The dynamic correlation between civil aviation passenger traffic volume and its influential factors based on DCC-GARCH model

  • Junling Cai*
  • , Ning Zhang
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationRecent Trends in Intelligent Computing, Communication and Devices - Proceedings of ICCD 2018
EditorsVipul Jain, Srikanta Patnaik, Florin Popentiu Vladicescu, Ishwar K. Sethi
PublisherSpringer
Pages641-648
Number of pages8
ISBN (Print)9789811394058
DOIs
StatePublished - 2020
Event4th International Conference on Intelligent Computing, Communication and Devices, ICCD 2018 - Guangzhou, China
Duration: 7 Dec 20189 Dec 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1031 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference4th International Conference on Intelligent Computing, Communication and Devices, ICCD 2018
Country/TerritoryChina
CityGuangzhou
Period7/12/189/12/18

Keywords

  • Civil aviation passenger traffic volume
  • DCC-GARCH model
  • Dynamic correlation
  • Influential factors

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