Choice of Optimal Planting and Marketing Decisions for Fresh Vegetable Producers: A Mathematical Programming Approach

Vista sencilla de ítem
dc.creatorVassalos, Michael
dc.creatorDillon, Carl R.
dc.creatorCoolong, Tim
dc.date2017-04-01T13:45:19Z
dc.date.accessioned2026-07-09T05:55:06Z
dc.descriptionThis study combines whole farm economic analysis with biophysical simulation techniques in order to achieve a twofold objective. First, the study seeks to develop a multiple enterprise vegetable farm model with a production and marketing decision interface and, second, to determine optimal production practices for Kentucky vegetable growers. Three vegetable crops are examined: tomatoes, bell peppers and sweet corn. The findings indicate that the risk associated with vegetable production can be significantly mitigated with diversification of production mix and with a greater number of transplanting dates. However, this reduction in risk comes at a high cost in terms of expected net returns.
dc.identifierdoi:10.22004/ag.econ.120016
dc.identifierhttps://ageconsearch.umn.edu/record/120016/files/SAEA%20paper.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/120016
dc.identifier.urihttp://hdl.handle.net/123456789/570017
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/120016
dc.titleChoice of Optimal Planting and Marketing Decisions for Fresh Vegetable Producers: A Mathematical Programming Approach
dc.typeText

Archivos

Colecciones

University of Minnesota