The social representations of climate change: comparison of two territories exposed to the coastal flooding risk Article Swipe
Constance Mambet Doué
,
Óscar Navarro
,
Diego Restrepo
,
Nathalie Krien
,
Delphine Rommel
,
Colin Lemèe
,
Marie Coquet
,
Denis Mercier
,
Ghozlane Fleury‐Bahi
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1108/ijccsm-11-2019-0064
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1108/ijccsm-11-2019-0064
Purpose Based on social representation theory, this study aims to evaluate and analyze the similarities and differences between social representations of climate change held by people living in two territories, which have in common that they are exposed to coastal risks but have different socio-cultural contexts: on the one hand, Cartagena (Colombia) and on the other, Guadeloupe (French overseas department, France). Design/methodology/approach A double approach, both quantitative and qualitative, of social representation theory was adopted. The data collection was undertaken in two phases. First, the content and organization of social representation of climate change (SRCC) was examined with a quantitative study of 946 participants for both countries, followed by a qualitative study of 63 participants for both countries also. Findings The study finds unicity in the SRCC for the quantitative study. In contrast, the qualitative study highlights differences at the level of the institutional anchoring of the climate change phenomenon in these two different socioeconomic and political contexts. Practical implications These results are relevant for a reflection in terms of public policies for the prevention and management of collective natural risks, as well as for the promotion of ecological behavior adapted to political and ideological contexts. Originality/value The use of a multi-methodological approach (quantitative and qualitative) in the same research is valuable to confirm the importance of an in-depth study of the social representations of climate change because of the complexity of the phenomenon.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1108/ijccsm-11-2019-0064
- https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-11-2019-0064/full/pdf?title=the-social-representations-of-climate-change-comparison-of-two-territories-exposed-to-the-coastal-flooding-risk
- OA Status
- gold
- Cited By
- 13
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3023259811
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3023259811Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1108/ijccsm-11-2019-0064Digital Object Identifier
- Title
-
The social representations of climate change: comparison of two territories exposed to the coastal flooding riskWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-04-18Full publication date if available
- Authors
-
Constance Mambet Doué, Óscar Navarro, Diego Restrepo, Nathalie Krien, Delphine Rommel, Colin Lemèe, Marie Coquet, Denis Mercier, Ghozlane Fleury‐BahiList of authors in order
- Landing page
-
https://doi.org/10.1108/ijccsm-11-2019-0064Publisher landing page
- PDF URL
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https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-11-2019-0064/full/pdf?title=the-social-representations-of-climate-change-comparison-of-two-territories-exposed-to-the-coastal-flooding-riskDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.emerald.com/insight/content/doi/10.1108/IJCCSM-11-2019-0064/full/pdf?title=the-social-representations-of-climate-change-comparison-of-two-territories-exposed-to-the-coastal-flooding-riskDirect OA link when available
- Concepts
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Originality, Social representation, Phenomenon, Politics, Climate change, Qualitative research, Ideology, Geography, Sociology, Qualitative property, Political science, Social science, Ecology, Epistemology, Computer science, Philosophy, Law, Machine learning, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 3, 2022: 6, 2021: 1, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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