Hostname: page-component-848d4c4894-ttngx Total loading time: 0 Render date: 2024-05-23T21:34:21.927Z Has data issue: false hasContentIssue false
  • English
  • Français

An Analysis of Household Expenditures on Nursery Products in the United States

Published online by Cambridge University Press:  09 September 2016

Wayne M. Gineo  and
S. Were Omamo
Wayne M. Gineo
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Connecticut
S. Were Omamo
Affiliation:
Department of Agricultural Economics and Rural Sociology, University of Connecticut
Get access

Abstract

This paper develops Engel relationships to identify the determinants of household expenditures on nursery products and specifies their impact on consumer purchases of these goods for subregions of the United States. Household income, the number of single family home construction starts, educational level attained, and age composition of the population were found in influence nursery product expenditures. The economic variables of income and construction starts appear to be key factors affecting nursery purchases. To maintain a competitive edge, industry participants should monitor these variables carefully and adjust their production and marketing plans to meet changing market conditions.

Keywords

nursery productsexpenditurespurchases
Type
Articles
Information
Journal of Agricultural and Applied Economics , Volume 22 , Issue 2 , December 1990 , pp. 199 - 208
Copyright
Copyright © Southern Agricultural Economics Association 1990

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

Bishop, Jim. “Building Trends Can Spell Boom or Bust for Landscapers”>. American Nurseryman, July 1, 1987. pp.115–118..+American+Nurseryman,+July+1,+1987.+pp.115–118.>Google Scholar
Chow, Gregory. “Tests of Equality Between Sets of Coefficients in Two Linear Regressions”. Econometrica, 28(3)(1960):591–605.CrossRefGoogle Scholar
Dunn, Charles. “$3 Billion Market: Western Nursery and Lawn and Garden Products,” Pacific Coast Nurseryman and Garden Supply Dealer. August-December 1985, pp. 46–51.Google Scholar
Gineo, Wayne M. “Nursery Marketing Can Be Improved”. J. Environmental Hort., 6(2)(1988):72–75.Google Scholar
Gujarati, Damodar. Basic Econometrics. New York: McGraw-Hill Book Company, 1978.Google Scholar
Judge, George G., Hill Carter, R., Griffiths, William E., Lutkepohl, Helmut, and Lee, Tsoung-Chao. Introduction to the Theory and Practice of Econometrics, 2nd Edition. New York: John Wiley and Sons, 1982.Google Scholar
Kennedy, Peter. A Guide to Econometrics, 2nd Edition. Cambridge, MA: The MIT Press, 1985.Google Scholar
Kmenta, Jan. Elements of Econometrics. New York: McMillan, 1971.Google Scholar
Salathe, Larry. “An Empirical Comparison of Functional Forms for Engel Relationships”. Agr. Econ. Res., 31(2)(1979):10–15.Google Scholar
Theil, Henri. Introduction to Econometrics. Englewood Cliffs, NJ: Prentice Hall, 1978.Google Scholar
United States Bureau of the Census. Census of Retail Trade, Washington, D.C., 1967, 1972, 1977,1982.Google Scholar
United States Bureau of the Census. Census of Business, Washington D.C. 1963.Google Scholar
United States Bureau of the Census, Washington, D.C. Current Population Report. 1963, 1967, 1972, 1977, 1982.Google Scholar
United States Department of Agriculture, “Agricultural Outlook”. Economic Research Service, Washington D.C. July 1988.Google Scholar
United States Bureau of the Census. Statistical Abstract of U.S., Washington D.C. various issues 1963-1984.Google Scholar
Varner, Michael C. and Lalo, Gregory J., Household Demandfor Landscaping Trees and Shrubs in New Jersey. New Jersey Agr. Exp. Sta. Bull. R-02450-1-83. New Brunswick, NJ.Google Scholar
Voight, Alvi. “A Guide to Nursery Marketing Research”. Hort. Res. Institute, Washington D.C. 1978.Google Scholar
Weyerhauser Nursery Production Division. “The Value of Landscaping”. Ideas for Today, 4, 1986, Weyer-hauser Company.Google Scholar
Zellner, A. “An Efficient Method of Estimating Seemingly Unrelated Regression and Tests for Aggregation Bias”. J. Am. Sta. Assoc., 57(1962):348–364.Google Scholar