| 都市农业农户科技信息服务需求的影响因素分析——以天津设施种植业为例 |
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| 引用本文： | 王晓蓉,贾宝红,马雪,信丽媛,王丽娟.都市农业农户科技信息服务需求的影响因素分析——以天津设施种植业为例[J].中国农学通报,2015,31(25):273-276. |
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| 作者姓名： | 王晓蓉 贾宝红 马雪 信丽媛 王丽娟 |
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| 作者单位： | 天津市农业科学院信息研究所,天津市农业科学院信息研究所天津300192,天津市农业科学院信息研究所天津300192,天津市农业科学院信息研究所天津300192,天津市农业科学院信息研究所天津300192 |
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| 基金项目： | 天津市科技支撑项目“天津市农村新型综合信息服务系统研究与示范”(12ZCZDNC02000) |
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| 摘 要： | 以天津设施种植业为例,在实地调研和问卷调查的基础上,运用二项逻辑斯谛回归模型分析了都市农业农户对科技信息服务需求意愿的影响因素。研究结果表明:农户对科技信息服务的需求大,同时,农户特征因素(学历)、技术诱导因素(家庭收入、设施类型、长期种植人数)、信息来源因素(信息渠道多样性、参加培训讲座次数)、农户主观因素(废物处理技术关注度、优质化肥农药关注度)均对农户科技信息服务需求有显著影响。据此提出组建多元化的农业科技信息服务队伍,兼顾信息服务内容的实用性与前瞻性,创新多层、多维的信息服务模式等对策建议。
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| 关 键 词： | 都市农业 农户 科技信息服务需求 影响因素 二项逻辑斯谛回归 天津 |
| 收稿时间： | 2015/4/22 0:00:00 |
| 修稿时间： | 2015/7/20 0:00:00 |
Analysis on the Factors of Urban Agriculture Farmers Demand for Technology Information Services: Based on the Statistics of Facilities Farming in TianjinWang Xiao-rong, Jia Bao-hong, Ma-xue, Xin Li-yuan, Wang Li-juan |
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| Abstract: | Science and technology information services are the effective way to enhance scientific and technological support for urban agriculture. On the basis of field research and surveys about Tianjin facilities farming, using binary logistic regression model analyzed the influencing factors of urban agriculture farmers for technological information services desire. The results show that: Farmers have a big demand for science and technology information service, meanwhile, farmers characteristic factors (education), technology-induced factors (family income, type of facility, the number of long-term cultivation), sources of information factors (information channel diversity, the number of training seminars ), and farmers subjective factors (waste treatment technologies attention, quality attention, fertilizer and pesticides) have a significant impact on science and technology information service demand, and accordingly we put forward some suggestions to enhance the level of science and technology information services. |
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| Keywords: | urban agriculture science and technology information services demand influencing factors binary logistic regression Tianjin |
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