A comparative study on the changes of residential living consumption carbon emissions in urban and rural China
FAN Jian-shuang1,2, ZHOU Lin1,2
1. College of Economics and Management, Zhejiang University of Technology, Hangzhou 310023, China;
2. Research Center of Technological Innovation and Enterprise Internationalization, Zhejiang University of Technology, Hangzhou 310023, China
Based on the carbon emission coefficient method, this paper estimated the direct carbon emissions caused by the residential living consumption of urban, rural and overall (including urban and rural) in China from 1997 to 2015. Further, the Dagum Gini coefficient and Kernel density function estimation method were used to test the regional disparities and distribution dynamics of residential living consumption carbon emissions in urban and rural China. At the same time, the Multiplicative Logarithmic Mean Divisia Decomposition Index (M-LMDI) method was used to analyze the effects of direct energy consumption intensity, per capita consumption level and unit energy carbon emission intensity on the changes of residential living consumption carbon emissions, and further we examined the urban-rural differences in the impact of relevant variables on residential living consumption carbon emissions in each province. The results suggested that:(1) the residential per living consumption carbon emissions in urban and rural China both showed an increasing trend year by year, and there were significant non-equilibrium characteristics in space. (2) The total regional disparities of residential per living consumption carbon emissions showed a downward trend from 0.379 in 1997 to 0.244 in 2015. The inter-group gap between urban and rural residents' consumption carbon emissions was the main source of urban-rural disparity from 1997 to 1999, and its contribution rate exceeded 50%. The intra-group gap became the main source of urban-rural disparity after 2000, and its contribution rate was greater than 40% that exceeded the inter-group gap. (3) The residential per living consumption carbon emissions of urban and rural both increased and the reginal differences enlarged as well. (4) The province that contributed the most to the changes in residential per living consumption carbon emissions in China was Inner Mongolia, with a cumulative contribution value of 0.1005. The province with the smallest contribution was Yunnan, with a cumulative contribution of 0.0125. (5) The contribution of rural energy consumption intensity and per capita consumption level were greater than the urban areas during the study period, and the contribution level of unit energy carbon emission intensity in in rural and urban showed volatility.
范建双, 周琳. 中国城乡居民生活消费碳排放变化的比较研究[J]. 中国环境科学, 2018, 38(11): 4369-4383.
FAN Jian-shuang, ZHOU Lin. A comparative study on the changes of residential living consumption carbon emissions in urban and rural China. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(11): 4369-4383.
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