RETRACTED ARTICLE: The impact of the COVID-19 pandemic on socio-economic and sustainability
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Abstract
PUMPING ELEPHANT: The COVID-19 pandemic has adversely affected the lives of people around the world in millions of ways . Due to this severe epidemic, all countries in the world have been affected by all aspects, mainly economic. It is widely discussed that the COVID-19 outbreak has affected the world economy. When considering this dimension, this study aims to examine the impact of the COVID-19 pandemic on the world economy, socio-economics, and sustainability. In addition, the research focuses on multiple aspects of social well-being during the pandemic, such as employment, poverty, the status of women, food security, and global trade. To this end, the study used time series and cross-sectional analysis of the data. The second-hand data used in this study comes from the websites of major international organizations. From the analysis of secondary data, the conclusion of this article is that the impact of the pandemic is huge. The main finding of the thesis is that the social economy is affected by the pandemic, causing huge losses in terms of economic well-being and social capital.
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Each demographic group showed a different impact of the pandemic based on economic, social, professional, family, and routine aspects.
“Although those dispositional and behavioral dimensions were shared by the entire population, each demographic group showed a different impact of the pandemic based on economic, social, professional, family, and routine aspects [30,31,32,33,34,35].”
From Impact of Stress during COVID-19 Pandemic in Italy: A Study on Dispositional and Behavioral Dimensions for Supporting Evidence-Based Targeted Strategies (2024) · cites this paper as [34]
The Introduction identifies groups it says were especially affected, and the Results section on women describes distinct economic, work, caregiving, and domestic impacts. The paper supports unequal impacts across some groups, but it does not compare each demographic group across all five aspects named in the claim; page numbers are unavailable in our copy. (LLM, conf=0.82)
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- Authors
- Wei, X., Li, L., & Zhang, F.
- Affiliations
- Harbin Medical University (CN)
- Corresponding author
- Zhang, Fan
- ORCID
- Venue
- Environmental Science and Pollution Research
- Published
- 2021-07-15
- Volume
- 28
- Issue
- 48
- Pages
- 68251-68260
- ISSN
- 0944-1344 (ISSN-L)
- 1614-7499
- PMC
- PMC8282265
- OpenAlex
- W3181464833
- Cited by
- 66
- References
- 25
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 17 · 2023: 18 · 2022: 19 · 2021: 4
- FWCI
- 11.07
- Type
- journal article
- Language
- en
- Status
- Retracted
- Update notices
- retraction (2025-01-10)
- Open access
- hybrid
- doi.org
- Locations
- Environmental Science and Pollution Research (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Heilongjiang Provincial Education Science Planning (GJE1320136)
- Heilongjiang Education and Science (GBB1318076.)
- Heilongjiang Economic and Social Development Key Research Project (JD2017021.)
- Heilongjiang Provincial University Basic Scientific Research (2018-KYYWF-0594)
- Heilongjiang Philosophy and Social Science Research (19FXB039., 17GLB026.)
- Harbin Medical University (DQXN201612., DQCTWH201801., DQCTWH201802.)
- Sichuan Provincial Philosophy and Social Sciences Key Research (YF16-Y02.)
- Daqing philosophy and social science planning research (DSGB2019035.)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › COVID-19 Pandemic Impacts
- Social Sciences › Safety Research › Social impacts of COVID-19
- Physical Sciences › Environmental Science › Global and Planetary Change › COVID-19 impact on air quality
- Keywords
- COVID-19 pandemic, global economy, socio-economic impacts, sustainability, employment, poverty, women's status, food security, international trade, economic well-being, social capital
- MeSH terms
- Food Security, COVID-19, Commerce, Cross-Sectional Studies, Employment, Humans, Poverty, Pandemics, Social Capital
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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