Measuring the Impacts of US Export Promotion Program for Wheat in Selected Importing Regions

We examine the impacts of major factors affecting the export demand of wheat with a special focus on the impacts of export promotion programs on US wheat. Study results show negative impacts of own-price and real exchange rate on export demand of wheat, while the real GDP, price of corn, and export promotion expenditure had positive and significant impacts. The per dollar returns to wheat export promotion expenditures were $1.49,$0.42, and $2.01 for Middle East, Pacific Rim, and Mexico, respectively.International Relations/Trade,

FORECASTING IRRIGATION WATER DEMAND: A STRUCTURAL AND TIME SERIES ANALYSIS

An expected utility model was developed to capture the impacts of wealth, other economic, and institutional factors on irrigation acreage allocation decisions. Predicted water demand is derived from an expected utility structural model and various ARIMA models. No significant differences arise between forecasted irrigation acreage and, thereby, amount of forecasted water demand between econometric and time series models. However, estimates of water demand differ significantly from a Blaney-Criddle-based physical model. Keywords: water forecasting, acreage response, water slippage, BC formulawater forecasting, acreage response, water slippage, BC formula, Land Economics/Use, Resource /Energy Economics and Policy,

Measuring the Impacts of US Export Promotion Program for Wheat in Selected Importing Regions

We examine the impacts of major factors affecting the export demand of wheat with a special focus on the impacts of export promotion programs on US wheat. Study results show negative impacts of own-price and real exchange rate on export demand of wheat, while the real GDP, price of corn, and export promotion expenditure had positive and significant impacts. The per dollar returns to wheat export promotion expenditures were $1.49,$0.42, and $2.01 for Middle East, Pacific Rim, and Mexico, respectively

FORECASTING IRRIGATION WATER DEMAND: A STRUCTURAL AND TIME SERIES ANALYSIS

An expected utility model was developed to capture the impacts of wealth, other economic, and institutional factors on irrigation acreage allocation decisions. Predicted water demand is derived from an expected utility structural model and various ARIMA models. No significant differences arise between forecasted irrigation acreage and, thereby, amount of forecasted water demand between econometric and time series models. However, estimates of water demand differ significantly from a Blaney-Criddle-based physical model. Keywords: water forecasting, acreage response, water slippage, BC formul

WATER DEMAND FORECASTING FOR POULTRY PRODUCTION: STRUCTURAL, TIME SERIES, AND DETERMINISTIC ASSESSMENT

A profit maximization model and an ARIMA model were developed to forecast water demand for broiler production. The forecasted numbers of broilers from structural and ARIMA model depart significantly from a USGS physical model. Analysis indicates 4% slippage in water demand forecasting related to disregarding the role of economic variables