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直接和间接消费所引起的中国城乡空气污染相关过早死亡不平等性
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作者 王旌旭 林金泰 +8 位作者 刘宇 吴锋 倪睿婧 陈璐璐 任芳萱 杜鸣溪 李钟仪 张浩雨 刘正中 《Science Bulletin》 SCIE EI CAS CSCD 2024年第4期544-553,共10页
Household consumption in China is associated with substantial PM_(2.5)pollution,through activities directly(i.e.,fuel use)and/or indirectly(i.e.,consumption of goods and services)causing pollutant emissions.Urban and ... Household consumption in China is associated with substantial PM_(2.5)pollution,through activities directly(i.e.,fuel use)and/or indirectly(i.e.,consumption of goods and services)causing pollutant emissions.Urban and rural households exhibit different consumption preferences and living areas,thus their contributions to and suffering from air pollution could differ.Assessing this contrast is crucial for comprehending the environmental impacts of the nation’s ongoing urbanization process.Here we quantify Chinese urban and rural households’contributions to ambient PM_(2.5)pollution and the health risks they suffer from,by integrating economic,atmospheric,and health models and/or datasets.The national premature deaths related to long-term exposure to PM_(2.5)pollution contributed by total household consumption are estimated to be 1.1 million cases in 2015,among which 56%are urban households and 44%are rural households.For pollution contributed indirectly,urban households,especially in developed provinces,tend to bear lower mortality risks compared with the portions of deaths or pollution they contribute.The opposite results are true for direct pollution.With China’s rapid urbanization process,without adequate reduction in emission intensity,the increased indirect pollution-associated premature deaths could largely offset that avoided by reduced direct pollution,and the indirect pollution-associated urban–rural inequalities might become severer.Developing pollution mitigation strategies from both production and consumption sides could help with reducing pollution-related mortality and associated urban-rural inequality. 展开更多
关键词 urban and rural households Pollution contribution Mortality risk INEQUALITY PM_(2.5)
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