中国品牌经济发展的地区差距与影响因素——基于Dagum基尼系数分解方法与中国品牌500强数据的实证研究

An Empirical Analysis on China's Regional Disparity of Brand Economic Development and Its Influencing Factors:Based on Dagum's Gini Coefficient Decomposition Method and China's 500 Most Valuable Brands from 2004 to 2011

本文使用世界品牌实验室发布的2004-2011年中国品牌500强数据,采用Dagum(1997)的基尼系数方法测算了中国品牌经济发展的地区差距并进行了地区分解,对品牌经济发展地区差距的影响因素进行了实证研究。研究结论表明:总体上中国品牌经济呈现快速发展态势而地区差距在持续扩大。具体而言,中国品牌经济发展的地区差距主要来源于超变密度和地区内差距的贡献,地区间差距虽呈上升趋势但其贡献相对较小。进一步地,动态面板数据的两步法系统GMM估计表明,一个区域内的品牌经济发展存在显著的循环累积效应,市场容量、区位条件对于品牌经济发展具有显著的正向促进作用,而R&D和市场竞争程度对于品牌经济的发展作用因被解释变量的不同而不同,而且在统计上也并不显著。

This article uses the data of China＇ s 500 Most Valuable Brands from 2004 -2011 published by World Brand Laboratory to measure and depict China＇ s regional disparity of brand economy development with Gini coefficient decomposition method by Dagum （1997）. On this basis, the article constructs econometric models to provide empirical evidence for the influencing factors of regional disparity of brand economy development. The results show that ： （ 1 ） 2004 - 2011, China＇ s brand economy overall shows rapid development and China＇s regional disparity of brand economy development continues to expand. （2） Gini Coefficient decomposition shows China＇s regional disparity of brand economy development mainly comes from within intensity of transvariation and within regional disparity, the gap between regions is small,but showing a rising trend in the contribution rate. （3） The estimation of two step system GMM with dynamic panel data shows that brand economy development has a significant cumulative effect and market size ,location condition have a significant impacts on brand economy development, meanwhile the impacts of R＆D and the market competitions depend on explained variables, but not statistically significant.