Spatial Variations and Determinants of Per Capita Household CO2 Emissions (PHCEs) in China

被引:25
|
作者
Liu, Lina [1 ]
Qu, Jiansheng [1 ,2 ]
Clarke-Sather, Afton [2 ,3 ]
Maraseni, Tek Narayan [4 ]
Pang, Jiaxing [1 ]
机构
[1] Lanzhou Univ, Coll Earth & Environm Sci, Key Lab Western Chinas Environm Syst, Lanzhou 730000, Gansu, Peoples R China
[2] Chinese Acad Sci, Lanzhou Informat Ctr, Informat Ctr Global Change Studies, Lanzhou 730000, Gansu, Peoples R China
[3] Univ Delaware, Dept Geog, Newark, DE 19716 USA
[4] Univ Southern Queensland, Inst Agr & Environm, Toowoomba, Qld 4350, Australia
关键词
per capita household CO2 emissions (PHCEs); panel data model; spatial variations; determinants; China; CARBON-DIOXIDE EMISSIONS; ENERGY-CONSUMPTION; RESIDENTIAL CONSUMPTION; EMPIRICAL-ANALYSIS; RURAL HOUSEHOLDS; ECONOMIC-GROWTH; LIFE-STYLE; URBAN; URBANIZATION; DECOMPOSITION;
D O I
10.3390/su9071277
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In China, household CO2 emissions (HCEs) are increasing due to economic development and accelerated urbanization. This paper details the spatial variations of per capita household CO2 emissions (PHCEs) in China and the factors impacting PHCEs using spatial statistical analysis and a spatial panel data model for the period from 1997 to 2014. Our results indicate that (1) there has been high provincial variation in rates of change across China, with some provinces' PHCEs increasing by an order of magnitude from 1997 to 2014; (2) the Global Moran's I of PHCEs are above 0, and the spatial differences between PHCEs are caused by the High-High cluster and Low-Low cluster in China; (3) a 1% increase of per capita income, education level, and urbanization will result in increases in PHCEs of 0.6990%, 0.0149%, and 0.0044%, respectively, whilst a 1% increase in household size will result in a 0.0496% decrease in PHCEs. There are a large number of factors impacting CO2 emissions, while there is little specific guidance on the spatial variations and provincial characteristics of CO2 emissions from the perspective of household consumption.
引用
收藏
页数:19
相关论文
共 50 条
  • [21] CO2 intensity and GDP per capita
    Hannesson, Rognvaldur
    [J]. INTERNATIONAL JOURNAL OF ENERGY SECTOR MANAGEMENT, 2019, 14 (02) : 372 - 388
  • [22] Space-based quantification of per capita CO2 emissions from cities
    Wu, Dien
    Lin, John C.
    Oda, Tomohiro
    Kort, Eric A.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2020, 15 (03):
  • [23] European Climate Policy Effectiveness: Convergence Analysis for per Capita CO2 Emissions
    Dionisio Ramírez-Carrera
    Gemma Durán-Romero
    José Antonio Negrín de la Peña
    [J]. International Advances in Economic Research, 2022, 28 : 41 - 43
  • [24] European Climate Policy Effectiveness: Convergence Analysis for per Capita CO2 Emissions
    Ramirez-Carrera, Dionisio
    Duran-Romero, Gemma
    de la Pena, Jose Antonio Negrin
    [J]. INTERNATIONAL ADVANCES IN ECONOMIC RESEARCH, 2022, 28 (1-2) : 41 - 43
  • [25] Analysis of the international distribution of per capita CO2 emissions using the polarization concept
    Duro, Juan Antonio
    Padilla, Emilio
    [J]. ENERGY POLICY, 2008, 36 (01) : 456 - 466
  • [26] International inequalities in per capita CO2 emissions:: A decomposition methodology by Kaya factors
    Duro, JA
    Padilla, E
    [J]. ENERGY ECONOMICS, 2006, 28 (02) : 170 - 187
  • [27] Temporal dynamics and spatial differences of household carbon emissions per capita of China’s provinces during 2000–2019
    Ce Song
    Tao Zhao
    Yange Xiao
    [J]. Environmental Science and Pollution Research, 2022, 29 : 31198 - 31216
  • [28] Inequalities in per capita CO2 emissions in European Union, 1990-2020
    Tian, Wenhui
    Da Costa, Pascal
    [J]. 2014 11TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2014,
  • [29] Space-based quantification of per capita CO2 emissions from cities
    Wu, Dien
    Lin, John C.
    Oda, Tomohiro
    Kort, Eric A.
    [J]. Environmental Research Letters, 2020, 15 (03)
  • [30] Understanding regional inequality in per capita CO2 emissions in China during 1997–2016: sources and driving factors
    Mengxin Luo
    Tao Zhao
    Litong Zhao
    Juan Wang
    [J]. Environmental Science and Pollution Research, 2020, 27 : 32100 - 32115