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Cited by 161

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

Environmental Action in the Home: Investigating the ‘Value-Action’ Gap

Barr, Stewart·2006·Geography

Abstract

Sustainable development relies on fundamental shifts in the attitudes held by individual citizens towards the environment, and their use of natural resources. Accordingly, this article examines the work that has been undertaken by a range of researchers from a variety of disciplines examining the links between environmental attitudes and behaviours. The development of a conceptual framework for organising the various barriers and motivations for individual environmental action is outlined. A case example of waste minimisation behaviour in Devon is used to demonstrate the effectiveness of the approach adopted. The results indicate that fundamentally different factors predict a willingness to minimise waste, as opposed to actual behaviour. This is related to the growing social acceptance of environmental action among members of the public, which is not necessarily reflected in behaviour. The article positions this research within the wider context of existing research in geography on sustainable lifestyles, which has been focused primarily on the use of culturally-derived theories and qualitative methodologies.

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Metadata

Authors
Barr, S.
Venue
Geography
Published
2006-03-01
Volume
91
Issue
1
Pages
43-54
ISSN
  • 0016-7487 (ISSN-L)
  • 2043-6564
OpenAlex
W85219810
Cited by
161
References
4
FWCI
14.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Environmental Action in the Home: Investigating the ‘Value-Action’ Gap. https://app.cochat.ai/papers/10.1080/00167487.2006.12094149
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Barr, S. (2006). Environmental Action in the Home: Investigating the ‘Value-Action’ Gap. Geography. https://doi.org/10.1080/00167487.2006.12094149

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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.