Abstract
The construction industry plays a substantial role in the development of any national economy and it contributes considerably to employment and growth. Notwithstanding its importance, its productivity trends carry great significant effects on national economic growth. Thus, this study seek to investigate the labour productivity trends for the South African construction industry with specific interest in the Northwest Province. The research focuses on construction labour productivity, the labour working conditions and the factors that may impact productivity in the South African construction industry. The research is based on systematic reviewing of selected articles on labour productivity and productivity statistics in South Africa, within the period of 2006 and 2016. The findings revealed management factors, material factors, human/labour factors and technical factors to be the most critical factors affecting labour productivity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the World Congress on Engineering 2018, WCE 2018 |
| Editors | A. M. Korsunsky, David WL Hukins, Andrew Hunter, S. I. Ao, Len Gelman |
| Publisher | Newswood Limited |
| Pages | 510-513 |
| Number of pages | 4 |
| ISBN (Electronic) | 9789881404893 |
| Publication status | Published - 2018 |
| Event | 2018 World Congress on Engineering, WCE 2018 - London, United Kingdom Duration: 4 Jul 2018 → 6 Jul 2018 |
Publication series
| Name | Lecture Notes in Engineering and Computer Science |
|---|---|
| Volume | 2236 |
| ISSN (Print) | 2078-0958 |
Conference
| Conference | 2018 World Congress on Engineering, WCE 2018 |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 4/07/18 → 6/07/18 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Construction Industry
- Labour
- Northwest Province
- Productivity trends
- South Africa
ASJC Scopus subject areas
- Computer Science (miscellaneous)
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