Forker, Olan D. (author), Kaiser, Harry M. (author), Kobayashi, Kohei (author), Lenz, John E. (author), Suzuki, Nobuhiro (author), and National Research Institute of Agricultural Economics, Japanese Ministry of Agriculture, Forestry, and Fisheries; Department of Agricultural Economics, Cornell University; Department of Agricultural Economics, Cornell University; Department of Agricultural Economics, Kyushu University; Department of Agricultural Economics, Cornell University
Format:
Journal article
Publication Date:
1994
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 100 Document Number: C08405
search through journal, A framework is proposed for incorporating the degree of market competition in evaluating milk promotion effectiveness. The imperfect competition model allows simultaneity in price and quantity with an endogenous fluid milk premium. The model's usefulness is demonstrated with Japanese generic milk promotion data. Results show a conventional exogenous-price or exogenous-premium model will underestimate returns to milk promotion. (original)
King, Robert P. (author), Swinton, Scott M. (author), and Department of Agricultural Economics, Michigan State University; Department of Agricultural and Applied Economic, University of Minnesota, St. Paul
Format:
Journal article
Publication Date:
1994
Published:
USA
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 100 Document Number: C08406
search through journal, The value of weed scouting information for soil-applied and post-emergence weed management is estimated using a dynamic, whole-farm simulation model. The model simulates outcomes of four expected utility functions from management strategies using three levels of weed information. Results from a representative Minnesota corn and soybean farm indicate high value of weed seedling counts (for post-emergence control) but relatively low value of weed seed counts (for soil-applied control). While herbicide use is often reduced under information-based management, this is not always the case. (original)
