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我国体育产业发展的省际时空差异研究
引用本文:熊奕铭,王良健.我国体育产业发展的省际时空差异研究[J].成都体育学院学报,2012,38(4):39-43.
作者姓名:熊奕铭  王良健
作者单位:湖南大学经济与贸易学院,湖南长沙,410079
摘    要:以全国31个省份2003-2009年体育产业数据为基础,在引用空间因素分析前提下,运用区域控制Kernel密度估计法和马尔科夫链法,对我国体育用品制造业和体育服务业省际差异及其位序规模进行了时空动态分析。从时间动态视角看,各省区体育服务业演进存在集中趋势,而体育用品制造业演进呈分散趋势;从空间动态视角看,"近邻效应"对区域的体育产业发展演进有关联影响;从数据的位序规模相关系数的回归分析中,发现我国省份的体育产业规模符合位序规模分布。并在此基础上提出相应的产业发展对策。

关 键 词:中国  体育产业  Kernel密度估计  马尔科夫链  位序规模分布

Spatiotemporal Differences of China' s Sports Industry Development on Provincial Basis
XIONG Yi-ming , WANG Liang-jian.Spatiotemporal Differences of China' s Sports Industry Development on Provincial Basis[J].Journal of Chengdu Physical Education Institute,2012,38(4):39-43.
Authors:XIONG Yi-ming  WANG Liang-jian
Institution:2(Hunan University,Changsha Hunan 410079)
Abstract:Based on the 2003-2009 data of sports industry in 31 provinces in China,the paper,depending on spatial factors as its premise,Kernel density estimation of regional control and Markov chain,conducts a spatiotemporal dynamic analysis of the provincial differences and sequence scales of China’s sporting goods manufacturing industry and sports service industry.From the perspective of temporal dynamics,there is a tendency for the sports service industry of different provinces and regions to concentrate and for sporting goods manufacturing industry to scatter.From the perspective of spatial dynamics,"neighbor effect" influences the development of the regional sports industry.The regression analysis of the sequence scales reveals that the scale of provincial sports industry is consistent with the corresponding distribution of sequence scales.The paper thus suggests some corresponding countermeasures.
Keywords:China  sports industry  Kernel density estimation  Markov chain  distribution of sequence scale
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