An agronomic crop growth model, Decision Support System for Agro-Technology Transfer (DSSAT), is used to find optimal crop management strategies for cotton production in Mitchell, Miller, and Lee Counties in Georgia during the past 10 years. Planting date and irrigation threshold are the two...

Complexity of environmental programs is most apparent with information asymmetries, making the design of efficient mechanisms particularly challenging. As developed theoretically in this paper, a new regulatory capitalism paradigm mating voluntary agreements with environmental education can...

In this paper, a dynamic optimization model was developed to simulate how farm-level realized price and profitability respond to yield change which was induced by climate change. Producers' acreage response was included in the dynamic model considering crop rotation effect. In the crop rotation...

This study examines the interaction between insurance, credit and liquidityconstraints using a stochastic dynamic model. A risk averse farmer whoseobjective is to manage both production and market risk is assumed tomaximize the expected utility of life-time consumption by using both arearevenue...

An agronomic crop growth model—the Decision Support System for Agro-Technology Transfer—and a constant relative risk aversion utility function are used to examine corn irrigation strategies in Mitchell County, Georgia. Precipitation contracts are designed to help farmers manage...

Complexity of environmental programs is most apparent with information asymmetries, making the design of efficient mechanisms particularly challenging. As developed theoretically in this paper, a new regulatory capitalism paradigm mating voluntary agreements with environmental education can...

Using principal component analysis, a climate index is developed to estimate the linkage between climate and crop yields. The indices based on three climate projections are then applied to forecast future crop yield responses. We identify spatial heterogeneity of crop yield responses to future...

This paper presents a dynamic crop rotation model that shows how crop yield and price volatility could impact crop mix and acreage response under crop rotation considerations. Specifically, a discrete Markov decision model is utilized to optimize producers’ crop rotation decision within a...

The objective of this study is to compare the effects of climate change on crop yields across different regions. A Principal Component Regression (PCR) model is developed to estimate the historical relationships between weather and crop yields for corn, soybeans, cotton, and peanuts for several...