Analysis of Factors Influencing EV Power Battery Recycling Channel Selection: A Study Based on TPB and Multi Class Logistic Regression

DOI: https://doi.org/10.62517/jiem.202403213

Author(s)

Juan Huang*, Yuanyang Jiang

Affiliation(s)

School of Economics and Management, Sichuan Tourism University, Chengdu , Sichuan, China *Corresponding Author.

Abstract

New energy electric vehicle (EV) have become the mainstream worldwide, and the power battery recycling industry is facing new opportunities and challenges. This article compares and analyzes the advantages and disadvantages of existing power battery recycling channels. Through a questionnaire survey, a multi class logistic regression model is used to study the impact and correlation of users' gender, age, occupational category, and education level on their choice of recycling channels. The results indicate that there is a positive correlation between education level and understanding of power battery channels. The higher the education level, the more concerned the group is about environmental protection compared to convenience. Finally, based on the TPB, the impact of seven factors on users' choice of recycling channels and corresponding measures were summarized to help the enterprises understand users' inner thoughts, facilitate the establishment of a more comprehensive recycling mechanism, and improve the revenue of power battery recycling.

Keywords

Power Battery; TPB; Multi Class Logistic Regression; Recycling Channel

References

[1] Jian Qiu. Sustainable Design of the Electric Vehicle Power Battery Supply Chain with Location-Allocation Analysis. Dalian University of Technology, 2018. [2] Juan Huang, Jingjing Wen, Feiyan He. Research on Evaluation of Power Battery Recycling Efficiency of New Energy Vehicle Based on DEA. Industrial Engineering and Innovation Management, 2023, 6(7):71-77. [3] Yanyan Tang. Study on the Modeling and Policy of Recycling and Repurposing Electric Vehicle Batteries in China. China University of Petroleum, 2021. [4] Nengmin Wang, Yanfei Song, Qidong He, et al. Competitive Dual-Collecting Regarding Consumer Behavior and Coordination in Closed-Loop Supply Chain. Computers & Industrial Engineering, 2020, 144, 106481. [5] Hua Zhong, Jingwen Sun, Jing Nie. Research on Influence Factors of Consumer Recycling Channel Choice Based on “Internet Plus”. Environmental Science and Management, 2023, 48(08):148-153. [6] Chang Wang, Xiaobing Lv, Qiao Sun. A Study on the Influencing Factors of Residents’ Participation “Online Collection”. Chinese Journal of Management, 2017, 14(12):1847-1854. [7] Jie Wu. Study on the Optimization of Power Battery Recycling Model of Company B Based on Reverse Supply Chain. Liaoning Technical University, 2022. [8] Ieck Ajzen. Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior. Journal of Applied Social Psychology, 2002, 32(4):665-668. [9] Christopher J. Armitage, Mark Conner. Efficacy of the Theory of Planned Behavior: A Meta-analytic Review. British Journal of Social Psychology, 2001, 40(4):471-499. [10] Ieck Ajzen. The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 1991, 50(2):179-211.