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Valuing Origin Switching Options Using Monte Carlo Simulation
(North Dakota State University, 2020)
Commodity trading firms work to remain competitive in the evolving agricultural industry. They work to become more efficient by increasing economies of size and scale, vertically and horizontally integrating, and diversifying ...
India's Ethanol Import Demand: A Structural Model Approach
(North Dakota State University, 2020)
In 2020 India is expected to be a net importer of ethanol for the 6th year in a row since 2012 (Aradhey, Amit, 2019). The drivers of net importation are government policy, strong economic growth, and weak domestic ethanol ...
Risk Perception, Bias, and Resistance to New Food Tech: The Case of GMOS
(North Dakota State University, 2020)
GMOs are very controversial among consumers. Many fear that they may have risks scientists are not accounting for. Some GMOs, such as GMO soybean oil, have concerns over their processing methods as well. Traditional ...
Modeling the Impacts of Changing Agricultural Patterns on Rainfall and Temperature in North Dakota
(North Dakota State University, 2020)
Global climate change has been an issue of much concern for many years now with human activity being the main contributor to this phenomenon. However, some evidence in the United States Midwest suggests that there has been ...
Soybean Quality and Market Factor Influence on North Dakota Origin Basis Values
(North Dakota State University, 2020)
In North Dakota, origin soybean basis values place risk on market participants involved with trading the commodity. Researchers study market factors that influence origin basis values in order to better understand basis ...
Income and Price Effect on Bilateral Trade and Consumption Through Expenditure Channel: A Case of Chickpea
(North Dakota State University, 2020)
Income and price affect chickpea trade expenditure and consumption expenditure share respectively. An empirical model was estimated to examine the trade effect through the expenditure channel using Almost Ideal Demand ...