| The tourism law of the people’s republic of China was performed on October 1, 2013. The new stage of ruling the tourism according to the law is coming. In the national economy, tourism industry is a strategy pillar industry, the economical, social functions of tourism industry have been valued and used by our society, and the status of tourism industry in it is more and more solid. Inbound tourism industry is an important part of tourism industry, and it plays the key role in improving the structure of tourism industry and promoting the stable coordinated development of tourism. The tourism development is at a high speed and also followed by some problems. As the structure of tourism supply and demand is out of balance, or the regional development is imbalance and so on. The interaction relationship between tourism supply and demand is mainly reflected as the situation of coordinated development between tourism flows and tourism destination subsystems.Quantitative and qualitative analysis can be made on the coupling coordination development of tourism flows and tourism destination by using the coupling coordination theory and the coupling coordination pattern for reference. Therefore, under grey system theory and the coupling coordination theory,this article takes Beijing, Shanghai, Guangzhou, Kunming, Chengdu and Xi’an as cases to take judgment for the coordinated development pattern of inbound tourism flows and tourism destination by grey relational grade analysis; to find the different roles in coupling development of the destination of each subsystem of tourism destination; to get a comparative analysis of generality and difference between the inbound tourism development of six cities.The main study considerations:①based on the previous studies and take the objectives into account to construct the coupling coordination degree pattern and evaluation system of inbound tourist flows and tourism destination.②take the quantitative and qualitative analysis on the coordinated development of inbound tourist flows and tourism destination of the six cities, to know the level of coordinated development of inbound tourism in six cities, and start from the inbound tourism and tourism destination systems, use the system comprehensive development level evaluation pattern to calculate the comprehensive index of inbound tourism and tourism destination, to measure the current situation of inbound tourism comprehensive development in six cities.③under the guidance of grey system theory, take use of the grey correlation degree pattern, to calculate grey correlation degree and take judge of the coupling development pattern between inbound tourism and tourism destination of the cases, and take analysis of classified development pattern of six cities.The main Conclusions as follows:(1) The momentum of coupling coordination development of inbound tourism flows and tourism destination in six cities was from the brink of disorder to the good coordinationFrom 2000 to 2012, as the representative cities of development of China’s inbound tourism, the coupling coordination development between inbound tourist flows and tourism destination in Beijing, Shanghai, Guangzhou, Kunming, Chengdu and Xi’an was from the brink of disorder to the good coordination. Especially in 2012, the situation of development between inbound tourist flows and tourism destination system in Guangzhou, Chengdu and Xi’an was high-quality coordination. This shows that the inbound tourism market was more normalized in the developed cities in east and west cities in our country, the development of inbound tourism was becoming more and more mature, tourism demand and tourism destination supply gradually realizes the benign coupling trends.(2) The time sequence regularity for change of inbound tourism flows comprehensive development level in six cities of our country is obviousFigure out the comprehensive development level of inbound tourism flows in six cities by introducing system comprehensive development level evaluation pattern, the results:the comprehensive development level of Beijing inbound tourism flows is of high starting point, and the rising tendency is stable and slow; the increment speed of comprehensive development level of inbound tourism flows of Shanghai and Guangzhou is stable and rapid, and the inbound tourists’ consumption is an important driving force for inbound tourism of the two cities; Kunming, the frontier city, the average travel rate of main tourists source countries is the main index of comprehensive development level of inbound tourism flows; the level of comprehensive development of inbound tourism of Chengdu City is from the slow growth of prophase to rapid growth of tourism, more and more tourists want to travel to Chengdu; the growth speed of comprehensive development level of Xi’an is moderate, the per capita residence time is the key index to measure the level of inbound tourism flow’s comprehensive development.(3) The traffic and location index has become one of the most important factors to promote the development of inbound tourism in chinaBy introducing the grey system theory, take the inbound tourist flows and tourism destination coupling evaluation pattern into account, according to the correlation degree index, we can simply divide six cities into two categories, namely, the cities development are promoted by traffic and location:Beijing, Guangzhou, Kunming, Chengdu and Xi’an, and inbound tourism development of city driven by the tourism service facilities and social economic is Shanghai. According to the correlation degree analysis on comprehensive development level of Shanghai destination of each subsystem and the city of Shanghai inbound tourism coupling coordination degree, the correlation degree of traffic and location subsystem in Shanghai is 0.8565, according to the classification criterion of correlation degree, the relationship between traffic and location system and the inbound tourism coordination development of Shanghai is strong. This fact is also verified that transportation and location occupies a key position in the development of inbound tourism of six cities, and has become the main push force of development of China’s inbound tourism.(4) Sum up four categories of coupling patterns of development between inbound tourism flows and tourism destination of six cities in our countryBased on the results of comprehensive development level of each subsystem of tourism destination, take the grey system theory for reference, introduce grey correlation degree model,and use the grey relational grade analysis, we can make quantitative analysis on the relevance between tourism destination each subsystem and the good coupling coordination development of inbound tourism, according to the correlation degree evaluation index, we can divide the six cities into four patterns of coupling development between inbound tourism flows and the destination, that is, traffic and service advantage oriented coupling pattern represented by Beijing and Xi’an, service and economic advantage oriented coupling pattern represented by Shanghai; location and economic advantage oriented coupling pattern represented by Guangzhou; location and ecological advantage oriented coupled pattern represented by Kunming and Chengdu. Take a qualitative analysis on the four coupling patterns, we can find out the generality and difference between the inbound tourism developments of these six cities.Innovative points of this paper:(1)Adopt the grey relational grade analysis, we find four types of coupling pattern of coordination development between inbound tourism flows and tourism destination of six cities in China, traffic and service advantage oriented coupling pattern, service and economic advantage oriented coupling pattern, location and economic advantage oriented coupling pattern, location and ecological advantage oriented coupling pattern.(2)By using the analysis method combining the pattern of comprehensive development level and the grey correlation pattern, solve the problem that we can take the quantization analysis on the contribution of tourism destination each subsystem to the coupling level; it has improved the accuracy of structural coupling research to a certain extent. This paper combines the comprehensive development level pattern of system and grey correlation degree pattern,and regards time series which is composed of coupling coordination degree of inbound tourism flows and tourism destination as reference sequence, the sequence composed of the comprehensive development level of tourism destination subsystem as the comparative sequence, and carries out the correlation analysis between the series, and solves the limitation that the coupling coordination degree pattern can’t be taken to make quantitative analysis on the different effect of the each subsystem of tourism destination to the coordinated development of tourist destination.Deficiencies of this paper as follow:(1)Restricted by my research ability, acquisition of data and the research method, the science of coupling evaluation index system of inbound tourism flows and tourism destination has yet to be verified.(2) Possibility of deep analysis of coupling development pattern of inbound tourism flows and tourist destination is limited by the single method. By introducing of the grey correlation degree model, we can analyze the correlation between tourism destination each subsystem and the coordinated development of destination inbound tourism, but the concrete role of the dominant factor in destination inbound tourism development can not be measured, thus the possibility of a more in-depth analysis of the tourism destination of each subsystem is limited. |
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