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How Covid19 pandemic affect film and drama industry in China

An evidence of nonlinear empirical analysis

Bibliographic Data

ID15066533
AuthorsJiachong Hu (0009-0009-7947-5853, Jiangxi University of Finance and Economics), Xiao‐Guang Yue (0000-0002-3004-6961, Wuchang University of Technology, corresponding author), Xiao-Guang Yue (Wuchang Institute of Technology, Wuhan, China), Deimante Teresiene (0000-0002-8107-1964, Vilnius University), Irfan Ullah (0000-0001-9410-4107, Beijing Institute of Technology)
Year2022
Volume35
Issue1
Pages2254-2272
Publication date2022-12-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2021.1937262
OpenAlexW3174021965
LanguageEN
Citations received6
References cited55

With its contiguous nature, paired with the people's fear and anxiety, the Covid-19 outbreak has become a lethal combination, which despite the lower death ratio, has led to unanticipated financial and economic repercussions that have eventually disturbed the life of every single human being around the globe. In this very context, enterprises that belong to the fields of entertainment, tourism, lodging, dining, hotels, and restaurants have been found to be at a higher risk, as such operations are harshly affected during such unanticipated situations. Hence, based on this notion, the present study has been conducted, in order to precisely identify the effect on China's film and drama industry's stock returns, due to the outburst of the COVID-19 pandemic. Therefore, based on the time-series data from China, spanning from the time period of 01-Jan-2020 to 15-Mar-2021, the quantile autoregressive distributed lag method (QARDL) method has been applied, as the preferred statistical technique for this study. The results have reported that there happens to be a negative impact of the COVID-19 pandemic, on the industry across all the considered quantiles, representing the bearish, normal, and bullish market conditions. Therefore, based on these findings, the government regulations' full compliance regarding social distancing and health assurance has been recommended

Art · China · Drama · Empirical evidence · Epistemology · Literature · Nonlinear system · Pandemic · Physics · Political science · Communication · COVID-19 Pandemic Impacts · Cultural Industries and Urban Development · Law · Medicine · Philosophy · Psychology

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Unique citing works6
Citations per year1,5
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 6

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