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Data envelopment analysis and an application in the tomato sector in Turkey
Thesis

Data envelopment analysis and an application in the tomato sector in Turkey

Ahmet Akdogan
Washington State University
Master of Science (MS), Washington State University
2019
Handle:
https://hdl.handle.net/2376/102609
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A_Akdogan_050319696.23 kB
Embargoed Access, Embargo ends: 12/31/2074
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A_Akdogan_Additional-Table_050319362.43 kB
Embargoed Access, Embargo ends: 12/31/2074

Abstract

Data envelopment analysis Tomato industry Turkey
In this study, the technical efficiency is evaluated for tomato producing greenhouses in Antalya, Turkey. The aims of the study are to help improve productive efficiency and level cost greenhouse produced tomatoes for export and local consumption. In the study, the efficiency of each greenhouse is tested with data envelopment analysis (DEA). DEA uses linear programming technique to determine the efficient frontier and companies each firm to that frontier calculates optimal levels of inputs and outputs by use to compare with actual quantities of inputs and outputs. DEA analysis it is possible to determine which inputs should be decreased all individual and by how much to achieve efficiency. Using DEA analysis, efficiency was determined under both constant returns to scale (CRS) and variable returns to scale (VRS). The technical efficiency score is 0.9739 for constant returns scale (CRS) and 0.9755 for variable returns scale (VRS). Two hundred forty-four of the two hundred eight one greenhouses were found to be efficient. Efficiency scores were lower for other 37 inefficient farms (0.8020). Results were similar under the constant returns scale and variable returns to scale assumptions. New optimal input levels were provided for the inefficient farms.

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