Implications of COVID-19 labour market shock for child and household hungers in South Africa: Do social protection programs protect?
Recent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants' countervailing effects against such shocks. This study exa...
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description | Recent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants' countervailing effects against such shocks. This study examined the effects of job loss (labour income loss) on child and household hungers (our two measures food insecurity) during COVID-19 pandemic in South Africa. It also ascertained whether these effect were offset by alternative social grant programs to document the protective role of the latter.
We used South Africa's National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households' hungers. We also estimated the double-selection logit model to account for the model's uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.
Our analyses showed that households exposed to a labour market shock during the pandemic experienced a significant increase in our measures of food insecurity (child and household hungers). Specifically, we found that compared with households containing employed respondents, households with respondents who lost their jobs due to COVID-19 lockdown were 5.4% more likely to report child hunger and 2.6% more likely to report household hunger in the past seven days A receipt of child support grant reduces the likelihood of reporting child hunger and household hunger by 21.7%and 16.9% respectively among these households. A receipt of old age pension grant reduces the likelihood of reporting household hunger by 24% with no significant effect on child hunger.
The COVID-19 lockdown resulted in unprecedent job losses with significant implications for food insecurity. Job loss due to COVID-19 lockdown significantly increased food insecurity in South Africa. Receipts of social grants effectively offset this adverse effect. The protective effect of the social grant is heterogenous across its alternative programs (child support grant and old age pension grant) and food insecurity, suggesting the differences in the size of transfers and motivations for sending these transfers. |
doi_str_mv | 10.1371/journal.pone.0269848 |
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We used South Africa's National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households' hungers. We also estimated the double-selection logit model to account for the model's uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.
Our analyses showed that households exposed to a labour market shock during the pandemic experienced a significant increase in our measures of food insecurity (child and household hungers). Specifically, we found that compared with households containing employed respondents, households with respondents who lost their jobs due to COVID-19 lockdown were 5.4% more likely to report child hunger and 2.6% more likely to report household hunger in the past seven days A receipt of child support grant reduces the likelihood of reporting child hunger and household hunger by 21.7%and 16.9% respectively among these households. A receipt of old age pension grant reduces the likelihood of reporting household hunger by 24% with no significant effect on child hunger.
The COVID-19 lockdown resulted in unprecedent job losses with significant implications for food insecurity. Job loss due to COVID-19 lockdown significantly increased food insecurity in South Africa. Receipts of social grants effectively offset this adverse effect. The protective effect of the social grant is heterogenous across its alternative programs (child support grant and old age pension grant) and food insecurity, suggesting the differences in the size of transfers and motivations for sending these transfers.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0269848</identifier><identifier>PMID: 35776724</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Biology and Life Sciences ; Child ; Communicable Disease Control ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; COVID-19 - prevention & control ; Dynamic tests ; Economic aspects ; Epidemics ; Evaluation ; Food security ; Food Supply ; Forecasts and trends ; Grants-in-aid ; Households ; Humans ; Hunger ; Income ; Labor market ; Logit models ; Medicine and Health Sciences ; Pandemics ; Pandemics - prevention & control ; People and places ; Personal income ; Public Policy ; Reporting ; Social protection ; Social Sciences ; South Africa ; South Africa - epidemiology</subject><ispartof>PloS one, 2022-07, Vol.17 (7), p.e0269848</ispartof><rights>COPYRIGHT 2022 Public Library of Science</rights><rights>2022 Gelo, Dikgang. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 Gelo, Dikgang 2022 Gelo, Dikgang</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-6a90784d90a2650d5150df6d33ba6121863c88387cfecbdfe33c3e0001b326a33</citedby><cites>FETCH-LOGICAL-c692t-6a90784d90a2650d5150df6d33ba6121863c88387cfecbdfe33c3e0001b326a33</cites><orcidid>0000-0002-6557-2611 ; 0000-0002-8076-4443</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249193/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9249193/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23865,27923,27924,53790,53792,79371,79372</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35776724$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Böckerman, Petri</contributor><creatorcontrib>Gelo, Dambala</creatorcontrib><creatorcontrib>Dikgang, Johane</creatorcontrib><title>Implications of COVID-19 labour market shock for child and household hungers in South Africa: Do social protection programs protect?</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Recent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants' countervailing effects against such shocks. This study examined the effects of job loss (labour income loss) on child and household hungers (our two measures food insecurity) during COVID-19 pandemic in South Africa. It also ascertained whether these effect were offset by alternative social grant programs to document the protective role of the latter.
We used South Africa's National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households' hungers. We also estimated the double-selection logit model to account for the model's uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.
Our analyses showed that households exposed to a labour market shock during the pandemic experienced a significant increase in our measures of food insecurity (child and household hungers). Specifically, we found that compared with households containing employed respondents, households with respondents who lost their jobs due to COVID-19 lockdown were 5.4% more likely to report child hunger and 2.6% more likely to report household hunger in the past seven days A receipt of child support grant reduces the likelihood of reporting child hunger and household hunger by 21.7%and 16.9% respectively among these households. A receipt of old age pension grant reduces the likelihood of reporting household hunger by 24% with no significant effect on child hunger.
The COVID-19 lockdown resulted in unprecedent job losses with significant implications for food insecurity. Job loss due to COVID-19 lockdown significantly increased food insecurity in South Africa. Receipts of social grants effectively offset this adverse effect. The protective effect of the social grant is heterogenous across its alternative programs (child support grant and old age pension grant) and food insecurity, suggesting the differences in the size of transfers and motivations for sending these transfers.</description><subject>Biology and Life Sciences</subject><subject>Child</subject><subject>Communicable Disease Control</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 - prevention & control</subject><subject>Dynamic tests</subject><subject>Economic aspects</subject><subject>Epidemics</subject><subject>Evaluation</subject><subject>Food security</subject><subject>Food Supply</subject><subject>Forecasts and trends</subject><subject>Grants-in-aid</subject><subject>Households</subject><subject>Humans</subject><subject>Hunger</subject><subject>Income</subject><subject>Labor market</subject><subject>Logit models</subject><subject>Medicine and Health Sciences</subject><subject>Pandemics</subject><subject>Pandemics - prevention & control</subject><subject>People and places</subject><subject>Personal income</subject><subject>Public Policy</subject><subject>Reporting</subject><subject>Social protection</subject><subject>Social Sciences</subject><subject>South Africa</subject><subject>South Africa - epidemiology</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11v0zAUhiMEYqPwDxBYQkJw0eKPxLF3Aao6PipNqsRgt5bjOI03Jy52guCeH46zplODdoEiJfbJc97XPvZJkucILhDJ0btr1_tW2sXOtXoBMeUsZQ-SU8QJnlMMycOj8UnyJIRrCDPCKH2cnJAsz2mO09Pkz7rZWaNkZ1wbgKvAanO1Pp8jDqwsogNopL_RHQi1Uzegch6o2tgSyLYEteuDrl2c1X271T4A04JL13c1WFY-ip6BcweCU0ZasPOu02qwGYZbL5twiH14mjyqpA362fidJd8_ffy2-jK_2Hxer5YXc0U57uZUcpiztORQYprBMkPxVdGSkEJShBGjRDFGWK4qrYqy0oQooiGEqCCYSkJmycu97s66IMYCBoEpozgnMEORWO-J0slrsfMmbv-3cNKI24DzWyF9Z5TVIqUsx1xhXEqeylRxUnCKUs1pFpcYLWfJ-9GtLxpdKt12XtqJ6PRPa2qxdT8FxymPRxcF3owC3v3odehEY4LS1spWx9IP604hZ3meRfTVP-j9uxuprYwbMG3loq8aRMUyh4xBxrPBdnEPFZ9SN0bF21aZGJ8kvJ0kRKbTv7qt7EMQ68uv_89urqbs6yO21tJ2dXC2v72rUzDdg8q7ELyu7oqMoBia5VANMTSLGJslpr04PqC7pEN3kL8Ilg6g</recordid><startdate>20220701</startdate><enddate>20220701</enddate><creator>Gelo, Dambala</creator><creator>Dikgang, Johane</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6557-2611</orcidid><orcidid>https://orcid.org/0000-0002-8076-4443</orcidid></search><sort><creationdate>20220701</creationdate><title>Implications of COVID-19 labour market shock for child and household hungers in South Africa: Do social protection programs protect?</title><author>Gelo, Dambala ; Dikgang, Johane</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-6a90784d90a2650d5150df6d33ba6121863c88387cfecbdfe33c3e0001b326a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Biology and Life Sciences</topic><topic>Child</topic><topic>Communicable Disease Control</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>COVID-19 - prevention & control</topic><topic>Dynamic tests</topic><topic>Economic aspects</topic><topic>Epidemics</topic><topic>Evaluation</topic><topic>Food security</topic><topic>Food Supply</topic><topic>Forecasts and trends</topic><topic>Grants-in-aid</topic><topic>Households</topic><topic>Humans</topic><topic>Hunger</topic><topic>Income</topic><topic>Labor market</topic><topic>Logit models</topic><topic>Medicine and Health Sciences</topic><topic>Pandemics</topic><topic>Pandemics - prevention & control</topic><topic>People and places</topic><topic>Personal income</topic><topic>Public Policy</topic><topic>Reporting</topic><topic>Social protection</topic><topic>Social Sciences</topic><topic>South Africa</topic><topic>South Africa - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gelo, Dambala</creatorcontrib><creatorcontrib>Dikgang, Johane</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gelo, Dambala</au><au>Dikgang, Johane</au><au>Böckerman, Petri</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Implications of COVID-19 labour market shock for child and household hungers in South Africa: Do social protection programs protect?</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2022-07-01</date><risdate>2022</risdate><volume>17</volume><issue>7</issue><spage>e0269848</spage><pages>e0269848-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Recent studies have confirmed that the COVID-19 lockdown has caused massive job losses. However, the impact of this loss on food security is not well-understood. Moreover, a paucity of evidence exists regarding social protection grants' countervailing effects against such shocks. This study examined the effects of job loss (labour income loss) on child and household hungers (our two measures food insecurity) during COVID-19 pandemic in South Africa. It also ascertained whether these effect were offset by alternative social grant programs to document the protective role of the latter.
We used South Africa's National Income Dynamics Study (NIDS) and the Coronavirus Rapid Mobile Survey (CRAM) data. These data cover a nationally representative sample of 7073 individuals. We employed a probit model to estimate the effect of job loss and receipts of various social grants on child and households' hungers. We also estimated the double-selection logit model to account for the model's uncertainty surrounding the variable selection and treatment-effects estimation using lasso (Telasso) for causal inference of our analysis.
Our analyses showed that households exposed to a labour market shock during the pandemic experienced a significant increase in our measures of food insecurity (child and household hungers). Specifically, we found that compared with households containing employed respondents, households with respondents who lost their jobs due to COVID-19 lockdown were 5.4% more likely to report child hunger and 2.6% more likely to report household hunger in the past seven days A receipt of child support grant reduces the likelihood of reporting child hunger and household hunger by 21.7%and 16.9% respectively among these households. A receipt of old age pension grant reduces the likelihood of reporting household hunger by 24% with no significant effect on child hunger.
The COVID-19 lockdown resulted in unprecedent job losses with significant implications for food insecurity. Job loss due to COVID-19 lockdown significantly increased food insecurity in South Africa. Receipts of social grants effectively offset this adverse effect. The protective effect of the social grant is heterogenous across its alternative programs (child support grant and old age pension grant) and food insecurity, suggesting the differences in the size of transfers and motivations for sending these transfers.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>35776724</pmid><doi>10.1371/journal.pone.0269848</doi><tpages>e0269848</tpages><orcidid>https://orcid.org/0000-0002-6557-2611</orcidid><orcidid>https://orcid.org/0000-0002-8076-4443</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Biology and Life Sciences Child Communicable Disease Control Coronaviruses COVID-19 COVID-19 - epidemiology COVID-19 - prevention & control Dynamic tests Economic aspects Epidemics Evaluation Food security Food Supply Forecasts and trends Grants-in-aid Households Humans Hunger Income Labor market Logit models Medicine and Health Sciences Pandemics Pandemics - prevention & control People and places Personal income Public Policy Reporting Social protection Social Sciences South Africa South Africa - epidemiology |
title | Implications of COVID-19 labour market shock for child and household hungers in South Africa: Do social protection programs protect? |
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