Evaluating the Paris Agreement within the Context of the Three-Tenet Framework of Energy Justice

The Paris Agreement of 2016 was the culmination of decades of various efforts at mitigation, adaptation and resilience to the impacts of climate change. The Paris Agreement requires party states to take measurable steps not only to reduce greenhouse gas emissions but also to build resilience to adapt to the increasing and devastating impacts of climate change, such as global warming, coastal erosion and tidal waves. Although the Paris Agreement derives its source from the United Nations Framework Convention on Climate Change (UNFCCC), it builds on the achievement of previous meetings of the Conference of the Parties in Kyoto, Cancun and Durban. This notwithstanding, the Paris Agreement is also a far cry from them. Under the Paris Agreement, developing, least developed and small island states, and developed countries are encouraged to take steps to reduce emissions and build systems that adapt to the consequences of climate change. In this analysis, this article, which is descriptive and analytical, adopts the traditional three-tenet framework of energy justice: distributional, recognition and procedural justice to assess whether the Paris Agreement in its current state reflects these three tenets when applied to developed, developing, least developed and small island states.

Authors

Institutions

Publication Details

Journal
African Journal of International and Comparative Law
Published
2025-02-01
DOI
https://doi.org/10.3366/ajicl.2025.0516
Citations
2
Primary Topic
Global Energy Security and Policy
Type
article
Field-Weighted Citation Impact
3.58
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Paris Agreement within the Context of the Three-Tenet Framework of Energy Justice

Albert Quashigah, Yorm A. Abledu
2 citations
African Journal of International and Comparative Law
Global Energy Security and Policy
3.58
article

Evaluating the Paris Agreement within the Context of the Three-Tenet Framework of Energy Justice

Albert Quashigah, Yorm A. Abledu
article en
2 citations

Abstract

The Paris Agreement of 2016 was the culmination of decades of various efforts at mitigation, adaptation and resilience to the impacts of climate change. The Paris Agreement requires party states to take measurable steps not only to reduce greenhouse gas emissions but also to build resilience to adapt to the increasing and devastating impacts of climate change, such as global warming, coastal erosion and tidal waves. Although the Paris Agreement derives its source from the United Nations Framework Convention on Climate Change (UNFCCC), it builds on the achievement of previous meetings of the Conference of the Parties in Kyoto, Cancun and Durban. This notwithstanding, the Paris Agreement is also a far cry from them. Under the Paris Agreement, developing, least developed and small island states, and developed countries are encouraged to take steps to reduce emissions and build systems that adapt to the consequences of climate change. In this analysis, this article, which is descriptive and analytical, adopts the traditional three-tenet framework of energy justice: distributional, recognition and procedural justice to assess whether the Paris Agreement in its current state reflects these three tenets when applied to developed, developing, least developed and small island states.

African Journal of International and Comparative LawVol. 33(1)
Energy International (United States) (US), University of Professional Studies (GH)
Openalex Percentile: Top 9%
Global Energy Security and Policy
3.58
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.