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This research paper examines the potential for combining Integrated Assessment Models (IAMs) with geo-spatial landscape models to better understand the interactions between energy, economy, and land use in regions heavily dependent on woodfuels, specifically focusing on a case study in Kenya.

This research paper examines how assumptions regarding income growth in low-income countries within climate-economics models affect global emissions reduction goals, arguing that underestimating the development potential of the poorest nations leads to weaker mitigation targets.

This research paper by the Stockholm Environment Institute uses the Climate and Regional Economics of Development (CRED) model to analyze the gap between current climate-economic policy recommendations and the emission reductions required to limit global warming to 2°C. The authors argue that conventional models, such as DICE, often underestimate climate damages and ignore international equity and the needs of future generations. By incorporating updated science, lower discount rates, and cross-regional investments from rich to poor countries, the CRED Optimal scenario demonstrates that it is possible to achieve a high probability of staying below 2°C while simultaneously reducing global income inequality.

This research paper introduces a hybrid "EZ-DICE" model that implements Epstein-Zin recursive utility into the Dynamic Integrated Climate-Economy (DICE) model. The authors aim to separate risk aversion from time preference, a conflation present in standard expected-utility frameworks that often leads to a perverse relationship where higher risk aversion implies less concern for future outcomes.

This research paper introduces the Climate and Regional Economics of Development (CRED) model, an integrated assessment model (IAM) designed to analyze the intersection of climate mitigation and international economic development. The model's primary innovations include a focus on global equity through a concave utility function and the use of McKinsey marginal abatement cost curves to project mitigation costs. The authors argue that achieving climate stabilization requires either a very low discount rate or significant capital transfers from high-income to developing nations.

This research paper by the Stockholm Environment Institute evaluates whether the Stern Review underestimated climate damages for the United States and the world. By revising parameters in the PAGE2002 model—specifically regarding adaptation, catastrophic risk, and the damage function—the authors argue that business-as-usual damages in 2100 could be significantly higher than the Stern Review's estimates, rising from 2.2 percent of global GDP to 10.8 percent.

This research paper uses the Climate and Regional Economics of Development (CRED) model to analyze the relationship between climate policy and development assistance. The authors find that while climate and development choices are nearly independent under extreme assumptions of climate risk, development assistance becomes a decisive factor for global climate stabilization under intermediate risk assumptions.

This white paper by the Stockholm Environment Institute critiques the U.S. government's use of the 'social cost of carbon' (SCC) to guide climate regulations. The authors argue that the administration's 'central' estimate of $21 per ton of CO2 is dangerously low due to a reliance on flawed economic models, inappropriately high discount rates, and the omission of catastrophic climate risks. They advocate for a shift toward science-based targets and cost-effectiveness analysis rather than narrow cost-benefit calculations.