基于Probit-ISM模型的稻农农业技术采用影响因素分析——以湖北省320户稻农为例

发布时间：2018-05-11 21:37

  本文选题：农业技术采用 + 影响因素　； 参考：《数理统计与管理》2016年01期

【摘要】：稻农对不同农业技术的采用能够促进其推广应用。基于湖北五市320户稻农的调研数据,利用二元Probit模型和ISM模型,分别探讨了稻农采用新品种技术、病虫害防治技术、机械化技术的影响因素及其层次结构。研究结果表明:是否参加农业保险、国家粮食补贴金额、水稻种植规模、家庭人均年收入、种粮积极性、家庭人口数量显著影响稻农采用新品种技术。其中,种粮积极性和家庭人口数量是深层根源因素;水稻种植规模、对粮补政策态度、国家粮食补贴金额、年龄、家庭人口数量、家庭人均年收入显著影响其病虫害技术采用。其中,年龄、家庭人口数量和家庭人均年收入是深层根源因素;国家粮食补贴金额、水稻种植规模、性别、健康状况、农业保险、是否兼业显著影响其机械化技术采用。其中,性别、健康状况、是否兼业和农业保险是深层根源因素。
[Abstract]:The adoption of different agricultural techniques by rice farmers can promote their popularization and application. Based on the investigation data of 320 rice farmers in five cities of Hubei Province, the influence factors and hierarchical structure of rice farmers adopting new variety technology, pest and disease control technology and mechanization technology were discussed by using binary Probit model and ISM model. The results showed that the participation of agricultural insurance, the amount of state grain subsidy, the scale of rice planting, the average annual income of the family, the enthusiasm of growing grain, and the number of the family population significantly affected the rice farmers to adopt the new variety technology. Among them, the enthusiasm of grain planting and the number of family population are the deep root factors, the scale of rice planting, the attitude towards grain supplement policy, the amount of national grain subsidy, age, the number of family population, and the annual income of family per capita significantly affect the adoption of diseases and insect pests. Among them, age, the number of family population and the average annual income of the family are the deep-rooted factors; the amount of national grain subsidy, rice planting scale, sex, health status, agricultural insurance, whether or not the concurrent industry significantly affect the mechanization technology adoption. Among them, gender, health status, whether concurrent employment and agricultural insurance are the underlying root factors.
【作者单位】： 华中农业大学经济管理学院;湖北农村发展研究中心;
【基金】：国家社科重点项目(11AZD107) 国家科技计划支撑项目(2012BAD04B12) 比尔·梅琳达盖茨基金项目(51587-3) 中央高校基本科研业务费专项资金资助(2012MBDX001)
【分类号】：S511;F326.11
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本文编号：1875733