↓ Skip to main content

A stochastic frontier analysis of technical efficiency of fish cage culture in Peninsular Malaysia

Overview of attention for article published in SpringerPlus, July 2016
Altmetric Badge

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
55 Mendeley
Title
A stochastic frontier analysis of technical efficiency of fish cage culture in Peninsular Malaysia
Published in
SpringerPlus, July 2016
DOI 10.1186/s40064-016-2775-3
Pubmed ID
Authors

Gazi Md. Nurul Islam, Shzee Yew Tai, Mohd Noh Kusairi

Abstract

Cage culture plays an important role in achieving higher output and generating more export earnings in Malaysia. However, the cost of fingerlings, feed and labour have increased substantially for cage culture in the coastal areas in Peninsular Malaysia. This paper uses farm level data gathered from Manjung, Perak and Kota Tinggi, Johor to investigate the technical efficiency of brackish water fish cage culture using the stochastic frontier approach. The technical efficiency was estimated and specifically the factors affecting technical inefficiencies of fish cage culture system in Malaysia was investigated. On average, 37 percent of the sampled fish cage farms are technically efficient. The results suggest very high degrees of technical inefficiency exist among the cage culturists. This implies that great potential exists to increase fish production through improved efficiency in cage culture management in Peninsular Malaysia. The results indicate that farmers obtained grouper fingerlings from other neighboring countries due to scarcity of fingerlings from wild sources. The cost of feeding for grouper (Epinephelus fuscoguttatus) requires relatively higher costs compared to seabass (Lates calcarifer) production in cage farms in the study areas. Initiatives to undertake extension programmes at the farm level are needed to help cage culturists in utilizing their resources more efficiently in order to substantially enhance their fish production.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 16%
Student > Master 8 15%
Lecturer 6 11%
Student > Ph. D. Student 6 11%
Student > Doctoral Student 4 7%
Other 5 9%
Unknown 17 31%
Readers by discipline Count As %
Economics, Econometrics and Finance 11 20%
Agricultural and Biological Sciences 7 13%
Environmental Science 5 9%
Veterinary Science and Veterinary Medicine 3 5%
Mathematics 2 4%
Other 8 15%
Unknown 19 35%