<?xml version="1.0" encoding="UTF-8"?>
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<title>Pilot Study</title>
<link href="http://hdl.handle.net/123456789/1657" rel="alternate"/>
<subtitle>Report</subtitle>
<id>http://hdl.handle.net/123456789/1657</id>
<updated>2026-04-13T12:22:57Z</updated>
<dc:date>2026-04-13T12:22:57Z</dc:date>
<entry>
<title>Development of a Climate Change  Jurisdiction Vulnerability Index in  South Africa</title>
<link href="http://hdl.handle.net/123456789/1658" rel="alternate"/>
<author>
<name>Human Sciences, Research Council</name>
</author>
<id>http://hdl.handle.net/123456789/1658</id>
<updated>2025-07-30T09:49:48Z</updated>
<published>2025-07-30T00:00:00Z</published>
<summary type="text">Development of a Climate Change  Jurisdiction Vulnerability Index in  South Africa
Human Sciences, Research Council
Climate change is an escalating global crisis characterised by rising temperatures, shifting weather &#13;
patterns, and increasing frequency of extreme weather events. These changes have far-reaching impacts &#13;
on natural ecosystems and human societies, with significant consequences for communities worldwide. &#13;
This pilot study aimed to establish a Climate Change Jurisdictional Vulnerability Index (CC-JVI) to assess &#13;
community-level vulnerabilities in the face of climate change in South Africa. The research revealed &#13;
significant disparities in the availability and quality of data across targeted communities, which affected &#13;
accurate vulnerability assessments. The key objective of this study was to evaluate the feasibility of utilising &#13;
local-level data for the CC-JVI. However, challenges emerged due to the incomplete and heterogeneous &#13;
nature of data at the local level. Most critical metrics for vulnerability assessment are relatively more &#13;
available at the district, provincial, and national levels. However, qualitative data collected through Focus &#13;
Group Discussions (FGDs) provided rich contextual data that is critical to vulnerability assessment and, &#13;
more importantly, identification of entry points for interventions to mitigate and adapt to climate change. &#13;
To address these data challenges, the research adopted another secondary data collection technique, &#13;
leveraging Statistics South Africa census data from 2011 and 2022, alongside NASA’s online database. &#13;
This data was normalised and analysed using various statistical methods, revealing significant regional &#13;
variations in climate vulnerability. KwaZulu-Natal (KZN) exhibited heightened variability attributed to &#13;
extreme weather events, while Mpumalanga (MP) demonstrated a stable warming trend. Vulnerability &#13;
indices categorised the Eastern Cape (EC), KZN, and MP as “moderately vulnerable,” while Limpopo (LP) &#13;
was classified as “vulnerable”, emphasising the necessity of localised assessments. Assessments for &#13;
2001 to 2022 show that temperature changes were significant across regions, particularly in KZN and MP. &#13;
All provinces, including Limpopo, show significant vulnerability despite observable differences in some &#13;
aspects. These findings indicated the importance of adapting vulnerability assessments to specific regional &#13;
contexts and emphasised the value of integrating both qualitative and quantitative data into the CC-JVI &#13;
framework. In conclusion, this study laid a foundational framework for enhancing climate resilience by &#13;
developing a CC-JVI that reflected regional climatic and socio-economic disparities. Recommendations &#13;
from this study include establishing a centralised data repository to improve data accessibility and &#13;
quality, implementing community-based data collection programs, and fostering collaboration among &#13;
stakeholders. Furthermore, integrating climate adaptation strategies into existing national policies and &#13;
prioritising localised initiatives to empower communities to build resilience against climate impacts. A &#13;
phased, iterative approach to index development was deemed essential in ensuring the involvement of &#13;
local communities in validating the index.
Report
</summary>
<dc:date>2025-07-30T00:00:00Z</dc:date>
</entry>
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