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Cited by 225

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Why are Energy Policies Acceptable and Effective?

Open access
Steg, Linda, Dreijerink, Lieke, Abrahamse, Wokje·2006·Environment and Behavior

Abstract

This article examines which policy features affect the perceived effectiveness and acceptability of pricing policies aimed to reduce CO2 emissions. A survey study was conducted among 112 Dutch respondents in 2003. As hypothesized, incentives and policies targeting efficiency behavior were perceived to be more effective and acceptable than were disincentives and policies targeting curtailment behavior. Policies targeting direct energy use were evaluated as more effective than those targeting indirect energy use. No significant differences were found between the acceptability of policies targeting direct and indirect energy savings. As expected, push measures were perceived to be more effective and acceptable when revenues are allocated within the energy domain rather than to general funds. Pull measures were evaluated as more effective when they are funded from within the energy domain rather than from general public funds. The way pull measures are funded did not significantly affect their acceptability.

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Metadata

Authors
Steg, L., Dreijerink, L., & Abrahamse, W.
Venue
Environment and Behavior
Published
2006-01
Volume
38
Issue
1
Pages
92-111
ISSN
  • 0013-9165 (ISSN-L)
  • 1552-390X
OpenAlex
W2103602343
Cited by
225
References
3
FWCI
3.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Why are Energy Policies Acceptable and Effective? https://app.cochat.ai/papers/10.1177/0013916505278519
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Steg, L., Dreijerink, L., & Abrahamse, W. (2006). Why are Energy Policies Acceptable and Effective? Environment and Behavior. https://doi.org/10.1177/0013916505278519

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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.