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Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa

Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2022.

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Other Authors: Karuaihe, Selma Tuemumunu
Format: Thesis
Language:English
Published: University of Pretoria 2022
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access_status_str Open Access
author2 Karuaihe, Selma Tuemumunu
author_browse Karuaihe, Selma Tuemumunu
author_facet Karuaihe, Selma Tuemumunu
collection Thesis
dc_rights_str_mv © 2022 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.
description Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2022.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:40:43.223Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/88844 Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa Karuaihe, Selma Tuemumunu hannokriek@gmail.com Jourdain, Damien Kriek, Carel Johannes UCTD Mokala National Park Tourists preferences Discrete choice experiment Latent class analysis Willingness to pay (WTP) Mini Dissertation (MSc Agric (Agricultural Economics))--University of Pretoria, 2022. Due to the extreme decimation of species worldwide, there is a need to conserve and protect more natural areas and biodiversity. A way to ensure species' survival across areas, is to rewild a protected area or nature reserve by reintroducing regionally extinct fauna and flora, or removing invasive species. In developing countries, these protected areas are generally underfunded and underdeveloped, and therefore may have limited capacity to conserve the wildlife, and/or rewild the park to its previous natural state. This study utilised a discrete choice experiment to determine the preferences and ‘appreciative value’ tourists place on different natural characteristics of the park, in the context of rewilding. This study analysed the responses of 288 tourists from Mokala National Park in the Northern Cape, South Africa, using online questionnaires. The respondent's preferences were drawn from the completed questionnaires by the tourists who have visited the park since its inception in 2007. The natural characteristics ranged from (1) reintroducing carnivores such as lions or cheetahs back into the park, (2) removing non-native species, whether threatened or non-threatened, and (3) boosting endangered species populations such as roan antelope, black rhino and tsessebe. A latent class model was created to identify heterogeneity in the preferences amongst the sampled population. It was determined that there is heterogeneity and that the sampled tourists had varying preferences to rewild the national park to its previous biological state. Respondents of the four classes, strongly preferred reintroducing cheetahs back into the park above a pride of lions. All classes had significant preference for boosting the numbers of endangered black rhinos compared to the status quo. Only 11.20% of the respondents wanted to completely rewild the park by removing the non-native species and reintroducing all the other species identified. Thus, 88.20% of respondents did not support removing the non-native species regardless of their status, either threatened (sable antelope) or non-threatened (impala, nyala and waterbuck). The results provide a basis that rewilding improvements could be initiated, and better park management policies could be implemented, to attract tourists and more successfully rewild the park . Yet, tourists had an affinity for more species diversity in the park above protecting the natural ecosystem. Further research can be done to expand on whether there is a preference for species based on their status, such as being endangered, iconic, carnivore, or megafauna. Agricultural Economics, Extension and Rural Development MSc Agric (Agricultural Economics) Unrestricted 2022-12-20T12:57:06Z 2022-12-20T12:57:06Z 2023-04 2022 Mini Dissertation * A2023 https://repository.up.ac.za/handle/2263/88844 DOI: https://doi.org/10.25403/UPresearchdata.20480022 https://doi.org/10.25403/UPresearchdata.20480022 en © 2022 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. application/pdf University of Pretoria
spellingShingle UCTD
Mokala National Park
Tourists preferences
Discrete choice experiment
Latent class analysis
Willingness to pay (WTP)
Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title_full Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title_fullStr Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title_full_unstemmed Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title_short Estimating the value of natural characteristics of a national park : the case of Mokala National Park in South Africa
title_sort estimating the value of natural characteristics of a national park the case of mokala national park in south africa
topic UCTD
Mokala National Park
Tourists preferences
Discrete choice experiment
Latent class analysis
Willingness to pay (WTP)
url https://repository.up.ac.za/handle/2263/88844
https://doi.org/10.25403/UPresearchdata.20480022