An integrative analytical model for the water-energy-food nexus: South Africa case study
The missing link between cross-sectoral resource management and full-scale adoption of the water-energy-food (WEF) nexus has been the lack of analytical tools that provide evidence for policy and decision-making. This study defined WEF nexus sustainability indicators, from where an analytical model...
| Autores principales: | , , , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/108134 |
| _version_ | 1855534232891293696 |
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| author | Nhamo, L. Mabhaudhi, Tafadzwanashe Mpandeli, S. Dickens, Chris Nhemachena, C. Senzanje, Aidan Naidoo, D. Liphadzi, S. Modi, Albert Thembinkosi |
| author_browse | Dickens, Chris Liphadzi, S. Mabhaudhi, Tafadzwanashe Modi, Albert Thembinkosi Mpandeli, S. Naidoo, D. Nhamo, L. Nhemachena, C. Senzanje, Aidan |
| author_facet | Nhamo, L. Mabhaudhi, Tafadzwanashe Mpandeli, S. Dickens, Chris Nhemachena, C. Senzanje, Aidan Naidoo, D. Liphadzi, S. Modi, Albert Thembinkosi |
| author_sort | Nhamo, L. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The missing link between cross-sectoral resource management and full-scale adoption of the water-energy-food (WEF) nexus has been the lack of analytical tools that provide evidence for policy and decision-making. This study defined WEF nexus sustainability indicators, from where an analytical model was developed to manage WEF resources in an integrated manner using the Analytic Hierarchy Process (AHP). The model established quantitative relationships among WEF sectors, simplifying the intricate interlinkages among resources, using South Africa as a case study. A spider graph was used to illustrate sector performance as related to others, whose management is viewed either as sustainable or unsustainable. The model was then applied to assess progress towards the Sustainable Development Goals in South Africa. The estimated integrated indices of 0.155 and 0.203 for 2015 and 2018, respectively, classify South Africa’s management of resources as marginally sustainable. The model is a decision support tool that highlights priority areas for intervention. |
| format | Journal Article |
| id | CGSpace108134 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1081342025-03-11T09:50:20Z An integrative analytical model for the water-energy-food nexus: South Africa case study Nhamo, L. Mabhaudhi, Tafadzwanashe Mpandeli, S. Dickens, Chris Nhemachena, C. Senzanje, Aidan Naidoo, D. Liphadzi, S. Modi, Albert Thembinkosi decision support systems water availability energy food security nexus water productivity climate change adaptation resilience sustainable development goals development indicators living standards agricultural productivity cereals models performance evaluation case studies The missing link between cross-sectoral resource management and full-scale adoption of the water-energy-food (WEF) nexus has been the lack of analytical tools that provide evidence for policy and decision-making. This study defined WEF nexus sustainability indicators, from where an analytical model was developed to manage WEF resources in an integrated manner using the Analytic Hierarchy Process (AHP). The model established quantitative relationships among WEF sectors, simplifying the intricate interlinkages among resources, using South Africa as a case study. A spider graph was used to illustrate sector performance as related to others, whose management is viewed either as sustainable or unsustainable. The model was then applied to assess progress towards the Sustainable Development Goals in South Africa. The estimated integrated indices of 0.155 and 0.203 for 2015 and 2018, respectively, classify South Africa’s management of resources as marginally sustainable. The model is a decision support tool that highlights priority areas for intervention. 2020-07 2020-05-04T06:41:39Z 2020-05-04T06:41:39Z Journal Article https://hdl.handle.net/10568/108134 en Open Access Elsevier Nhamo, L.; Mabhaudhi, T.; Mpandeli, S.; Dickens, Chris; Nhemachena, C.; Senzanje, A.; Naidoo, D.; Liphadzi, S.; Modi, A. T. 2020. An integrative analytical model for the water-energy-food nexus: South Africa case study. Environmental Science and Policy, 109:15-24. |
| spellingShingle | decision support systems water availability energy food security nexus water productivity climate change adaptation resilience sustainable development goals development indicators living standards agricultural productivity cereals models performance evaluation case studies Nhamo, L. Mabhaudhi, Tafadzwanashe Mpandeli, S. Dickens, Chris Nhemachena, C. Senzanje, Aidan Naidoo, D. Liphadzi, S. Modi, Albert Thembinkosi An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title | An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title_full | An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title_fullStr | An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title_full_unstemmed | An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title_short | An integrative analytical model for the water-energy-food nexus: South Africa case study |
| title_sort | integrative analytical model for the water energy food nexus south africa case study |
| topic | decision support systems water availability energy food security nexus water productivity climate change adaptation resilience sustainable development goals development indicators living standards agricultural productivity cereals models performance evaluation case studies |
| url | https://hdl.handle.net/10568/108134 |
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