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广东省江门地区农户新技术采用行为影响因素分析——以水稻“三控”施肥技术采用为例 被引量:16

Influence factors on new technology adoption behavior of farmers in Jiangmen area of Guangdong Province——Taking“Three Controls”technology for rice as an example
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摘要 【目的】深入了解广东省江门地区农户对新技术采用行为的主要影响因素,探索未来江门地区乃至广东省新技术推广工作的努力方向。【方法】以水稻"三控"施肥技术为例,以江门地区404个农户的调查数据为依据,通过Logistic回归模型对农户技术采用行为的影响因素进行定量分析。【结果】在广东省江门地区农户新技术采用行为影响因素中,技术接受难易程度、采用"三控"技术比传统种植的增产量、参加农技培训班次数、培训班对农户帮助情况与农户采用新技术的意愿呈显著正相关,尤其是技术接受难易程度、采用"三控"技术比传统种植的增产量与农户采用新技术的意愿达到了极显著水平,男性在新技术采用中起着决策的主导力量。【建议】应创新技术培训内容和方式、加强示范展示基地建设、加快农民专业合作社发展、加强政府引导和支持力度,以提高农民新技术采用率,促进农业新技术的推广。 [Objective]The main influence factors on new technology adoption behavior of farmers in Jiangmen area of Guangdong were analyzed to explore the direction of popularizing agricultural technique in future. [Method] "Three Controls" technology for rice was used as an example. Based on the survey data of 404 farmers in Jiangmen area, the factors affecting technology adoption behavior of farmers were quantitatively analyzed using Logistic regression model. [Result]The results showed that the agriculture technology acceptance degree, new increased yield, times of participating in training and help from training course were significantly positively correlated with farmers" behavior of adopting new technology. Especially the technology acceptance degree and new increased yield reached extremely significant level. The male played a leading role in decision-making in the adoption of new technology. [Suggestion]To improve the adoption rate of new technology by farmers and promote new agricultural technology extension, a series of suggestions are innovating technology training content and methods, strengthening the construction of demonstration base, accelerating the development of specialized farmers coopera- tives, and intensifying government guidance and support.
出处 《南方农业学报》 CAS CSCD 北大核心 2014年第1期153-159,共7页 Journal of Southern Agriculture
基金 2012年省级现代服务业发展引导专项资金项目(粤经信生产[2012]883号) 广东省专业镇建设项目(粤科规划字[2011]114号)
关键词 新技术 采用行为 影响因素 对策 LOGISTIC回归模型 江门地区 new technology adoption influence factor strategy Logistic regression model Jiangmen area
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