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Cited by 440

The DOI matches its Crossref record; 115 of the 115 references it cites were found in a registry or an index.

Values, Norms, and Intrinsic Motivation to Act Proenvironmentally

Open access
Steg, Linda·2016·Annual Review of Environment and Resources

Abstract

Environmental problems can be reduced if people more consistently engage in proenvironmental actions. In this article, I discuss factors that motivate or inhibit individuals to act proenvironmentally. Many people are intrinsically motivated to engage in proenvironmental actions, because protecting the environment makes them feel good about themselves. People are more likely to be intrinsically motivated to act proenvironmentally over and again when they strongly endorse biospheric values. However, people may be less likely to act on their biospheric values when these values are not supported by the context, or when competing values are activated by factors in a choice context. Next, I discuss strategies to encourage proenvironmental actions by strengthening biospheric values, or by empowering and motivating people to act on their biospheric values. Moreover, I discuss factors influencing the acceptability of environmental policies that aim to encourage proenvironmental behavior.

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Crossref · 10.1146/annurev-environ-110615-085947

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Metadata

Authors
Steg, L.
Venue
Annual Review of Environment and Resources
Published
2016-11-01
Volume
41
Issue
1
Pages
277-292
ISSN
  • 1543-5938 (ISSN-L)
  • 1545-2050
OpenAlex
W2480776138
Cited by
440
References
115
FWCI
6.25
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Values, Norms, and Intrinsic Motivation to Act Proenvironmentally. https://app.cochat.ai/papers/10.1146/annurev-environ-110615-085947
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Steg, L. (2016). Values, Norms, and Intrinsic Motivation to Act Proenvironmentally. Annual Review of Environment and Resources. https://doi.org/10.1146/annurev-environ-110615-085947

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.