A Study of Taiwan Tilapia Farm Environmental Diagnostics and the Product Traceability

• Main Authors: Ju-Wen Lin, 林朱文
• Other Authors: Fu-Sung Chiang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/67663361089711389937

碩士 === 國立臺灣海洋大學 === 應用經濟研究所 === 93 === Abstract In 2003, the European Union (EU) detected drug residues in Taiwan’s tilapia products. This incident interrupted Taiwan’s tilapia exports to EU and had a severe impact on Taiwan’s tilapia industry when tilapia exports to EU market between October 2003 and June 2005 was interrupted. The incident brought attentions from the government and the industry to focus on the food safety issues and to implement several measures to resolve the drug residual problem in Taiwan’s tilapia products. Food safety has become an international issue. For example, the EU started implementing the traceability system on January 1, 2005. The EU requires that all imported food items have to be traceable with production and processing records. This study conducts a statistical analysis of the Taiwan’s tilapia farm environmental diagnostics and analyzes the factors that influence the results of tilapia farm environmental diagnostics and the relationships between farm characteristics and environmental diagnostic results. The items of the tilapia farm environmental diagnostics include chloramphenicol, furazolidone (AOZ, AMOZ, SC, AH), and malachite green. The analyses applied the EU standards using the LC/MS/MS method. Samples of two fishes, water in the pond, water from underground, feed and soil and were taken from 88 tilapia farms. The statistical analysis of the Taiwan’s tilapia farm environmental diagnostics showed that the tilapia farms whose operators had elementary education, located in Chiayi and Yunlin counties, have tilapia farming experience between 1-10 year, whose operators attended training courses, and are members of professional organizations have a higher probability to pass the environmental diagnostics. The Logit model predicts correctly 77.19% and 52.63%, respectively, for the farms that failed and passed the environmental diagnostics. The overall predictive accuracy of the Logit model is 67.36%. In general, Taiwan’s tilapia farms still need to solve the drug residues problems to meet the global food safety requirements.