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Application of discrete choice experiment to assess farmers’ willingness to report swine diseases in the Red River Delta region, Vietnam

机译:应用离散选择实验评估越南红河三角洲地区农民报告猪病的意愿

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摘要

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.
机译:进行了一项离散选择实验(DCE),以评估影响农民决定报告猪疾病的社会经济因素,并评估农民报告猪疾病的意愿。通过面对面访谈,从196个生猪生产商收集了2015年3月至7月在越南北部红河三角洲两个省的数据。有条件的logit模型用于测量社会经济因素的相对重要性,并计算在这些因素水平变化下疾病报告的预期可能性。研究结果表明,补偿的可能性和实施的剔除类型(全部或仅未恢复的猪)是影响农民报告的两个最重要因素。补偿水平,迁徙限制和补偿付款的延迟也对农民报告动物疾病的决定产生重大影响,但并不像上述因素那么重要。测试了包括六个不同因素(属性)变化在内的三种不同情况,以预测动物疾病报告的可能性。在当前情况下(不确定获得补偿),如果扑杀政策涉及受影响农场中的所有猪,只有4%的农民会向官方监测系统报告猪疫病暴发。如果在受影响的农场中仅对未回收的猪进行扑杀,则该数字将增加到26%。如果销毁所有或仅未恢复的猪,确保补偿的确定性可使报告可能性分别提高50%和90%。这项研究的结果对于提高越南猪病监测系统的性能和可持续性具有重要意义。

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