Tobin, P., Schmidt, N., Tosun, J. et al. (1 more author) (2018) Mapping states’ Paris climate pledges: Analysing targets and groups at COP 21. Global Environmental Change, 48. pp. 11-21. ISSN 0959-3780
Abstract
Prior to the 2015 Paris Conference of the Parties (COP), every state was requested to submit a pledge of their own design. To date, there has been a lack of large-n studies that provide a broad picture of these pledges. We employ Discourse Network Analysis to examine critically the climate pledges of all 162 actors at the Paris COP. Our research offers four main contributions. First, we provide data regarding the mitigation and adaptation components of every national pledge. Second, we identify six types of mitigation targets, and visually cluster every state according to these formats. Third, we argue that the pledges of the Umbrella Group of non-EU developed states, and of the group of oil exporting countries, showed greater internal similarity than the group comprising Brazil, China, India and South Africa. Finally, we critique the method as a means of analysing the new global climate governance context and argue that the method offers an innovative and unique means of understanding this complex policy landscape, when applied in a specific and focused manner.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Elsevier. This is an author produced version of a paper subsequently published in Global Environmental Change. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Climate change; Negotiating groups; UNFCCC; COP 21; Discourse Network Analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 04 Jan 2018 10:31 |
Last Modified: | 04 Apr 2019 08:17 |
Published Version: | https://doi.org/10.1016/j.gloenvcha.2017.11.002 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.gloenvcha.2017.11.002 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:125718 |
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