IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i15p11622-d1204135.html
   My bibliography  Save this article

A Study on the Recycling Classification Behavior of Express Packaging Based on UTAUT under “Dual Carbon” Targets

Author

Listed:
  • Ying Zhan

    (Department of Business Administration, Wuhan Business University, Wuhan 430056, China)

  • Yue Sun

    (Department of Business Administration, Wuhan Business University, Wuhan 430056, China)

  • Junfei Xu

    (College of Weaponry Engineering, Naval University of Engineering, Wuhan 430033, China)

Abstract

The rapid development of e-commerce has brought about a sharp increase in the demand for express packaging materials, which in turn has led to problems such as resource waste and environmental pollution. Under the target of “dual carbon”, the urgency and importance of effective classification and recycling of express packaging waste cannot be ignored. Based on the unified theory of technology acceptance and use (UTAUT) model and the characteristics of express packaging, this study selected performance expectancy, effort expectancy, social influence and perceived value as core variables, and gender, age and frequency as moderating variables, and established a structural equation through survey and analysis to study the factors influencing consumers’ willingness to recycle express packaging. The results of the study showed that performance expectancy, effort expectancy, social influence and perceived value had a significant positive effect on consumers’ willingness to classify. Classification willingness had a significant positive effect on consumers’ classification behavior. In addition to directly influencing classification intention, performance expectancy, effort expectancy and social influence also have mediating effects. In addition, gender played a moderating role in the effects of performance expectancy and social influence on classification intention. Based on the findings, this study proposes targeted measures to promote the green and healthy development of the express delivery industry.

Suggested Citation

  • Ying Zhan & Yue Sun & Junfei Xu, 2023. "A Study on the Recycling Classification Behavior of Express Packaging Based on UTAUT under “Dual Carbon” Targets," Sustainability, MDPI, vol. 15(15), pages 1-22, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11622-:d:1204135
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/15/11622/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/15/11622/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sisi Wu & Xuan Gong & Yunfei Wang & Jian Cao, 2022. "Consumer Cognition and Management Perspective on Express Packaging Pollution," IJERPH, MDPI, vol. 19(8), pages 1-23, April.
    2. Zhicheng Feng & Jie Yang & Lifang Chen & Zhichao Chen & Linhong Li, 2022. "An Intelligent Waste-Sorting and Recycling Device Based on Improved EfficientNet," IJERPH, MDPI, vol. 19(23), pages 1-18, November.
    3. Jia Mao & Jinyuan Cheng & Xiangyu Li & Honggang Zhao & Ciyun Lin, 2023. "Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions," Mathematics, MDPI, vol. 11(4), pages 1-32, February.
    4. Lu Xiao & Rongrong Fan & Chaojie Wang & Jun Wang, 2020. "Policy Analyses on Promoting the Recycling of Express Packages," Sustainability, MDPI, vol. 12(22), pages 1-12, November.
    5. Xin Liu & Qinglong Gou & Layth Alwan & Liang Liang, 2016. "Option contracts: a solution for overloading problems in the delivery service supply chain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 187-197, February.
    6. Wei Liu & Hengjie Ouyang & Qu Liu & Sihan Cai & Chun Wang & Junjie Xie & Wei Hu & Zaoli Yang, 2022. "Image Recognition for Garbage Classification Based on Transfer Learning and Model Fusion," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-12, August.
    Full references (including those not matched with items on IDEAS)

    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. Xinyang Xu & Yang Yang, 2022. "Analysis of the Dilemma of Promoting Circular Logistics Packaging in China: A Stochastic Evolutionary Game-Based Approach," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
    2. Xu, Xiaoping & Zhang, Mian & He, Ping, 2020. "Coordination of a supply chain with online platform considering delivery time decision," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    3. Ying Wu & Haiyan Li & Qinglong Gou & Jibao Gu, 2017. "Supply chain models with corporate social responsibility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(22), pages 6732-6759, November.
    4. Wei, Jie & Chang, Meijing, 2023. "Are price matching and logistics service enhancement always effective strategies for improving profitability?," European Journal of Operational Research, Elsevier, vol. 307(1), pages 103-115.
    5. H. Neil Geismar & Yiwei Huang & Suresh D. Pillai & Chelliah Sriskandarajah & Seokjun Youn, 2020. "Location‐Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1506-1531, June.
    6. Guo, Yuchen & Yuan, Yu, 2022. "Assessing the energy resources policy agenda: Evidence from China's green express policy," Resources Policy, Elsevier, vol. 79(C).
    7. Biswas, Indranil & Avittathur, Balram, 2019. "Channel coordination using options contract under simultaneous price and inventory competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 45-60.
    8. Mohammed Imran Basheer Ahmed & Raghad B. Alotaibi & Rahaf A. Al-Qahtani & Rahaf S. Al-Qahtani & Sara S. Al-Hetela & Khawla A. Al-Matar & Noura K. Al-Saqer & Atta Rahman & Linah Saraireh & Mustafa Youl, 2023. "Deep Learning Approach to Recyclable Products Classification: Towards Sustainable Waste Management," Sustainability, MDPI, vol. 15(14), pages 1-16, July.
    9. Liu, Shuai & Hua, Guowei & Cheng, T.C.E. & Dong, Jingxin, 2021. "Unmanned vehicle distribution capacity sharing with demand surge under option contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    10. Yuyan Wang & Zhaoqing Yu & Liang Shen & Runjie Fan & Rongyun Tang, 2021. "Decisions and Coordination in E-Commerce Supply Chain under Logistics Outsourcing and Altruistic Preferences," Mathematics, MDPI, vol. 9(3), pages 1-23, January.
    11. Hu, Yihong & Qu, Shengnan & Li, Guo & Sethi, Suresh P., 2021. "Power structure and channel integration strategy for online retailers," European Journal of Operational Research, Elsevier, vol. 294(3), pages 951-964.
    12. Jia Mao & Jinyuan Cheng & Xiangyu Li & Honggang Zhao & Ciyun Lin, 2023. "Optimal Design of Reverse Logistics Recycling Network for Express Packaging Considering Carbon Emissions," Mathematics, MDPI, vol. 11(4), pages 1-32, February.
    13. Nana Wan & Li Li & Xiaozhi Wu & Jianchang Fan, 2021. "Coordination of a fresh agricultural product supply chain with option contract under cost and loss disruptions," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-15, June.
    14. Łukasz Hadaś & Roman Domański & Hubert Wojciechowski & Arkadiusz Majewski & Jacek Lewandowicz, 2024. "The Role of Packaging in Sustainable Omnichannel Returns—The Perspective of Young Consumers in Poland," Sustainability, MDPI, vol. 16(6), pages 1-18, March.

    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:15:p:11622-:d:1204135. 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.