An analysis of underemployment among young graduates : the case of a higher education institution in South Africa
Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is...
Ausführliche Beschreibung
Autor*in: |
Meyer, Daniel [verfasserIn] Mncayi, Precious [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Rechteinformationen: |
Open Access Namensnennung 4.0 International ; CC BY 4.0 |
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Übergeordnetes Werk: |
Enthalten in: Economies - Basel : MDPI, 2013, 9(2021), 4 vom: Dez., Artikel-ID 196, Seite 1-16 |
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Übergeordnetes Werk: |
volume:9 ; year:2021 ; number:4 ; month:12 ; elocationid:196 ; pages:1-16 |
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DOI / URN: |
10.3390/economies9040196 |
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Katalog-ID: |
1786601281 |
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10.3390/economies9040196 doi 10419/257354 hdl (DE-627)1786601281 (DE-599)KXP1786601281 DE-627 ger DE-627 rda eng Meyer, Daniel verfasserin (DE-588)1232353078 (DE-627)1756268363 aut An analysis of underemployment among young graduates the case of a higher education institution in South Africa Daniel Francois Meyer and Precious Mncayi 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ graduate underemployment (dpeaa)DE-206 South Africa (dpeaa)DE-206 university graduates (dpeaa)DE-206 youth (dpeaa)DE-206 Mncayi, Precious verfasserin aut Enthalten in Economies Basel : MDPI, 2013 9(2021), 4 vom: Dez., Artikel-ID 196, Seite 1-16 Online-Ressource (DE-627)737287551 (DE-600)2704214-5 (DE-576)379466600 2227-7099 nnns volume:9 year:2021 number:4 month:12 elocationid:196 pages:1-16 https://www.mdpi.com/2227-7099/9/4/196/pdf Verlag kostenfrei https://doi.org/10.3390/economies9040196 Resolving-System kostenfrei http://hdl.handle.net/10419/257354 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2021 4 12 196 1-16 26 01 0206 4039864441 x1z 20-01-22 2403 01 DE-LFER 4052889967 00 --%%-- --%%-- n --%%-- l01 08-02-22 2403 01 DE-LFER https://doi.org/10.3390/economies9040196 2403 01 DE-LFER https://www.mdpi.com/2227-7099/9/4/196/pdf |
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10.3390/economies9040196 doi 10419/257354 hdl (DE-627)1786601281 (DE-599)KXP1786601281 DE-627 ger DE-627 rda eng Meyer, Daniel verfasserin (DE-588)1232353078 (DE-627)1756268363 aut An analysis of underemployment among young graduates the case of a higher education institution in South Africa Daniel Francois Meyer and Precious Mncayi 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ graduate underemployment (dpeaa)DE-206 South Africa (dpeaa)DE-206 university graduates (dpeaa)DE-206 youth (dpeaa)DE-206 Mncayi, Precious verfasserin aut Enthalten in Economies Basel : MDPI, 2013 9(2021), 4 vom: Dez., Artikel-ID 196, Seite 1-16 Online-Ressource (DE-627)737287551 (DE-600)2704214-5 (DE-576)379466600 2227-7099 nnns volume:9 year:2021 number:4 month:12 elocationid:196 pages:1-16 https://www.mdpi.com/2227-7099/9/4/196/pdf Verlag kostenfrei https://doi.org/10.3390/economies9040196 Resolving-System kostenfrei http://hdl.handle.net/10419/257354 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2021 4 12 196 1-16 26 01 0206 4039864441 x1z 20-01-22 2403 01 DE-LFER 4052889967 00 --%%-- --%%-- n --%%-- l01 08-02-22 2403 01 DE-LFER https://doi.org/10.3390/economies9040196 2403 01 DE-LFER https://www.mdpi.com/2227-7099/9/4/196/pdf |
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10.3390/economies9040196 doi 10419/257354 hdl (DE-627)1786601281 (DE-599)KXP1786601281 DE-627 ger DE-627 rda eng Meyer, Daniel verfasserin (DE-588)1232353078 (DE-627)1756268363 aut An analysis of underemployment among young graduates the case of a higher education institution in South Africa Daniel Francois Meyer and Precious Mncayi 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ graduate underemployment (dpeaa)DE-206 South Africa (dpeaa)DE-206 university graduates (dpeaa)DE-206 youth (dpeaa)DE-206 Mncayi, Precious verfasserin aut Enthalten in Economies Basel : MDPI, 2013 9(2021), 4 vom: Dez., Artikel-ID 196, Seite 1-16 Online-Ressource (DE-627)737287551 (DE-600)2704214-5 (DE-576)379466600 2227-7099 nnns volume:9 year:2021 number:4 month:12 elocationid:196 pages:1-16 https://www.mdpi.com/2227-7099/9/4/196/pdf Verlag kostenfrei https://doi.org/10.3390/economies9040196 Resolving-System kostenfrei http://hdl.handle.net/10419/257354 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2021 4 12 196 1-16 26 01 0206 4039864441 x1z 20-01-22 2403 01 DE-LFER 4052889967 00 --%%-- --%%-- n --%%-- l01 08-02-22 2403 01 DE-LFER https://doi.org/10.3390/economies9040196 2403 01 DE-LFER https://www.mdpi.com/2227-7099/9/4/196/pdf |
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10.3390/economies9040196 doi 10419/257354 hdl (DE-627)1786601281 (DE-599)KXP1786601281 DE-627 ger DE-627 rda eng Meyer, Daniel verfasserin (DE-588)1232353078 (DE-627)1756268363 aut An analysis of underemployment among young graduates the case of a higher education institution in South Africa Daniel Francois Meyer and Precious Mncayi 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ graduate underemployment (dpeaa)DE-206 South Africa (dpeaa)DE-206 university graduates (dpeaa)DE-206 youth (dpeaa)DE-206 Mncayi, Precious verfasserin aut Enthalten in Economies Basel : MDPI, 2013 9(2021), 4 vom: Dez., Artikel-ID 196, Seite 1-16 Online-Ressource (DE-627)737287551 (DE-600)2704214-5 (DE-576)379466600 2227-7099 nnns volume:9 year:2021 number:4 month:12 elocationid:196 pages:1-16 https://www.mdpi.com/2227-7099/9/4/196/pdf Verlag kostenfrei https://doi.org/10.3390/economies9040196 Resolving-System kostenfrei http://hdl.handle.net/10419/257354 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2055 GBV_ILN_2108 GBV_ILN_2111 GBV_ILN_2129 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 9 2021 4 12 196 1-16 26 01 0206 4039864441 x1z 20-01-22 2403 01 DE-LFER 4052889967 00 --%%-- --%%-- n --%%-- l01 08-02-22 2403 01 DE-LFER https://doi.org/10.3390/economies9040196 2403 01 DE-LFER https://www.mdpi.com/2227-7099/9/4/196/pdf |
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analysis of underemployment among young graduatesthe case of a higher education institution in south africa |
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An analysis of underemployment among young graduates the case of a higher education institution in South Africa |
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Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. |
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Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. |
abstract_unstemmed |
Labour markets have undergone vast transformations over the last few years. There are arguments that employment and unemployment measures have not been adequate in understanding the complexities of labour markets. Research on labour underutilisation has focused on one side of the spectrum, which is just about the scarcity of jobs. However, there is more to the labour market than just scarcity of jobs, and many researchers believe unemployment is not a complete measurement of unused labour capacity, which is why this study aimed to investigate the existence of underemployment from the perceptions of young graduates themselves. In this regard, the definition of young people entailed those younger than 35 years as officially defined in South Africa. The study employed a primary data method of data collection in which an online survey was used to collect the necessary data from the alumni database of a South African university. The study used binary logistic regression to determine factors that contributed to or influenced underemployment status. The main findings indicated that underemployment was rife according to age, where younger graduates (20–29 years) were more likely to be underemployed compared to their more mature counterparts; that is, those in the 30-34 age category, with non-White graduates most likely to encounter underemployment compared to their counterparts. This study resulted in important findings that carry significant policy implications and recommendations that may be crucial in correcting the current employment mismatches in the South African graduate labour market. |
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