Literature DB >> 17904348

The potential of financial incentives to enhance householders' kerbside recycling behaviour.

P J Shaw1, S J Maynard.   

Abstract

Although the successful enhancement of householders' participation in kerbside recycling schemes is essential for household waste recycling schemes to reach their desired levels of achievement, our understanding of householders' responses to the various incentives available to waste managers is incomplete. In particular, whether and how the recycling behaviour of householders may be favourably altered through imposition of financial penalties or rewards is not fully understood. Surveys of householders' attitudes in the London Borough of Havering, served by a kerbside co-mingled survival bag recycling scheme, showed they might be better encouraged to recycle more through improvements to structural and promotional aspects of the recycling scheme than through imposition of financial incentives. If financial incentives were to be imposed to enhance kerbside recycling, householders preferred: (1) rewards to penalties, and (2) community-based rewards and local taxation rebates to other or individual rewards. Given the attitudes of householders and the resources that would be needed to monitor their recycling behaviour as a basis for delivering financial incentives, it is suggested that the priority for enhancing recycling should be to make appropriate improvements in the infrastructure and support of the kerbside scheme and service.

Entities:  

Mesh:

Year:  2007        PMID: 17904348     DOI: 10.1016/j.wasman.2007.08.008

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Residents' preferences for household kitchen waste source separation services in Beijing: a choice experiment approach.

Authors:  Yalin Yuan; Mitsuyasu Yabe
Journal:  Int J Environ Res Public Health       Date:  2014-12-23       Impact factor: 3.390

2.  Identifying the influencing factors and constructing incentive pattern of residents' waste classification behavior using PCA-logistic regression.

Authors:  Ruijing Zheng; Mengqi Qiu; Yaping Wang; Deyang Zhang; Zeping Wang; Yu Cheng
Journal:  Environ Sci Pollut Res Int       Date:  2022-10-03       Impact factor: 5.190

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.