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广义城市商圈竞争力评价指标体系构建与实证研究

Evaluation Index Construction and Empirical Research on Competitiveness of Generalized Trade Area
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摘要 按照竞争力来源,将影响广义城市商圈竞争力的因素,分为区位要素、规模要素、品牌要素、业态要素,运用取层次分析法对广义城市商圈竞争力进行了分析。进一步运用因子分析法,提出了广义城市商圈资产因子和人口因子,算出了全国31个省会城市的城市商圈竞争力的单项得分和综合得分,并进行了排名和聚类。按竞争力分为四类,第一大类是北京、上海具有最强竞争力的广义城市商圈,第二大类是天津、广州、重庆、成都的广义城市商圈,第三大类主要是中东部地区城市的广义城市商圈,第四大类主要是西部地区城市的广义城市商圈。最后指出广义城市商圈资产因子和人口因子是提升广义城市商圈竞争力的关键。 According to the source of competitiveness, the factors affecting competitiveness of urban trade area are divided into location factors, scale factors, brand factors and industry status factors. AHP method is applied to analyze the competitiveness of generalized urban trade area. Application factor analysis, we proposed asset factor and population factor of generalized urban trade area. We calculated single scores and comprehensive scores of 31 provincial capital cities on competitiveness on generalized urban trade area, and then ranked and clustered. According to the competitiveness, it can be divided into four kinds. The first kind is Beijing and Shanghai, which has the strongest competitiveness in generalized urban trade area. The second kind is the generalized urban trade area in Tianjin, Guangzhou, Chongqing and Chengdu. The third kind is the generalized urban trade area in the central and eastern regions, and the fourth kind is the generalized urban trade area in the western regions. Finally, this article points out that asset factor and population factor are the key factors to enhance the competitiveness of generalized urban trade area.
作者 吴忠才 WU Zhong-cai(College of Economic and Management, Hunan Institute of Science and Technology, Yueyang,Hunan, 414006, China)
出处 《广义虚拟经济研究》 2018年第4期73-81,共9页 Research on the Generalized Virtual Economy
基金 广义虚拟经济研究专项资助项目[项目编号:GX2010-1010(Y)] 国家社科基金项目(12CJY069)资助
关键词 广义城市商圈 竞争力 评价指标 实证研究 generalized urban trade area competitiveness evaluation index empirical research
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