GEOGRAPHICAL RESEARCH ›› 2012, Vol. 31 ›› Issue (2): 257-268.doi: 10.11821/yj2012020006

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Dynamic evolution mode of Regional Dominance Indexes of Chinese inbound tourism flows during 1993 to 2008:An empirical research based on modified entropy technology

LI Chuang-xin1,2, MA Yao-feng1, ZHANG Ying1, WEI Ying1   

  1. 1. College of Tourism and Environment, Shanxi Normal University, Xi'an 710062, China;
    2. China Tourism Academy, Beijing 100005, China
  • Received:2011-04-25 Revised:2011-09-23 Online:2012-02-20 Published:2012-02-20

Abstract: Using entropy technology improved by standardization,Regional Dominance Indexes of Chinese inbound tourism flows of 31 provinces of China's Mainland during 1993 to 2008 are calculated.Through comparison of these indexes of three periods during 1993~2008,which is 1993~1998,1999~2003 and 2004~2008,several conclusions can be drawn as follows. Regional Dominance Indexes of Chinese inbound tourism flows of Guangdong are the highest,so is those of Shanghai and Beijing.As a result,these three provinces become three poles of Chinese inbound tourism.Meanwhile,Regional Dominance Indexes of Chinese inbound tourism flows of Yunnan,Guangxi,Sichuan and Shaanxi are relatively high.Therefore,these four provinces are poles of inbound tourism of western China.Besides,Regional Dominance Indexes of Chinese inbound tourism flows of Inner Mongolia,Heilongjiang and Hubei are high.Hence,these four provinces are hot destinations of inbound tourism of Central China.Thus,regional structure of Regional Dominance Indexes of Chinese inbound tourism flows is prominent.Moreover,it is revealed that the dynamic evolution of Regional Dominance Indexes of Chinese inbound tourism flows is derived from the polarization effect as well as the trickle-down effect,so is the hierarchical diffusion effect.Geographical factors that affect the evolution of Regional Dominance Indexes can be divided into two categories,which are physical geography factors and human geography factors.Furthermore,we have constructed the gradient network structure of Chinese inbound tourism flows,which remains to be optimized and restructured. With entropy technology improved by standardization,this paper analyzes Regional Dominance Indexes of Chinese inbound tourism flows of 31 provinces of China's Mainland during 1993~2008,aiming to explore dynamic evolution model of Regional Dominance Indexes of Chinese inbound tourism flows.In addition,it provides technology support for analyses of characteristics and potential mechanism of spatial and temporal evolutions of Chinese inbound tourism flows.

Key words: Chinese inbound tourism flows, Regional Dominance Index, spatial and temporal regional structure, dynamic evolution mode