Reducing Carbon Footprint Inequality of Household Consumption in Rural Areas: Analysis from Five Representative Provinces in China

被引:77
作者
Sun, Mingxing [1 ]
Chen, Guangwu [2 ,3 ]
Xu, Xiangbo [1 ]
Zhang, Linxiu [1 ]
Hubacek, Klaus [4 ]
Wang, Yutao [5 ,6 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
[2] Beijing Normal Univ, Sch Stat, Beijing 100875, Peoples R China
[3] UNSW Sydney, Sch Civil & Environm Engn, Sustainabil Assessment Program SAP, Sydney, NSW 2052, Australia
[4] Univ Groningen, Integrated Res Energy Environm & Soc IREES, Energy & Sustainabil Res Inst Groningen ESRIG, NL-9747 AG Groningen, Netherlands
[5] Fudan Univ, Shanghai Key Lab Atmospher Particle Pollut & Prev, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China
[6] Fudan Univ, Tyndall Ctr, Dept Environm Sci & Engn, Shanghai 200438, Peoples R China
基金
中国国家自然科学基金;
关键词
household consumption; carbon footprint; inequality; EEIOA; microlevel data; GREENHOUSE-GAS EMISSIONS; ENERGY-CONSUMPTION; ENVIRONMENTAL IMPACTS; URBAN HOUSEHOLDS; INCOME;
D O I
10.1021/acs.est.1c01374
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Household consumption carbon footprint and inequality reductions are vital for a sustainable society, especially for rural areas. This study, focusing on rural China, one of the fastest growing economies with a massive population, explored the carbon footprint and inequality of household consumption using the latest micro household survey data of 2018 linked to environmental extended input--output analysis. The results show that in 2018 in rural China, the average household carbon footprint is 2.46 tons CO2-eq per capita, which is around one-third of China's average footprint, indicating the large potential for further growth. Housing (45.32%), transportation (20.45%), and food (19.62%) are the dominant contributors to the carbon footprint. Meanwhile, great inequality, with a Gini coefficient of 0.488, among rural households is observed, which is largely due to differences in type of house built or purchased (explaining 24.44% of the variation), heating (18.10%), car purchase (12.44%), and petrol consumption (12.44%). Provinces, average education, and nonfarm income are among the important factors influencing the inequality. In the process of urbanization and rural revitalization, there is a high possibility that the household carbon footprint continues to increase, maintaining high levels of inequality. The current energy transition toward less carbon-intensive fuels in rural China is likely to dampen the growth rates of carbon footprints and potentially decrease inequality. Carbon intensity decrease could significantly reduce carbon footprints, but increase inequality. More comprehensive measures to reduce carbon footprint and inequality are needed, including transitioning to clean energy, poverty alleviation, reduction of income inequality, and better health care coverage.
引用
收藏
页码:11511 / 11520
页数:10
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