摘要
基于华北平原5省467户粮食类家庭农场的调研数据,在资源—能力—环境三要素综合视角下,结合粗糙集和BP神经网络,构建和训练粮食类家庭农场成长的影响因素模型。在此基础上,依据平均影响值,揭示各影响因素的重要程度。结果表明:非常重要的影响因素为融资环境、法律与政策环境、生产设备完善程度和社会化服务环境,其次为农场主受教育程度、管理规章制度规范程度和技术环境,而其他因素的影响则相对较弱。
Based on the research data of 467 grain family farms in five provinces of the North China Plain, and applied rough set theory and BP neural network to find affecting factor model from the perspective of resource-ability-environment. What is more, according to the mean impact value, the important degree of each affecting factor on the growth of grain family farm was revealed. The results showed that the most important factors are financing environment, law and policy environment, improvement of production equipment and social service environment, followed by farmers＇ education, regularization of management rules and technology environment. Influence of other factors is relatively weak.
作者
高杨
李佩
GAO Yang LI Pei(School of Economics, Shandong University, Jinan 250000, China Research Center for Food Safety Co-governance of Shandong Province, Qufu Normal University, Rizhao 276826, China)
出处
《华南农业大学学报（社会科学版）》
CSSCI
北大核心
2017年第3期1-11,共11页
Journal of South China Agricultural University(Social Science Edition)
基金
国家社会科学基金重大项目(14ZDA069)
国家自然科学基金项目(71673167)
教育部人文社会科学研究项目(14YJC790036)
山东省自然科学基金项目(ZR2014GQ012)
关键词
家庭农场
企业成长
粮食安全
融资
family farm
enterprise growth theory
food security
financing
