Hostname: page-component-76fb5796d-qxdb6 Total loading time: 0 Render date: 2024-04-25T15:37:53.917Z Has data issue: false hasContentIssue false

Incorporating the Impacts of Uncertain Fieldwork Time on Whole-Farm Risk-Return Levels: A Target MOTAD Approach

Published online by Cambridge University Press:  05 September 2016

Sukant K. Misra
Affiliation:
Department of Agricultural Economics, Georgia Experiment Station, University of Georgia
Stan R. Spurlock
Affiliation:
Department of Agricultural Economics, Mississippi State University
Get access

Abstract

Given an equipment complement, a specific crop mix has a probability distribution for whole-farm net returns. Increasing crop acreage while holding the set of equipment constant will reduce fixed costs per acre, but it will also increase the length of time required to complete crucial field operations such as planting and harvesting. Thus, the probability of encountering weather-related delays in fieldwork will increase. This increase in delays may cause a decline in yields and changes in the distribution of net returns. This paper develops a Target MOTAD model capable of capturing intra-year impacts on profit that arise from the timing of planting and harvesting operations as well as inter-year impacts on profits that are due to variations in economic and weather-related factors. The model relies on estimates of available fieldwork time and a crop's harvestable yield in different time periods throughout the harvest season.

Type
Articles
Copyright
Copyright © Southern Agricultural Economics Association 1991

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Apland, J. D., and Kaiser, H.. Discrete Stochastic Sequential Programming: A Primer. University of Minnesota Staff Paper Series, March 1984.Google Scholar
Baker, D. N., Lambert, J. R., and McKinion, J. M.. GOSSYM: A Simulator of Cotton Crop Growth and Yield. S. C. Agricultural Experiment Station, Clemson University, Technical Bulletin No. 1089, Nov. 1986.Google Scholar
Boisvert, R. N. and Jenson, H. R.. A Method for Farm Phnning Under Uncertain Weather Conditions with Application to Corn-Soybean Farming in Southern Minnesota. Minnesota Agr. Exp. Sta. Tech. Bull. No. 292, 1973.Google Scholar
Cathey, G. W. and Meredith, W. R. Jr.Cotton Response to Planting Date and Mepiquat Chloride.” Agron. J., 80(1988):463466.Google Scholar
Cocks, K. D.Discrete Stochastic Programming.Manage. Sci., 15(1968):7279.Google Scholar
Danok, A. B., McCarl, B., and White, T. K.. “Machinery Selection Modeling: Incorporation of Weather Variability.Am. J. Agr. Econ., 62(1980):700708.Google Scholar
Imholte, A. A. and Carter, P. R.. “Planting Date and Tillage Effects on Corn Following Corn.Agron. J., 79(1987):746751.Google Scholar
Leatham, D. J. and Baker, T. G.. “Farmers’ Choice of Fixed and Adjustable Interest Rate Loans.” Am. J. Agr. Econ., 70(1988):803812.Google Scholar
Mississippi Agricultural Statistics Service. Mississippi Agricultural Statistics. Jackson MS, 19781987.Google Scholar
Paris, Quirino.Revenue and Cost Uncertainty, Generalized Mean-Variance, and Linear Complementarity Problem.Am. J. Agr. Econ., 61(1979):268275.Google Scholar
Parvin, D. W. Jr., and Smith, J. W.. “The Economics of Cotton Harvesting in the Midsouth, With Emphasis on Early Season Insect Control.” Miss. Ag. and For. Exp. Sta., Staff Paper Series No. 74, Dec. 1985.Google Scholar
Rae, A. N. Stochastic Programming, Utility, and Sequential Decision Problems in Farm Management.Am. J. Agr. Econ., 53(1971):449460.Google Scholar
Sorensen, E. E. and Gilheany, J. F.. “A Simulation Model for Harvest Operations under Stochastic Conditions.Manage. Sci., 16(1970):549565.Google Scholar
Tauer, L. W.Target MOTAD.Am. J. Agr. Econ., 65(1983):606610.Google Scholar
Wetzstein, M. E., Szmedra, P. I., McClendon, R. W., and Edwards, D. M.. “Efficiency Criteria and Risk Aversion: An Empirical Evaluation.So. J. Agr. Econ., 20. 1(1988):171178.Google Scholar
Wilcox, J. R. and Frankenberger, E. M.. “Indeterminate and Determinate soybean Responses to Planting Date.Agron. 1, 79(1987):1074-1078.Google Scholar