Water quality trading (trading) as a means to improve water quality has become an increasingly popular instrument considered by environmental policy makers. Although the U.S. Environmental Protection Agency lists more than forty current trading programs in the U.S., only a few active markets...

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 study seeks to forecast land use change in a North Georgia ecosystem, and estimate the economic value of the ecosystem using benefit transfer techniques. We forecast land use change based on a structural time series model and a simple growth rate model. The study suggests a lower bound...

This study seeks to forecast land use change in a North Georgia ecosystem, and estimate the economic value of the ecosystem using benefit transfer techniques. We forecast land use change based on a structural time series model and a simple growth rate model. The study suggests a lower bound...

Water quality trading (trading) as a means to improve water quality has become an increasingly popular instrument considered by environmental policy makers. Although the U.S. Environmental Protection Agency lists more than forty current trading programs in the U.S., only a few active markets...

Irrigated acreage is an important indicator for agricultural water demand which is a major category of water use. Three methodologies were applied in this study to project irrigated acreage of major crops in Georgia from 2010 to 2050. These three methodologies show consistent results. Total...

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...

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...