养殖户布鲁氏菌病防控私人投入意愿调查及影响因素分析
Multiple Linear Regression Analysis on Farmers’ Willingness to Invest in Brucellosis Prevention and Control
  
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中文摘要:
      为了解我国布鲁氏菌病流行省份养殖户布鲁氏菌病防控私人投入意愿及其影响因素,采用多阶段抽样方法,对我国大陆地区7个省份的羊养殖户进行问卷调查,收集人口学特征、养殖行为、布鲁氏菌病防控“知信行”等资料,通过显示偏好法,对养殖户私人投入意愿进行统计描述,并采用多重线性回归模型,分析影响因素。结果显示:养殖户布鲁氏菌病防控私人投入意愿平均为0.053±0.060,投入意愿受年龄、文化程度、养殖规模、养殖收入占比、布鲁氏菌病知识掌握程度、支持扑杀政策等因素影响,标准化偏回归系数分别为0.022、0.008、0.087、0.046、0.013和?0.068。结果表明:养殖户布鲁氏菌病防控私人投入意愿受多种因素影响;针对影响因素调整防控政策,有助于提高私人投入,对布鲁氏菌病防控具有积极意义。
英文摘要:
      In order to recognize the farmers' willingness to invest in brucellosis prevention and control in the epidemic provinces,and to explore the risk factors,the multistage sampling method was used to conduct a questionnaire survey for sheep farmers in 7 provinces of mainland China,and the related data were collected,such as demographic characteristics,raising status,as well as the knowledge,attitudes,and practices in the brucellosis prevention and control. By the revealed preference method,the farmers' willingness was statistically described,and multiple linear regression model was used to analyze the influence factors. Results showed that,the average willingness to invest in brucellosis prevention and control among farmers was 0.053±0.060. The willingness was affected by factors such as age,education level,herd size,proportion of raising income,mastery of knowledge related to brucellosis and attitudes towards the culling policy,and their standardized partial regression coefficients were 0.022,0.008,0.087,0.046,0.013 and ?0.068,respectively. As a conclusion,the farmers'willingness to invest in brucellosis prevention and control was affected by many factors. Adjusting the prevention and control policies according to influence factors would help to increase the private investment willingness of farmers,and it would have positive significance for brucellosis prevention and control.
作者单位
曾恒,孙向东,刘平,徐全刚,高璐,李娟,康京丽,王幼明,游士兵,黄保续  
中文关键词:  布鲁氏菌病  投入意愿  影响因素  显示偏好法  多重线性回归
英文关键词:brucellosis  willingness to invest  influence factors  revealed preference method  multiple linear regression
基金项目:国家重点研发计划项目(2016YFC1201304)
DOI:10.3969/j.issn.1005-944X.2018.10.002
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