The non-alcoholic beverage market in the U.S. is a multi-billion dollar industry growing steadily over the past decade. Also, non-alcoholic beverages are among the most heavily advertised food and beverage groups in the United States. Several studies pertaining to non-alcoholic beverages...

One of the growing agricultural subsectors in developing countries is livestock. Livestock and livestock products account for a third of the agricultural gross output. However, the lack of viable livestock market information systems to increase efficiency of markets and support the decision...

Relationships between adaptive expectations, the exponentially weighted moving average, and optimal Univariate statistical predictors are reviewed We show that the behavioral-based adaptive expectations are a subclass of both the exponentially weighted moving average and the (0,1,1) ARIMA model...

E-V studies traditionally have relied on historical data to calculate returns and variance. Historical data may not fully reflect current conditions, particularly when decisions involve government-supported crops. This paper presents a method for calculating mean and variance using...

Replaced with revised version of paper 02/22/11.

This study investigates the potential impacts of food safety outbreaks on domestic shipments, imports, and prices of the produce industry. Three case studies were analyzed to assess these potential impacts: the cantaloupe outbreak of March–April 2008, the spinach outbreak of September...

The consumption of milk in China has been increasing over past two decades. Currently, China does not produce enough milk to meet this increase in demand. Consequently a large volume of milk is imported. In this study, import demand for milk in China is explored using demand systems approach...

We model the energy–agriculture linkage through structural vector autoregression (VAR) model. This model quantifies the relative importance of various contributing factors in driving prices in both markets. The LiNGAM algorithm from the machine learning literature is used to help identify...

State level data on food environment variables for the period 2000 through 2013, gathered from the Food Environment Atlas and various other government sources are used to model a panel VAR to capture specific state-level fixed and random effects. The set of food environment variables can be...

The goal of this study was to analyze the impact of a newly introduced market information system “E-Soko”, on beans markets integration by comparing the period before and after the system was implemented in Rwanda. Beans, both bush and climbing, are the most important traded crop in rural...