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Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis

Thesis (PhD (Political Science))--University of Pretoria, 2022.

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Other Authors: Sadie, Yolanda
Format: Thesis
Language:English
Published: University of Pretoria 2023
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access_status_str Open Access
author2 Sadie, Yolanda
author_browse Sadie, Yolanda
author_facet Sadie, Yolanda
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 Thesis (PhD (Political Science))--University of Pretoria, 2022.
format Thesis
id oai:repository.up.ac.za:2263/89189
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:38:33.011Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/89189 Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis Sadie, Yolanda heather.thuynsma@up.ac.za Schoeman, Maxi Thuynsma, Heather Anne UCTD Political will Illegal wildlife trade Wildlife conservation Complexity thinking South African wildlife policies Causal loop diagrams CONSIDEO MODELER software Thesis (PhD (Political Science))--University of Pretoria, 2022. This study sets out to generate a new approach to analysing the level of political will that drives South Africa’s illegal wildlife trade (IWT) policies. It uses complexity thinking to conceptualise the country’s policy making process as a complex system and then maps the feedback loops that a range of international and local actors and policies produce. This information and a more specific interpretation of political will were then used to develop a series of causal loop diagrams (CLDs) to assess the wider systemic impact of these interactions. The CLD analyses found that political will does indeed exist within the South African IWT policy system and that these policies and the political interests of policy makers often overlap. Moreover, this study found that the inaction of individual policy enforcement officers effects the level of political will throughout the system. Consequently, this inaction retards the system’s adaptability and allows the illegal trade to flourish. To build and sustain political will towards curbing IWT, this study finds that policy makers at all levels should build appropriate human and technical capacity. It proposes that by properly incentivising and training officials, policy makers will be able to garner sufficient political will to ensure the effectiveness of current policies. Political Sciences PhD (Political Science) Unrestricted 2023-02-07T07:16:32Z 2023-02-07T07:16:32Z 2023-05 2022 Thesis * A2023 https://repository.up.ac.za/handle/2263/89189 https://doi.org/10.25403/UPresearchdata.21977534 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
Political will
Illegal wildlife trade
Wildlife conservation
Complexity thinking
South African wildlife policies
Causal loop diagrams
CONSIDEO MODELER software
Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title_full Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title_fullStr Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title_full_unstemmed Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title_short Mapping political will within South Africa’s illegal wildlife trade policy system : a complexity thinking analysis
title_sort mapping political will within south africa s illegal wildlife trade policy system a complexity thinking analysis
topic UCTD
Political will
Illegal wildlife trade
Wildlife conservation
Complexity thinking
South African wildlife policies
Causal loop diagrams
CONSIDEO MODELER software
url https://repository.up.ac.za/handle/2263/89189
https://doi.org/10.25403/UPresearchdata.21977534