Cargando…
Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa
For the economic recovery in the wake of Covid-19 pandemic, South Africa announced the launch of an ambitious ZAR 2.3 trillion infrastructure investment plan. This paper uses a simplified yet reliable method to analyse the potential growth and employment effects of this stimulus plan. Based on lower...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Palgrave Macmillan UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050995/ https://www.ncbi.nlm.nih.gov/pubmed/33879979 http://dx.doi.org/10.1057/s41287-021-00400-5 |
_version_ | 1783679675688550400 |
---|---|
author | Habiyaremye, Alexis Molewa, Olebogeng Lekomanyane, Pelontle |
author_facet | Habiyaremye, Alexis Molewa, Olebogeng Lekomanyane, Pelontle |
author_sort | Habiyaremye, Alexis |
collection | PubMed |
description | For the economic recovery in the wake of Covid-19 pandemic, South Africa announced the launch of an ambitious ZAR 2.3 trillion infrastructure investment plan. This paper uses a simplified yet reliable method to analyse the potential growth and employment effects of this stimulus plan. Based on lower and upper bound values of the country’s estimated fiscal multipliers, we built a scenario prediction template with which output and employment expansion can be analysed within specified constraints on the fiscal space and the country’s economic dynamics. Our estimation model suggests that with a 50% state participation in the recovery investment, the best case scenario of fiscal stimulation would enable the economy to create 2.23 million jobs over the first 5 years of the stimulus investments (of which 1.74 million would be attributed to the stimulus effect), while the more realistic scenario based of the lower bound value of the fiscal multiplier with only 30% state participation predicts the creation of 1.67 million additional jobs, of which 1.18 million would be attributable to the stimulus. Our analysis also suggests that investing in the types of infrastructure that shift the production technology could change the long-term growth trajectory, while focusing on employment-intensive investment may only generate temporary effects. |
format | Online Article Text |
id | pubmed-8050995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Palgrave Macmillan UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80509952021-04-16 Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa Habiyaremye, Alexis Molewa, Olebogeng Lekomanyane, Pelontle Eur J Dev Res Original Article For the economic recovery in the wake of Covid-19 pandemic, South Africa announced the launch of an ambitious ZAR 2.3 trillion infrastructure investment plan. This paper uses a simplified yet reliable method to analyse the potential growth and employment effects of this stimulus plan. Based on lower and upper bound values of the country’s estimated fiscal multipliers, we built a scenario prediction template with which output and employment expansion can be analysed within specified constraints on the fiscal space and the country’s economic dynamics. Our estimation model suggests that with a 50% state participation in the recovery investment, the best case scenario of fiscal stimulation would enable the economy to create 2.23 million jobs over the first 5 years of the stimulus investments (of which 1.74 million would be attributed to the stimulus effect), while the more realistic scenario based of the lower bound value of the fiscal multiplier with only 30% state participation predicts the creation of 1.67 million additional jobs, of which 1.18 million would be attributable to the stimulus. Our analysis also suggests that investing in the types of infrastructure that shift the production technology could change the long-term growth trajectory, while focusing on employment-intensive investment may only generate temporary effects. Palgrave Macmillan UK 2021-04-16 2022 /pmc/articles/PMC8050995/ /pubmed/33879979 http://dx.doi.org/10.1057/s41287-021-00400-5 Text en © European Association of Development Research and Training Institutes (EADI) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Original Article Habiyaremye, Alexis Molewa, Olebogeng Lekomanyane, Pelontle Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title | Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title_full | Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title_fullStr | Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title_full_unstemmed | Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title_short | Estimating Employment Gains of the Proposed Infrastructure Stimulus Plan in Post-Covid-19 South Africa |
title_sort | estimating employment gains of the proposed infrastructure stimulus plan in post-covid-19 south africa |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8050995/ https://www.ncbi.nlm.nih.gov/pubmed/33879979 http://dx.doi.org/10.1057/s41287-021-00400-5 |
work_keys_str_mv | AT habiyaremyealexis estimatingemploymentgainsoftheproposedinfrastructurestimulusplaninpostcovid19southafrica AT molewaolebogeng estimatingemploymentgainsoftheproposedinfrastructurestimulusplaninpostcovid19southafrica AT lekomanyanepelontle estimatingemploymentgainsoftheproposedinfrastructurestimulusplaninpostcovid19southafrica |