The exploration of financial impacts among three stakeholders during the 2016 Foot-and-Mouth Disease Outbreak in a Dairy Cooperative, Chiang Mai province, Thailand

• Main Authors: Wilasinee Jongthanachote, Manthita Poontrakulkeat, Kwankla Mungthisarn, Anuwat Wiratsudakul, Sineenard Jiemtaweeboon, วิลาสินี จงธนโชติ, มัณฑิตา พูนตระกูลเกียรติ, ขวัญกล้า มังธิสาร, อนุวัตน์ วิรัชสุดากุล, สินีนาถ เจียมทวีบุญ
• Other Authors: Mahidol University. Faculty of Veterinary Science
• Format: Article
• Language: English
• Published: 2020
• Subjects: Dairy cattle, Economics; FMD; Modeling; Thailand; โคนม; เศรษศาสตร์; โรคปากและเท้าเปื่อย; แบบจำลอง; ประเทศไทย; Journal of Applied Animal Science
• Online Access: https://repository.li.mahidol.ac.th/handle/123456789/60638
• Institution: Mahidol University

Foot-and-mouth disease (FMD) leads to a huge impact to dairy farmers as milk selling is not allowed during the outbreak. This study thus aimed to estimate the economic impact of FMD outbreaks in a dairy cooperative located in Chiang Mai province, Thailand. We explored economic losses in three different categories including farmers, dairy cooperative and governmental authority. A multiple linear regression model was employed to identify the key factors that contribute to the financial impacts. Our results reveal that farmer losses were resulted from milk selling prohibition, treatment service and their supplies. The loss per cow was approximated at 33.9 USD resulting in the total loss of 31,120.25 USD. During the outbreaks, the cooperative spent some expenses on farmer compensation, overtime wages, laboratory testing, together with the loss due to raw milk reduction and decline on selling goods. The impact on this sector was around 3,725.44 USD. At the provincial DLD office, veterinary authority needed to set up animal checkpoints during the outbreak and carried out laboratory testing for suspected samples. The cost of these control measures was 2,466.58 USD. In total, the financial impact of the 2016 FMD outbreak in this certain cooperative was estimated at 37,312.27 USD. According to our model, the key parameters that can predict the economic impact were milk income, fuel cost and feed cost (R2 = 0.88). We anticipate that our model may help to raise awareness on these economic impacts and manage the identified factors during the course of the outbreaks.