Hilgardia
Hilgardia
Hilgardia
University of California
Hilgardia

Income, price, and yield variability for principal California crops and cropping systems

Authors

H. O. Carter
G. W. Dean

Authors Affiliations

H. O. Carter was Assistant Professor of Agricultural Economics and Assistant Agricultural Economist in the Experiment Station and on the Giannini Foundation, Davis; G. W. Dean was Assistant Professor of Agricultural Economics and Assistant Agricultural Economist in the Experiment Station and on the Giannini Foundation, Davis.

Publication Information

Hilgardia 30(6):175-218. DOI:10.3733/hilg.v30n06p175. October 1960.

PDF of full article, Cite this article

Abstract

Abstract does not appear. First page follows.

Introduction

Favorable soil and climatic conditions in California enable the majority of farmers to select from among many different types of crops and cropping systems. Other considerations such as access to markets, specialized abilities and experiences, availability of labor and mechanical equipment, and relative product and resource prices which may give individual managers comparative advantages also influence the farm manager’s decisions. Another important factor in selecting cropping systems is the manager’s attitude toward the “uncertainty” or “risk” associated with different crops; with respect to price and yield, some crops are “high risk” while others are “low risk.” Managers’ views concerning the uncertainties. of crop production are strongly influenced by past experience. However, experience is often limited (e.g., in the case of new farmers), or based on a “biased” sample of unusual years. Therefore, the purpose of this study is to provide a more objective measurement of the “uncertainty” or variability associated with various crops and cropping systems in California.

Risk and Uncertainty

Following (Knight (1921)),4risk and uncertainty are distinguished as two different phenomena. Risk refers to situations where parameters (such as the mean and variance) of the probability distribution of outcomes can be estimated so as to be actuarially insurable; in other words, the variability of outcomes can be measured empirically or quantitatively. Uncertainty, on the other hand, refers to those situations in which the parameters of the probability distribution of outcomes cannot be empirically or quantitatively determined.

Literature Cited

Heady E. O. Economics of agricultural production and resource use. 1952. New York, N.Y: Prentice Hall.

Heady E. O., Kehrberg E. W., Jebe E. H. Economic instability and choices involving income and risk in primary or crop production 1954. pp.618-723. Iowa Agr. Exp. Sta. Res. Bul. 404. Ames, Iowa

Kling W. Determination of relative risks involved in growing truck crops. Jour, of Farm Economics. 1942. 3(24):694-698. DOI: 10.2307/1231974 [CrossRef]

Knight F. H. Risk, uncertainty and profit. 1921. Mass: Houghton Mifflin Co. Boston.

Mccorkle C. O. Jr., Yair M. Statistical analysis of supply response in late spring potatoes in California. Hilgardia. 1956. 24(16):455-493. DOI: 10.3733/hilg.v24n16p455 [CrossRef]

Shultis A. Farming in California. Ag. Ext. Serv. Berkeley. Circular. 1951. 173:50

Snedecor G. W. Statistical methods (4th ed. 1946. Ames, Iowa: Iowa State College Press. p. 249-252.

Tintner G. The variate difference method. Cowles Commission For Research in Economics. Mimeograph No. 5. 1940. Bloomington, Ind.: Principia Press. 175p.

Tintner G. Econometrics. 1952. New York, N.Y.: John Wiley and Sons, Inc. p. 312-314.

Carter H, Dean G. 1960. Income, price, and yield variability for principal California crops and cropping systems. Hilgardia 30(6):175-218. DOI:10.3733/hilg.v30n06p175
Webmaster Email: sjosterman@ucanr.edu