马书明
Associate Professor Supervisor of Master's Candidates
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:School of Environmental Science and Technology
Discipline:Environmental Engineering. Environmental Science
Business Address:Room 301, Building of School of Environmental Science and Technology
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Date:2021-06-17
Indexed by:Journal Article
Date of Publication:2021-01-10
Journal:JOURNAL OF CLEANER PRODUCTION
Volume:276
ISSN:0959-6526
Key Words:Geographically varied diet; Floating population; Dietary acculturation; Urbanisation; Climate change
Abstract: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.
马书明,副教授,硕士生导师;本、硕、博毕业于大连理工大学,加拿大麦吉尔大学博士后。主要研究方向为(1)环境大数据与机器学习模型、(2)区域生态价值和风险模型、(3)环境影响评价与环境规划、(4)信息决策系统与智慧城市。承担国家自然科学基金、企事业横向课题等课题20余项,曾参与并完成国家863项目、大连市环境总体规划专项课题等研究,共发表论文20余篇,软件著作权10余项。