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甘肃省小农户农业社会化服务需求影响因素分析——基于360个样本农户的调查

Analysis of Factors Influencing the Demand for Agricultural Socialization Services of Smallholders in Gansu Province——A Survey Based on 360 Sample Farms
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摘要 农业社会化服务是推动农业现代化的重要举措,本研究立足于甘肃省360份小农户的调查数据,运用二元logistic回归模型,分析小农户对农业社会化服务的需求,探究其需求的影响因素。结果表明,目前小农户最需要的服务是农资供应、农机生产和农业保险服务;农户个人特征、农户家庭基本情况、农户生产经营情况、农业外部环境均对农户农业社会化服务需求产生影响。因此我们提出强化农业培训,提高农户认知水平、大力发展农民专业合作社,发挥合作社积极作用、政府加强扶持力度,提高农户积极性、扩展农业社会化服务提供主体,促进良性竞争等建议。 Agricultural socialization service is an important initiative to promote the modernization of study based on the survey data of 360 small farmers in Gansu Province,uses binary logistic regression model to analyze the demand of small farmers for agricultural socialization services,and explore the factors affecting their demand.The results show that the services mostly needed by small farmers at present are the supply of agricultural materials,the production of agricultural machinery and agricultural insurance characteristics of the individual farmers,the basic situation of farmers'families,the production and management situation of farmers,and the external agricultural environment all have an impact on the demand for agricultural socialization services.Therefore,we propose to strengthen the training in agriculture and improve the cognitive level of farmers,vigorously develop farmers'professional cooperatives,and play a positive role in cooperatives,strengthen the support of the government to increase the enthusiasm of farmers,and expand the main bodies of the provision of agricultural socialized services to promote benign competition.
作者 唐路 雷虹 Lu Tang;Hong Lei(College of Finance and Economics,Gansu Agricultural University,Lanzhou,Gansu,730070,China;Gansu Provincial Institute for Drug Control,Lanzhou,Gansu,730070,China)
出处 《管理科学与研究(中英文版)》 2024年第1期49-56,共8页 Management Science and Research
基金 基于规范种植的岷县黄芪泡敷产品开发与研究——助力药监系统帮扶岷县岷人为膳科技实业有限公司产业振兴支持资助(2023GSMPA074)。
关键词 小农户 农业社会化服务 农户需求 二元logistic回归模型 影响因素 Smallholders Agricultural Socialization Services Farmers'Demand Binary Logistic Regression Model Influencing Factors
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