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Cited by 486

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

The Paris Agreement on Climate Change: Behind Closed Doors

Open access
Dimitrov, Radoslav S.·2016·Global Environmental Politics

Abstract

The Paris Agreement constitutes a political success in climate negotiations and traditional state diplomacy, and offers important implications for academic research. Based on participatory research, the article examines the political dynamics in Paris and highlights features of the process that help us understand the outcome. It describes battles on key contentious issues behind closed doors, provides a summary and evaluation of the new agreement, identifies political winners and losers, and offers theoretical explanations of the outcome. The analysis emphasizes process variables and underscores the role of persuasion, argumentation, and organizational strategy. Climate diplomacy succeeded because the international conversation during negotiations induced cognitive change. Persuasive arguments about the economic benefits of climate action altered preferences in favor of policy commitments at both national and international levels.

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Crossref · 10.1162/glep_a_00361

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Metadata

Authors
Dimitrov, R. S.
Venue
Global Environmental Politics
Published
2016-08
Volume
16
Issue
3
Pages
1-11
ISSN
  • 1526-3800 (ISSN-L)
  • 1536-0091
OpenAlex
W2472762019
Cited by
486
References
12
FWCI
65.13
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The Paris Agreement on Climate Change: Behind Closed Doors. https://app.cochat.ai/papers/10.1162/glep_a_00361
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Dimitrov, R. S. (2016). The Paris Agreement on Climate Change: Behind Closed Doors. Global Environmental Politics. https://doi.org/10.1162/glep_a_00361

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.