided into transportation, housing, food, goods and service emissions. 2) At the time scale, both direct and indirect per capita HCEs, basic and development per capita HCEs, and each item of per capita HCEs based on behaviors exhibit the increasing tendency. 3) From the spatial perspective, there is a common pattern in spatial distributions of per capita HCEs. The cluster effect of per capita HCEs is stable. 4) From the space point of view, the per capita HCEs in China shows a decreasing tendency from east to west in 2012.5) Based on the spatial analysis model, the proportion of basic HCEs per capita in the whole is the main driving factor. Meanwhile, per capita income and per capita GDP are also affecting per capita HCEs. On the basis of analyzing the spatial-temporal patterns and driving factors of per capita household carbon emissions, we provide scientific evidences and put forward effective suggestions for carbon emissions reduction measures and policies. |
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来源
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自然资源学报
,2016,31(8):1364-1377 【核心库】
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DOI
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10.11849/zrzyxb.20150905
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关键词
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中国
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居民生活碳排放
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Moran's I
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空间分析模型
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地址
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兰州大学资源环境学院, 西部环境教育部重点实验室, 兰州, 730000
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语种
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中文 |
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文献类型
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研究性论文 |
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ISSN
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1000-3037 |
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学科
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社会科学总论;社会与环境 |
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基金
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国家973计划
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国家自然科学基金
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文献收藏号
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CSCD:5778571
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参考文献 共
45
共3页
|
|
1.
张征华. 中国二氧化碳排放影响因素实证研究综述.
生态经济,2013(6):50-54
|
CSCD被引
7
次
|
|
|
|
|
2.
IPCC.
Technical Summary of Climate Change 2014: Mitigation of Climate Change. Working Group III Contribution to the IPCC Fifth Assessment Report (AR5),2014
|
CSCD被引
1
次
|
|
|
|
|
3.
刘莉娜. 灰色关联分析在中国农村家庭碳排放影响因素分析中的应用.
生态环境学报,2013,22(3):498-505
|
CSCD被引
9
次
|
|
|
|
|
4.
王少剑. 能源消费CO_2排放研究综述.
地理科学进展,2015,34(2):151-164
|
CSCD被引
34
次
|
|
|
|
|
5.
曲建升. 西北地区居民生活碳排放结构及其影响因素.
科学通报,2013,58(3):260-266
|
CSCD被引
17
次
|
|
|
|
|
6.
Wei Y M. The impact of lifestyle on energy use and CO_2 emission: An empirical analysis of China's residents.
Energy Policy,2007,35:247-257
|
CSCD被引
61
次
|
|
|
|
|
7.
张馨. 中国城市化进程中的居民家庭能源消费及碳排放研究.
中国软科学,2011(9):65-75
|
CSCD被引
30
次
|
|
|
|
|
8.
Feng Z H. The impact of household consumption on energy use and CO_2 emissions in China.
Energy,2011,36(1):656-670
|
CSCD被引
24
次
|
|
|
|
|
9.
Ala-Mantila S. Relationship between urbanization, direct and indirect greenhouse gas emissions, and expenditures: A multivariate analysis.
Ecological Economics,2014,104(3):129-139
|
CSCD被引
6
次
|
|
|
|
|
10.
Jones C M. Quantifying carbon footprint reduction opportunities for U.S. households and communities.
Environmental Science & Technology,2011,45(9):4088-4095
|
CSCD被引
9
次
|
|
|
|
|
11.
Jones C M. Spatial distribution of U.S. household carbon footprints reveals suburbanization undermines greenhouse gas benefits of urban population density.
Environmental Science & Technology,2014,48(2):895-902
|
CSCD被引
7
次
|
|
|
|
|
12.
曾静静. 家庭碳排放计算方法分析评价.
地理科学进展,2012,31(10):1340-1351
|
CSCD被引
4
次
|
|
|
|
|
13.
Torvanger A. Manufacturing sector carbon dioxide emissions in nine OECD countries, 1973-1987: A divisia index decomposition to changes in fuel mix, emission coefficients, industry structure, energy intensities and international structure.
Energy Economics,1991,13(3):168-186
|
CSCD被引
9
次
|
|
|
|
|
14.
Shrestha R M. Factors affecting CO_2 intensities of power sector in Asia: A divisia decomposition analysis.
Energy Economics,1996,18(4):283-293
|
CSCD被引
14
次
|
|
|
|
|
15.
Ang B W. Factorizing changes in energy and environmental indicators through decomposition.
Energy,1998,23(6):489-495
|
CSCD被引
136
次
|
|
|
|
|
16.
Wu L B. Driving forces behind the stagnancy of China's energy-related CO_2 emissions from 1996 to 1999: The relative importance of structural change, intensity change and scale change.
Energy Policy,2005,33(3):319-335
|
CSCD被引
39
次
|
|
|
|
|
17.
Liu L C. Using LMDI method to analyze the change of China's industrial CO_2 emissions from final fuel use: An empirical analysis.
Energy Policy,2007,35(11):5892-5900
|
CSCD被引
41
次
|
|
|
|
|
18.
Ehrlich P R. Impact of population growth.
Science,1971,171(11):1212-1217
|
CSCD被引
220
次
|
|
|
|
|
19.
York R. STIRPAT, IPAT and IMPACT: Analytic tools for unpacking the driving forces of environmental impacts.
Ecological Economics,2003,46(3):351-365
|
CSCD被引
268
次
|
|
|
|
|
20.
York R. Footprints on the earth: The environmental consequences of modernity.
American Sociological Review,2003,68(2):279-300
|
CSCD被引
31
次
|
|
|
|
|
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