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Museums in the Covid-19 pandemic

The impact of economic stimulus policy and market strategy of the national palace museums in Taiwan

Bibliographic Data

ID5718014
AuthorsShu-Chi Shen (Department of Fine Art, School of Art, Southeast University, Nanjing, China), Tsai-Ching Liu (0000-0003-2004-0096, National Taipei University), Chung-Ping Albert Loh (University of North Florida), Chuan Shi Chen (0000-0002-6314-8171, National Taipei University, corresponding author), Chin-Shyan Chen (National Taipei University)
Year2024
Volume39
Issue2
Pages238-251
Publication date2024-03-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueMuseum Management and Curatorship (JOURNAL)
Journal identifiersISSN: 0964-7775 • E-ISSN: 1872-9185
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09647775.2022.2132989
OpenAlexW4305014691
LanguageEN
Citations received2
References cited23

This research examines the impact of the voucher-based economic stimulus policy and market strategy on museum traffic during the COVID-19 pandemic in Taiwan. We apply a univariate time-series model (ARMAX) to daily-visit data of the National Palace Museums in Taiwan during 2016–2021, showing results that the consumption voucher program effectively did boost the number of visitors amid overall declines in tourists due to the lockdown. A comparison among the National Palace Museum branches further reveals that holding more outdoor art events by one branch induced a more potent effect of the stimulus policy. The findings suggest that outdoor art events can be a helpful strategy for museums, which traditionally rely on indoor art exhibitions, to mitigate the impact of a pandemic

2019-20 coronavirus outbreak · Archaeology · Business · Economic impact analysis · Economics · Exhibition · Geography · National monument · Pandemic · Univariate · Voucher · Art History and Market Analysis · Computer Science · Cultural Industries and Urban Development · Diverse Aspects of Tourism Research · Medicine · Psychology

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Unique citing works2
Citations per year0,67
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 2

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