IDEAS home Printed from https://ideas.repec.org/a/eee/anture/v79y2019ics0160738319301112.html
   My bibliography  Save this article

Spillover analysis of tourist movements within Europe

Author

Listed:
  • Mitra, Subrata Kumar
  • Chattopadhyay, Manojit
  • Jana, R.K.

Abstract

•Analyzed spillover effect among top nine tourist destination countries of European Union.•Spillover effect is measured for tourist arrivals, nights spent and net occupancy rate.•Used method proposed by Barunik and Krehlik (2018) to capture time dynamics.•Analysis performed for three bands: short-term, medium-term, and long-term.•Spillover is highest in the medium term of four to twelve months.

Suggested Citation

  • Mitra, Subrata Kumar & Chattopadhyay, Manojit & Jana, R.K., 2019. "Spillover analysis of tourist movements within Europe," Annals of Tourism Research, Elsevier, vol. 79(C).
    • Handle: RePEc:eee:anture:v:79:y:2019:i:c:s0160738319301112
    DOI: 10.1016/j.annals.2019.102754
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160738319301112
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.annals.2019.102754?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gunter, Ulrich & Önder, Irem, 2015. "Forecasting international city tourism demand for Paris: Accuracy of uni- and multivariate models employing monthly data," Tourism Management, Elsevier, vol. 46(C), pages 123-135.
    2. repec:bla:pacecr:v:23:y:2018:i:1:p:109-126 is not listed on IDEAS
    3. Francis X. Diebold & Kamil Yilmaz, 2009. "Measuring Financial Asset Return and Volatility Spillovers, with Application to Global Equity Markets," Economic Journal, Royal Economic Society, vol. 119(534), pages 158-171, January.
    4. Wu, Chih-Wen, 2016. "Destination loyalty modeling of the global tourism," Journal of Business Research, Elsevier, vol. 69(6), pages 2213-2219.
    5. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    6. Lee, Jung Wan & Brahmasrene, Tantatape, 2013. "Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union," Tourism Management, Elsevier, vol. 38(C), pages 69-76.
    7. Silva, Emmanuel Sirimal & Ghodsi, Zara & Ghodsi, Mansi & Heravi, Saeed & Hassani, Hossein, 2017. "Cross country relations in European tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 151-168.
    8. Chang, Chia-Lin & Hsu, Hui-Kuang & McAleer, Michael, 2013. "Is small beautiful? Size effects of volatility spillovers for firm performance and exchange rates in tourism," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 519-534.
    9. Tiwari, Aviral Kumar & Cunado, Juncal & Gupta, Rangan & Wohar, Mark E., 2018. "Volatility spillovers across global asset classes: Evidence from time and frequency domains," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 194-202.
    10. Maghyereh, Aktham I. & Abdoh, Hussein & Awartani, Basel, 2019. "Connectedness and hedging between gold and Islamic securities: A new evidence from time-frequency domain approaches," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 13-28.
    11. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    12. Yuki Toyoshima & Shigeyuki Hamori, 2018. "Measuring the Time-Frequency Dynamics of Return and Volatility Connectedness in Global Crude Oil Markets," Energies, MDPI, vol. 11(11), pages 1-18, October.
    13. Ma, Tao & Hong, Tao & Zhang, Haozhe, 2015. "Tourism spatial spillover effects and urban economic growth," Journal of Business Research, Elsevier, vol. 68(1), pages 74-80.
    14. Antonakakis, Nikolaos & Dragouni, Mina & Filis, George, 2015. "How strong is the linkage between tourism and economic growth in Europe?," Economic Modelling, Elsevier, vol. 44(C), pages 142-155.
    15. Tsai, I-Chun, 2017. "The source of global stock market risk: A viewpoint of economic policy uncertainty," Economic Modelling, Elsevier, vol. 60(C), pages 122-131.
    16. Shareef, Riaz & McAleer, Michael, 2008. "Modelling international tourism demand and uncertainty in Maldives and Seychelles: A portfolio approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 459-468.
    17. Yang, Yang & Zhang, Honglei, 2019. "Spatial-temporal forecasting of tourism demand," Annals of Tourism Research, Elsevier, vol. 75(C), pages 106-119.
    18. Ferrer, Román & Shahzad, Syed Jawad Hussain & López, Raquel & Jareño, Francisco, 2018. "Time and frequency dynamics of connectedness between renewable energy stocks and crude oil prices," Energy Economics, Elsevier, vol. 76(C), pages 1-20.
    19. Estol, Judith & Font, Xavier, 2016. "European tourism policy: Its evolution and structure," Tourism Management, Elsevier, vol. 52(C), pages 230-241.
    20. Kadiyali, Vrinda & Kosová, Renáta, 2013. "Inter-industry employment spillovers from tourism inflows," Regional Science and Urban Economics, Elsevier, vol. 43(2), pages 272-281.
    21. Nishaal Gooroochurn & Aoife Hanley, 2005. "Spillover effects in long-haul visitors between two regions," Regional Studies, Taylor & Francis Journals, vol. 39(6), pages 727-738.
    22. Cao, Zheng & Li, Gang & Song, Haiyan, 2017. "Modelling the interdependence of tourism demand: The global vector autoregressive approach," Annals of Tourism Research, Elsevier, vol. 67(C), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
    2. Vinko Muštra & Blanka Škrabić Perić & Smiljana Pivčević, 2023. "Cultural heritage sites, tourism and regional economic resilience," Papers in Regional Science, Wiley Blackwell, vol. 102(3), pages 465-482, June.
    3. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    4. Liu, Yan & Cheng, Xian & Liao, Stephen Shaoyi & Yang, Feng, 2023. "The impact of COVID-19 on the tourism and hospitality Industry: Evidence from international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    5. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2022. "Time and frequency spillovers between political risk and the stock returns of China's rare earths," Resources Policy, Elsevier, vol. 75(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mukhriz Izraf Azman Aziz & Norzalina Ahmad & Jin Zichu & Safwan Mohd Nor, 2022. "The Impact of COVID-19 on the Connectedness of Stock Index in ASEAN+3 Economies," Mathematics, MDPI, vol. 10(9), pages 1-22, April.
    2. Tiantian Liu & Shigeyuki Hamori, 2020. "Spillovers to Renewable Energy Stocks in the US and Europe: Are They Different?," Energies, MDPI, vol. 13(12), pages 1-28, June.
    3. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2020. "Dynamic frequency connectedness between oil and natural gas volatilities," Economic Modelling, Elsevier, vol. 84(C), pages 181-189.
    4. Tiantian Liu & Tadahiro Nakajima & Shigeyuki Hamori, 2022. "The impact of economic uncertainty caused by COVID-19 on renewable energy stocks," Empirical Economics, Springer, vol. 62(4), pages 1495-1515, April.
    5. Sevillano, María Caridad & Jareño, Francisco & López, Raquel & Esparcia, Carlos, 2024. "Connectedness between oil price shocks and US sector returns: Evidence from TVP-VAR and wavelet decomposition," Energy Economics, Elsevier, vol. 131(C).
    6. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    7. Guo, Li-Yang & Feng, Chao, 2021. "Are there spillovers among China's pilots for carbon emission allowances trading?," Energy Economics, Elsevier, vol. 103(C).
    8. Wenting Zhang & Xie He & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "How Does the Spillover among Natural Gas, Crude Oil, and Electricity Utility Stocks Change over Time? Evidence from North America and Europe," Energies, MDPI, vol. 13(3), pages 1-26, February.
    9. Wan, Jieru & Yin, Libo & Wu, You, 2024. "Return and volatility connectedness across global ESG stock indexes: Evidence from the time-frequency domain analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 397-428.
    10. Tangyong Liu & Xu Gong & Lizhi Tang, 2022. "The uncertainty spillovers of China's economic policy: Evidence from time and frequency domains," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4541-4555, October.
    11. Liew, Ping-Xin & Lim, Kian-Ping & Goh, Kim-Leng, 2022. "The dynamics and determinants of liquidity connectedness across financial asset markets," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 341-358.
    12. Ana Alzate-Ortega & Natalia Garzón & Jesús Molina-Muñoz, 2024. "Volatility Spillovers in Emerging Markets: Oil Shocks, Energy, Stocks, and Gold," Energies, MDPI, vol. 17(2), pages 1-19, January.
    13. Cui Jinxin & Zou Huiwen, 2020. "Connectedness Among Economic Policy Uncertainties: Evidence from the Time and Frequency Domain Perspectives," Journal of Systems Science and Information, De Gruyter, vol. 8(5), pages 401-433, October.
    14. Tangyong Liu & Xu Gong & Boqiang Lin, 2021. "Analyzing the frequency dynamics of volatility spillovers across precious and industrial metal markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(9), pages 1375-1396, September.
    15. Cui, Jinxin & Goh, Mark & Li, Binlin & Zou, Huiwen, 2021. "Dynamic dependence and risk connectedness among oil and stock markets: New evidence from time-frequency domain perspectives," Energy, Elsevier, vol. 216(C).
    16. Ehsan Bagheri & Seyed Babak Ebrahimi & Arman Mohammadi & Mahsa Miri & Stelios Bekiros, 2022. "The Dynamic Volatility Connectedness Structure of Energy Futures and Global Financial Markets: Evidence From a Novel Time–Frequency Domain Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1087-1111, March.
    17. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    18. Xie He & Tetsuya Takiguchi & Tadahiro Nakajima & Shigeyuki Hamori, 2020. "Spillover effects between energies, gold, and stock: the United States versus China," Energy & Environment, , vol. 31(8), pages 1416-1447, December.
    19. Wang, Xunxiao, 2020. "Frequency dynamics of volatility spillovers among crude oil and international stock markets: The role of the interest rate," Energy Economics, Elsevier, vol. 91(C).
    20. Wang, Zi-Xin & Liu, Bing-Yue & Fan, Ying, 2023. "Network connectedness between China's crude oil futures and sector stock indices," Energy Economics, Elsevier, vol. 125(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:anture:v:79:y:2019:i:c:s0160738319301112. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/annals-of-tourism-research/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.