PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 10, 20260 citationsOpen Access

A Comparative Analysis of Peace Agreement Implementation: The 2015 Agreement on the Resolution of the Conflict in South Sudan (ARCSS) and the 2018 Revitalised Agreement on the Resolution of the Conflict in South Sudan (R-ARCSS)

View Full Paper
A(Abraham Kuol Nyuon (Ph.D)Institute for Peace Research and Security Policy

Key Points

  • The study aims to compare the implementation of the ARCSS and R-ARCSS peace agreements in South Sudan.
  • Conducted a comparative analysis of ARCSS and R-ARCSS
  • Examined structural, political, and institutional factors
  • Identified obstacles to sustainable peace
  • Highlighted elite intransigence as a significant barrier
  • Noted security sector reform logjams hindered progress
  • Revealed marginalisation of civil society impacts peace efforts
  • Found R-ARCSS faced similar issues as ARCSS despite lessons learned

Abstract

This article conducts a comparative study of the implementation of South Sudan's two principal contemporary peace accords. It examines the structural, political, and institutional factors that have shaped their divergent trajectories. Through a focused comparison of the ARCSS and the R-ARCSS, the analysis identifies persistent obstacles to sustainable peace, including elite intransigence, security sector reform logjams, and the marginalisation of civil society. The study argues that while the R-ARCSS incorporated lessons from the ARCSS's collapse, its implementation has been undermined by similar pathologies, revealing a cyclical pattern of elite bargaining that privileges power-sharing over transformative change. The findings contribute to broader debates on hybrid peace governance and the challenges of post-conflict state-building in Africa.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Abraham Kuol Nyuon (Ph.D) (2025) studied this question.

synapsesocial.com/papers/69d895a86c1944d70ce06beehttps://doi.org/10.5281/zenodo.19475772
Ask AI
Helpful
Bookmark
Share
View Full Paper