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    宋国宝

    • 副教授     博士生导师   硕士生导师
    • 性别:男
    • 毕业院校:北京师范大学
    • 学位:博士
    • 所在单位:环境学院
    • 学科:环境科学. 环境工程
    • 办公地点:环境学院B715室
    • 联系方式:大连理工大学 环境学院 工业生态与环境工程教育部重点实验室, 邮编116024 邮件:gb.song@dlut.edu.cn
    • 电子邮箱:gb.song@dlut.edu.cn

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    Dietary acculturation generates virtual carbon flow: The overlaid effects of geographically varied dietary patterns and population migration in urban and materials-flowing China

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    论文类型:期刊论文

    发表时间:2021-01-10

    发表刊物:JOURNAL OF CLEANER PRODUCTION

    卷号:276

    ISSN号:0959-6526

    关键字:Geographically varied diet; Floating population; Dietary acculturation; Urbanisation; Climate change

    摘要:Quantifying the carbon footprint (CF) of food-demand can aid in mitigating the effects of global climate change, especially in the context of urbanisation, which enriches urban diets with animal products. Urbanisation also attracts large numbers of people migrating from rural areas and even across provinces in China. Migrants gradually shift from the dietary patterns of their hometowns, toward those of their destinations, a process known as "dietary acculturation." However, few studies have explored the dietary CF resulting from such migrations. Here, we compared the dietary patterns of rural vs. urban households in 31 Chinese provinces, and quantified the CF of dietary acculturation by overlaying interprovincial migrant populations with geographically varied dietary patterns. Our results show that the mean net dietary CF increased by 21 Mt CO(2)e yr(-1) due to dietary acculturation. The increased intakes of aquatic products and beef jointly contributed 75% of this CF growth, while declined cereal intake offset similar to 44%. The wealthy province of Guangdong, which has the largest immigrant population, accounts for similar to 30% of growth in the dietary CF. Regression analyses revealed that the Engel coefficient had a strong marginal effect on the variations in CF attributable to dietary acculturation. Additionally, the dietary CF of migrant populations was positively correlated with the virtual environmental flows (e.g., carbon, water, and energy) that are embedded in regional commodity trades. This quantification of the CF of dietary acculturation provides novel insights that may be used to further quantify the carbon emissions of food demand. (C) 2020 Elsevier Ltd. All rights reserved.