Damages from Climate Change and the Gains from Complying with the Paris Accord

Computable general equilibrium (CGE) models are a standard tool for policy analysis and forecasts of economic growth. Unfortunately, due to computational constraints, many CGE models are dimensionally small, aggregating countries into an often limited set of regions or using assumptions such as static price-level expectations, where next period’s price is conditional only on current or past prices. This is a concern for climate change modeling, since the effects of global warming by country, in a fully disaggregated and global trade model, are needed, and the known future effects of global warming should be included in forward-looking forecasts for prices and profitability. This work extends a large dimensional intertemporal CGE trade model to account for the various effects of global warming (e.g., loss in agricultural productivity, sea level rise, and health effects) on Gross Domestic Product (GDP) growth and levels for 139 countries, by decade and over the long term, where producers look forward and adjust price expectations and capital stocks to account for future climate effects. The potential economic gains from complying with the Paris Accord are also estimated, showing that even with a limited set of possible damages from global warming, these gains are substantial. For example, with the comparative case of 4C, the global gains from complying with the 2C target  are approximately US$17,489 billion per year in the long run (year 2100). The relative damages from not complying to Sub-Sahara Africa, India, and Southeast Asia, across all temperature ranges, are especially severe.

Earth’s Future open access publication: Click Here

1 thought on “Damages from Climate Change and the Gains from Complying with the Paris Accord

  1. Neil Andrews

    Tom
    A former ABARE researcher here.

    I have had a look at a video of a presentation you did on this topic, but I haven’t read the actual paper. Apologies if this has been covered. Have you looked at a sensitivity type analysis where you do exactly the same scenarios with exactly the same assumptions but with more aggregated regios and sectors to highlight the extent of the impact of disaggregation on the size of impacts.

    Reply

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