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

Author

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
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    1. Ying Zhan & Yue Sun & Junfei Xu, 2024. "Impact of Reward Mechanisms on Consumers’ Willingness to Use Intelligent Express Packaging Recycling Cabinets: A Case Study in China," Sustainability, MDPI, vol. 16(10), pages 1-20, May.

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