| Literature DB >> 34268692 |
Xueli Wei1,2, Lijing Li1, Fan Zhang3.
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.Entities:
Keywords: Employment; Pandemic; Social economy; Sustainability; coronavirus disease; food safety; poor
Mesh:
Year: 2021 PMID: 34268692 PMCID: PMC8282265 DOI: 10.1007/s11356-021-14986-0
Source DB: PubMed Journal: Environ Sci Pollut Res Int ISSN: 0944-1344 Impact factor: 4.223
Fig. 1Quarterly GDP for 2020
Quarterly GDP for 2020
| Country | GDP |
|---|---|
| China | −9.8 |
| Iceland | −7.01243 |
| France | −5.3432 |
| Italy | −5.30942 |
| Spain | −5.23722 |
| Slovak Republic | −5.15558 |
| Slovenia | −4.53152 |
| Portugal | −3.76245 |
| Estonia | −3.69071 |
| Belgium | −3.59499 |
| Czech Republic | −3.33146 |
| Latvia | −2.90032 |
| Switzerland | −2.60701 |
| Austria | −2.56337 |
| Columbia | −2.38534 |
| Germany | −2.2218 |
| Canada | −2.10899 |
| Denmark | −2.07292 |
| UK | −1.97549 |
| Israel | −1.83293 |
| Netherlands | −1.71629 |
| Greece | −1.59793 |
| Norway | −1.5473 |
| Brazil | −1.53942 |
| USA | −1.28638 |
| Korea | −1.2817 |
| Mexico | −1.24098 |
| Finland | −0.85926 |
| Indonesia | −0.68672 |
| Japan | −0.56517 |
| Poland | −0.40394 |
| Hungary | −0.39062 |
| Lithuania | −0.34324 |
| Australia | −0.30586 |
| Sweden | 0.121829 |
| Bulgaria | 0.288235 |
| Romania | 0.314825 |
| Turkey | 0.615463 |
| India | 0.65894 |
| Ireland | 1.166176 |
| Chile | 3.034375 |
Fig. 2Aggregate OECD GDP
Aggregate OECD GDP
| Year | OECD GDP |
|---|---|
| 2000 | 4.120418 |
| 2001 | 1.402737 |
| 2002 | 1.678441 |
| 2003 | 2.107335 |
| 2004 | 3.340186 |
| 2005 | 2.907985 |
| 2006 | 3.206121 |
| 2007 | 2.691061 |
| 2008 | 0.359443 |
| 2009 | −3.35533 |
| 2010 | 3.050615 |
| 2011 | 2.08932 |
| 2012 | 1.384969 |
| 2013 | 1.611147 |
| 2014 | 2.207396 |
| 2015 | 2.575601 |
| 2016 | 1.841686 |
| 2017 | 2.666721 |
| 2018 | 2.31723 |
| 2019 | 2.68 |
| 2020 | −1.8 |
Fig. 3Global growth rates
Global growth rates
| Year | Global growth rate |
|---|---|
| 2010 | 4.4 |
| 2011 | 3.3 |
| 2012 | 2.5 |
| 2013 | 2.7 |
| 2014 | 2.9 |
| 2015 | 2.9 |
| 2016 | 2.6 |
| 2017 | 3.3 |
| 2018 | 3.0 |
| 2019 | 2.4 |
| 2020 | −5.2 |
| 2021 | 4.2 |
Fig. 4Unemployment rate for countries
Unemployment rate for countries
| Country | Unemployment rate |
|---|---|
| Spain | 17.0 |
| Italy | 11.0 |
| Sweden | 9.5 |
| France | 9.3 |
| Finland | 8.4 |
| Portugal | 8.3 |
| USA | 8.2 |
| Ireland | 8.1 |
| Canada | 7.7 |
| Lithuania | 7.4 |
| Australia | 7.4 |
| UK | 7.2 |
| Estonia | 7.1 |
| Luxembourg | 7.1 |
| Denmark | 6.4 |
| Belgium | 6.3 |
| Slovak Republic | 6.3 |
| New Zealand | 6.0 |
| Switzerland | 6.0 |
| Mexico | 5.9 |
| Israel | 5.8 |
| Iceland | 5.5 |
| Poland | 5.1 |
| Austria | 4.9 |
| Netherlands | 4.6 |
| Norway | 4.2 |
| Korea | 4.1 |
| Germany | 3.9 |
| Czech Republic | 3.8 |
| Hungary | 3.8 |
| Japan | 3.1 |
Fig. 5OECD employment rates
OECD employment rates
| Year | OECD employment rate |
|---|---|
| 2000 | 6.144492 |
| 2001 | 6.630343 |
| 2002 | 7.191543 |
| 2003 | 7.325176 |
| 2004 | 7.184701 |
| 2005 | 6.783474 |
| 2006 | 6.274324 |
| 2007 | 5.808896 |
| 2008 | 6.139248 |
| 2009 | 8.292264 |
| 2010 | 8.477786 |
| 2011 | 8.091829 |
| 2012 | 8.065573 |
| 2013 | 7.984239 |
| 2014 | 7.427004 |
| 2015 | 6.861839 |
| 2016 | 6.447021 |
| 2017 | 5.920082 |
| 2018 | 5.478733 |
| 2019 | 5.386595 |
| 2020 | 9.181022 |
Fig. 6Percentage change in global activity indicators
Percentage change in global activity indicators
| Indicators | Percent change |
|---|---|
| Air pollution | −19.0 |
| Retail and recreation mobility | −37.2 |
| Flight cancellations (inverted) | −79.4 |
| OpenTable reservations | −85.0 |