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中国连锁零售业区域差异测度及影响因素研究

发布时间:2018-06-16 04:19

  本文选题:连锁零售业 + 基尼系数 ; 参考:《厦门大学》2014年硕士论文


【摘要】:在经济全球一体化不断深化的背景下,中国政府在2004年取消了外商资本对连锁零售业的限制,对外开放力度的不断加强,国外连锁零售巨头相继进驻中国连锁零售业市场,在一定程度上促进了连锁零售业的快速发展,人均连锁零售销售额由2004年的431.22元增加到2012年的2630.94元,提高了610%。但在连锁零售业迅猛发展的同时,我国地区间连锁零售业市场区域发展的不均衡现象非常突出。因此,本文以我国区域间连锁零售业的差异为研究对象,综合运用理论分析和实证研究相结合的方法,对我国连锁零售业市场区域差异程度、区域分布形势、影响因素以及应对措施进行研究。 本文通过从企业、市场、消费者三个角度对连锁零售业区域差异程度和动态趋势进行定量测度,基尼系数以及组群分解结果表明,连锁零售业区域差异程度从2004—2012年出现了微弱下降的趋势,但维持在较严重的水平,组间差异是区域差异的主要原因。 本文基于2004—2012年间省级面板数据,利用面板数据聚类分析方法对我国连锁零售业发展状况进行区域划分,依据连锁零售业区域发展程度我国可划分为“领先区”、“发达区”、“发展区”、“落后区”四类,实现区域划分的一致性,降低了划分区域内的组内差异,便于制定具有针对性的区域发展战略。在聚类划分的基础上建立面板计量模型对影响因素分区域进行实证分析。研究结果表明,第三产业发展水平、经济实力、交通基础设施以及对外开放水平的区域差异依次是导致连锁零售业区域发展不均衡的主要原因。 最后针对我国地区间连锁零售业发展不均衡的主要问题,提出了促进连锁零售业区域均衡发展的政策建议。连锁零售业区域协调发展的重点是“发展区”和“落后区”,要实施区域经济协调发展的战略,“发展区”要加快第三产业结构调整和升级,提高公共车辆的供给水平,加强外资的引进;“落后区”要大力发展制造业同时鼓励第三产业发展,加快道路等基本设施的建设,加强与内陆邻国和其他区域的合作交流。
[Abstract]:Under the background of the deepening of economic globalization, in 2004, the Chinese government lifted the restrictions of foreign capital on chain retailing, and the intensity of opening to the outside world has been strengthened. Foreign chain retailing giants have been stationed in China's chain retail market one after another. To some extent, it has promoted the rapid development of retail chain, the per capita retail sales increased from 431.22 yuan in 2004 to 2630.94 yuan in 2012, an increase of 610 yuan. However, with the rapid development of chain retailing, the imbalance of regional development of interregional retail market in China is very prominent. Therefore, this article takes the regional retail chain retail as the research object, synthetically uses the theory analysis and the demonstration research unifies the method, to our country chain retailing market regional difference degree, the regional distribution situation, The influencing factors and countermeasures were studied. This paper quantitatively measures the regional difference and dynamic trend of retail chain from three angles: enterprise, market and consumer. The results of Gini coefficient and cluster decomposition show that, The regional difference of chain retailing showed a slight downward trend from 2004 to 2012, but maintained at a more serious level, and the main reason for the regional difference was inter-group differences. Based on the provincial panel data from 2004 to 2012, this paper uses the panel data cluster analysis method to divide the development of chain retail industry in China. According to the regional development level of chain retail industry, China can be divided into "leading areas". "developed areas", "development areas" and "backward areas" can achieve the consistency of regional division, reduce the intra-group differences in the division of regions, and facilitate the formulation of targeted regional development strategies. On the basis of clustering, the panel econometric model is established to analyze the influencing factors. The results show that the regional differences of tertiary industry development, economic strength, transportation infrastructure and opening to the outside world are the main reasons leading to the regional development of chain retail industry. Finally, aiming at the main problems of the unbalanced development of the regional chain retailing in China, the paper puts forward some policy suggestions to promote the regional balanced development of the chain retailing. The focal point of regional coordinated development of chain retailing industry is "development area" and "backward area". To implement the strategy of coordinated regional economic development, "development area" should speed up the adjustment and upgrading of tertiary industry structure and improve the supply level of public vehicles. To strengthen the introduction of foreign capital, the "backward areas" should vigorously develop the manufacturing industry and encourage the development of the tertiary industry, speed up the construction of basic facilities such as roads, and strengthen cooperation and exchanges with neighboring inland countries and other regions.
【学位授予单位】:厦门大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F724.2

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