Early Evidence of the Economic Effects of COVID-19 on the Horse Show Industry in 2020.


Journal

Journal of equine veterinary science
ISSN: 0737-0806
Titre abrégé: J Equine Vet Sci
Pays: United States
ID NLM: 8216840

Informations de publication

Date de publication:
11 2021
Historique:
received: 31 03 2021
revised: 04 08 2021
accepted: 09 08 2021
entrez: 21 10 2021
pubmed: 22 10 2021
medline: 29 10 2021
Statut: ppublish

Résumé

The COVID-19 pandemic affected the economic status of all sectors of the global economy including the horse show industry. Reporting the impact of COVID-19 on in-person horse shows and an early assessment of its impact on the economy was the objective of this study. A Qualtrics survey instrument was disseminated to horse show participants through social media pages and email (n = 251). A majority of respondents were females (95.6%) representing a cross-section of the United States (84.0%). Participants reported planning to attend an average of 9.7 (SD = 7.15) in-person horse shows in 2020 but were unable to attend an average of 4.17 (SD = 3.11) due to COVID-19 restrictions. Participants reported spending a mean of $991 (SD = $648.26) per show on horse show-related expenses, or $9,609 annually. The American Horse Council (2018) reported that 1,227,986 horses comprise the competition sector, with each horse owner showing 1.57 horses.  This participation generates $7.5B in expenses annually. The reduced attendance at in-person shows resulted in a decrease in annual expenditures, suggesting economic losses of $3.23 billion. The quantified direct effects were used in the IMPLAN input-output model to estimate the total economic impact. The reduced attendance resulted in a reduction of $7.2 billion, and a reduction of approximately 50,000 jobs within the horse show industry. Additionally, the industry's contribution to GDP (value added) was reduced by $3.95 billion. Early assessments of the economic impact associated with a reduction of in-person horse showing is vital to understanding the long-term implications for the industry.

Identifiants

pubmed: 34670703
pii: S0737-0806(21)00364-6
doi: 10.1016/j.jevs.2021.103734
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103734

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Auteurs

Chelsie Huseman (C)

Texas A&M University, Department of Animal Science, College Station, TX.

Neely Walker (N)

LSU Agricultural Center, School of Animal Sciences, Baton Rouge, LA. Electronic address: Nwalker@agcenter.lsu.edu.

Dean A McCorkle (DA)

Department of Agricultural Economics, Texas A&M AgriLife Extension Service, The Texas A&M University System, College Station, TX.

Daniel Hanselka (D)

Department of Agricultural Economics, Texas A&M AgriLife Extension Service, The Texas A&M University System, College Station, TX.

Melissa Cater (M)

LSU Agricultural Center, Agricultural & Extension Education & Evaluation, Scott Research & Extension Center, Winnsboro, LA.

Jennifer Zoller (J)

Texas A&M University, Department of Animal Science, College Station, TX.

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Classifications MeSH