Evidence map›Paper›PMID 40093642›Full record

ArticleSustainability2024

Sustainability of the Linkages Between Water-Energy-Food Resources Based on Structural Equation Modeling Under Changing Climate: A Case Study of Narok County (Kenya) and Vhembe District Municipality (South Africa).

Nosipho Zwane, Joel O Botai, Christina M Botai, Tafadzwanashe Mabhaudhi

Abstract read
In one paragraph

Article in Sustainability, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Nosipho ZwaneSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa.ORCID https://orcid.org/0000-0003-3517-0408
Joel O BotaiDepartment of Geography, Geoinformatics and Meteorology, University of Pretoria, Private Bag X020, Hatfield, Pretoria 0028, South Africa.ORCID https://orcid.org/0000-0002-0695-2489
Christina M BotaiSouth African Weather Service, Private Bag X097, Pretoria 0001, South Africa.ORCID https://orcid.org/0000-0003-3498-539X
Tafadzwanashe MabhaudhiCentre on Climate Change and Planetary Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.ORCID https://orcid.org/0000-0002-9323-8127

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the current and predicted increase in the global demand for water-energy-food (WEF) resources, as well as the inevitable linkages between the WEF sectors and sustainable development, the WEF nexus is rapidly being recognized as a method to effectively manage sustainable development. Many African countries still face challenges in terms of the demand for and accessibility of WEF resources. For this reason, a comparative study of two sites (Narok County and Vhembe District Municipality), which exhibit similar socio-economic, environmental, and technological circumstances, was undertaken. In the present study, we considered 218 questionnaire responses, which we analyzed using partial least squares structural equation modeling (SEM) based on the WEF nexus constructs. This study is anchored on the null hypothesis (H0), whereby no interdependencies exist between the state of the climate and WEF resources, as constrained by sustainable development options. The results show that the proposed hypothesis does not hold, but rather, an alternative hypothesis (Ha)-there exist linkages between climate change and WEF resources-holds. This is demonstrated by the descriptive statistics indicating

Indexed as

climate changestructural equation modelingsustainabilityWEF resources

Identifiers

PMID40093642
PMCPMC7617494

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.