Financing resilience, governing vulnerability: Adaptation finance as a form of political infrastructure
Climate adaptation finance is commonly framed as a problem of insufficiency: too little money, too slowly deployed, and directed towards too many needs. This Essay argues that such framings obscure a more consequential question: who governs adaptation through finance. Rather than treating finance as a neutral flow of capital, it conceptualises adaptation finance as a form of political infrastructure , defined as the institutional arrangements, intermediaries, metrics, and decision rules that structure authority, prioritise certain vulnerabilities, and shape whose futures are rendered investable. Drawing on practices such as the Green Climate Fund’s readiness processes, creditworthiness-based urban resilience programs, and standardised risk metrics in sovereign and project appraisal, the Essay shows how adaptation priorities are increasingly mediated through financial criteria. These shifts are quietly reconfiguring power across scales. Financial rationalities originating in the Global North increasingly define what counts as credible adaptation in the Global South, often privileging risk reduction for capital over resilience for vulnerable communities. Shifting attention from funding gaps to governance infrastructures advances a distinct analytical intervention: adaptation finance is not simply underprovided, but structured by particular institutional logics. Recognising finance as governance reveals adaptation as a contested site of political authority, accountability, and justice, with implications for the legitimacy and equity of climate action.
Authors
- Laurence L. Delina (ORCID: https://orcid.org/0000-0001-8637-4609)
Institutions
- Hong Kong University of Science and Technology (HK)
Publication Details
- Journal
- PLOS Climate
- Published
- 2026-10-07
- DOI
- https://doi.org/10.1371/journal.pclm.0001090
- Primary Topic
- Sustainability and Climate Change Governance
- Type
- article
- Field-Weighted Citation Impact
- 0.00