Add wos sample results library

02-data/intermediate/wos_sample/13d7275ed8c7e3896c22ee3f83bc6cea-le-lam-hoang-viet-a/info.yaml

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+abstract: 'Purpose This paper aims to identify the disproportionate impacts of the
+
+  COVID-19 pandemic on labor markets. Design/methodology/approach The
+
+  authors conduct a large-scale survey on 16,000 firms from 82 industries
+
+  in Ho Chi Minh City, Vietnam, and analyze the data set by using
+
+  different machine-learning methods. Findings First, job loss and
+
+  reduction in state-owned enterprises have been significantly larger than
+
+  in other types of organizations. Second, employees of foreign direct
+
+  investment enterprises suffer a significantly lower labor income than
+
+  those of other groups. Third, the adverse effects of the COVID-19
+
+  pandemic on the labor market are heterogeneous across industries and
+
+  geographies. Finally, firms with high revenue in 2019 are more likely to
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+  adopt preventive measures, including the reduction of labor forces. The
+
+  authors also find a significant correlation between firms'' revenue and
+
+  labor reduction as traditional econometrics and machine-learning
+
+  techniques suggest. Originality/value This study has two main policy
+
+  implications. First, although government support through taxes has been
+
+  provided, the authors highlight evidence that there may be some
+
+  additional benefit from targeting firms that have characteristics
+
+  associated with layoffs or other negative labor responses. Second, the
+
+  authors provide information that shows which firm characteristics are
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+  associated with particular labor market responses such as layoffs, which
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+  may help target stimulus packages. Although the COVID-19 pandemic
+
+  affects most industries and occupations, heterogeneous firm responses
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+  suggest that there could be several varieties of targeted
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+  policies-targeting firms that are likely to reduce labor forces or firms
+
+  likely to face reduced revenue. In this paper, the authors outline
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+  several industries and firm characteristics which appear to more
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+  directly be reducing employee counts or having negative labor responses
+
+  which may lead to more cost-effect stimulus.'
+affiliation: 'Huynh, TLD (Corresponding Author), Univ Econ Ho Chi Minh City, Sch Banking,
+  Ho Chi Minh City, Vietnam.
+
+  Lam Hoang Viet Le, Univ Peoples Secur, Ho Chi Minh City, Vietnam.
+
+  Toan Luu Duc Huynh, Univ Econ Ho Chi Minh City, Sch Banking, Ho Chi Minh City, Vietnam.
+
+  Toan Luu Duc Huynh, WHU Otto Beisheim Sch Management, Chair Behav Finance, Vallendar,
+  Germany.
+
+  Weber, Bryan S., CUNY Coll Staten Isl, New York, NY USA.
+
+  Bao Khac Quoc Nguyen, Univ Econ Ho Chi Minh City, Sch Finance, Ho Chi Minh City,
+  Vietnam.'
+author: Le, Lam Hoang Viet and Huynh, Toan Luu Duc and Weber, Bryan S. and Nguyen,
+  Bao Khac Quoc
+author-email: toanhld@ueh.edu.vn
+author_list:
+- family: Le
+  given: Lam Hoang Viet
+- family: Huynh
+  given: Toan Luu Duc
+- family: Weber
+  given: Bryan S.
+- family: Nguyen
+  given: Bao Khac Quoc
+da: '2023-09-28'
+doi: 10.1108/IJOEM-02-2021-0292
+earlyaccessdate: JUL 2021
+eissn: 1746-8817
+files: []
+issn: 1746-8809
+journal: INTERNATIONAL JOURNAL OF EMERGING MARKETS
+keywords: 'COVID-19; Employment; Labor forces; Organizational behavior;
+
+  Disparities; Vietnam; J22; J23; J21; J62; J63; J64; E24'
+keywords-plus: CRISIS
+language: English
+month: 2021 JUL 27
+number-of-cited-references: '56'
+orcid-numbers: 'Weber, Bryan/0000-0003-1806-4451
+
+  Nguyen, Khac Quoc Bao/0000-0001-7735-2096
+
+  Huynh, Toan Luu Duc/0000-0002-1486-127X'
+papis_id: 50f865b105a872f98498ad3d3bc305ae
+ref: Le2021differentfirm
+times-cited: '5'
+title: 'Different firm responses to the COVID-19 pandemic shocks: machine-learning
+  evidence on the Vietnamese labor market'
+type: Article; Early Access
+unique-id: WOS:000678046000001
+usage-count-last-180-days: '1'
+usage-count-since-2013: '21'
+web-of-science-categories: Business; Economics; Management
+year: '2021'