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Influential Factors Affecting Recycling Behavior toward Cardboard Boxes in the Logistics Sector: An Empirical Analysis from China

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  • Pengfei Li

    (College of Economics and Management, Xi’an University of Posts & Telecommunications (XUPT), Xi’an 710061, China)

  • Yutao Ru

    (School of Modern Post, Xi’an University of Posts & Telecommunications (XUPT), Xi’an 710061, China)

  • Jianhong Wu

    (School of Modern Post, Xi’an University of Posts & Telecommunications (XUPT), Xi’an 710061, China)

Abstract

With the escalating issues of resource waste and environmental pollution, the effective recycling of cardboard boxes within the logistics sector has emerged as a crucial factor in advancing sustainable development. This study employs the extended theory of planned behavior (ETPB) to devise a questionnaire and gather data from 700 respondents in China, aiming to analyze the influential factors that impact consumers’ engagement in recycling mechanisms provided by express delivery companies. Utilizing a principal component analysis, five co-factors that influence consumers’ willingness to recycle are identified. The findings of a multinomial logistic regression reveal a positive correlation between these five co-factors and recycling behavior, with attitude exhibiting the greatest significant influence (5.076 times in model 1 and 2.375 times in model 2) on recycling behavior. These results will serve as a scientific foundation for express delivery companies and governmental entities to adapt and optimize existing environmental protection policies, thus fostering sustainable development.

Suggested Citation

  • Pengfei Li & Yutao Ru & Jianhong Wu, 2023. "Influential Factors Affecting Recycling Behavior toward Cardboard Boxes in the Logistics Sector: An Empirical Analysis from China," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:13343-:d:1233920
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    References listed on IDEAS

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    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Feng Dong & Yifei Hua, 2018. "Are Chinese Residents Willing to Recycle Express Packaging Waste? Evidence from a Bayesian Regularized Neural Network Model," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    4. Mizanur Rahman, S.M. & Mayer, Audrey L., 2015. "How social ties influence metal resource flows in the Bangladesh ship recycling industry," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 254-264.
    5. Wang, Xuequn & Lin, Xiaolin & Spencer, Marilyn K., 2019. "Exploring the effects of extrinsic motivation on consumer behaviors in social commerce: Revealing consumers’ perceptions of social commerce benefits," International Journal of Information Management, Elsevier, vol. 45(C), pages 163-175.
    6. J. Scott Long & Jeremy Freese, 2006. "Regression Models for Categorical Dependent Variables using Stata, 2nd Edition," Stata Press books, StataCorp LP, edition 2, number long2, March.
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