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The Empirical Study On The Factors Influencing The Tourism Economic Of Zhejiang Province

Posted on:2018-01-25Degree:MasterType:Thesis
Country:ChinaCandidate:R GuiFull Text:PDF
GTID:2359330512999165Subject:Comparative Economic Systems science
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That Chinese tourism revenue of 2016 has been more than 3.9 trillion in total and International Tourism Receipts has reached 0.12 trillion proves that income made by tourism is increasing and increasing sharply from end of last century.Besides this,it has been a source of driving force promoting economic growth.The growth rate of Zhejiang Province,one of most developed province,exceeds the whole country greatly.Unique location and abundant natural resource makes Zhejiang good at run travel industry.After 10 years' hard working,Zhejiang has made brilliant achievements compared with most other provinces.Even though tourism of Zhejiang Province is developing very well,it is still not stable or continuable and has no power of reacting to external disturbance.Different cities in Zhejiang have a wide difference in tourism revenue but similar resource endowment.So,many questions has been raised.What is the detailed condition of different areas in Zhejiang ? What is the regular law of this kind of difference among cities? There exists many researches working on tourism,but no one concerning Zhejiang.Therefore,present developing status of 11 cities has been included.Besides this,by collecting concerning data and modeling,influence factor of Zhejiang's tourism are researched.Then,the degree of impact that guides tourism market can be obtained.The main content are as follows,The first chapter is about related theories.Introduce the research background,research significance and related theories.This chapter means to offer method and thought of writing.The second chapter is about the analysis of Zhejiang' tourism development.This chapter sorts out the developing rules of 11 cities based on real condition of Zhejiang.The third chapter is principal components regression analysis.This chapter concludes the impact degree of different factors by data analyzing and modeling that guides the future tourism strategy of Zhejiang Province.
Keywords/Search Tags:Tourist economy, Principal components regression, Economic growth factor, The grey correlation degree
PDF Full Text Request
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