China has become the largest importer of roundwood and lumber products in recent years. In this study, the degree of competition among major supplying countries in China's import market is measured through the inverse residual demand elasticity over 1995–2015. Time-series properties of the data are considered through the autoregressive distributed lag model. The analysis reveals that market power exists in roundwood and lumber markets for a few supplying countries. The suppliers in the lumber import market have more market power than those in the roundwood market. Individual countries with substantial market power have more fluctuations in trading volumes.

We develop a model for a representative risk-averse cotton farmer to analyze the impact of crop insurance policies (Revenue Protection [RP], Yield Protection, Stacked Income Protection Plan [STAX], and Supplemental Coverage Option [SCO]). The model is calibrated and numerically optimized to quantify the effects of different insurance policy combinations on input use (moral hazard), insurance coverage levels, premiums, and certainty equivalent. When the farmer elects only RP, the optimal coverage rate is 80%. Under RP and STAX, the optimal RP coverage rate is 70% and the STAX coverage rate is 90%. RP and STAX is the optimal policy combination based on certainty equivalents. The RP and SCO combination has the lowest impact of input use.

In developing countries, problems such as malnutrition and food insecurity are shifting from rural to urban areas because of rapid urbanization. However, regional variations in alimental food consumption within urban settings have often been ignored. Using survey data, our study examines regional patterns of expenditure on fresh vegetables, fruits, and peanut products in urban households of Ghana. After accounting for socioeconomic and demographic factors, food expenditure on fresh vegetables and peanut products and income elasticity vary significantly across major cities. Food distributors may adjust their marketing strategies, while policy makers should pay attention to possible disparities in urban areas.

The dependent variable in the Rotterdam model is shown to consist of two additive components: the proportionate change in the average product weight consumed by existing buyers and the proportionate change in the share of total consumers who actually purchase the product. Applying the extended model to household data on salmon consumption in France, results suggest prices have a larger effect on attracting new buyers to the product in question than on getting existing buyers to consume more. However, generic advertising was found to affect consumption intensity but have no effect on market participation in the short run.

Although Tennessee has Advanced Master Beef Producer (AMBP) and Beef Quality Assurance (BQA) certifications for cattle producers, currently there is no state-certified beef labeling program. A choice experiment was administered to Tennessee consumers to determine their willingness to pay for Tennessee Certified Beef (TCB) and other attributes such as labels indicating producer participation in AMBP and BQA. Random parameter logit model results indicate consumers most valued TCB steak and no-hormones-administered ground beef. Consumers also valued many labels when appearing alongside the TCB label. The impact of providing participants label definitions prior to the choice experiment was examined.

Several studies indicate an integrated global market for salmon. However, there is increasing evidence of market segmentation for various seafood species. A disease crisis in Chile that reduced production by two-thirds provides a strong market shock that can shed light on how strongly integrated the salmon market is. Our results indicate that Chilean producers changed the product mix and export markets as a result of the disease shock. Yet, the relative prices remained constant, indicating a high degree of market integration. Moreover, Chilean prices are endogenous to the Norwegian price, indicating that prices are determined at the global market.

From December 2014 to June 2015, U.S. poultry was affected by highly pathogenic avian influenza that led to destruction of 48 million birds and losses in international trade. During the event, 45 countries placed trade restrictions on U.S. poultry exports, varying from regionalized to national poultry restrictions. Using a gravity model of trade, the effects on quantity traded is estimated for poultry exports at the aggregated and disaggregated commodity level to understand product flows during an event. Results indicate U.S. poultry exports benefit from countries willing to apply limited trade restrictions, and the trade impact varies across disaggregated commodities.