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民族地区农民对先进农业技术的采纳意愿及其影响因素研究 被引量:1

Farmers'Preference for Advanced Agricultural Technologies in Ethnic Minority Areas and its Influencing Factors
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摘要 通过对民族地区农民对农业先进技术的采纳意愿的444个样本数据进行比较,结果显示出民族地区农民采纳先进农业生产技术的意愿明显低于非民族地区农民。借助于有序Logit回归模型的进一步分析,揭示了个体特征、家庭特征、社区特征以及政策因素等都是影响民族地区农民采纳先进农业生产技术的重要变量。农民在所述因素的多重约束下,通过对相关预期收益和预期成本的计算,产生关于农业先进技术的认知、情感和意向,最后形成他们对待先进农业技术的态度。据此本文提出要着力提升民族地区农民素质、大力完善国家对民族地区的扶持政策、尽力加强民族地区农村社区组织建设等政策建议。 The comparison of 444 samples of farmers'preference for advanced agricultural technologies in ethnic minority regions of China reveals that farmers in these regions are significantly less willing to adopt advanced agricultural technologies than those in non-ethnic regions.The further analysis with the ordered Logit regression model reveals the main factors affecting their preference for advanced agricultural technologies,including individual characteristics,family characteristics,community characteristics,and policy factors,which are all important variables that affect their preference.Under the multiple constraints of the factors mentioned above,farmers will calculate the expected benefits and costs,and form their attitudes towards advanced agricultural technologies based on their understanding and emotions.Accordingly,this paper brings up such policy suggestions as further improvement of the quality of farmers,better support policies and better rural community organizations in ethnic minority regions of China.
作者 黄大勇 谭银清 HUANG Da-yong;TAN Yin-qing(School of Economics and Management,Southwest University,Chongqing 400715,China;School of Management, Yangtze Normal University, Chongqing 408100,China;Socio-Economic and Cultural Research Center of Wu River Basin, Yangtze Normal University, Chongqing 408100,China)
出处 《云南民族大学学报(哲学社会科学版)》 CSSCI 北大核心 2020年第3期60-67,共8页 Journal of Yunnan Minzu University(Philosophy and Social Sciences Edition)
基金 重庆市教委重点项目:“重庆市大学生创业扶持政策绩效评估研究”(17SKG251)阶段成果。
关键词 民族地区 少数民族农民 农业先进生产技术 采纳意愿 ethnic minority regions ethnic minority farmers advanced agricultural technology preference for advanced agricultural technologies
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