PLANTATION EVALUATION IN INDONESIA: A CLASSIFICATION TEMPLATE AND ANALYSIS OF PROFITABILITY

Maruli Indra

No 11043, Graduate Research Master's Degree Plan B Papers from Michigan State University, Department of Agricultural, Food, and Resource Economics

Abstract: The purposes of this study were to develop a template to reduce errors and time needed to classify plantations in Indonesia; and to analyze the correlation between the profit of the firm and plantation performance level. This study uses dBase IV to develop the descriptive classification template and quantitative statistics (Discriminant Analysis) to evaluate the relationship between a firm's/classification and profits. Data used were obtained from the Directorate General of Estate Crops, ~Indonesian Ministry of Agriculture in 1992. The study found that processing the plantation classification data using the template increases data processing accuracy and is about 9 time faster than when classification is done manually. The study also found that several factors influence the profitability of the firm. The variable, knowledge of the leader, makes the highest share contribution to a firm's profit. Finally, this study recommends that the Directorate General of Estate Crops should review the weights currently assigned to variable in determining the plantation performance and use the template for processing the classification data in order to reduce data processing bias and the time required to classify plantations.

Keywords: Productivity; Analysis (search for similar items in EconPapers)
Pages: 205
Date: 1993
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/11043/files/pb93in01.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:midagr:11043

DOI: 10.22004/ag.econ.11043

Access Statistics for this paper

More papers in Graduate Research Master's Degree Plan B Papers from Michigan State University, Department of Agricultural, Food, and Resource Economics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().