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Analysis Of Market Structure And Earnings Growth About Inbound Tourist In Liaoning

Posted on:2013-05-21Degree:MasterType:Thesis
Country:ChinaCandidate:L LuoFull Text:PDF
GTID:2269330395479689Subject:Industrial Economics
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Liaoning province is located in northeast China’s southern coast, is China the northeast economic circle and the important link bohai sea economic zone band and bohai sea, in the south yellow sea, the sea and the Japanese across the southeast, and facilitates the Korean peninsula, the east, north and west sides and jilin, Inner Mongolia and hebei provinces is linked together, adjacent to Russia, is the connection of the Eurasian continental important gateway and front strip, also is in the northeast economic center and the traffic communication hub. The convenience of the land, sea and air traffic to and the more than50cities in liaoning large and medium cities and Japan, South Korea, Russia, Thailand, Hong Kong, Macao and other countries and regions together, make the province to be an important tourism destination of northeast Asia. Tourism development is to many countries and areas earn foreign exchange and solving the employment of important ways. At the same time, the number of inbound travel and tourism income is the measure of a country and regional tourism strength and open degree of important index. With China’s accession to the world trade organization and the deepening of reform and opening up, the international cultural exchange of information is becoming more and more frequent, the research analyzes tourism market structure and income growth, tourism market development, the development of inbound tourism has practical significance. The paper mainly the study includes the following aspects:The first chapter, introduction. In liaoning province mainly expounds the entry tourism related issues of the background and significance, and the domestic and foreign research progress, research methods and framework, liaoning province entry tourism situation.The second chapter, liaoning province entry tourism market structure analysis. From time and space structure, the structure of consumption, objective structure, tourist market close view degrees, tourist market competitive state of liaoning province to analyze the specific tourism market.Chapter3, liaoning province entry tourism income effect factors. By using the grey relation theory to discuss already development of tourist resources, tourist capital investment, tourism labor force, the government comprehensive management, enterprise ability, the industrial structure, infrastructure, the geographical factors of liaoning province entry tourism income effect. With location entropy formula to calculate the2009unit traveling scenic area of fixed assets, the number of units travel agency and the average ratio, draw a comparative advantage part of liaoning province. The fourth chapter, liaoning province entry tourism and economic growth of the relationship between the cointegration analysis. Through collecting the1989to2009entry tourism consumption in liaoning province and GDP data, the use of unit root test, cointegration analysis, Granger causality test, dynamic econometric methods, and to the region tourism consumption and economic growth, the relationship between the empirical analysis, and concluded that there is a long-term equilibrium relationship between them, and each is the Granger causality.Chapter5, liaoning province entry tourism development strategy analysis. Strengthening the government comprehensive management, and promote the healthy development of tourism; Further research tourist market, provide better service for the entry tourism; Strengthen from personnel training, improve the entry tourism soft power; Adjust and optimize the structure of products, create famous brand tourism.Chapter6, conclusion and prospected. Research conclusion, the paper characteristics and the deficiency, and future problems to be further studied and direction diligently.
Keywords/Search Tags:inbound tourism, Liaoning province, Market structure, The greyrelational analysis, Cointegration analysis
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