Factors affecting smallholder farmers' participation in agro-processing industry

The aim of the study was to identify smallholder farmers participating in agro-processing and factors influencing their choice of participation. The study was conducted in Gauteng Province on a randomly purposive selected sample of 102 smallholder farmers. Data was collected through a structured questionnaire that was administered face-to-face to respondents. A probit regression model was used to determine factors influencing farmers� participation in agro-processing. The results show that only 19% of the sampled respondents are participating in the agro-processing industry of Gauteng Province. The results also revealed that factors such as educational level, land tenure, agro-processing training and information have a positive influence on agro-processing participation. Yet, distance to market and off-farm income negatively influence the decision to participate in agro-processing. However, there are challenges that need to be addressed in order for them to participate to their potential (i.e. lack of access to infrastructure, transport, poor knowledge on agro-processing norms and standards, poor finance and high cost of production). The study recommended for development of strategies that could realistically increase access of friendly investment capital to potential smallholder farmers to start their own small-scale agro-processing businesses, intensification of awareness of farmers on micro-financing institutions, and building local agro-processing plants. Keywords: Agro-processing industry; Smallholder; Probit regression; Challenge

Factors affecting smallholder farmers' participation in agro-processing industry

The aim of the study was to identify smallholder farmers participating in agro-processing and factors influencing their choice of participation. The study was conducted in Gauteng Province on a randomly purposive selected sample of 102 smallholder farmers. Data was collected through a structured questionnaire that was administered face-to-face to respondents. A probit regression model was used to determine factors influencing farmers� participation in agro-processing. The results show that only 19% of the sampled respondents are participating in the agro-processing industry of Gauteng Province. The results also revealed that factors such as educational level, land tenure, agro-processing training and information have a positive influence on agro-processing participation. Yet, distance to market and off-farm income negatively influence the decision to participate in agro-processing. However, there are challenges that need to be addressed in order for them to participate to their potential (i.e. lack of access to infrastructure, transport, poor knowledge on agro-processing norms and standards, poor finance and high cost of production). The study recommended for development of strategies that could realistically increase access of friendly investment capital to potential smallholder farmers to start their own small-scale agro-processing businesses, intensification of awareness of farmers on micro-financing institutions, and building local agro-processing plants. Keywords: Agro-processing industry; Smallholder; Probit regression; Challenge