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Payoffs to Farm Management: How Important is Crop Marketing?

Published online by Cambridge University Press:  28 April 2015

Heather D. Nivens ,
Terry L. Kastens  and
Kevin C. Dhuyvetter
Heather D. Nivens
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, Kansas
Terry L. Kastens
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, Kansas
Kevin C. Dhuyvetter
Affiliation:
Department of Agricultural Economics, Kansas State University, Manhattan, Kansas
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Abstract

In production agriculture, good management is demonstrated by profits that are persistently greater than those of similar neighboring farms. This research examined the effects of management practices on risk-adjusted profit per acre for Kansas farms over 1990-1999. The management practices were price, cost, yield, planting intensity, and technology adoption (less-tillage). Cost management, planting intensity, and technology adoption had the greatest effect on profit per acre, and cash price management was found to have the smallest impact. If producers wish to have continuously high profits, their efforts are best spent in management practices over which they have the most control.

Keywords

farm managementmarketingrisktechnology adoption
Type
Original Articles
Information
Journal of Agricultural and Applied Economics , Volume 34 , Issue 1 , April 2002 , pp. 193 - 204
Copyright
Copyright © Southern Agricultural Economics Association 2002

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References

Agricultural Market Advisory Services (AgMAS). Internet site http://web.aces.uiuc.edu/farm.doc/agmas (Accessed September 2001).Google Scholar
Belsley, D., Kuh, E., and Welsch, R.. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. New York: John Wiley and Sons, 1980.Google Scholar
Chavas, Jean-Paul, and Aliber, M.. “An Analysis of Economic Efficiency in Agriculture: A Non-parametric Approach.” Journal of Agriculture and Resource Economics 18,1(1993):1–16.Google Scholar
The Enterprise Analysis Report 1999. Kansas Farm Management Associations. Department of Agricultural Economics, Kansas State University, Manhattan, Kansas, 1999.Google Scholar
Farm Service Agency. U.S. Dept. of Agriculture. Kansas Office. Manhattan, Kansas. Direct source of government farm program loan price differentials.Google Scholar
Featherstone, A., Langemeier, M. R., and Ismet, M.. “A Nonparametric Analysis of Efficiency for a sample of Kansas Beef Cow Farms.” Journal of Agriculture And Applied Economics 29,1(1997):175–84.Google Scholar
Garcia, P., Hudson, M. A., and Waller, M. L.. “The Pricing Efficiency of Agricultural Futures Markets: an Analysis of Previous Research Results.” Southern Journal of Agricultural Economics 20,1(1988): 119–30.Google Scholar
Greene, W. H. “The Econometric Approach to Efficiency Analysis.” The Measurement of Productivity, Techniques and Applications. Fried, , Lovell, , and Schmidt, , eds. New York: Oxford University Press, 1993.Google Scholar
Kansas Farm Facts. Kansas Department of Agriculture, U.S. Department of Agriculture. Various annual issues, 1990-1999.Google Scholar
Kastens, T. L., and Schroeder, T. C.. “Efficiency Tests of July Kansas City Wheat Futures.” Journal of Agricultural and Resource Economics 21,2(1996):187–198.Google Scholar
Kolb, R. W. “Is Normal Backwardation Normal?” Journal of Futures Markets 12,1(1992):75–91.CrossRefGoogle Scholar
Kolb, R. W. “The Systematic Risk of Futures Contracts.” Journal of Futures Markets 16,6(1996): 631–54.Google Scholar
Koopmans, T. C. “An Analysis of Production as an Efficient Combination of Activities.” Activity Analysis of Production and Allocation, Cowels Commission for Research in Economics, Monograph No. 13. Koopmans, T. C., eds. New York: John Wiley and Sons Inc., 1993.Google Scholar
Leathers, H. D., and Smale, M.. “A Bayesian Approach to Explaining Sequential Adoption of Components of a Technological Package.” American Journal of Agricultural Economics 73,3(1991):735–742.CrossRefGoogle Scholar
Mishra, A. K., El-Osta, H. S., and Johnson, J. D.. “Factors Contributing to Earnings Success of Cash Grain Farms.” Journal of Agricultural and Applied Economics 31,3(1999):623–637.Google Scholar
Nivens, H., Kastens, T., and Dhuyvetter, K.. “Pay-offs to Farm Management: How Important is Grain Marketing?” NCR-134 Conference Pro-ceeding on Applied Commodity Price Analysis, Forecasting, and Market Risk Management, 1999, pp. 289–302.Google Scholar
Rowland, W. W., Langemeier, M. R., Schurle, B. W., and Featherstone, A. M.. “A Nonparametric Ef-ficiency Analysis for a Sample of Kansas Swine Operations.” Journal of Agricultural And Applied Economics 30,1(1998): 189–99.Google Scholar
Tomek, W. G. “Commodity Futures Prices as Fore-casts.” Review of Agricultural Economics 19,1(1998):23–44.Google Scholar
Wisner, R. N., Blue, E. N., and Baldwin, E. D.. “Pre-harvest Marketing Strategies Increase Net Returns for Corn and Soybean Growers.” Review of Agricultural Economics 20,2(1998):288–307.Google Scholar
Zulauf, C. R., and Irwin, S. H.. “Market Efficiency and Marketing to Enhance Income of Crop Producers.” Review of Agricultural Economics 20,2(1998):308–331.Google Scholar