Assessing the Operationalization of Cultural Theory through Surveys Investigating the Social Aspects of Climate Change Policy Making

Cambardella, C., Fath, B. ORCID: https://orcid.org/0000-0001-9440-6842, Werdenigg, A., Gulas, C., & Katzmair, H. (2020). Assessing the Operationalization of Cultural Theory through Surveys Investigating the Social Aspects of Climate Change Policy Making. Weather, Climate, and Society 12 (4) 651-665. 10.1175/WCAS-D-19-0103.1.

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Abstract

Cultural theory (CT) provides a framework for understanding how social dimensions shape cultural bias and social relations of individuals, including values, view of the natural world, policy preferences, and risk perceptions. The five resulting cultural solidarities are each associated with a “myth of nature”—a concept of nature that aligns with the worldview of each solidarity. When applied to the problem of climate protection policy making, the relationships and beliefs outlined by CT can shed light on how members of the different cultural solidarities perceive their relationship to climate change and associated risk. This can be used to deduce what climate change management policies may be preferred or opposed by each group. The aim of this paper is to provide a review of how CT has been used in surveys of the social aspects of climate change policy making, to assess the construct validity of these studies, and to identify ways for climate change protection policies to leverage the views of each of the cultural solidarities to develop clumsy solutions: policies that incorporate strengths from each of the cultural solidarities’ perspectives. Surveys that include measures of at least fatalism, hierarchism, individualism, and egalitarianism and their associated myths of nature as well as measures of climate change risk perceptions and policy preferences have the highest translation and predictive validity. These studies will be useful in helping environmental managers find clumsy solutions and develop resilient policy according to C.S. Holling’s adaptive cycle.

Item Type: Article
Uncontrolled Keywords: Social Science; Adaptation; Communications/decision making; Planning; Policy; Risk assessment
Research Programs: Advanced Systems Analysis (ASA)
Depositing User: Michaela Rossini
Date Deposited: 21 Dec 2023 09:49
Last Modified: 21 Dec 2023 09:49
URI: https://pure.iiasa.ac.at/19371

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