中国餐饮消费驱动的温室气体跨产业传导机制

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摘要基于环境投入产出模型、结构路径分析和介数中心性方法揭示了中国餐饮消费驱动的温室气体(GHG)跨产业传导机制(包括重要传导路径和关键控制节点).结果表明:(1)2002~2020年间中国餐饮业GHG足迹在波动中增加.畜牧业→屠宰及肉类加工业→餐饮业→城镇居民消费、畜牧业→餐饮业→城镇居民消费是对餐饮业GHG足迹贡献最大的2条传导路径,种植业、畜牧业、电力热力的生产和供应业是传导路径涉及较多的起点部门.所识别的重要传导路径是餐饮业低碳发展决策的重要抓手.(2)屠宰及肉类加工业、谷物加工业、植物油加工业是餐饮业GHG足迹在产业链中隐含传输的关键控制节点,其2020年传输的隐含GHG规模分别为12.2,8.0和7.0Mt CO₂ -eq,应关注这些部门的生产效率提升以降低餐饮业GHG足迹.(3)2002~2020年间谷物加工业、电力热力的生产和供应业等部门的控制节点作用逐渐增强.

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关键词 ：餐饮业, 温室气体, 投入产出分析, 结构路径分析, 网络分析

Abstract：Based on the environmental input-output model, structural path analysis, and betweenness centrality method, the inter-sectoral transmission mechanism (including key supply chain paths and critical transmission sectors) of greenhouse gas (GHG) emissions driven by catering consumption in China was uncovered. The results showed that (1) the GHG footprint of China’s catering consumption increased with fluctuations during 2002~2020. The top two supply chain paths with the largest contributions to the GHG footprint of China’s catering consumption were “animal husbandry → slaughtering and meat processing → catering → urban consumption”, and “animal husbandry → catering → urban consumption”. Most of the critical supply chain paths started in the three sectors including cultivation, animal husbandry, and electricity and heat production. The key supply chain paths and related starting sectors were the hotspots of policy decisions on catering industry’s low-carbon development. (2) The top three critical transmission sectors for catering industry’s GHG footprint were slaughtering and meat processing, cereal processing, and vegetable oil processing. In 2020, they transmitted 12.2, 8.0, and 7.0Mt CO₂-eq of embodied GHG emissions along the catering industry’s supply chains, respectively. More attention should be paid to the productivity improvement in these sectors to reduce the catering industry’s GHG footprint. (3) The transmission roles of cereal processing, and electricity and heat production gradually increased during 2002~2020.

Key words： catering greenhouse gas input-output analysis structural path analysis network analysis

收稿日期: 2024-03-02

PACS:

X21

基金资助:国家自然科学基金项目(52325005,72293602);广东省“珠江人才计划”引进创新创业团队项目(2019ZT08L213)

通讯作者: 梁赛,教授,liangsai@gdut.edu.cn E-mail: liangsai@gdut.edu.cn

作者简介: 磨昕(1997-),女,广西壮族自治区南宁人,广东工业大学硕士研究生,主要从事餐饮活动的环境足迹研究.kavnakee@163.com.

引用本文:

磨昕, 钟秋萌, 梁赛. 中国餐饮消费驱动的温室气体跨产业传导机制[J]. 中国环境科学, 2024, 44(9): 5321-5328. MO Xin, ZHONG Qiu-meng, LIANG Sai. Inter-sectoral transmission mechanism of greenhouse gas emissions driven by catering consumption in China. CHINA ENVIRONMENTAL SCIENCECE, 2024, 44(9): 5321-5328.

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http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2024/V44/I9/5321

[1] Crippa M, Solazzo E, Guizzardi D, et al. Food systems are responsible for a third of global anthropogenic GHG emissions [J]. Nature Food, 2021,2(3):198-209.
[2] Ivanovich C C, Sun T Y, Gordon D R, et al. Future warming from global food consumption [J]. Nature Climate Change, 2023,13(3):297-302.
[3] Tubiello F N, Karl K, Flammini A, et al. Pre-and post-production processes increasingly dominate greenhouse gas emissions from agri-food systems [J]. Earth System Science Data, 2022,14(4):1795-1809.
[4] 丁一珂.中国居民食品消费的环境效应及其影响因素研究[D]. 济南:山东大学, 2023. Ding Y K. Research on the environmental effects of food consumption and their influencing factors in China [D]. Jinan: Shandong University, 2023.
[5] Yue Q, Xu X R, Hillier J, et al. Mitigating greenhouse gas emissions in agriculture: From farm production to food consumption [J]. Journal of Cleaner Production, 2017,149:1011-1019.
[6] Li J, Song G B, Semakula H M, et al. Climatic burden of eating at home against away-from-home: A novel Bayesian Belief Network model for the mechanism of eating-out in urban China [J]. Science of the Total Environment, 2019,650:224-232.
[7] Mistretta M, Caputo P, Cellura M, et al. Energy and environmental life cycle assessment of an institutional catering service: An Italian case study [J]. Science of the Total Environment, 2019,657:1150-1160.
[8] Calderón L A, Herrero M, Laca A, et al. Environmental impact of a traditional cooked dish at four different manufacturing scales: from ready meal industry and catering company to traditional restaurant and homemade [J]. The International Journal of Life Cycle Assessment, 2018,23(4):811-823.
[9] Jungbluth N, Keller R, König A. ONE TWO WE-life cycle management in canteens together with suppliers, customers and guests [J]. The International Journal of Life Cycle Assessment, 2016,21(5):646-653.
[10] Cerutti A K, Ardente F, Contu S, et al. Modelling, assessing, and ranking public procurement options for a climate-friendly catering service [J]. The International Journal of Life Cycle Assessment, 2018,23(1):95-115.
[11] Lenzen M. Errors in conventional and input-output-based life-cycle inventories [J]. Journal of Industrial Ecology, 2000,4(4):127-148.
[12] Guan Y R, Shan Y L, Huang Q, et al. Assessment to China’s recent emission pattern shifts [J]. Earth’s Future, 2021,9(11).
[13] Shan Y L, Guan D B, Zheng H R, et al. China CO₂ emission accounts 1997~2015[J]. Scientific Data, 2018,5(1):170201.
[14] 国家统计局能源统计司.中国能源统计年鉴2002~2020[M]. 北京:中国统计出版社, 2022. Department of Energy Statistics, National Bureau of Statistics. China energy statistical yearbook 2002~2020[M]. Beijing: China Statistics Press, 2022.
[15] IPCC. 2006 IPCC guidelines for national greenhouse gas inventories [M]. Intergovernmental Panel on Climate Change (IPCC), 2006.
[16] Zhang B. Methane emissions of energy activities in China 1980~2007[J]. Renewable and Sustainable Energy Reviews, 2014,29:11-21.
[17] Zhang B, Chen G Q. China’s CH4 and CO₂ emissions: Bottom-up estimation and comparative analysis [J]. Ecological Indicators, 2014, 47:112-122.
[18] Zhu T, Bian W, Zhang S, et al. An improved approach to estimate methane emissions from coal mining in China [J]. Environmental Science & Technology, 2017,51(21):12072-12080.
[19] 中国农业年鉴编辑委员会.中国农业年鉴2002~2020[M]. 北京:中国农业出版社, 2021. China Agricultural Yearbook Editorial Committee. China agricultural yearbook 2002~2020[M]. Beijing: China Agricultural Press, 2021.
[20] 闵继胜,胡浩.中国农业生产温室气体排放量的测算[J]. 中国人口·资源与环境, 2012,22(7):21-27. Min J S, Hu H. Calculation of greenhouse gas emission from agricultural production in China [J]. China Population, Resources and Environment, 2012,22(7):21-27.
[21] 中华人民共和国国家发展和改革委员会.省级温室气体清单编制指南(试行) [R]. 北京:中华人民共和国国家发展和改革委员会, 2011. The National Development and Reform Commission. Guidelines for the preparation of provincial greenhouse gas inventories [R]. Beijing: The National Development and Reform Commission, 2011.
[22] Cui S H, Shi Y L, Groffman P M, et al. Centennial-scale analysis of the creation and fate of reactive nitrogen in China (1910~2010) [J]. Proceedings of the National Academy of Sciences, 2013,110(6):2052-2057.
[23] Gao B, Huang Y F, Huang W, et al. Driving forces and impacts of food system nitrogen flows in China, 1990 to 2012[J]. Science of the Total Environment, 2018:430-441.
[24] Yu X, Tan C. China’s process-related greenhouse gas emission dataset 1990~2020[J]. Scientific Data, 2023,10(1):55.
[25] 国家统计局,生态环境部.中国环境统计年鉴2002~2020[M]. 北京:中国统计出版社, 2021. National Bureau of Statistics, Ministry of Ecology and Environment. China statistical yearbook on environment 2002~2020[M]. Beijing: China Statistics Press, 2021.
[26] 王火根,汪钰婷,肖丽香.基于IO-SDA法的2020~2060年中国行业二氧化碳排放预测与分析[J]. 中国环境科学, 2024,44(3):1743-1755. Wang H G, Wang Y T, Xiao L X. Forecast and analysis of China’s industrial CO₂ emissions from 2020 to 2060 based on the IO-SDA method [J]. China Environmental Science, 2024,44(3):1743-1755.
[27] 国家统计局国民经济核算司.中国投入产出表2002~2020[M]. 北京:中国统计出版社, 2022. Department of National Economic Accounting, National Bureau of Statistics. Input-output tables of China 2002~2020[M]. Beijing: China Statistics Press, 2022.
[28] Liang S, Wang Y F, Zhang T Z, et al. Structural analysis of material flows in China based on physical and monetary input-output models [J]. Journal of Cleaner Production, 2017,158:209-217.
[29] Peters G P, Weber C L, Guan D B, et al. China’s growing CO₂ emissions-A race between increasing consumption and efficiency gains [J]. Environmental Science & Technology, 2007,41(17):5939-5944.
[30] Li K, Liang S, Liang Y H, et al. Mapping spatial supply chain paths for embodied water flows driven by food demand in China [J]. Science of The Total Environment, 2021,786:147480.
[31] Treloar G J. Extracting embodied energy paths from input–output tables: towards an input–output-based hybrid energy analysis method [J]. Economic Systems Research, 1997,9(4):375-391.
[32] Liang S, Qu S, Xu M. Betweenness-based method to identify critical transmission sectors for supply Chain environmental pressure mitigation [J]. Environmental Science & Technology, 2016,50(3):1330-1337.
[33] 苏冰涛.中国城乡居民食品消费碳足迹的变化趋势[J]. 中国人口·资源与环境, 2023,33(3):13-22. Su B T. Transition of the food consumption carbon footprint of China’s urban and rural residents [J]. China Population, Resources and Environment, 2023,33(3):13-22.
[34] 信猛,陈菁泉,彭雪鹏,等.农业碳排放驱动因素——区域间贸易碳排放转移网络视角[J]. 中国环境科学, 2023,43(3):1460-1472. Xin M, Chen J Q, Peng X P, et al. Driving factors of agricultural carbon emission: From the perspective of interregional trade carbon emission transfer network [J]. China Environmental Science, 2023, 43(3):1460-1472.
[35] 国务院.国务院关于印发电力体制改革方案的通知[EB/OL]. (2002-2-10) [2017-9-13]. https://www.gov.cn/zhengce/content/2017-09/13/content_5223177.htm.
[36] Cheng L X, Zhang X M, Reis S, et al. A 12% switch from monogastric to ruminant livestock production can reduce emissions and boost crop production for 525million people [J]. Nature Food, 2022,3(12):1040-1051.
[37] Xu P, Houlton B Z, Zheng Y, et al. Policy-enabled stabilization of nitrous oxide emissions from livestock production in China over 1978~2017[J]. Nature Food, 2022,3(5):356-366.
[38] Yang X C, Liang S, Qi J C, et al. Identifying sectoral impacts on global scarce water uses from multiple perspectives [J]. Journal of Industrial Ecology, 2021,25(6):1503-1517.
[39] Li X, Liu X J, Lu S J, et al. China’s food loss and waste embodies increasing environmental impacts [J]. Nature Food, 2021,2(7):519-528.
[40] 蒋璐,汪瑞,刘蓓蓓.食品消费模式的碳足迹差异研究[J]. 中国环境科学, 2023,43(12):6755-6762. Jiang L, Wang R, Liu B B. Differences in carbon footprint of food consumption patterns [J]. China Environmental Science, 2023,43(12): 6755-6762.
[41] Tarasuk V, Eakin J M. Food assistance through “surplus” food: Insights from an ethnographic study of food bank work [J]. Agriculture and Human Values, 2005,22(2):177-186.