Abstract
This paper presents a refined country-level integrated assessment model, Framework for Uncertainty, Negotiation, and Distribution (FUND) 3.9n, that extends the regional FUND 3.9 framework by incorporating sector-specific climate impact functions and parametric uncertainty analysis for 198 individual countries. The model enables estimation of the national social cost of carbon (NSCC), capturing heterogeneity across nations from economic structure, climate sensitivity, and population exposure. Our results demonstrate that both the NSCC and the global sum estimates are highly sensitive to damage specifications and preference parameters, including the pure rate of time preference and relative risk aversion. Compared to aggregated single-sector approaches, the disaggregated model with uncertainty yields higher values of the NSCC for low- and middle-income countries. The paper contributes to the literature by quantifying how sector-specific vulnerabilities and stochastic variability amplify climate damages and reshape global equity in the distribution of the NSCC. The NSCCs derived from our model offer policy-relevant metrics for adaptation planning, mitigation target setting, and equitable burden-sharing in international climate negotiations. This approach bridges the gap between globally harmonized carbon pricing and nationally differentiated climate impacts, providing a theoretically grounded and empirically rich framework for future climate policy design.
| Original language | English |
|---|---|
| Article number | 2640001 |
| Pages (from-to) | 1-16 |
| Number of pages | 16 |
| Journal | Climate Change Economics |
| Volume | 17 |
| Issue number | 1 |
| Early online date | 31 Jan 2026 |
| DOIs | |
| Publication status | Published - Feb 2026 |
Bibliographical note
Publisher Copyright:© 2026 World Scientific Publishing Company.
Funding
This work was supported by Korea Environment Industry & Technology Institute (KEITI) through Climate Change R&D Project for New Climate Regime, funded by Korea Ministry of Environment (MOE) (RS-2023-00218794). We are also grateful to Jong-rak Baek and Jeewon Son for their support in data collection.
| Funders | Funder number |
|---|---|
| Korea Environmental Industry and Technology Institute | |
| Ministry of Environment | |
| Ministry of Education, Ethiopia | RS-2023-00218794 |
Keywords
- climate impacts
- country-level SCC
- FUND model
- Social cost of carbon
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