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Battery pack recycling: Behaviour change interventions derived from an integrative theory of planned behaviour study

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  • Lizin, Sebastien
  • Van Dael, Miet
  • Van Passel, Steven

Abstract

Belgium has passed the 45% cap, mandated by the European Union, by achieving a collection rate of over 50% in 2012. Having such a collection rate, Belgium is amongst the frontrunners in battery recycling in Europe. However, despite the efforts, about 40% of used batteries are still not properly collected. Particularly troublesome according to the national producer responsibility organization are the battery packs. In this paper we therefore investigate the drivers and barriers to battery pack drop-off intention perceived by Belgian households using an integrative model based on the Theory of Planned Behaviour. An R2 of 0.64 was found, which according to the literature on partial least squares structural equation modelling signals a moderate yet very close to substantial coefficient of determination. We find that on average perceived behavioural control and moral norms have the largest influence on the intention to drop-off used battery packs as quickly as possible. Based on the insights gained, recommendations are made for both behaviour change interventions and future research.

Suggested Citation

  • Lizin, Sebastien & Van Dael, Miet & Van Passel, Steven, 2017. "Battery pack recycling: Behaviour change interventions derived from an integrative theory of planned behaviour study," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 66-82.
    • Handle: RePEc:eee:recore:v:122:y:2017:i:c:p:66-82
    DOI: 10.1016/j.resconrec.2017.02.003
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    Cited by:

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    2. Song, Jiawen & Cai, Lanhui & Yuen, Kum Fai & Wang, Xueqin, 2023. "Exploring consumers’ usage intention of reusable express packaging: An extended norm activation model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Zhang, Weishi & Xu, Ying & Wang, Can & Streets, David G., 2022. "Assessment of the driving factors of CO2 mitigation costs of household biogas systems in China: A LMDI decomposition with cost analysis model," Renewable Energy, Elsevier, vol. 181(C), pages 978-989.
    4. Xingjun Ru & Min Chen & Shanyong Wang & Zhenling Chen, 2022. "Does environmental concern fail to predict energy-saving behavior? A study on the office energy-saving behavior of employees of Chinese Internet companies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(11), pages 12691-12711, November.
    5. Geng, Jichao & Long, Ruyin & Chen, Hong & Li, Wenbo, 2017. "Exploring the motivation-behavior gap in urban residents’ green travel behavior: A theoretical and empirical study," Resources, Conservation & Recycling, Elsevier, vol. 125(C), pages 282-292.

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