dc.contributor.advisor |
Yacim, Joseph |
|
dc.contributor.coadvisor |
Zulch, Benita |
|
dc.contributor.postgraduate |
Ngubeni, Steven Piet |
|
dc.date.accessioned |
2024-08-02T07:48:06Z |
|
dc.date.available |
2024-08-02T07:48:06Z |
|
dc.date.created |
2023-09 |
|
dc.date.issued |
2022-11 |
|
dc.description |
Thesis (PhD (Real Estate))--University of Pretoria, 2022. |
en_US |
dc.description.abstract |
The observed prevalence of objections to the municipal valuation rolls in the
metropolitan municipalities in South Africa suggests the existence of valuation
inaccuracy. Research has revealed that valuation inaccuracy is more prevalent
in mass valuation compared to single property valuations. It is also attributable
to the absence or lack of valuation standards guiding professional valuers on
mass valuation. Most countries using ad valorem tax subscribe to the notion of
standardising valuation practices with the hope of improving valuation
accuracies. Thus, the international valuations fraternity takes a leaf from the
International Association of Assessing Officers (IAAO’s) Standards for Mass
Appraisal of Real Property.
The research also revealed that while many countries recognise the IAAO’s
standards, there is a compelling case for localisation of mass valuation standard.
South Africa, as a free-market economy, is no exception to this international
movement. The localisation of standards by its very nature requires a clearer
understanding of the local socio-economic and cultural contexts. Thus, the main
objective of this study was to investigate and evaluate the use of valuation
principles and practices for mass valuation with a view to designing a framework
for the development of a mass valuation standard for the South African property
market.
A mixed method approach, which entails collecting requisite information through
interviews, surveys, focus group discussion and secondary (example property)
data, was adopted for the study. Consequently, purposive and snow-balling
sampling techniques were used to identify the interviewees, survey and focusgroup
participants, while the example property data was supplied by the City of
Johannesburg. The data collected through interviews and focus-group
discussions were analysed using the data analysis spiral approach. The data
collected through the questionnaire was subjected to a simple statistical
analysis. Additionally, statistical tests including, the Assessment Sale Ratio (ASR), the Price-Related Differential (PRD), the Price-Related Bias (PRB), the
Coefficient of Dispersion (COD), the Mean Absolute Percentage Error (MAPE),
and the Root Mean Squared Error (RMSE) were used to analyse the sampled
property data.
The results garnered from the analysis of the interviews, and the questionnaire
survey, revealed imperfections in mass valuation accuracy and uniformity in
South Africa. The results on the selected statistical measures show the scores
of 0.97 for the ASR, 1.022 and -1.01 were for PRD and PRB, respectively. In
addition, the scores for the COD, RMSE and the MAPE were found to be 9.60%,
R40 000.00 ($2 281.52) and 23.5% respectively. The scores on the first three
statistical measures are all within the parameters of acceptability of the IAAO
standards, while the last three measures do not have predetermined standards.
Overall, the results suggest negligible degree of inaccuracy and lack of
uniformity which denotes under-valuation in some property classes such as the
agriculture, industrial and commercial properties.
These results of the study led to the development of a framework for the
development of mass valuation standard for South Africa. It also led to the
formulation of questions for the focus-group discussions, which were used to
test and validate the proposed framework. These questions focused on whether
the proposed framework offers’ solutions aimed at improving valuation accuracy
in South Africa. The proposed framework addresses (1) the process of
developing the standards and (2) high-level discussion of substantive contents
of the standards. Thus, the proposed framework was affirmed by both focus
groups, since it provides a simplified guide that stakeholders involved in the
development of mass valuation standard could use. |
en_US |
dc.description.availability |
Unrestricted |
en_US |
dc.description.degree |
PhD (Real Estate) |
en_US |
dc.description.department |
Construction Economics |
en_US |
dc.description.faculty |
Faculty of Engineering, Built Environment and Information Technology |
en_US |
dc.identifier.citation |
* |
en_US |
dc.identifier.doi |
https://doi.org/10.25403/UPresearchdata.26405299.v1 |
en_US |
dc.identifier.other |
S2023 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/2263/97418 |
|
dc.identifier.uri |
https://doi.org/10.25403/UPresearchdata.26405299.v1 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
University of Pretoria |
|
dc.rights |
© 2021 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. |
|
dc.subject |
UCTD |
en_US |
dc.subject |
Mass valuation |
en_US |
dc.subject |
Mass valuation standard |
en_US |
dc.subject |
Valuation inaccuracy |
en_US |
dc.subject |
Valuation accuracy |
en_US |
dc.subject |
Sustainable Development Goals (SDGs) |
en_US |
dc.subject.other |
Engineering, built environment and information technology theses SDG-10 |
|
dc.subject.other |
SDG-10: Reduced inequalities |
|
dc.subject.other |
SDG-11: Sustainable cities and communities |
|
dc.subject.other |
Engineering, built environment and information technology theses SDG-11 |
|
dc.title |
A framework for the development of a mass valuation standard in South Africa |
en_US |
dc.type |
Thesis |
en_US |