An Analysis of Livestock Theft in South Africa (2013-2023): Towards a Deeper Understanding of Livestock Dynamics for Enhanced Countermeasures

Livestock theft poses a significant challenge to the agricultural sector in South Africa, impacting farmers’ livelihoods, food security, and economic stability. This article analyses livestock theft in South Africa for the ten-year period from 2013 to 2023. It draws on existing literature, government statistics, and analyses of livestock theft statistics. The study identifies the key factors contributing to livestock theft, including regional disparities, seasonal patterns, and the involvement of organised crime. Key findings reveal a steady decline in reported cases from the 2018/2019 financial reporting year, even though the number of stolen livestock has remained relatively high. This is indicative of underreporting, livestock theft incidents; closed-circuit television (CCTV) and surveillance measures; that have had an influence on the data. Practical recommendations are made for combating livestock theft, including improving reporting mechanisms; conducting targeted research on regional hotspots; implementing interventions during peak theft periods; fostering stakeholder collaboration; and increased investment in the training and capacity-building initiatives for law enforcement agencies. This article contributes to understanding the complexities of livestock theft in South Africa. It offers actionable recommendations for policymakers, law enforcement agencies, and agricultural stakeholders to address this pressing issue and protect the economic livelihoods of farming communities.

Authors

Institutions

Publication Details

Journal
International Journal of Rural Criminology
Published
2024-09-16
DOI
https://doi.org/10.18061/ijrc.v8i3.9999
Citations
3
Primary Topic
Animal Disease Management and Epidemiology
Type
article
Field-Weighted Citation Impact
1.70
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis of Livestock Theft in South Africa (2013-2023): Towards a Deeper Understanding of Livestock Dynamics for Enhanced Countermeasures

Willie Clack
3 citations
International Journal of Rural Criminology
Animal Disease Management and Epidemiology
1.70
article

An Analysis of Livestock Theft in South Africa (2013-2023): Towards a Deeper Understanding of Livestock Dynamics for Enhanced Countermeasures

Willie Clack
article en
3 citations

Abstract

Livestock theft poses a significant challenge to the agricultural sector in South Africa, impacting farmers’ livelihoods, food security, and economic stability. This article analyses livestock theft in South Africa for the ten-year period from 2013 to 2023. It draws on existing literature, government statistics, and analyses of livestock theft statistics. The study identifies the key factors contributing to livestock theft, including regional disparities, seasonal patterns, and the involvement of organised crime. Key findings reveal a steady decline in reported cases from the 2018/2019 financial reporting year, even though the number of stolen livestock has remained relatively high. This is indicative of underreporting, livestock theft incidents; closed-circuit television (CCTV) and surveillance measures; that have had an influence on the data. Practical recommendations are made for combating livestock theft, including improving reporting mechanisms; conducting targeted research on regional hotspots; implementing interventions during peak theft periods; fostering stakeholder collaboration; and increased investment in the training and capacity-building initiatives for law enforcement agencies. This article contributes to understanding the complexities of livestock theft in South Africa. It offers actionable recommendations for policymakers, law enforcement agencies, and agricultural stakeholders to address this pressing issue and protect the economic livelihoods of farming communities.

International Journal of Rural CriminologyVol. 8(3)
Department of Correctional Services (ZA)
Openalex Percentile: Top 16%
Animal Disease Management and Epidemiology
1.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.