This study seeks assess how the uncertainties associated with the un- derlying biophysical processes in uence the optimal prole of land use over the next century, in light of potential irreversibility in these deci- sions. Our analysis is based on a dynamic stochastic model of global land use,...

The objective of this article is to propose the use of moment functions and maximum entropy techniques as a flexible way to estimate conditional crop yield distributions. We present a moment based model that extends previous approaches in several dimensions, and can be easily estimated using...

Climate change could affect the costs and returns of livestock production by altering the thermal environment of animals thereby affecting animal health, reproduction, and the efficiency by which livestock convert feed into retained products (especially meat and milk). In the United States,...

Approximately 75% of all water used by humans goes towards food production, much of which is traded internationally. This study formally models how this works in the case of crop agriculture, making use of recent advances in international trade theory and new data on the productivity by which...

While climate change is widely regarded as a threat to food security in southern Africa, few studies attempt to link the science of climate change impacts on agriculture with the specificities of smallholder livelihoods. In this paper, we build a series of linear programming (LP) farm-household...

Climate change will directly affect food availability and security. Because food production is fundamentally a biological process that is a function, in part, of temperature and moisture, the agricultural sector’s potential vulnerability is particularly large. While there is ongoing scientific...

The paper estimates an irrigation water demand function using disaggregate climate and well data over a 32 year time period. Aggregating climate information over long periods, like a year, loses important details on temporal climatic variation, while aggregating climate information over space...

We employ state panel data for the period 1961-2004 to identify the role of climate change on U.S. agricultural productivity growth using a stochastic production frontier method. We examine the patterns of productivity changes and weather variations across regions and over time. Climate...

How will future changes in precipitation affect irrigation demand and supply in India? This paper provides econometric evidence for the demand side of the analysis by examining the relationship between monsoon changes and irrigation variability for one of the world’s most water stressed...