We study the capacity to meet food demand under conditions of climate change, economic and population growth. We take a novel approach to quantifying climate impacts, based on a model of the global economy structurally estimated on the period 1960 to 2015. The model integrates several features...

We study the capacity to meet food demand under conditions of climate change, economic and population growth. We take a novel approach to quantifying climate impacts, based on a model of the global economy structurally estimated on the period 1960 to 2015. The model integrates several features...

Rural regions are more exposed to rainfall shocks, notably through agriculture, and understanding how local population adapt to changes in the climate is an important policy challenge. In this paper we exploit longitudinal data for Turkish provinces from 2008 to 2018 together with precipitation...

We exploit 0.5°×0.5° raster data for mainland Southeast Asia from 2010 to 2020 to document a non-linear relationship between extreme temperature days and conflict. We show that the occurrence of conflict events increases with extreme maximum temperature days, whereas days with extreme minimum...

We study the capacity to meet food demand under conditions of climate change, economic and population growth. We take a novel approach to quantifying climate impacts, based on a model of the global economy structurally estimated on the period 1960 to 2015. The model integrates several features...

This note considers the treatment of risk and uncertainty in the recently established "social cost of carbon" (SCC) for analysis of federal regulations in the United States. It argues that the analysis of the US Interagency Working Group on Social Cost of Carbon did not go far enough into the...