Socioeconomic Development Shapes the Effectiveness and Equity of Loss and Damage Finance

The establishment of the Loss and Damage Fund at COP27 raised expectations for supporting climate vulnerable countries, yet its implementation has been hindered by several unresolved questions on contribution rules, eligibility, and evidence needed to assess its effectiveness. Addressing these issues requires an analytical framework that links social and economic development conditions with impacts of financial transfers. As an exploration, this study develops a scenario-based approach to examine how socioeconomic pathways shape both the scale and effects of Loss and Damage transfers on energy, water and agricultural systems.

We focus on Shared Socioeconomic Pathways, SSP1, SSP2 and SSP5, to quantify how differences in growth, vulnerability and sectoral structures influence the size and allocation of the Loss and Damage Fund. For simplification, climate damages are imposed on national GDP to derive allocation patterns. Using the Global Change Analysis Model (GCAM), we simulate how fund inflows affect national CO2 emissions, energy use, agricultural production and water withdrawals for both donors and recipients. Across all scenarios, we find that Loss and Damage transfers lead to measurable changes in sectoral activity, but their magnitude is small relative to the variation driven by socioeconomic development. For example, primary energy use in vulnerable recipient regions in 2050 differs by about 70.8 EJ between SSP1 and SSP5, whereas the difference between fund and no fund cases within SSP5 is roughly 7.9 EJ. Sectoral structures also diverge substantially by pathway. In 2050 fossil fuel shares in recipient regions reach 71 percent in SSP5 compared with 61 percent in SSP1, and fund transfers alone do not shift these trajectories. In some cases, fund inflows raise local energy, food and water prices, indicating potential distributional pressures that may increase inequality.

Fig.1 Research framework. E7 and E35 are donor groupings based on historical cumulative CO2 emissions, representing the top 7 (60% of global emissions) and top 35 countries (90%) respectively. G7 refers to the Group of Seven. VH refers to Very High climate-vulnerable countries, and VHH refers to Very High and High climate-vulnerable countries.

Our results show that the performance and equity of the Loss and Damage Fund depend strongly on the socioeconomic context in which transfers are deployed. Therefore, climate finance assessment requires a better consideration of social and economic development pathways and their interactions with the broader system. Our work aims to integrate social science perspectives into modeling by demonstrating how vulnerability, equity and development conditions shape modeled outcomes and influence the design and governance of climate finance mechanisms.