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Cited by 326

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

Setting energy justice apart from the crowd: Lessons from environmental and climate justice

Open access
Jenkins, Kirsten·2018·Energy Research & Social Science

Abstract

The continuation and exacerbation of many environmental failures illustrate that environmental and climate justice’s influence on decision-making is not being systematically effective, giving rise to a renewed emphasis on finding new, more focused, justice models. This includes the energy justice concept, which has received ready and growing success. Yet for energy justice, a key question keeps arising: what does it add that environmental and climate justice cannot? To answer this question this perspective outlines the origins, successes and failures of the environmental and climate justice concepts, with a view to both distinguishing the energy justice field, and providing cautionary tales for it. It then outlines three points of departure, which it argues increases the opportunity of success for the energy justice concept: (1) “bounding out”, (2) non-anti-establishment pasts and (3) methodological strength. This paper exists to stimulate debate.

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Metadata

Authors
Jenkins, K.
Venue
Energy Research & Social Science
Publisher
Elsevier BV
Published
2018-05
Volume
39
Pages
117-121
ISSN
2214-6296 (ISSN-L)
OpenAlex
W2768206687
Cited by
326
References
42
FWCI
45.43
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Setting energy justice apart from the crowd: Lessons from environmental and climate justice. https://app.cochat.ai/papers/10.1016/j.erss.2017.11.015
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Jenkins, K. (2018). Setting energy justice apart from the crowd: Lessons from environmental and climate justice. Energy Research & Social Science. https://doi.org/10.1016/j.erss.2017.11.015

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.