Abstract In this paper, the DCC-GARCH model is introduced to analyze the dynamic correlation between civil aviation passenger traffic volume and its influential factors. Results from the empirical studies using the statistical data in Beijing show that the GDP and average annual temperature directly affect the development of civil aviation passenger traffic volume, and the degree of correlation between them varies in different time backgrounds. Besides, the correlation between the civil aviation passenger traffic volume and the number of inbound tourists and the consumption level of residents is also getting closer and closer with time.


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    Titel :

    The Dynamic Correlation Between Civil Aviation Passenger Traffic Volume and Its Influential Factors Based on DCC-GARCH Model


    Beteiligte:
    Cai, Junling (Autor:in) / Zhang, Ning (Autor:in)


    Erscheinungsdatum :

    2019-10-02


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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