Cattle production contributes about 2.2% of US greenhouse gas emissions. The adoption of prescribed grazing (PG) could reduce these emissions. Grass-fed beef products command price premiums; whether beef produced with PG programs would do likewise is not known. This research estimates consumer...

While policies for responding climate change impacts need the support and cooperation from the public who may be affected by the policies, understanding the general public’s opinion is important and can help form feasible action plans. In this paper we take advantage of a temperature event...

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...

How does current weather and climate change impact cropland use and allocation? Using 2010 ARMS data on several thousand central US farms, we estimate a two-step model that controls for expected relative prices, local soil characteristics, and self-selection into primary crop. We find that: (i)....

In this research, we propose a framework to connect SWAT model with a dynamic discrete choice based land use model. With the recent years of cropland data layers published by NASS, USDA and data complied from other sources, we apply this framework to land use change in Upper-Mississippi River...

This paper builds a model determining optimal capacities of diversion dams or water transfer projects. The model incorporates stochastic inflows to the dams and the role of the dam capacity in reducing overflows, and gives a closed-form expression of the marginal benefit of capacities....