Goodhue, Rachael E.

By: Grogan, Kelly A.; Goodhue, Rachael E.
Predaceous and parasitic insects provide control of important citrus pests. However, many pesticides are toxic to these beneficials. Using California citrus grower survey data, this article tests whether landscape-level use of pesticides affects the presence of and reliance on Aphytis melinus, an important beneficial insect. Results show that landscape-level pesticide use decreases the presence of A. melinus and increases reliance on insecticides. Pesticide use on non-citrus crops has a significant negative effect on the presence of Aphytis melinus, suggesting a cross-crop spatial externality. Our findings illustrate that regulations designed to address cross-crop effects on beneficial insects can increase social welfare.
By: Alexander, Corinne E.; Fernandez-Cornejo, Jorge; Goodhue, Rachael E.
Prior to the 2000 planting season, some industry observers predicted acreage of genetically modified crops would decline dramatically. However, actual 2000 plantings presented a puzzle. Farmers reduced their acreage of genetically modified corn, but concurrently increased their acreage of genetically modified soybeans. We demonstrate that it may be theoretically optimal for risk-averse farmers to reduce their corn acreage but not their soybean acreage. However, past experience, attitudes, and farm size explained planting decisions to a larger degree than did risk preferences.
By: Goodhue, Rachael E.; Rausser, Gordon C.
American agriculture is shifting from homogeneous commodities to differentiated products. Value differentiation, the process by which agrifood chain actors isolate, match, and exploit heterogeneity in consumer preferences and product attributes, is examined. Value differentiation is characterized by complementarities across four activities at each stage of the production chain: product characteristic measurement, product characteristic production, coordination between stages, and customer preference detection. Complementarities at the firm level are modeled using supermodularity. The model's predictions are discussed, as are potential testing approaches, and implications are presented for agrifood firms, marketing orders, and returns to research.