Efficiency analysis of plantation companies in Malaysia: a data development analysis application / Mohd Nor Fikri Md Razali

Md Razali, Mohd Nor Fikri (2018) Efficiency analysis of plantation companies in Malaysia: a data development analysis application / Mohd Nor Fikri Md Razali. [Student Project] (Unpublished)

Abstract

This paper presents a research study on the efficiency performance of the oil palm companies in Malaysia. A total of 20 performance companies from oil palm plantation sector listed in Bursa Malaysia were used the efficiency strength and return to scale analysis. The input oriented Data Envelopment Analysis models were employed in the analyses. Data were obtained from the annual financial statement of each companies for the year 2016. The overall result shows significant correlations among the variables. The DEA scores indicate that only 6 and 30% of the companies are operating on the best-practice frontier under the assumptions of return to scale (CRS). The rest will have difficulty in making themselves efficient in short term. An inefficient companies can be made more efficient by projection onto the frontier. Other than that, peers are efficient units that could acts as models for inefficient units to improve performance. A linear combination of these peers acts as a composite efficient DMU which identifies a corresponding efficient position on the frontier for the inefficient unit under evaluation.

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Item Type: Student Project
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Md Razali, Mohd Nor Fikri
UNSPECIFIED
Subjects: H Social Sciences > HD Industries. Land use. Labor > Agriculture > Agricultural economics
H Social Sciences > HD Industries. Land use. Labor > Agriculture > Agricultural economics > Large farms. Plantations > Malaysia
H Social Sciences > HD Industries. Land use. Labor > Agricultural industries
Divisions: Universiti Teknologi MARA, Melaka > Jasin Campus > Faculty of Plantation and Agrotechnology
Programme: Bachelor of Science (Hons) Plantation Management and Technology (AT220)
Keywords: Efficiency; Data development analysis; Return to scale
Date: 2018
URI: https://ir.uitm.edu.my/id/eprint/22654
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