This study contributes to the literature by using a spillover index method to examine the changing interrelations in volatility among corn and energy future prices. This methodology allows us to account for endogenously determined economic fundamentals and market speculation. After controlling for market trends and seasonality, we find relative large increases in volatility spillovers between corn, crude oil, and ethanol futures prices. Our results suggest that the cross-commodity spillovers provide useful incremental information in determining future price volatility; however, a commodity's own dynamics explain the largest portion of volatility spillovers.

Agricultural economics and agribusiness (AEAB) programs offer their graduates unique exposure to agricultural markets, policy, and production systems, which differentiates them from business programs. Despite the advantages associated with AEAB degrees, a significant challenge universities and AEAB graduates face is a general lack of recognition of what agricultural economics is and what an agricultural economist does. Using data collected from U.S. 1862 and 1890 land grant universities, we stress the importance of designing effective AEAB curricula based on enrollment trends, the desired attributes of graduates, and the current structure of AEAB undergraduate programs.

This study investigates the effects of material and symbolic quality attributes on the Cup of Excellence specialty coffee quality scores and prices. The estimates from the quality score equations suggest that material attributes are important determinants, but symbolic attributes have a greater explanatory power. The hedonic price estimations show that specialty coffee prices are mainly determined by symbolic attributes and market conditions such as the number of coffees in the auction. Overall, the study reveals that fruity, floral, sweet, spice, and sour acid are cuppers' and buyers' most favorite coffee flavors and aromas.

Both the autoregressive distributed lag (ARDL) and the nonlinear ARDL frameworks are applied to model U.S. imports of cocoa beans from Côte d'Ivoire, Ghana, and the Dominican Republic (more than 90% of U.S. cocoa imports originate from these three countries). The results provide evidence of nonlinear and asymmetric pass-through of exchange rates, regional quality difference, and imperfect competition in U.S. cocoa imports. Furthermore, a rise or fall in U.S. income leads to an increase or decrease in U.S. cocoa imports.

U.S. agriculture has seen a rapid adoption of biotechnology over the last two decades. This study investigates how biotechnology has affected U.S. farm input demand and agricultural productivity. The analysis relies on data at the national level and at the state level for selected states in the Corn Belt. It evaluates the rate of technological change and price elasticities of demand for agricultural inputs over time. The study documents the evolving biases in technological change in agriculture. It finds evidence that farm input demands have become more price inelastic.

A stochastic production frontier approach was used to estimate input distance functions for U.S. grass-fed beef (GFB) production. Average technical efficiencies of 0.84 and 0.79 were found for U.S. GFB whole farms and enterprises, respectively. Producer education level, experience, farm size, annual net farm income from the GFB operation, annual net household income from off-farm sources, and regional differences are the efficiency drivers of U.S. GFB farms. Increasing returns to scale were found for U.S. GFB farms. Our results suggest that U.S. GFB farms can be scale efficient if the optimal size of the operation is greater than approximately 100 GFB animals.

The study uses interval regression to investigate factors affecting farmers’ willingness to pay for soil testing services in Northern Haiti. The model reveals that factors such as the type of crops grown, group membership, farmers’ educational level, access to credit, gender, contact with extension services or any institution, type of soils, income level, participation in soil testing program and farm size affect the amount to be paid for soil testing services. These results imply that the training module on soil testing and financial support in form of subsidies or access to credit should be provided to farmers.