Application of discrete choice experiment to assess farmers' willingness to report swine diseases in the Red River Delta region, Vietnam
| Autor: | Oanh Cong Nguyen, Marie-Isabelle Peyre, Ton Dinh Vu, Hoa T.T. Pham, Theera Rukkwamsuk, Nicolas Antoine-Moussiaux, Tuyen Quang Trinh |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Adult
Male medicine.medical_specialty Swine 040301 veterinary sciences Decision Making Discrete choice experiment Culling Logistic regression L73 - Maladies des animaux Disease Outbreaks Interviews as Topic 0403 veterinary science 03 medical and health sciences Agricultural science 0302 clinical medicine Rivers Food Animals Environmental protection medicine Animals Humans 030212 general & internal medicine Animal Husbandry Aged Preventive healthcare Swine Diseases Motivation Disease reporting Disease surveillance Farmers River delta geography.geographical_feature_category Outbreak 04 agricultural and veterinary sciences Focus Groups Mandatory Reporting Middle Aged Logistic Models Geography Socioeconomic Factors Vietnam Female Animal Science and Zoology |
| Zdroj: | Preventive Veterinary Medicine |
| Popis: | A discrete choice experiment (DCE) is carried out to value socio-economic factors influencing the farmer's decision to report swine diseases and to assess the willingness of farmers to report swine diseases. Data were collected between March and July 2015 in two provinces in the Red River Delta, Northern Vietnam, from 196 pig producers by face-to face interview. A conditional logit model is used to measure the relative importance of the socio-economic factors and calculate the expected probability of disease reporting under changes of levels of these factors. Results of the study indicated that the likelihood of compensation and the type of culling implemented (all or only unrecovered pigs) are the two most important factors influencing farmer reporting. Compensation level, movement restriction and delay in compensation payment also have significant impacts on farmer's decision to report animal disease but they are not as important as the above factors. Three different scenarios including changes in six different factors (attributes) are tested to predict probability of animal disease reporting. Under the current situation (uncertainty of being compensated), only 4% of the farmers would report swine disease outbreak to the official surveillance system if the culling policy involves all pigs in affected farms. This number is increased to 26% if culling in affected farms is restricted to unrecovered pigs only. Ensuring certainty of compensation increases reporting probability by up to 50% and 90% if all or only unrecovered pigs are destroyed, respectively. The results of this study are important for improving the performance and sustainability of swine disease surveillance system in Vietnam. |
| Databáze: | OpenAIRE |
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