An assessment of the impact of animal traction on rural household food security: a case of Damane rural community of Cofimvaba in the Eastern Cape Province of South Africa

This dissertation assesses the impact of animal traction on rural household food security. Since rural communities do not have sufficient agricultural capital to purchase improved agricultural technologies for better crop production, and often lack knowledge and skills to apply improved technologies low-cost alternatives must be sought. For these reasons, animal traction has been seen by researchers as an affordable, easy-to-use, sustainable and appropriate operation for crops production in rural areas. Animal traction has been long used and it continues to be used in rural areas to improve food insecurities. But the system confronts a number of constraints that impede the development of its full potential and these should be addressed in order to reap the full benefits of agricultural restructuring in the rural areas. A study was carried out in Damane rural village under Ntsika Yethu Municipality in the Eastern Cape where animal traction is very popular. A total of 80 small-scale farmers were interviewed by means of structured questionnaires to collect data from adopters and non-adopters of animal traction. A wide range of analytical techniques were employed to assess the impact of animal traction on household food production. Descriptive statistics was employed for analyses of demographic, agricultural production process of the surveyed households and challenges encountered by households. Multiple Linear Regression was applied to determine the factors affecting animal traction use and the extent to which they contribute to gross farm production. The results of the multiple linear regressions showed that animal traction played a significant role in the total output of all the crops produced last season. The results of the t- tests showed that animal traction was the most effective technology compared to the simple hand-tools such as fork, fork spade and hoes. The binary logistic regression was employed to test the probability that resource poor households would adopt animal traction technology. It is therefore recommended that government should support animal traction users by providing all the necessary resources for development of animal in rural South Africa