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The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong

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  • Wan, Calvin
  • Shen, Geoffrey Qiping
  • Yu, Ann

Abstract

Hong Kong is a compact and ‘land-hungry’ city where recycling has become an important measure for treating waste and reducing the demand on the limited landfills. The objectives of this paper are to extend the model of recycling attitude and behaviour to explain the relationship between perceived policy effectiveness and recycling behaviour. Previous studies on recycling attitude and behaviour had widely adopted the theory of planned behaviour (TPB) and the norm activation model (NAM), and drawn policy implications from them. Nevertheless, little research has been conducted to investigate the role of perceived effectiveness of policy measures in predicting recycling behaviour. To address this, a model that integrates the TPB and NAM was proposed in this study, and a street survey was conducted to investigate the case. The results illustrate that recycling intention is influenced by subjective norms, perceived behavioural control, moral norms, and awareness of consequences, as well as a newly proposed construct, namely perceived policy effectiveness. The study proved self-reported recycling behaviour (direct behaviour) and support for policy measures (indirect behaviour) are influenced by recycling intention. All in all the Government should provide more recycling bins, guidelines on recycling activities, and should accent what it has been doing to facilitate and encourage recycling.

Suggested Citation

  • Wan, Calvin & Shen, Geoffrey Qiping & Yu, Ann, 2014. "The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 141-151.
  • Handle: RePEc:eee:recore:v:83:y:2014:i:c:p:141-151
    DOI: 10.1016/j.resconrec.2013.12.009
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    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Chung, Shan Shan, 2010. "Projecting municipal solid waste: The case of Hong Kong SAR," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 759-768.
    4. Kelly, T.C. & Mason, I.G. & Leiss, M.W. & Ganesh, S., 2006. "University community responses to on-campus resource recycling," Resources, Conservation & Recycling, Elsevier, vol. 47(1), pages 42-55.
    5. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    6. Tenenhaus, Michel & Vinzi, Vincenzo Esposito & Chatelin, Yves-Marie & Lauro, Carlo, 2005. "PLS path modeling," Computational Statistics & Data Analysis, Elsevier, vol. 48(1), pages 159-205, January.
    7. Jakobsson, C. & Fujii, S. & Gärling, T., 2000. "Determinants of private car users' acceptance of road pricing," Transport Policy, Elsevier, vol. 7(2), pages 153-158, April.
    8. Richard F. Elmore, 1987. "Instruments And Strategy In Public Policy," Review of Policy Research, Policy Studies Organization, vol. 7(1), pages 174-186, September.
    9. Naresh K. Malhotra & Sung S. Kim & Ashutosh Patil, 2006. "Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research," Management Science, INFORMS, vol. 52(12), pages 1865-1883, December.
    10. Hansmann, Ralf & Bernasconi, Petra & Smieszek, Timo & Loukopoulos, Peter & Scholz, Roland W., 2006. "Justifications and self-organization as determinants of recycling behavior: The case of used batteries," Resources, Conservation & Recycling, Elsevier, vol. 47(2), pages 133-159.
    11. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
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    Cited by:

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    13. Fielding, Kelly S. & van Kasteren, Yasmin & Louis, Winnifred & McKenna, Bernard & Russell, Sally & Spinks, Anneliese, 2016. "Using individual householder survey responses to predict household environmental outcomes: The cases of recycling and water conservation," Resources, Conservation & Recycling, Elsevier, vol. 106(C), pages 90-97.
    14. Arbués, Fernando & Villanúa, Inmaculada, 2016. "Determinants of behavior toward selective collection of batteries in Spain. A bivariate probit model," Resources, Conservation & Recycling, Elsevier, vol. 106(C), pages 1-8.
    15. Qiao Liu & Qianhui Xu & Xin Shen & Bowei Chen & Sonia Sadeghian Esfahani, 2022. "The Mechanism of Household Waste Sorting Behaviour—A Study of Jiaxing, China," IJERPH, MDPI, vol. 19(4), pages 1-12, February.
    16. Huilin Wang & Jiaxuan Li & Aweewan Mangmeechai & Jiafu Su, 2021. "Linking Perceived Policy Effectiveness and Proenvironmental Behavior: The Influence of Attitude, Implementation Intention, and Knowledge," IJERPH, MDPI, vol. 18(6), pages 1-17, March.
    17. Anil Balikci & Yuri Borgianni & Lorenzo Maccioni & Chiara Nezzi, 2021. "A Framework of Unsustainable Behaviors to Support Product Eco-Design," Sustainability, MDPI, vol. 13(20), pages 1-19, October.
    18. Moh, YiingChiee & -->Abd Manaf, Latifah, 2017. "Solid waste management transformation and future challenges of source separation and recycling practice in Malaysia," Resources, Conservation & Recycling, Elsevier, vol. 116(C), pages 1-14.
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