| The development of China's tourism industry first starts from the inbound tourism,which both has become one of the fastest growing country in the world not only the tourist foreign exchange income but also tourist visitors under after each unit,organization's 30 years of continuous efforts.According to forecast of the WTO,China will become the largest tourist destination in the world in 2020.Visible,China has entered the world tourism power,and try to work toward great tourism power.However,the development of inbound tourism by international macroeconomic and between domestic provinces and cities social economy,the resources endowment,geographical location,traffic conditions and infrastructure such as dual influence and restriction,as well as China's inbound tourism development there is a big regional differences.Therefore,in-depth empirical research on development of inbound tourism industry efficiency evaluation and spatial dynamic evolution characteristics to discuss spatial distribution and variation characteristics of the 31 administrative provinces inbound tourism efficiency,It is of great theoretical and practical significance for the future development of China's regional tourism development strategy and tourism planning,and promote the rapid development of regional tourism.Based on the research results of other scholars,this paper systematically analyzes the efficiency of inbound tourism development of 31 municipalities provinces in China from the perspective of time change and space transfer.The article is divided into 5parts,First of all,the first part of paper introduces the research status of inbound tourism development and inbound tourism efficiency,significance,methods and technical routes of inbound tourism both at home and abroad.The second part defines the relevant concepts and theoretical basis of this study.The third part is the construction of China's inbound tourism DEA evaluation index system,it mainly includes 3 parts: the evaluation object and the data source,the evaluation method,the variable frame construction and the index selection.The fourth part is the empirical analysis part,thefirst is using CCR and BCC model in the DEA method to calculate and evaluate the comprehensive efficiency,pure technical efficiency and scale efficiency of inbound tourism in recent ten years,and compared the correlation between the three.Secondly,using the DEA-Malmquist index model to calculate the total factor productivity index of inbound tourism in 31 provinces of China.Thirdly,using the spatial autocorrelation analysis method described the correlation and gather degree of inbound tourism industry development efficiency in spatial distributionand from the global and local two aspects.Finally,the gravity center and the standard deviation ellipse are used to calculate and analyze the gravity center offset trajectory of the inbound tourism efficiency.The fifth part is the summary of the full text of the results and follow-up prospects.The research conclusions of this paper are summarized as follows:Conclusion one: during the period of 2004-2013,the overall efficiency and pure technical efficiency level of inbound tourism of the 31 municipalities provinces in China were low,while the scale efficiency was generally higher than that of the former two,but the number of provinces and cities to achieve effective efficiency is still less.Conclusion two:From the perspective of spatial distribution,The overall efficiency and scale efficiency of inbound tourism in China are higher in the east than in the middle and higher in the west,while the pure technical efficiency is higher in the east than in the West and higher in the middle.Conclusion third:There is a positive correlation between the comprehensive efficiency and its decomposition efficiency of Chinese Inbound Tourism in 2004-2013,and the comprehensive efficiency of inbound tourism is influence by pure technical efficiency is higher than the scale efficiency.Conclusion four:In 2004-2007,2007-2010 and 2010-2013 in the three period of the total factor productivity index in general showed growth characteristics,but the first period is slightly bigger than the second period,second period is obviously bigger than the third period.From the perspective of spatial distribution,the total factor productivity of inbound tourism in the eastern and western regions was decreased in different degrees during the ten years,while the productivity change in the central region was first increased and then decreased.Conclusion five:From the view of global spatial autocorrelation,the comprehensive efficiency and pure technical efficiency of the global correlation is not strong of Chinese 31 administrative provinces of inbound tourism in the study period,and showing a low value agglomeration in the space,and various provinces and citiesscale efficiency showed strong correlation,spatial agglomeration in high value.From the local spatial autocorrelation on the various provinces and cities,inbound tourism comprehensive efficiency,pure technical efficiency and scale efficiency in spatial distribution are not obvious,and the annual variation is small,the main types of the high concentration,low concentration,high and low concentration,low and high concentration.Conclusion six:In China,the span and offset of pure technical efficiency of inbound tourism are higher than comprehensive efficiency and scale efficiency,and the pure technical efficiency and comprehensive efficiency are mainly offset to the southwest,while the scale efficiency is mainly offset to the northwest. |
PDF Full Text Request