The Socio-Economic Benefit of the Livestock Traceability System on Communal Beef Farmers in Swaziland

Authors

  • Tania Prinsloo University of Pretoria
  • Carina De Villiers University of Pretoria
  • Cheryl M E McCrindle University of Pretoria

DOI:

https://doi.org/10.15353/joci.v14i2-3.3414

Keywords:

Food safety, Traceability, Communal Farmers, Case study, Swaziland

Abstract

In this article, Swaziland is placed in the forefront as a small African country that implemented a livestock traceability system to benefit both communal and commercial farmers. The communal farmers are also able to export beef to European countries, markers that were previously unavailable to them, due to the successful implementation of the Swaziland Livestock Information and Traceability System (SLITS).  Livestock traceability is briefly explained to align it with the importance of safe food production for human consumption and a few aspects are highlighted. The traceability systems is further explained in terms of its benefit to the rural economy, its role in growing the GDP and the realization of its aims as was initially expected by the Swazi Government. The data collection methods used were a document review, a case study and five interviews. It is concluded that livestock traceability systems should be adopted wider by other developing countries as it has a direct effect on the improvement of the socio-economic conditions of the rural poor. Its development and implementation remains very expensive, but Swaziland can be used as an example of a country that is able to reap the rewards from a commodity that is ample in their country, but scarce globally, leading to wider food sustainability.

Author Biographies

Tania Prinsloo, University of Pretoria

Lecturer: Department of Informatics

Carina De Villiers, University of Pretoria

Professor and Head of Department of Informatics at the University of Pretoria

Cheryl M E McCrindle, University of Pretoria

Emeritus Professor: School of Health Science, University of Pretoria

Downloads

Published

2018-11-22

Issue

Section

Research Articles