IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v306y2022ipbs0306261921013660.html
   My bibliography  Save this article

Evaluating food supply chain emissions from Japanese household consumption

Author

Listed:
  • Li, Xi
  • Ouyang, Zhigang
  • Zhang, Qiong
  • Shang, Wen-long
  • Huang, Liqiao
  • Wu, Yi
  • Gao, Yuning

Abstract

Given its substantial contribution to greenhouse gas emissions, household consumption has been identified as a major contributor to climate change. Among various household activities, eating is a basic activity undertaken by everyone, and thus the environmental consequences of food consumption are attracting increasing attention. Although household food consumption has been widely discussed, there is still no comprehensive carbon footprint analysis of the entire food supply chain, including the differences among household segments. To address this knowledge gap, in this paper we use a modified environmental input–output model to quantify food-related carbon footprints throughout the entire supply chain. Taking Japan as a case study, results indicate that more than 60% of the food-related carbon footprint occurs at the production stage, while carbon emissions from the wholesale and retail stages account for up to about 38%. Furthermore, the consumption of the richest households produces the highest per capita carbon emissions of all income groups, and this holds true for their consumption across food types. Other findings include that in metropolitan areas, such as the Kanto area, dining out accounts for the biggest share, contributing 16% of total emissions, and that both the regional- or income-based disparity in emissions are significantly induced by red meat consumption. Optimizing food supply chain management and encouraging local consumption of fresh fruit, vegetables and meat are therefore essential for facilitating reduced household food carbon emissions.

Suggested Citation

  • Li, Xi & Ouyang, Zhigang & Zhang, Qiong & Shang, Wen-long & Huang, Liqiao & Wu, Yi & Gao, Yuning, 2022. "Evaluating food supply chain emissions from Japanese household consumption," Applied Energy, Elsevier, vol. 306(PB).
  • Handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013660
    DOI: 10.1016/j.apenergy.2021.118080
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261921013660
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.apenergy.2021.118080?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Andrieu, N. & Blundo-Canto, G. & Cruz-Garcia, G.S., 2019. "Trade-offs between food security and forest exploitation by mestizo households in Ucayali, Peruvian Amazon," Agricultural Systems, Elsevier, vol. 173(C), pages 64-77.
    2. Manfred Lenzen & Greg M. Peters, 2010. "How City Dwellers Affect Their Resource Hinterland," Journal of Industrial Ecology, Yale University, vol. 14(1), pages 73-90, January.
    3. Jesper Munksgaard & Mette Wier & Manfred Lenzen & Christopher Dey, 2005. "Using Input‐Output Analysis to Measure the Environmental Pressure of Consumption at Different Spatial Levels," Journal of Industrial Ecology, Yale University, vol. 9(1‐2), pages 169-185, January.
    4. Chantal Le Mouël & Anna Birgit Milford & Benjamin L. Bodirsky & Susanne Rolinski, 2019. "Drivers of meat consumption," Post-Print hal-02175593, HAL.
    5. Wiedmann, Thomas, 2009. "A review of recent multi-region input-output models used for consumption-based emission and resource accounting," Ecological Economics, Elsevier, vol. 69(2), pages 211-222, December.
    6. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    7. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9781107005198.
    8. Long, Yin & Yoshida, Yoshikuni & Fang, Kai & Zhang, Haoran & Dhondt, Maya, 2019. "City-level household carbon footprint from purchaser point of view by a modified input-output model," Applied Energy, Elsevier, vol. 236(C), pages 379-387.
    9. Zurina Hanafi & Dong Li, 2013. "Impact of Carbon Emission Control Policies on Food Logistics Chain Speed and Cost Performance," Springer Books, in: Feng Chen & Yisheng Liu & Guowei Hua (ed.), Ltlgb 2012, edition 127, chapter 0, pages 743-749, Springer.
    10. Arunima Malik & Darian McBain & Thomas O. Wiedmann & Manfred Lenzen & Joy Murray, 2019. "Advancements in Input‐Output Models and Indicators for Consumption‐Based Accounting," Journal of Industrial Ecology, Yale University, vol. 23(2), pages 300-312, April.
    11. Jiang, Yida & Long, Yin & Liu, Qiaoling & Dowaki, Kiyoshi & Ihara, Tomohiko, 2020. "Carbon emission quantification and decarbonization policy exploration for the household sector - Evidence from 51 Japanese cities," Energy Policy, Elsevier, vol. 140(C).
    12. Martin C. Heller & Gregory A. Keoleian, 2015. "Greenhouse Gas Emission Estimates of U.S. Dietary Choices and Food Loss," Journal of Industrial Ecology, Yale University, vol. 19(3), pages 391-401, June.
    13. Global Energy Assessment Writing Team,, 2012. "Global Energy Assessment," Cambridge Books, Cambridge University Press, number 9780521182935.
    14. Kim, Brent & Neff, Roni, 2009. "Measurement and communication of greenhouse gas emissions from U.S. food consumption via carbon calculators," Ecological Economics, Elsevier, vol. 69(1), pages 186-196, November.
    15. Edgar Hertwich, 2011. "The Life Cycle Environmental Impacts Of Consumption," Economic Systems Research, Taylor & Francis Journals, vol. 23(1), pages 27-47.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yu, Feng & Dong, Huijuan & Geng, Yong & Fang, Alex S. & Li, Haifeng, 2022. "Uncovering the differences of household carbon footprints and driving forces between China and Japan," Energy Policy, Elsevier, vol. 165(C).
    2. Wang, Keying & Cui, Yongyan & Zhang, Hongwu & Shi, Xunpeng & Xue, Jinjun & Yuan, Zhao, 2022. "Household carbon footprints inequality in China: Drivers, components and dynamics," Energy Economics, Elsevier, vol. 115(C).
    3. Lei, Mingyu & Ding, Qun & Cai, Wenjia & Wang, Can, 2022. "The exploration of joint carbon mitigation actions between demand- and supply-side for specific household consumption behaviors — A case study in China," Applied Energy, Elsevier, vol. 324(C).
    4. Tantiwatthanaphanich, Thanapan & Shao, Xuan & Huang, Liqiao & Yoshida, Yoshikuni & Long, Yin, 2022. "Evaluating carbon footprint embodied in Japanese food consumption based on global supply chain," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 56-65.
    5. Khalid Zaman & Muhammad Khalid Anser & Usama Awan & Wiwik Handayani & Hailan Salamun & Abdul Rashid Abdul Aziz & Mohd Khata Jabor & Kamalularifin Subari, 2022. "Transportation-Induced Carbon Emissions Jeopardize Healthcare Logistics Sustainability: Toward a Healthier Today and a Better Tomorrow," Logistics, MDPI, vol. 6(2), pages 1-17, April.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jiang, Yida & Long, Yin & Liu, Qiaoling & Dowaki, Kiyoshi & Ihara, Tomohiko, 2020. "Carbon emission quantification and decarbonization policy exploration for the household sector - Evidence from 51 Japanese cities," Energy Policy, Elsevier, vol. 140(C).
    2. Yosuke Shigetomi & Keisuke Nansai & Shigemi Kagawa & Susumu Tohno, 2016. "Influence of income difference on carbon and material footprints for critical metals: the case of Japanese households," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 5(1), pages 1-19, December.
    3. Wiedenhofer, Dominik & Lenzen, Manfred & Steinberger, Julia K., 2013. "Energy requirements of consumption: Urban form, climatic and socio-economic factors, rebounds and their policy implications," Energy Policy, Elsevier, vol. 63(C), pages 696-707.
    4. Long, Yin & Yoshida, Yoshikuni, 2018. "Quantifying city-scale emission responsibility based on input-output analysis – Insight from Tokyo, Japan," Applied Energy, Elsevier, vol. 218(C), pages 349-360.
    5. Daniel Moran & Richard Wood, 2014. "Convergence Between The Eora, Wiod, Exiobase, And Openeu'S Consumption-Based Carbon Accounts," Economic Systems Research, Taylor & Francis Journals, vol. 26(3), pages 245-261, September.
    6. Jun Nakatani & Tamon Maruyama & Kosuke Fukuchi & Yuichi Moriguchi, 2015. "A Practical Approach to Screening Potential Environmental Hotspots of Different Impact Categories in Supply Chains," Sustainability, MDPI, vol. 7(9), pages 1-15, August.
    7. Tao Lin & Yunjun Yu & Xuemei Bai & Ling Feng & Jin Wang, 2013. "Greenhouse Gas Emissions Accounting of Urban Residential Consumption: A Household Survey Based Approach," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-12, February.
    8. Chen, Guangwu & Zhu, Yuhan & Wiedmann, Thomas & Yao, Lina & Xu, Lixiao & Wang, Yafei, 2019. "Urban-rural disparities of household energy requirements and influence factors in China: Classification tree models," Applied Energy, Elsevier, vol. 250(C), pages 1321-1335.
    9. Ryu Koide & Michael Lettenmeier & Satoshi Kojima & Viivi Toivio & Aryanie Amellina & Lewis Akenji, 2019. "Carbon Footprints and Consumer Lifestyles: An Analysis of Lifestyle Factors and Gap Analysis by Consumer Segment in Japan," Sustainability, MDPI, vol. 11(21), pages 1-25, October.
    10. Chen, Shaoqing & Long, Huihui & Chen, Bin & Feng, Kuishuang & Hubacek, Klaus, 2020. "Urban carbon footprints across scale: Important considerations for choosing system boundaries," Applied Energy, Elsevier, vol. 259(C).
    11. Mundaca, Luis & Román, Rocio & Cansino, José M., 2015. "Towards a Green Energy Economy? A macroeconomic-climate evaluation of Sweden’s CO2 emissions," Applied Energy, Elsevier, vol. 148(C), pages 196-209.
    12. Long, Yin & Yoshida, Yoshikuni & Meng, Jing & Guan, Dabo & Yao, Liming & Zhang, Haoran, 2019. "Unequal age-based household emission and its monthly variation embodied in energy consumption – A cases study of Tokyo, Japan," Applied Energy, Elsevier, vol. 247(C), pages 350-362.
    13. Duarte, Rosa & Mainar, Alfredo & Sánchez-Chóliz, Julio, 2013. "The role of consumption patterns, demand and technological factors on the recent evolution of CO2 emissions in a group of advanced economies," Ecological Economics, Elsevier, vol. 96(C), pages 1-13.
    14. Li, Xi & Zhang, Runsen & Chen, Jundong & Jiang, Yida & Zhang, Qiong & Long, Yin, 2021. "Urban-scale carbon footprint evaluation based on citizen travel demand in Japan," Applied Energy, Elsevier, vol. 286(C).
    15. Fais, Birgit & Sabio, Nagore & Strachan, Neil, 2016. "The critical role of the industrial sector in reaching long-term emission reduction, energy efficiency and renewable targets," Applied Energy, Elsevier, vol. 162(C), pages 699-712.
    16. Nagashima, Fumiya, 2018. "The sign reversal problem in structural decomposition analysis," Energy Economics, Elsevier, vol. 72(C), pages 307-312.
    17. Long, Yin & Dong, Liang & Yoshida, Yoshikuni & Li, Zhaoling, 2018. "Evaluation of energy-related household carbon footprints in metropolitan areas of Japan," Ecological Modelling, Elsevier, vol. 377(C), pages 16-25.
    18. Anne-Maree Dowd & Michelle Rodriguez & Talia Jeanneret, 2015. "Social Science Insights for the BioCCS Industry," Energies, MDPI, vol. 8(5), pages 1-19, May.
    19. Fankhauser, Samuel & Jotzo, Frank, 2017. "Economic growth and development with low-carbon energy," LSE Research Online Documents on Economics 86850, London School of Economics and Political Science, LSE Library.
    20. Tilmann Rave, 2013. "Innovation Indicators on Global Climate Change – R&D Expenditure and Patents," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(15), pages 34-41, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:306:y:2022:i:pb:s0306261921013660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.