This paper combines an econometric analysis of the response of energy demand to temperature and humidity exposure with future scenarios of climate change and socioeconomic development to characterize climate impacts on energy demand at different spatial scales. Globally, future climate change is...

The Drought Management Plans (DMPs) are a regulatory instrument that establishes priorities among the different water uses and defines more stringent constraints to access to publicly provided water during droughts, especially for non-priority uses such as agriculture. These plans have recently...

This paper proposed a methodological framework for the assessment of carbon stocks and the development and identification of land use, land use change and land management scenarios, whereby enhancing carbon sequestration synergistically increases biodiversity, the prevention of land degradation...

Global gridded crop models (GGCMs) are the workhorse of assessments of the agricultural impacts of climate change. Yet the changes in crop yields projected by different models in response to the same meteorological forcing can differ substantially. Through an intermethod comparison, we provide a...

Estimated Ricardian models have been criticized because they rely on mean temperatures and do not explicitly include extreme temperatures. This paper uses a cross sectional approach to compare a standard quadratic Ricardian model of mean temperature with a fully flexible daily temperature bin...

Many non-market valuation models, such as the Ricardian model, have been estimated using cross sectional methods with a single year of data. Although multiple years of data should increase the robustness of such methods, repeated cross sections suggest the results are not stable. We argue that...

We analyse the impact of a junior farmer field school project in Northern Uganda on students' agricultural knowledge and practices. We also test for the presence of inter-generational learning spillover within households. We use differences-in-differences estimators with ex-ante matching. We...