IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p8084-d1148162.html
   My bibliography  Save this article

Assessing CO 2 Emissions of Online Food Delivery in Japan

Author

Listed:
  • Xujie Hu

    (Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa 252-0882, Japan)

  • Chen Liu

    (Sustainable Consumption and Production Area, Institute for Global Environmental Strategies, 2108-11 Kamiyamaguchi, Hayama 240-0115, Japan)

  • Qiannan Zhuo

    (Graduate School of Media and Governance, Keio University, 5322 Endo, Fujisawa 252-0882, Japan)

  • Dami Moon

    (Department of Urban Engineering, School of Engineering, The University of Tokyo, 7-3-1, Hongo, Bunkyo, Tokyo 113-8656, Japan)

Abstract

The COVID-19 pandemic and the subsequent lockdown of cities have led to the rapid growth of online food delivery (OFD). Moreover, there are concerns that OFD platforms may impose offers on users in order to continue to increase their market share, leading to numerous environmental issues such as overconsumption and a significant increase in plastic packaging waste. Most studies have focused on the environmental impacts associated with food packaging and have been mostly limited to China. However, less research has been carried out on the overall CO 2 emissions of an OFD order including food. In this study, the CO 2 emissions of an OFD order were assessed by considering the production, distribution, consumption and disposal of the ingredients, based on lifecycle thinking and existing secondary data, for three representative food groups (Western food, Japanese food and Chinese food) in Japan. This study found that the food production of an OFD order accounts for more than 70% of the CO 2 emissions of the entire process, especially food ingredient production. Policy support and initiatives such as OFD platforms being able to serve different quantities of food based on actual consumer demand to avoid food waste, as well as changes in delivery methods, would help reduce the CO 2 emissions of OFD.

Suggested Citation

  • Xujie Hu & Chen Liu & Qiannan Zhuo & Dami Moon, 2023. "Assessing CO 2 Emissions of Online Food Delivery in Japan," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:8084-:d:1148162
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/8084/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/8084/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Youfa Wang & Liang Wang & Hong Xue & Weidong Qu, 2016. "A Review of the Growth of the Fast Food Industry in China and Its Potential Impact on Obesity," IJERPH, MDPI, vol. 13(11), pages 1-16, November.
    2. Charlene Li & Miranda Mirosa & Phil Bremer, 2020. "Review of Online Food Delivery Platforms and their Impacts on Sustainability," Sustainability, MDPI, vol. 12(14), pages 1-17, July.
    3. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    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. Kyuhyeon Joo & Heather Markham Kim & Jinsoo Hwang, 2024. "A Study on the Cognitive, Normative, and Affective Factors That Enhance the Pro-Environmental Behaviors of Consumers in the Context of Drone Food Delivery Services," Sustainability, MDPI, vol. 16(19), pages 1-15, September.

    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. Liu, Weijun & Florkowski, Wojciech J., 2021. "Online Meal Ordering Service Quality And Delivery Speed: Opportunities For Restaurant Operators?," Roczniki (Annals), Polish Association of Agricultural Economists and Agribusiness - Stowarzyszenie Ekonomistow Rolnictwa e Agrobiznesu (SERiA), vol. 2021(4).
    2. Harshitha Urs Ajjipura Shankar & Udaya Kumara Kodipalya Nanjappa & M. D. Alsulami & Ballajja C. Prasannakumara, 2022. "A Fuzzy AHP-Fuzzy TOPSIS Urged Baseline Aid for Execution Amendment of an Online Food Delivery Affability," Mathematics, MDPI, vol. 10(16), pages 1-24, August.
    3. Iwona Kowalczuk & Dagmara Stangierska & Jerzy Gębski & Agnieszka Tul-Krzyszczuk & Edyta Zmudczyńska, 2021. "Digital Consumers in the Foodservices Market," Sustainability, MDPI, vol. 13(13), pages 1-18, July.
    4. Nurul Labanihuda Abdull Rahman, 2022. "A Review and Bibliometric Analysis of Online Food Delivery by Using Scopus Database ," GATR Journals jmmr303, Global Academy of Training and Research (GATR) Enterprise.
    5. Xiaoting Dai & Linhai Wu, 2023. "The impact of capitalist profit-seeking behavior by online food delivery platforms on food safety risks and government regulation strategies," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    6. Dogra, Nikhil & Adil, Mohd & Sadiq, Mohd & Dash, Ganesh & Paul, Justin, 2023. "Unraveling customer repurchase intention in OFDL context: An investigation using a hybrid technique of SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    7. Song, Hanqun & Yang, Huijun & Ma, Emily, 2022. "Restaurants’ outdoor signs say more than you think: An enquiry from a linguistic landscape perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    8. Yongrong Xin & Muhammad Irfan & Bilal Ahmad & Madad Ali & Lanqi Xia, 2023. "Identifying How E-Service Quality Affects Perceived Usefulness of Online Reviews in Post-COVID-19 Context: A Sustainable Food Consumption Behavior Paradigm," Sustainability, MDPI, vol. 15(2), pages 1-16, January.
    9. Burlea-Schiopoiu, Adriana & Puiu, Silvia & Dinu, Adina, 2022. "The impact of food delivery applications on Romanian consumers’ behaviour during the COVID-19 pandemic," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Alfredo Pérez-Rueda, 2021. "The role of customers in the gig economy: how perceptions of working conditions and service quality influence the use and recommendation of food delivery services," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 45-75, March.
    11. Correa, Juan C. & Garzón, Wilmer & Brooker, Phillip & Sakarkar, Gopal & Carranza, Steven A. & Yunado, Leidy & Rincón, Alejandro, 2019. "Evaluation of collaborative consumption of food delivery services through web mining techniques," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 45-50.
    12. Yuyang Zhao & Fernando Bacao, 2021. "How Does Gender Moderate Customer Intention of Shopping via Live-Streaming Apps during the COVID-19 Pandemic Lockdown Period?," IJERPH, MDPI, vol. 18(24), pages 1-24, December.
    13. Washington Macías-Rendón & Katia Rodríguez-Morales & Holger Raúl Barriga-Medina, 2021. "COVID-19 lockdown and the satisfaction with online food delivery providers," Estudios Gerenciales, Universidad Icesi, vol. 37(159), pages 200-209, June.
    14. Shahzad, Khuram & Zhang, Qingyu & Zafar, Abaid Ullah & Ashfaq, Muhammad & Rehman, Shafique Ur, 2023. "The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    15. Cailan Lindsay Feingold & Abbas Smiley, 2022. "Healthy Sleep Every Day Keeps the Doctor Away," IJERPH, MDPI, vol. 19(17), pages 1-35, August.
    16. Ding, Ye & Nayga Jr, Rodolfo M. & Zeng, Yinchu & Yang, Wei & Arielle Snell, Heather, 2022. "Consumers’ valuation of a live video feed in restaurant kitchens for online food delivery service," Food Policy, Elsevier, vol. 112(C).
    17. Aqib Habib & Muhammad Irfan & Mohsin Shahzad, 2022. "Modeling the enablers of online consumer engagement and platform preference in online food delivery platforms during COVID-19," Future Business Journal, Springer, vol. 8(1), pages 1-18, December.
    18. Carlos Hernández-Mejía & Delia Torres-Muñoz & Everardo Inzunza-González & Carlos Sánchez-López & Enrique Efrén García-Guerrero, 2022. "A Novel Green Logistics Technique for Planning Merchandise Deliveries: A Case Study," Logistics, MDPI, vol. 6(3), pages 1-19, August.
    19. Chen Wei & Sobhan Asian & Gurdal Ertek & Zhi-Hua Hu, 2020. "Location-based pricing and channel selection in a supply chain: a case study from the food retail industry," Annals of Operations Research, Springer, vol. 291(1), pages 959-984, August.
    20. Fan Cheong & Rob Law, 2022. "Will Macau’s Restaurants Survive or Thrive after Entering the O2O Food Delivery Platform in the COVID-19 Pandemic?," IJERPH, MDPI, vol. 19(9), pages 1-19, April.

    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:gam:jsusta:v:15:y:2023:i:10:p:8084-:d:1148162. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.