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...

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 document non-linear stock effects in the relationship linking emerging technology adoption and network infrastructure increments. We exploit 2010-2017 data covering nascent to mature electric vehicle (EV) markets across 422 Norwegian municipalities together with two complementary...

We document non-linear stock effects in the relationship linking emerging technology adoption and network infrastructure increments. We exploit 2010-2017 data covering nascent to mature electric vehicle (EV) markets across 422 Norwegian municipalities together with two complementary...

We structurally estimate a two-sector Schumpeterian growth model with endogenous population and finite land reserves to study the long-run evolution of global population, technological progress and the demand for food. The estimated model closely replicates trajectories for world population,...

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...