PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 22, 2026Alternative Law Journal0 citationsOpen Access

The Fund for Responding to Loss and Damage: Governance challenges, tensions and opportunities

View Full Paper
NANina Araneta-Alana

Key Points

  • This article examines the governance challenges and opportunities of the Fund for Responding to Loss and Damage.
  • Analyzes the governance structure of the FRLD
  • Explores political tensions and regional implications
  • Considers the role of the World Bank in fund administration
  • Governance choices will significantly affect the fund's legitimacy and effectiveness
  • Concerns exist over autonomy and access for vulnerable states
  • There is potential to enhance recognition of non-economic losses and regional agency.

Abstract

The Fund for Responding to Loss and Damage (‘FRLD’) marks a milestone as the first global mechanism for addressing climate impacts beyond mitigation and adaptation. This article analyses its evolving governance, political paradoxes and regional significance. While World Bank administration ensures early functionality, it also raises concerns over autonomy and access. The FRLD reflects demands for justice from vulnerable States but avoids liability or compensation language. To be located in the Philippines and shaped by Pacific leadership, it opens space to advance recognition of non-economic losses, pilot direct access and strengthen regional agency. The article argues that the FRLD’s legitimacy and future trajectory will hinge on governance choices that reconcile financial integrity with responsiveness to affected communities. The direction it takes in its formative years will determine whether it becomes another technocratic instrument of limited reach or a mechanism capable of advancing justice-oriented climate finance.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Nina Araneta-Alana (2026) studied this question.

synapsesocial.com/papers/69bf3955c7b3c90b18b43df3https://doi.org/10.1177/1037969x261434611
Ask AI
Helpful
Bookmark
Share
View Full Paper