Loading…
Determinants of Poverty in South Africa Using the 2018 General Household Survey Data
The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and infer...
Saved in:
Published in: | Journal of poverty 2022-04, Vol.26 (3), p.197-213 |
---|---|
Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | cdi_FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103 |
---|---|
cites | cdi_FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103 |
container_end_page | 213 |
container_issue | 3 |
container_start_page | 197 |
container_title | Journal of poverty |
container_volume | 26 |
creator | Mdluli, P Dunga, S |
description | The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and inferential approaches specifically the binary-logistic regression model. The results of the model indicate that socioeconomic factors such as income, and household size, on the household level and head of household characteristics such as gender, marital status, age and population group were significant determinants of poverty. Policies that target girl education would go a long way in addressing poverty. |
doi_str_mv | 10.1080/10875549.2021.1910100 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_crossref_primary_10_1080_10875549_2021_1910100</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2657002017</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWKsfQQh43jrZf8neLK22QkGh7TlkdxO7ZZvUJFvZb2-W1quXmTn83pvHQ-iRwIQAg-cwaJalxSSGmExIQYAAXKERyVKIaA7sOtyBiQboFt05twcgjCUwQpu59NIeGi20d9go_GlO0voeNxqvTed3eKpsUwm8dY3-wn4ncRy0eCG1tKLFS9M5uTNtjdedPckez4UX9-hGidbJh8seo-3b62a2jFYfi_fZdBVVSZ74iJQqBqrKsihEPgRkaV0XUsSsEIxKmoGsRFWWaZblVBEWK0aKWgoVqIoSSMbo6ex7tOa7k87zvemsDi95nGcUIESlgcrOVGWNc1YqfrTNQdieE-BDgfyvQD4UyC8FBt3LWddoZexB_Bjb1tyLvjVWWaGrxvHkf4tf0fV2OQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2657002017</pqid></control><display><type>article</type><title>Determinants of Poverty in South Africa Using the 2018 General Household Survey Data</title><source>Sociological Abstracts</source><source>Taylor and Francis Social Sciences and Humanities Collection</source><creator>Mdluli, P ; Dunga, S</creator><creatorcontrib>Mdluli, P ; Dunga, S</creatorcontrib><description>The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and inferential approaches specifically the binary-logistic regression model. The results of the model indicate that socioeconomic factors such as income, and household size, on the household level and head of household characteristics such as gender, marital status, age and population group were significant determinants of poverty. Policies that target girl education would go a long way in addressing poverty.</description><identifier>ISSN: 1087-5549</identifier><identifier>EISSN: 1540-7608</identifier><identifier>DOI: 10.1080/10875549.2021.1910100</identifier><language>eng</language><publisher>Binghamton: Routledge</publisher><subject>Age groups ; Determinants ; head of household ; Households ; Marital status ; Poverty ; poverty line ; Socioeconomic factors</subject><ispartof>Journal of poverty, 2022-04, Vol.26 (3), p.197-213</ispartof><rights>2021 Taylor & Francis Group, LLC 2021</rights><rights>2021 Taylor & Francis Group, LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103</citedby><cites>FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,33774</link.rule.ids></links><search><creatorcontrib>Mdluli, P</creatorcontrib><creatorcontrib>Dunga, S</creatorcontrib><title>Determinants of Poverty in South Africa Using the 2018 General Household Survey Data</title><title>Journal of poverty</title><description>The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and inferential approaches specifically the binary-logistic regression model. The results of the model indicate that socioeconomic factors such as income, and household size, on the household level and head of household characteristics such as gender, marital status, age and population group were significant determinants of poverty. Policies that target girl education would go a long way in addressing poverty.</description><subject>Age groups</subject><subject>Determinants</subject><subject>head of household</subject><subject>Households</subject><subject>Marital status</subject><subject>Poverty</subject><subject>poverty line</subject><subject>Socioeconomic factors</subject><issn>1087-5549</issn><issn>1540-7608</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>BHHNA</sourceid><recordid>eNp9kE9LAzEQxYMoWKsfQQh43jrZf8neLK22QkGh7TlkdxO7ZZvUJFvZb2-W1quXmTn83pvHQ-iRwIQAg-cwaJalxSSGmExIQYAAXKERyVKIaA7sOtyBiQboFt05twcgjCUwQpu59NIeGi20d9go_GlO0voeNxqvTed3eKpsUwm8dY3-wn4ncRy0eCG1tKLFS9M5uTNtjdedPckez4UX9-hGidbJh8seo-3b62a2jFYfi_fZdBVVSZ74iJQqBqrKsihEPgRkaV0XUsSsEIxKmoGsRFWWaZblVBEWK0aKWgoVqIoSSMbo6ex7tOa7k87zvemsDi95nGcUIESlgcrOVGWNc1YqfrTNQdieE-BDgfyvQD4UyC8FBt3LWddoZexB_Bjb1tyLvjVWWaGrxvHkf4tf0fV2OQ</recordid><startdate>20220416</startdate><enddate>20220416</enddate><creator>Mdluli, P</creator><creator>Dunga, S</creator><general>Routledge</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7U3</scope><scope>7U4</scope><scope>BHHNA</scope><scope>DWI</scope><scope>WZK</scope></search><sort><creationdate>20220416</creationdate><title>Determinants of Poverty in South Africa Using the 2018 General Household Survey Data</title><author>Mdluli, P ; Dunga, S</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age groups</topic><topic>Determinants</topic><topic>head of household</topic><topic>Households</topic><topic>Marital status</topic><topic>Poverty</topic><topic>poverty line</topic><topic>Socioeconomic factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mdluli, P</creatorcontrib><creatorcontrib>Dunga, S</creatorcontrib><collection>CrossRef</collection><collection>Social Services Abstracts</collection><collection>Sociological Abstracts (pre-2017)</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts</collection><collection>Sociological Abstracts (Ovid)</collection><jtitle>Journal of poverty</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mdluli, P</au><au>Dunga, S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determinants of Poverty in South Africa Using the 2018 General Household Survey Data</atitle><jtitle>Journal of poverty</jtitle><date>2022-04-16</date><risdate>2022</risdate><volume>26</volume><issue>3</issue><spage>197</spage><epage>213</epage><pages>197-213</pages><issn>1087-5549</issn><eissn>1540-7608</eissn><abstract>The paper analyses poverty in South Africa, using the GHS-data of 2018. STATSSA designates three poverty lines, the upper-bound poverty line is employed in the methodology, which makes the analysis more detailed and unique. The methodology uses descriptive statistics, multivariate analysis and inferential approaches specifically the binary-logistic regression model. The results of the model indicate that socioeconomic factors such as income, and household size, on the household level and head of household characteristics such as gender, marital status, age and population group were significant determinants of poverty. Policies that target girl education would go a long way in addressing poverty.</abstract><cop>Binghamton</cop><pub>Routledge</pub><doi>10.1080/10875549.2021.1910100</doi><tpages>17</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1087-5549 |
ispartof | Journal of poverty, 2022-04, Vol.26 (3), p.197-213 |
issn | 1087-5549 1540-7608 |
language | eng |
recordid | cdi_crossref_primary_10_1080_10875549_2021_1910100 |
source | Sociological Abstracts; Taylor and Francis Social Sciences and Humanities Collection |
subjects | Age groups Determinants head of household Households Marital status Poverty poverty line Socioeconomic factors |
title | Determinants of Poverty in South Africa Using the 2018 General Household Survey Data |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T18%3A06%3A07IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Determinants%20of%20Poverty%20in%20South%20Africa%20Using%20the%202018%20General%20Household%20Survey%20Data&rft.jtitle=Journal%20of%20poverty&rft.au=Mdluli,%20P&rft.date=2022-04-16&rft.volume=26&rft.issue=3&rft.spage=197&rft.epage=213&rft.pages=197-213&rft.issn=1087-5549&rft.eissn=1540-7608&rft_id=info:doi/10.1080/10875549.2021.1910100&rft_dat=%3Cproquest_cross%3E2657002017%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c363t-1bf207fbb99a6108784dd9ea289a87e750ecacbb45567f182f819deafdd9c7103%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2657002017&rft_id=info:pmid/&rfr_iscdi=true |