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Cited by 196

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Attitudes towards Recycling Household Waste in Exeter, Devon: Quantitative and qualitative approaches

Barr, Stewart, Ford, Nicholas J., Gilg, Andrew W.·2003·Local Environment

Abstract

Recycling of household waste has become a very problematic area of British local government policy-making in which central government has set ambitious targets. Although local government can provide facilities for recycling, the attitudes of residents will be crucial if these targets are to be met. Accordingly, this paper outlines a framework for studying how households decide to recycle or not. The framework has been tested in Exeter in south-west England where a major survey found that respondents were much more likely to recycle if they had access to a structured kerbside recycling scheme. Many other factors influenced their attitudes and behaviours towards recycling, including their acceptance of the activity and their perception of the benefits and problems of recycling as a whole. The research uses the quantitative and qualitative data from the survey to demonstrate how individual attitudes can impact on recycling and how such research can yield useful data to enable policy-makers to adapt measures accordingly.

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Metadata

Authors
Barr, S., Ford, N. J., & Gilg, A. W.
Venue
Local Environment
Published
2003-08
Volume
8
Issue
4
Pages
407-421
ISSN
  • 1354-9839 (ISSN-L)
  • 1469-6711
OpenAlex
W2071298255
Cited by
196
References
4
FWCI
11.92
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Attitudes towards Recycling Household Waste in Exeter, Devon: Quantitative and qualitative approaches. https://app.cochat.ai/papers/10.1080/13549830306667
The paper
Barr, S., Ford, N. J., & Gilg, A. W. (2003). Attitudes towards Recycling Household Waste in Exeter, Devon: Quantitative and qualitative approaches. Local Environment. https://doi.org/10.1080/13549830306667

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.