DECISION TREE MODELLING TO SUPPORT INVESTMENT DECISIONS ON FLOWER PRODUCTION FOR THE NORTHERN HEMISPHERE

F. van Haaster and T.E. Kleynhans

Agrekon, 2002, vol. 41, issue 01

Abstract: The aim of this research was to develop a generic decision tree model that captures and integrates in a logical and orderly manner the impacts of production and marketing activities that determine the profitability of flower production for export. The model has to indicate options necessitating choices between alternative production and marketing activities and has to show the impact of a particular choice on the profitability of the total operation. The model should be easily adaptable to evaluate the suitability of various flowers for export. The model was applied to describe the income and cost determinants and relevant choices with regard to the production of Protea Magnifica (Queen Protea) in the Western Cape to be sold on Dutch flower auctions.

Keywords: Crop Production/Industries; Production Economics (search for similar items in EconPapers)
Date: 2002
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/245983/files/4 ... r%20%20Kleynhans.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:agreko:245983

DOI: 10.22004/ag.econ.245983

Access Statistics for this article

More articles in Agrekon from Agricultural Economics Association of South Africa (AEASA) Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().