Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear model
Resource basis, ecosystem and growth of grain family farm in China: Based on rough set theory and hierarchical linear model
复制标题
中国粮食家庭农场的资源基础、生态系统与成长：基于粗糙集理论和递阶线性模型
DOI：
10.1016/j.agsy.2017.03.013
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发表时间：
2017-06-01
影响因子：
6.6
通讯作者：
Lu, Jiao
中科院分区：
文献类型：
--
作者：
Gao, Yang;Zhang, Xiao;Lu, Jiao
基于资源基础理论和企业生态系统理论，以黄淮海平原487个粮食家庭农场为样本，在粗糙集理论属性约简的基础上，将个体层面和省级重要因素引入层次线性模型，揭示影响粮食家庭农场增长的不同层次因素的结构差异和交互作用。结果显示，个体层面因素造成的差异占65.68%，省级因素造成的差异占34.32%。个体层面的生产设备改进（WE）、农民受教育程度（EOF）、管理规则规范化（RMR）、贷款难度（DLL）等因素对家庭农场的发展产生正向影响，而员工参加培训的频率（FST）则产生负向影响。在省级层面，完善支持政策体系（IDSPS）可以加强RMR与家庭农场增长的正相关性。此外，IDSPS因子与农业合作社提供社会服务的能力（AACPS）和技术获取渠道的宽敞程度（SDTAC）相结合，可以增强EOF与家庭农场增长的正相关性，并减少FST与因变量的负相关性。研究结果建议,政府应支持农场改善生产装备和融资模式、转变种粮家庭农民再教育方式、推进种粮家庭农场标准化建设、建立健全政策支持体系、提高农业合作社社会服务能力、拓宽技术获取渠道等。
Based on resource-based theory and enterprise ecosystem theory, this paper used the sample of Huang-huai-hai plain 487 grain family farms, in the basis of attribute reduction by rough set theory, introduce the important individual-level and provincial-level factors into hierarchical linear model, in order to reveal different level factors affect growth of grain family farm in structural differences and interaction. The results showed that 65.68% of the differences were caused by individual-level factors, and 34.32% were caused by provincial-level factors. The factors at the individual level, including the improvement of production equipment (WE), education of farmers (EOF), regularization of management rules (RMR), and difficulty level of getting loans (DLL), had positive effects on growth of family farm, whereas the frequency of staff participating in training (FST) had a negative effect. At provincial level, improvement of the support policy system (IDSPS) could strengthen the positive correlation between RMR and growth of family farm. Moreover, the factor IDSPS combined with ability of agricultural cooperatives providing social services (AACPS) and spacious degree of technology access channel (SDTAC) could strengthen the positive correlation between EOF and growth of family farm, and reduced the negative correlation between FST and dependent variable. The results suggested that government should support farms to improve production equipment and financing pattern, transfer the method of re-education of grain family farmers, promote the standardization of grain family farms, establish a sound policy support system, improve the social service ability of agricultural cooperatives, and broaden the channels of technology acquisition.