• DocumentCode
    1847064
  • Title

    Cointegration relationship analysis of tourism and transportation in China

  • Author

    Yao Li-fen ; Liu Ai-ying ; Long Ru-yin ; QingChen, Li

  • Author_Institution
    Sch. of Manage., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2011
  • fDate
    13-15 May 2011
  • Firstpage
    141
  • Lastpage
    144
  • Abstract
    The relationship between transportation and tourism tops the agenda of the economics research. In this paper, cointegration analysis, error correction model and Granger causality estimation were used to test the relationship of China´s transportation level and tourism, based on the data from 1994 to 2009. Econometric software-Eviews 5.0 was used in calculation process. All the empirical studies were experienced several steps including unit root test on transportation level and tourism, cointegration test, first order and second order error correction model as well as Granger causality estimation. The empirical test showed that although the short-run fluctuation exists, there is a stable equilibrium relation between China´s transportation and tourism in the long run. In addition, on the comparison of between international and domestic tourism, it concluded that the transportation plays more significant role in promoting domestic tourism than international tourism.
  • Keywords
    econometrics; error correction; transportation; travel industry; China; Eviews 5.0; Granger causality estimation; cointegration analysis; domestic tourism; econometric software; error correction model; international tourism; short-run fluctuation; stable equilibrium relation; transportation level; unit root test; Correlation; Economics; Error correction; Industries; Mathematical model; Time series analysis; Transportation; cointegration test; error correction model; tourism; transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Management and Electronic Information (BMEI), 2011 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-61284-108-3
  • Type

    conf

  • DOI
    10.1109/ICBMEI.2011.5917866
  • Filename
    5917866