Climate Change

Climate volatility could change in the future, with important implications for agricultural productivity. For Tanzania, where food production and prices are sensitive to climate, changes in climate volatility could have severe implications for poverty. This study uses climate model projections, statistical crop models, and general equilibrium economic simulations to determine how the vulnerability of Tanzania;s population to impoverishment by climate variability could change between the late 20th Century and the early 21st Century.

This study applied at the farm level in Tunisia aims at understanding the effects of climate change on agricultural productivity and income in Africa. Possible future climates are presented through different climate scenarios. The latter combines three levels of increasing temperature (1°centigrade (C), 2°C, and 3°C) with two levels of decreasing precipitation (10 and 20 percent) and a doubling of carbon dioxide concentration in the atmosphere (350 to 700 parts per million).

Extreme climate events could influence poverty by affecting agricultural productivity and raising prices of staple foods that are important to poor households in developing countries. With the frequency and intensity of extreme climate events predicted to change in the future, informed policy design and analysis requires an understanding of which countries and groups are going to be most vulnerable to increasing poverty. Using a novel economic-climate analysis framework, we assess the poverty impacts of climate volatility for seven socio-economic groups in 16 developing countries.

This presentation discusses the role of CGE in climate change research.

This presentation discusses the use of statistical models of crop response and climate.

This presentation discusses an overview of the climate change research agenda.