IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/108180.html
   My bibliography  Save this paper

Impacts of COVID-19 on Coastal Tourism in Maine: Evidence from Bar Harbor

Author

Listed:
  • Gabe, Todd

Abstract

This paper examines the effects of COVID-19 on coastal tourism in Bar Harbor, Maine, which was among the hardest hit regions statewide. The impacts of COVID-19 on Bar Harbor’s restaurant sector are separated into those related to the reduction in overnight tourists, the decrease in the recreational activities of day visitors and local residents (e.g., Acadia National Park users), the cancellation of cruise ship visits, and the nationwide decline in hospitality sales due to the COVID-19 shutdown. In July, which is during Bar Harbor’s peak tourist season, 52 percent of the area’s 2019 to 2020 year-over-year reduction in restaurant sales is due to the decrease in overnight visitors. In October, the decrease in overnight visitors explains only about 8 percent of the 2019 to 2020 year-over-year loss of restaurant sales, while the cancellation of cruise ships accounted for 47 percent of the impact on restaurant sales during this peak month for ships. Across all of 2020, Bar Harbor’s loss of overnight visitors explains 40 percent of the area’s reduction in restaurant sales, 35 percent of the decline is due to the nationwide impact of the pandemic and shutdown, 14 percent is related to the decrease in the recreational activities of day visitors and local residents, and the cancellation of cruise ships explains 11 percent of Bar Harbor’s loss of restaurant sales between 2019 and 2020. Knowing more about the channels by which COVID-19 impacted hospitality in Bar Harbor can help state and local officials with recovery efforts and support tourism along the Maine coast.

Suggested Citation

  • Gabe, Todd, 2021. "Impacts of COVID-19 on Coastal Tourism in Maine: Evidence from Bar Harbor," MPRA Paper 108180, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:108180
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/108180/1/MPRA_paper_108180.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Todd Gabe, 2016. "Effects of the October 2013 U.S. Federal government shutdown on National Park gateway communities: the case of Acadia National Park and Bar Harbor, Maine," Applied Economics Letters, Taylor & Francis Journals, vol. 23(5), pages 313-317, March.
    2. Gabe Todd & Florida Richard, 2021. "Impacts of Jobs Requiring Close Physical Proximity and High Interaction with the Public on U.S. Industry Employment Change During the Early Stages of the COVID-19 Pandemic," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(3), pages 1163-1172, July.
    Full references (including those not matched with items on IDEAS)

    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. Paul M. Jakus & Sherzod B. Akhundjanov, 2018. "Neither Boon nor Bane: The Economic Effects of a Landscape-Scale National Monument," Land Economics, University of Wisconsin Press, vol. 94(3), pages 323-339.
    2. Gabe, Todd & Diodato, William, 2021. "Maine Employment Change in 2020: Impacts of the COVID-19 Pandemic," MPRA Paper 106930, University Library of Munich, Germany.
    3. Richard Florida & Todd Gabe, 2023. "COVID-19, the New Urban Crisis, and Cities: How COVID-19 Compounds the Influence of Economic Segregation and Inequality on Metropolitan Economic Performance," Economic Development Quarterly, , vol. 37(4), pages 328-348, November.
    4. Jakus, Paul M. & Akhundjanov, Sherzod B., 2019. "The Antiquities Act, national monuments, and the regional economy," Journal of Environmental Economics and Management, Elsevier, vol. 95(C), pages 102-117.
    5. Min-Yen Chang & Yi-Sheng Hsu & Han-Shen Chen, 2021. "Choice Experiment Method for Sustainable Tourism in Theme Parks," Sustainability, MDPI, vol. 13(13), pages 1-16, June.

    More about this item

    Keywords

    COVID-19; Tourism; Maine; Hospitality Industry;
    All these keywords.

    JEL classification:

    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pra:mprapa:108180. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.