<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-21T11:17:26.562136091Z</responseDate><request verb="GetRecord" identifier="oai:repository.nwu.ac.za:10394/16203" metadataPrefix="dim">https://repository.nwu.ac.za/server/oai/request</request><GetRecord><record><header><identifier>oai:repository.nwu.ac.za:10394/16203</identifier><datestamp>2021-01-15T10:17:00Z</datestamp><setSpec>com_10394_26463</setSpec><setSpec>col_10394_26478</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Ruhiiga, T.M.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Kasumba, Harrison</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="researchID">11805994 - Ruhiiga, Tabukeli Musigi (Supervisor)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-02-07T10:57:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-02-07T10:57:55Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/10394/16203</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (PhD.(Geography) North-West University, Mafikeng Campus, 2014</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The study was conducted in order to test the application of the social accounting matrix-based&#xd;
structural path analysis to urban agriculture at the local level. This was part of an attempt to&#xd;
advance an alternative methodology that could guarantee higher levels of precision and&#xd;
reliability in the measurement and analysis of the role of urban agriculture. A quantitative&#xd;
field survey research design characterised by stratified random sampling of respondents and&#xd;
consultation of secondary SAM data based on South Africa already in the public domain&#xd;
were used. Field observation and administration of interviews were the main primary data&#xd;
collection methods. In-depth literature review helped to establish elements of SAM-based&#xd;
SPA and the conditions that favour its application to urban agriculture at the local level. The&#xd;
prerequisites for application of SPA include regular data capturing on the performance of an&#xd;
activity in local and national accounts and compilation of local SAMs. The lack of a local&#xd;
SAM for Lukhanji could not allow feeding the collected primary data into such a local SAM&#xd;
for analysis using the SimSIP SAM software. As a result of the dominance of subsistence&#xd;
farming operations in the study area the primary data generated could not be deployed in&#xd;
testing the requirements for application of SPA. Descriptive statistical techniques were&#xd;
applied to the primary data sets and inferential statistical methods including the Pearson's&#xd;
chi-square analysis and variance of analysis (ANOVA) were used to analyse primary data&#xd;
and to test the study hypotheses. The results show poor performance in terms of gross and net&#xd;
output value, contribution to household income, food security, low levels of participation in&#xd;
market processes, and employment in the local economy. These results reveal that little is&#xd;
known about the internal operations of urban agriculture.&#xd;
Quantitative based studies can help in bridging this gap. Lack of formalization,&#xd;
commercialization, low capital investment, minimal use of intensive farming techniques,&#xd;
minimal participation in the mainstream market economy are the key factors that impact&#xd;
urban agriculture performance in Lukhanji. Contemporary descriptive and qualitative-based&#xd;
studies have not generated sufficient statistics that can help in tracing the growth patterns of&#xd;
the activity over time and space. The environment that favours application of SPA to the&#xd;
activity requires the formalization and commercialization, regular capture of data on&#xd;
performance in local and national accounts, and compilation of local SAMs.&#xd;
The contribution of this research centres on several issues. It has highlighted current&#xd;
limitations in contemporary approaches in the study and analysis of urban agriculture. It has&#xd;
brought to the fore possibilities for the application of SPA method to raise the level of&#xd;
reliability in measurement of the activity. The study has shown that the nature of the activity&#xd;
is poorly understood partly because no standard classification framework exists and&#xd;
quantifying the contribution to the household economy remains an area requiring further&#xd;
research.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="thesistype" lang="en_US">Doctoral</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">en</dim:field>
   <dim:field mdschema="dc" element="publisher">North-West University</dim:field>
   <dim:field mdschema="dc" element="title" lang="en">Testing the application of social accounting matrix-based structural path analysis to urban agriculture in the Eastern Cape, South Africa</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
   <dim:field mdschema="others" element="access-status">open.access</dim:field>
</dim:dim></metadata></record></GetRecord></OAI-PMH>