基于SOM神经网络的河北省农村经济结构与经营结构地区差异  

Study on regional differences of rural economic structure and organizational forms in Hebei province based on SOM neural network

作　　者：张永礼[1] 安海岗[1] 陆刚[1] 

机构地区：[1]石家庄经济学院管理科学与工程学院,河北石家庄050031

出　　处：《广东农业科学》2015年第7期168-172,F0003,共6页Guangdong Agricultural Sciences

基　　金：河北省软科学研究计划项目(15457402D);石家庄经济学院青年科技基金(QN201507)

摘　　要：农村经济结构优化是农村经济增长的关键,经营结构是有效组织分散经营农户、发挥农民经济结构调整主体作用的根本途径。使用SOM神经网络模型,对河北省2012年11个地级市的农村经济收入进行了分类,分析了河北省农村经济结构和经营结构的地区差异。结果表明:河北省农村经济结构以工业和农业收入为主,总体可分为廊坊、冀中南、冀北、冀东4类地区;商饮业、运输业、建筑业对冀北和冀东地区农村经济结构具有重要影响;河北省农村经营结构以家庭经营、其他经营和乡(镇)办企业经营形式为主,总体可分为3类地区;廊坊市农村地区基本实现工业化,且以家庭经营形式为主。Economic structure optimization is the key to rural economic growth. Organizational forms can organize dispersive farmers to play main role in the adjustment of economic structure. By using SOM neural network model,this paper analyzed the differences of rural economic structure and organizational forms in Hebei province. The results show that the rural economic income mainly comes from industry and agriculture. In economic structure,Hebei province can be divided into Langfang areas,central and southern areas,northern areas,eastern areas. Catering industry,transport industry and construction industry have important impacts on rural economy in Hebei northern and eastern areas. The organization mainly includes family management mode,other management mode and township enterprises management mode. In organizational forms,Hebei province can be divided into three areas. In Langfang rural areas,industrialization has been basically achieved and the main organization form is family management mode.

关 键 词：SOM神经网络 农村经济结构 行业结构 经营结构 

分 类 号：F328[经济管理—产业经济]