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赵娜, 黄毅, 文彩云, 姜雪梅, 贺超. 农户参加林业专业合作社的影响因素分析[J]. 北京林业大学学报(社会科学版), 2017, 16(3): 49-55. DOI: 10.13931/j.cnki.bjfuss.2017008
引用本文: 赵娜, 黄毅, 文彩云, 姜雪梅, 贺超. 农户参加林业专业合作社的影响因素分析[J]. 北京林业大学学报(社会科学版), 2017, 16(3): 49-55. DOI: 10.13931/j.cnki.bjfuss.2017008
ZHAO Na, HUANG Yi, WEN Cai-yun, JIANG Xue-mei, HE Chao. On Factors Affecting Farmers' Willingness to Join Forest-Specialized Cooperatives[J]. Journal of Beijing Forestry University (Social Science), 2017, 16(3): 49-55. DOI: 10.13931/j.cnki.bjfuss.2017008
Citation: ZHAO Na, HUANG Yi, WEN Cai-yun, JIANG Xue-mei, HE Chao. On Factors Affecting Farmers' Willingness to Join Forest-Specialized Cooperatives[J]. Journal of Beijing Forestry University (Social Science), 2017, 16(3): 49-55. DOI: 10.13931/j.cnki.bjfuss.2017008

农户参加林业专业合作社的影响因素分析

On Factors Affecting Farmers' Willingness to Join Forest-Specialized Cooperatives

  • 摘要: 根据2016年全国7省共3 500户样本农户的调研数据, 从农户家庭基本特征、林改相关政策、农户家庭林地经营情况3个方面分析了农户参加林业专业合作社的影响因素。利用二元Logistic模型对集体林权制度改革后影响农户参加林业专业合作社的因素进行实证分析。结果显示, 长期外出打工人数占家庭劳动力数量比例、户主是否从事与林业相关的经营活动、户主是否干部、户主是否接受过林业培训、林业科技服务需求意愿、森林保险的需求意愿、家庭林地面积对农户参加林业专业合作社具有显著影响。

     

    Abstract: According to the survey data of 3 500 households in seven provinces in China in 2016, the influencing factors of farmers' participation in forest-specialized cooperatives were analyzed from three aspects: the basic characteristics of farmers' families, the policy of forest reform, and the forest land management situation of farm households. This paper used a binary logistic model to analyze the factors that affect the farmers' participation in the forest-specialized cooperatives, after the reform of collective forest tenure. The results show the following factors significantly affect the participation willingness of farmers in forest-specialized cooperatives: the proportion of long-term migrant workers to the number of a family's laborers, whether the head of a household is engaged in forest-related business activities, whether the head of a household is cadres, whether the head of a household has received forest technical training, the demand for forestry science and technology service, the demand for forest insurance, and the area of family's forest land.

     

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