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Cited by 422

The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.

Nonprice incentives and energy conservation

Open access
Asensio, Omar I., Delmas, Magali A.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: We investigate the effectiveness of nonprice incentives to motivate conservation behavior. We test whether tailored information about environmental and health damages produces behavior change in the residential electricity sector. In a randomized controlled trial with real-time appliance-level energy metering over 8 mo, we find that environment and health-based information strategies outperform monetary savings information to drive energy conservation. Environment and health-based messages, which communicate the environmental and public health externalities of electricity production—such as pounds of pollutants, childhood asthma, and cancer—motivated 8% energy savings versus control. This strategy was particularly effective on families with children, who achieved 19% energy savings. However, we do not study the persistence of these behavioral changes after the conclusion of the study.

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Crossref · 10.1073/pnas.1401880112

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Metadata

Authors
Asensio, O. I., & Delmas, M. A.
Venue
Proceedings of the National Academy of Sciences
Published
2015-01-12
Volume
112
Issue
6
Pages
E510-5
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2097822710
Cited by
422
References
66
FWCI
109.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Nonprice incentives and energy conservation. https://app.cochat.ai/papers/10.1073/pnas.1401880112
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Asensio, O. I., & Delmas, M. A. (2015). Nonprice incentives and energy conservation. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1401880112

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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.