Measuring energy poverty in South Africa based on household required energy consumption
This study incorporates household energy needs into Foster–Greer–Thorbecke (FGT) based poverty measures to examine energy poverty in South Africa. Our household-specific energy poverty line is founded on the application of semiparametric estimation of energy expenditure shares that are used to deter...
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description | This study incorporates household energy needs into Foster–Greer–Thorbecke (FGT) based poverty measures to examine energy poverty in South Africa. Our household-specific energy poverty line is founded on the application of semiparametric estimation of energy expenditure shares that are used to determine a household energy equivalence scale and, thus, the household specific required energy consumption level or poverty line. We find that headcount energy poverty is extensive, exceeding 50%, as is the gap and the severity of energy poverty. Decomposition results suggest that energy poverty rates decrease with income, and lower income groups contribute more to total poverty than higher income groups across all the three poverty indexes. Although our poverty rates are determined by the choices we have made, the model is flexible enough to allow for assumptions that differ from ours, and we provide a useful sensitivity analysis for further understanding.
•This study incorporates household energy needs into FGT poverty measures.•Poverty line is determined by needs and semiparametrically estimated energy equivalence scale.•Household energy needs are based on a reasonable living standard in South Africa.•Energy poverty is extensive in South Africa especially for lower income households. |
doi_str_mv | 10.1016/j.eneco.2021.105553 |
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•This study incorporates household energy needs into FGT poverty measures.•Poverty line is determined by needs and semiparametrically estimated energy equivalence scale.•Household energy needs are based on a reasonable living standard in South Africa.•Energy poverty is extensive in South Africa especially for lower income households.</description><identifier>ISSN: 0140-9883</identifier><identifier>EISSN: 1873-6181</identifier><identifier>DOI: 10.1016/j.eneco.2021.105553</identifier><language>eng</language><publisher>AMSTERDAM: Elsevier B.V</publisher><subject>Business & Economics ; Developing country ; Economics ; Energy consumption ; Energy economics ; Energy poverty ; Foster–Greer–Thorbecke poverty measures ; Households ; Income ; Low income groups ; Poverty ; Required energy consumption ; Residential energy ; Sensitivity analysis ; Social Sciences</subject><ispartof>Energy economics, 2021-11, Vol.103, p.105553, Article 105553</ispartof><rights>2021</rights><rights>Copyright Elsevier Science Ltd. Nov 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>42</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000704529900018</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c459t-ffc515aa0ef7a87f24b64458a30ee5820e6cdd6d99578b8fc2f52bcd1520c9cd3</citedby><cites>FETCH-LOGICAL-c459t-ffc515aa0ef7a87f24b64458a30ee5820e6cdd6d99578b8fc2f52bcd1520c9cd3</cites><orcidid>0000-0002-2097-4027 ; 0000-0003-1534-0713</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eneco.2021.105553$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3554,27875,27933,27934,39266,46004</link.rule.ids></links><search><creatorcontrib>Ye, Yuxiang</creatorcontrib><creatorcontrib>Koch, Steven F.</creatorcontrib><title>Measuring energy poverty in South Africa based on household required energy consumption</title><title>Energy economics</title><addtitle>ENERG ECON</addtitle><description>This study incorporates household energy needs into Foster–Greer–Thorbecke (FGT) based poverty measures to examine energy poverty in South Africa. Our household-specific energy poverty line is founded on the application of semiparametric estimation of energy expenditure shares that are used to determine a household energy equivalence scale and, thus, the household specific required energy consumption level or poverty line. We find that headcount energy poverty is extensive, exceeding 50%, as is the gap and the severity of energy poverty. Decomposition results suggest that energy poverty rates decrease with income, and lower income groups contribute more to total poverty than higher income groups across all the three poverty indexes. Although our poverty rates are determined by the choices we have made, the model is flexible enough to allow for assumptions that differ from ours, and we provide a useful sensitivity analysis for further understanding.
•This study incorporates household energy needs into FGT poverty measures.•Poverty line is determined by needs and semiparametrically estimated energy equivalence scale.•Household energy needs are based on a reasonable living standard in South Africa.•Energy poverty is extensive in South Africa especially for lower income households.</description><subject>Business & Economics</subject><subject>Developing country</subject><subject>Economics</subject><subject>Energy consumption</subject><subject>Energy economics</subject><subject>Energy poverty</subject><subject>Foster–Greer–Thorbecke poverty measures</subject><subject>Households</subject><subject>Income</subject><subject>Low income groups</subject><subject>Poverty</subject><subject>Required energy consumption</subject><subject>Residential energy</subject><subject>Sensitivity analysis</subject><subject>Social Sciences</subject><issn>0140-9883</issn><issn>1873-6181</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>GIZIO</sourceid><sourceid>7TQ</sourceid><recordid>eNqNkMFOJCEQhonRxFH3CbyQeNz0CHTTDYc9mImuJhoPavZIaCgcJgojdGvm7ZexJx6NpyKV_6sqPoROKZlTQtvz1RwCmDhnhNHS4ZzXe2hGRVdXLRV0H80IbUglhagP0VHOK0IIb7mYoX93oPOYfHjGZUR63uB1fIc0bLAP-CGOwxJfuOSNxr3OYHEMeBnHDMv4YnGCt9Gn0t2hJoY8vq4HH8MJOnD6JcOvXT1GT1eXj4vr6vb-783i4rYyDZdD5ZzhlGtNwHVadI41fds0XOiaAHDBCLTG2tZKyTvRC2eY46w3lnJGjDS2PkZn09x1im8j5EGt4phCWalYS2UjWkZlSdVTyqSYcwKn1sm_6rRRlKitQbVSnwbV1qCaDBZKTNQH9NFl4yEY-CKLwo40nElZXlQs_KC3H1_EMQwF_f1ztKT_TGkopt49JLUjbLFrBmWj__bQ_xdjnLg</recordid><startdate>202111</startdate><enddate>202111</enddate><creator>Ye, Yuxiang</creator><creator>Koch, Steven F.</creator><general>Elsevier B.V</general><general>Elsevier</general><general>Elsevier Science Ltd</general><scope>17B</scope><scope>BLEPL</scope><scope>DVR</scope><scope>EGQ</scope><scope>GIZIO</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TA</scope><scope>7TQ</scope><scope>8BJ</scope><scope>8FD</scope><scope>C1K</scope><scope>DHY</scope><scope>DON</scope><scope>FQK</scope><scope>JBE</scope><scope>JG9</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-2097-4027</orcidid><orcidid>https://orcid.org/0000-0003-1534-0713</orcidid></search><sort><creationdate>202111</creationdate><title>Measuring energy poverty in South Africa based on household required energy consumption</title><author>Ye, Yuxiang ; Koch, Steven F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c459t-ffc515aa0ef7a87f24b64458a30ee5820e6cdd6d99578b8fc2f52bcd1520c9cd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Business & Economics</topic><topic>Developing country</topic><topic>Economics</topic><topic>Energy consumption</topic><topic>Energy economics</topic><topic>Energy poverty</topic><topic>Foster–Greer–Thorbecke poverty measures</topic><topic>Households</topic><topic>Income</topic><topic>Low income groups</topic><topic>Poverty</topic><topic>Required energy consumption</topic><topic>Residential energy</topic><topic>Sensitivity analysis</topic><topic>Social Sciences</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ye, Yuxiang</creatorcontrib><creatorcontrib>Koch, Steven F.</creatorcontrib><collection>Web of Knowledge</collection><collection>Web of Science Core Collection</collection><collection>Social Sciences Citation Index</collection><collection>Web of Science Primary (SCIE, SSCI & AHCI)</collection><collection>Web of Science - Social Sciences Citation Index – 2021</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Materials Business File</collection><collection>PAIS Index</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>Materials Research Database</collection><collection>Environment Abstracts</collection><jtitle>Energy economics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ye, Yuxiang</au><au>Koch, Steven F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Measuring energy poverty in South Africa based on household required energy consumption</atitle><jtitle>Energy economics</jtitle><stitle>ENERG ECON</stitle><date>2021-11</date><risdate>2021</risdate><volume>103</volume><spage>105553</spage><pages>105553-</pages><artnum>105553</artnum><issn>0140-9883</issn><eissn>1873-6181</eissn><abstract>This study incorporates household energy needs into Foster–Greer–Thorbecke (FGT) based poverty measures to examine energy poverty in South Africa. Our household-specific energy poverty line is founded on the application of semiparametric estimation of energy expenditure shares that are used to determine a household energy equivalence scale and, thus, the household specific required energy consumption level or poverty line. We find that headcount energy poverty is extensive, exceeding 50%, as is the gap and the severity of energy poverty. Decomposition results suggest that energy poverty rates decrease with income, and lower income groups contribute more to total poverty than higher income groups across all the three poverty indexes. Although our poverty rates are determined by the choices we have made, the model is flexible enough to allow for assumptions that differ from ours, and we provide a useful sensitivity analysis for further understanding.
•This study incorporates household energy needs into FGT poverty measures.•Poverty line is determined by needs and semiparametrically estimated energy equivalence scale.•Household energy needs are based on a reasonable living standard in South Africa.•Energy poverty is extensive in South Africa especially for lower income households.</abstract><cop>AMSTERDAM</cop><pub>Elsevier B.V</pub><doi>10.1016/j.eneco.2021.105553</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-2097-4027</orcidid><orcidid>https://orcid.org/0000-0003-1534-0713</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Business & Economics Developing country Economics Energy consumption Energy economics Energy poverty Foster–Greer–Thorbecke poverty measures Households Income Low income groups Poverty Required energy consumption Residential energy Sensitivity analysis Social Sciences |
title | Measuring energy poverty in South Africa based on household required energy consumption |
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