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基于GEM模型的湖北省农业产业集群竞争力分析
引用本文:陈德刚. 基于GEM模型的湖北省农业产业集群竞争力分析[J]. 安徽农业科学, 2012, 40(32): 15945-15947
作者姓名:陈德刚
作者单位:湖北科技学院经济与管理学院,湖北咸宁,437100
摘    要:概述了农业产业集群和GEM模型的内涵,基于GEM模型,从基础、企业、市场3个方面对湖北省农业产业集群竞争力进行了具体分析。结果表明,在基础方面,湖北省地理位置优越,自然资源丰富,人力资源充足,资金来源多样化,硬件设施和软件设施都在不断完善;企业方面,湖北省农业供应商(农户)相对分散,相关企业组织化程度正在不断提高,企业的结构与战略不断创新;市场方面,湖北省农产品本地市场竞争激烈,外部市场开拓难度大。提出了提升湖北省农业产业集群竞争力的对策建议,一是建设农业产业园,培育重点龙头企业;二是加强各项创新管理;三是加大资金扶持力度。

关 键 词:农业产业集群  GEM模型  竞争力  对策及建议

On Competitiveness of Agricultural Industrial Clusters in Hubei Province Based on GEM Model
CHEN De-gang. On Competitiveness of Agricultural Industrial Clusters in Hubei Province Based on GEM Model[J]. Journal of Anhui Agricultural Sciences, 2012, 40(32): 15945-15947
Authors:CHEN De-gang
Affiliation:CHEN De-gang(School of Economics and Management,Hubei University of Science and Technology,Xianning,Hubei 437100)
Abstract:Firstly,this paper summarizes concept of the agricultural industrial cluster and GEM model.Then,it analyzes the competitiveness of agricultural industrial clusters in Hubei Province from three aspects,namely,the foundation,enterprises and market.In the aspect of the foundation,Hubei province has superior geographical location,rich natural resources,abundant human resources,diversified capital sources,and hardware and software facilities.In the aspect of enterprises,agricultural suppliers(farmers) are relatively scattered in Hubei Province,organizational level of relevant enterprises is constantly improved,and structure and strategy of enterprises are constantly innovated.In the aspect of market,the competition of agricultural products is fierce in local market,and it is difficult to explore external market.Finally,it presents countermeasures for improving the competitiveness of agricultural industrial clusters in Hubei Province,including building agricultural industrial park and cultivating key leading enterprises,strengthening innovation management,and increasing financial support.
Keywords:Agricultural industrial clusters  GEM model  Competitiveness  Countermeasures and recommendations
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