The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Dynamic relationship between air transport demand and economic growth in the United States: A new look
Open accessAbstract
This paper examines the short- and long-run effects of economic growth and market shocks (e.g., 9/11 terrorist attacks, Iraq war, SARS epidemic, and 2008 financial crisis) on air passenger and freight services using an autoregressive distributed lag (ARDL) approach to cointegration. Results show that, in the long-run, both air passenger and freight services tend to increase with economic growth. In the short-run, however, only air passenger service is responsive to economic growth. Finally, only the 9/11 terrorist attacks and the SARS have detrimental effects on air passenger demand both in the short- and long-run, and in the long-run, respectively. However, these market shocks are found to have little impact on air freight demand.
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“An industry's response to these factors is nonlinear, in that they show greater sensitivity to negative economic shocks than to positive shocks (Goh and Law, 2011; Chi and Baek, 2013; Wadud, 2014; Chi, 2024).”
From Passenger and Freight Demand under Macroeconomic Volatility: Evidence from South Korea and The United States (2026) · cites this paper as Chi and Baek, 2013
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Cites
Bounds testing approaches to the analysis of level relationships
Pesaran, M. H., Shin, Y., & Smith, R. J. (2001) · Journal of Applied Econometrics · doi:10.1002/jae.616 · Cited by 20,385
Research works printed but not linked: 13
- Ba-Fail, 2000, The determinants of domestic air travel demand in the Kingdom of Saudi Arabia, Journal of Air Transportation Worldwide, 5, 72
- Blunk, 2006, Evaluating the long-run impacts of the 9/11 terrorist attacks on US domestic airline travel, Applied Economics, 38, 363, 10.1080/00036840500367930 · DOI
- Chang, 2009, Air cargo expansion and economic growth: finding the empirical link, Journal of Air Transport Management, 15, 264, 10.1016/j.jairtraman.2008.09.016 · DOI
- Cheze, B., Chevallier, J., Gastineau P., 2011. Forecasting World and Regional Air Traffic in the Mid-term (2025): An Econometric Analysis of Air Traffic Determinants using Dynamic Panel-Data Models. Open Access Publications from Universitè Paris-Dauphine. · DOI
- Elliot, 1996, Efficient tests for an autoregressive unit root, Econometrica, 64, 813, 10.2307/2171846 · DOI
- Engle, 1987, Cointegration and error correction representation: estimation and testing, Econometrica, 55, 251, 10.2307/1913236 · DOI · Paper page
- Ito, 2005, Assessing the impact of the September 11 terrorist attacks on US airline demand, Journal of Economics and Business, 57, 75, 10.1016/j.jeconbus.2004.06.003 · DOI
- Lai, 2005, Impact analysis of September 11 on air travel demand in the USA, Journal of Air Transport Management, 11, 455, 10.1016/j.jairtraman.2005.06.001 · DOI
- Liew, 1979, Empirical comparison of various forms of economic travel demand models, Transportation Research Record, 728, 72
- Marazzo, 2010, Air transport demand and economic growth in Brazil: a time series analysis, Transportation Research Part E, 46, 261, 10.1016/j.tre.2009.08.008 · DOI
- Panapoulou, 2004, A comparison of autoregressive distributed lag and dynamic OLS cointegration estimation in the case of a serially correlated cointegration error, Econometrics, 7, 585, 10.1111/j.1368-423X.2004.00145.x · DOI
- Pesaran, M.H., Shin, Y., 1999. An autoregressive distributed lag modeling approach to cointegration analysis. In: Strom, S. (Ed.) Econometrics and Economic Theory in the 20th Century: The Ragnar Frisch Centennial Symposium. Cambridge University Press, Cambridge. · DOI
- Phu, S.H., 1991. The Effects of US Airline Deregulation on Public Intercity Passenger Travel Demand an Econometrics Analysis. Ph.D. Dissertation. University of Oklahoma.
Cited by
Sorted by citations
Jung, N. (2026) · Transport and Telecommunication Journal · doi:10.2478/ttj-2026-0011 · Cited by 1
“An industry’s response to these factors is nonlinear, in that they show greater sensitivity to negative economic shocks than to positive shocks (Goh and Law, 2011; Chi and Baek, 2013; Wadud, 2014; Chi, 2024).”
Metadata
- Authors
- Chi, J., & Baek, J.
- Affiliations
- University of Hawaiʻi at Mānoa (US)
- University of Alaska Fairbanks (US)
- Corresponding author
- Chi, Junwook
- Venue
- Transport Policy
- Publisher
- Elsevier BV
- Published
- 2013-09
- Volume
- 29
- Pages
- 257-260
- ISSN
- 0967-070X (ISSN-L)
- PMC
- PMC7127131
- OpenAlex
- W1969500443
- Cited by
- 187
- References
- 1
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 27 · 2023: 15 · 2022: 26 · 2021: 19 · 2020: 20 · 2019: 8 · 2018: 23 · 2017: 6 · 2016: 5 · 2015: 5 · 2014: 1
- FWCI
- 10.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Transport Policy (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Aviation Industry Analysis and Trends
- Physical Sciences › Engineering › Aerospace Engineering › Air Traffic Management and Optimization
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Fiscal Policy and Economic Growth
- Keywords
- air travel demand, economic growth, air freight demand, market shocks, September 11 attacks, SARS epidemic, 2008 financial crisis, Iraq War, short-run and long-run effects, United States aviation
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