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我国各地区连锁经营发展水平的评测
引用本文:张荣齐,王磊,陈晨.我国各地区连锁经营发展水平的评测[J].中国农业大学学报,2003,8(6):81-86.
作者姓名:张荣齐  王磊  陈晨
作者单位:北京联合大学,管理学院,北京,100101
摘    要:为了便于政府对连锁经营企业分类指导及企业制定战略规划,应用模糊评价方法对我国30个地区连锁经营发展水平进行排序,并对排序结果进行了聚类分析,得到4个聚类中心。一类地区连锁经营企业发展速度快.水平高,环境条件好;二类地区大部分位于我国东部沿海,发展速度较快,水平较高,环境条件较好;三类地区整体上属于需要加大改革力度的中西部地区,其发展速度较慢,水平较低,环境条件较差;四类地区由于社会经济条件、自然条件等各种原因,连锁经营发展缓慢。此结果与实际情况相吻合。努力提高一、二类地区连锁经营发展水平,加大对中西部地区连锁经营的引导和支持力度,是我国深化流通体制改革的具体步骤。也是连锁经营走向国际化的一个有效途径。

关 键 词:中国  连锁经营  发展评测  模糊评价  聚类分析
文章编号:1007-4333(2003)06-0081-06
修稿时间:2003年6月3日

Fuzzy evaluation for chains-business levels of different provinces in China
Zhang Rongqi,Wang Lei,Chen Chen.Fuzzy evaluation for chains-business levels of different provinces in China[J].Journal of China Agricultural University,2003,8(6):81-86.
Authors:Zhang Rongqi  Wang Lei  Chen Chen
Abstract:Fuzzy evaluation method was used in the taxis of the development level of the chain business in thirty districts and gained four clustering groups from the analysis of the taxis so as to facilitate the government to instruct the enterprises accordingly and to facilitate the enterprises to establish strategic program. The first group of chain business developed fast with highest standard and the most favorable environment; the second group mostly was located on the eastern coast of China which develop relatively fast with favorable environment; the third group mostly was located in the mid-west where needs the reformation, its development speed was rather slow with lower level and worst environment; the fourth group of chain business develop slow because of natural environment and social economic conditions. The research results conform to the actual condition. Great effort put in the further development of the chain stores of the first and second groups and more instruction and support devoted in the chain stores in the mid-west is the most realistic strategy in the further reform of the circulation mechanism in China, and is also an effective way of entering the international market for franchise trade.
Keywords:fuzzy evaluation  clustering method  chains-business levels
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