UPM Institutional Repository

Malaysian white shrimp (P. vannamei) aquaculture: an application of stochastic frontier analysis on technical efficiency


Citation

Lim, Ghee Thean and Islam, Gazi Md Nurul and Ismail, Mohd Mansor (2016) Malaysian white shrimp (P. vannamei) aquaculture: an application of stochastic frontier analysis on technical efficiency. International Food Research Journal, 23 (2). pp. 638-645. ISSN 1985-4668; ESSN: 2231-7546

Abstract

Shrimp aquaculture is playing a vital role in Malaysian agriculture, especially its increasing contribution to economic growth. White shrimp aquaculture is not only the key player in brackish water shrimp aquaculture but also the largest contributor to Malaysian shrimp aquaculture. This study estimates technical efficiency and investigates factors affecting technical inefficiency of Malaysian white shrimp aquaculture. Stochastic frontier analysis with trans-log production model is applied in this study. Malaysian white shrimp aquaculture farmers have achieved an estimated average technical efficiency of 81.2 percent. Land ownership, shrimp seed size and seminar are the factors having significant impacts on technical inefficiency and thereby playing important roles in improving technical efficiency of this industry. This study suggests that seminar should be conducted by shrimp farming extension agents to enhance knowledge of shrimp farmers. Malaysian government should allocate lands and, provide technical and financial supports to develop this industry. Subsidy on shrimp seed should be also given to encourage shrimp farmers to embrace and adopt quality shrimp seed for their farms.


Download File

[img]
Preview
PDF
(25).pdf

Download (370kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Institute of Agricultural and Food Policy Studies
Publisher: Faculty of Food Science and Technology, Universiti Putra Malaysia
Keywords: Malaysia; Seminar; Shrimp; Stochastic frontier analysis; Technical efficiency
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 10 Jun 2016 09:04
Last Modified: 10 Jun 2016 09:04
URI: http://psasir.upm.edu.my/id/eprint/13795
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item