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Cited by 1,187

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Gender and Environmental Risk Concerns: A Review and Analysis of Available Research

Davidson, Debra J., Freudenburg, Wiluam R.·1996·Environment and Behavior

Abstract

Accumulated research findings show that women tend to express higher levels of concern toward technology and the environment than do men, but that the tendency is not universal. The findings are particularly clear-cut for local facilities and/or nuclear and other technologies that are often seen as posing nisks of contamination; findings appear to be more mixed for broader patterns of environmental concern. Although the differing patterns have been reported with enough consistency to be considered relatively robust, less progress has been made to date in explaining the underlying dynamics. Five main hypotheses can be identified. One hypothesis, the expectation that increased knowledge will lead to decreased concern, has received so little support, despite repeated examination, that it can be discarded. Another, that women tend to express greater concern than do men about the health and safety implications of any given level of technological risk, has received consistent support. The remaining 3 hypotheses require additional empincal examination.

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Metadata

Authors
Davidson, D. J., & Freudenburg, W. R.
Venue
Environment and Behavior
Published
1996-05
Volume
28
Issue
3
Pages
302-339
ISSN
  • 0013-9165 (ISSN-L)
  • 1552-390X
OpenAlex
W1982157052
Cited by
1,187
References
2
FWCI
36.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Gender and Environmental Risk Concerns: A Review and Analysis of Available Research. https://app.cochat.ai/papers/10.1177/0013916596283003
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Davidson, D. J., & Freudenburg, W. R. (1996). Gender and Environmental Risk Concerns: A Review and Analysis of Available Research. Environment and Behavior. https://doi.org/10.1177/0013916596283003

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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.