Analysing the environmental websites of the world’s greatest polluters: a multimodal ecolinguistic approach
José-Santiago Fernández-Vázquez
Economic Research-Ekonomska Istraživanja, 2021, vol. 34, issue 1, 2692-2711
Abstract:
This paper develops a visual analysis of the environmental webpages of 20 global companies, considered to be the world’s greatest polluters in terms of their carbon emissions into the atmosphere. Our aim is to determine how these companies build a public reputation as environmentally concerned agents in relation to climate change. The analysis is based on the theoretical and methodological propositions put forward by Critical Discourse Analysis, ecolinguistics and multimodal analysis. More specifically, we take into account Kress and van Leeuwen’s grammar of visual design, which enables us to describe and classify the images on webpages and to determine how these images are used to enforce certain narratives and ideologies. The paper also develops a comparative study of promotional strategies and the level of development and communicative efficiency of the sustainability webpages of Western and non-Western companies, on the one hand, and of global companies and environmental NGOs on the other.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/1331677X.2020.1836993 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:reroxx:v:34:y:2021:i:1:p:2692-2711
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rero20
DOI: 10.1080/1331677X.2020.1836993
Access Statistics for this article
Economic Research-Ekonomska Istraživanja is currently edited by Marinko Skare
More articles in Economic Research-Ekonomska Istraživanja from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().