Pineapple farming has become a crucial part of Malaysia's agriculture. This study aims to evaluate the performance of pineapple farms in Johor by analysing their technical efficiency and identifying the factors that influence their technical efficiency. To determine the technical efficiency levels of pineapple farms, the Data Envelopment Analysis (DEA) method was applied, and Tobit analysis was used to examine the technical efficiency drivers. A field survey was undertaken from June to December 2021 to choose a sample of 290 pineapple farmers for this study. The data were collected from a single pineapple cropping season from 2019 to 2020. The results indicate that the average technical efficiency under constant returns to scale (CRS) and variable returns to scale (VRS) were 0.96. Furthermore, education level, annual contact and engagement with extension agents, membership in farmer's associations, being a full-time pineapple farmer, and participation in farming courses and study visits all have a favourable and significant effect on farm management efficiency. The primary issue with pineapple cultivation in Johor is inefficient agricultural techniques, in which growers do not maximise the use of available agricultural inputs. According to the findings, farmers' knowledge and abilities in pineapple growing must be improved through agronomic education.
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In-Text Citation: (Muhamad et al., 2022)
To Cite this Article: Muhamad, Z. M., Shamsudin, M. N., Kamarulzaman, N. H., Nawi, N. M., & Laham, J. (2022). An Application of Data Development Analysis to Evaluate The Technical Efficiency of Pineapple Farms in Johor, Malaysia. International Journal of Academic Research in Business and Social Sciences, 12(10), 1882–1893.
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