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Environmental Concern in China

A Multilevel Analysis

Bibliographic Data

ID2185641
AuthorsFeng Hao (0000-0002-6895-5570), Lijun Song (0000-0003-3162-2649, Vanderbilt University)
Year2020
Volume52
Issue1
Pages1-26
Publication date2020-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueChinese Sociological Review (JOURNAL)
Journal identifiersISSN: 2162-0555 • E-ISSN: 2162-0563
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/21620555.2019.1654367
OpenAlexW2971746008
LanguageEN
Citations received9
References cited47

Existing cross-national studies have identified that country-level economic and environmental factors can affect environmental concern at the individual-level. However, we know little in regard to how these contextual factors and their interaction with individual-level factors shape environmental concern within countries. Using China as an example, we examine three hypotheses: the affluence hypothesis, the degradation hypothesis, and the need contingency hypothesis. We measure environmental concern in three dimensions using twelve indicators. The latent mean comparison and multilevel structural equation modeling results show that provincial economic development and environmental degradation as well as their interactions with individual social-economic status have significant impacts on one’s environmental concern. Such impacts vary by the dimension of environmental concern. People from provinces with better economic conditions generally have higher environmental concern, especially for the perceived dangerousness of pollution and environmental behavior dimensions. The degradation hypothesis receives mixed support that depends on the measure of environmental degradation. Theoretical and methodological contributions as well as policy implications are discussed

China · Contingency · Dimension (graph theory · Economics · Environmental degradation · Environmental pollution · Environmental protection · Environmental resource management · Geography · Multilevel model · Statistics · Structural equation modeling · Environmental Education and Sustainability · Environmental Sustainability in Business · Psychology · Sustainable Building Design and Assessment · Ecology

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Unique citing works9
Citations per year1,5
Citation span2020 - 2025 (6)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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