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Decision Tree Modelling To Support Investment Decisions On Flower Production For The Northern Hemisphere

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  • van Haaster, F.
  • Kleynhans, T.E.

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.

Suggested Citation

  • van Haaster, F. & Kleynhans, T.E., 2002. "Decision Tree Modelling To Support Investment Decisions On Flower Production For The Northern Hemisphere," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 41(01).
    • Handle: RePEc:ags:agreko:245983
    DOI: 10.22004/ag.econ.245983
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    References listed on IDEAS

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    3. Hooker, Neal H. & Nayga, Rodolfo M., Jr. & Siebert, John W., 1999. "Assessing The Economics Of Food Safety Activities: Studies Of Beef Slaughter And Meat Processing," Faculty Paper Series 24003, Texas A&M University, Department of Agricultural Economics.
    4. Julie Kennett & Murray Fulton & Harvey Brooks & Pauline Molder, 1998. "Supply Chain Management in Cereal Grains: A Case Study from the U.S. Milling Wheat Industry," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 46(4), pages 549-558, December.
    5. Allerts, S. & Kleynhans, Theo E. & Vink, Nick, 1998. "Fynbos Exports From The Western Cape Province: A Problem Of Logistics," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 37(4), pages 1-9, December.
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