农业产业集群与农产品区域品牌的互动关系

Yuliana Shi
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引用次数: 1

摘要

:本文的目的是基于中国是农业大国,但农业产业集群仍处于世界价值链末端的事实,探讨构建农业集群区域品牌的命题,为集群转型升级提供理论依据和实践指导。通过对农产品品牌竞争力的分析,指出农业产业集群发挥的主要作用,并在未来的发展过程中,逐步将农产品区域品牌转化为企业品牌,提升区域品牌的科技含量,进而提升农产品区域品牌竞争力。本文探讨了农业产业集群发展与农产品区域品牌培育之间的互动关系,并根据区域品牌培育的不同阶段,进一步建立了相应的博弈模型。事实证明,农业区域品牌作为一种公共产品,在形成和运营过程中往往面临投资主体缺乏、品牌形象受损的问题。通过实验博弈分析结论和案例实证检验,本文对数据提出了两种构建农产品区域品牌和维护农产品区域品牌的策略:kmo和Bartlett球性检验。前者提升了69%的农业产业集群的规模增长,发挥了各参与者的作用;后者提升了78%的区域农产品的质量要求,完善了农业区域的品牌保护体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Interaction between Agricultural Industrial Clusters and Regional Brands of Agricultural Products
: The purpose of this paper is to explore the proposition of building regional brand of agricultural cluster, based on the fact that China is a large agricultural country, but the agricultural industry cluster is still at the end of the world value chain, so as to provide theoretical basis and practical guidance for the transformation and upgrading of the cluster. Through the analysis of the brand competitiveness of agricultural products, the main role played by the agricultural industry cluster, and in the future development process, gradually transform the regional brand of agricultural products into enterprise brand, enhance the scientific and technological content of regional brand, and then enhance the regional brand competitiveness of agricultural products. This paper discusses the interactive relationship between the development of agricultural industry cluster and the cultivation of regional brand of agricultural products, and further establishes the corresponding game model according to the different stages of the establishment of regional brand. It proves that the agricultural regional brand, as a public product, often faces the problem of the lack of investment subjects and the damage of brand image in the process of formation and operation. Through the experimental game analysis conclusion and case empirical test, this paper puts forward two kinds of strategies to build regional brand and maintain regional brand of agricultural products, kmo and Bartlett sphericity test on the data. The former improves the scale growth of 69% of agricultural industry clusters and plays the role of each participant, The latter improves the quality requirements of 78% of regional agricultural products and improves the brand protection system of agricultural regions.
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