A replication and Extension of the socio-psychological model of climate Change risk perceptions

Brügger, Adrian; Tobias, R.; Monge, F. (2016). A replication and Extension of the socio-psychological model of climate Change risk perceptions (Unpublished). In: Society for Risk Analysis. San Diego. 11.-15.12.2016.

Van der Linden (2015) recently introduced a model that combines cognitive, experiential, and socio-cultural factors as predictors of climate change risk perceptions. Our study built on this model and had two major goals. The first goal was to test the socio-psychological model of climate change risk perceptions in a socio-cultural context that is different from the context where the model was originally developed and tested (United Kingdom). More specifically, we tested the model with a large sample of the general population of Peru. The second goal was to extend van der Linden’s model by including additional concepts such as climate change scepticism. Data were collected by means of tablet-assisted structured face-to-face interviews with adults from the general public in the Cuzco region (Peru). Participants were selected by a random route procedure and interviews lasted between 50 and 90 minutes. Hierarchical regression analyses were used to test the original and the extended model. We report findings on how well the model works in Peru and how well it can explain variance in people’s willingness to respond to climate change risks. We then discuss the applicability and generalizability of the socio-psychological model of climate change risk perception to a Latin American country. Directions for future research and implications for theory are also discussed.

Item Type:

Conference or Workshop Item (Speech)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Department of Business Management > Institute of Innovation Management > Consumer Behavior

UniBE Contributor:

Gadient-Brügger, Adrian

Subjects:

600 Technology > 650 Management & public relations

Language:

English

Submitter:

Daniela Lüdi

Date Deposited:

23 Mar 2017 11:04

Last Modified:

05 Dec 2022 15:03

URI:

https://boris.unibe.ch/id/eprint/96251

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