Participation of Emerging Commercial Farmers in the Strategic Private-Sector Investment Interventions
Sandile Jason Mnikathi (),
Simphiwe Innocentia Hlatshwayo,
Ojo Temitope and
Mjabuliseni Simon Cloapas Ngidi ()
Additional contact information
Sandile Jason Mnikathi: Department of Agricultural Extension and Rural Resource Management, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3201, South Africa
Simphiwe Innocentia Hlatshwayo: Department of Agricultural Extension and Rural Resource Management, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3201, South Africa
Ojo Temitope: Department of Agricultural Extension and Rural Resource Management, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3201, South Africa
Mjabuliseni Simon Cloapas Ngidi: Department of Agricultural Extension and Rural Resource Management, School of Agricultural, Earth and Environmental Sciences, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Private Bag X01, Scottsville, Pietermaritzburg 3201, South Africa
Agriculture, 2025, vol. 15, issue 5, 1-14
Abstract:
Private sector investment interventions serve as essential mechanisms for creating efficient, cost-effective financial solutions and technological support for emerging farmers in developing economies, yet their successful implementation is influenced by various contextual and socioeconomic factors. Using a quantitative research approach, this study examined the factors influencing participation in private sector investment interventions among 121 emerging commercial farmers in KwaZulu-Natal, South Africa, utilizing a Poisson regression model to analyze four key intervention areas: credit access, market access, technical support, and spot supply. The first-hurdle model revealed that age and training skills negatively influenced market access while the training period showed positive influence, and similarly, the second-hurdle equation demonstrated that employment status and training period positively influenced participation intensity levels, though age maintained its negative impact. The findings of the first-hurdle model reveal that age and training skills negatively influenced market participation. The study concludes that employment status and training period positively impacted technical support adoption, with household size and training period emerging as significant determinants of intervention success. The private sector needs to develop strategic partnership models that encourage emerging farmers to participate intensively in interventions that are designed to improve their production and productivity. There is a need for targeted capacity-building programmes and enhanced extension services to improve emerging commercial farmers’ participation in private-sector initiatives.
Keywords: emerging farmers; commercial farmers; investment intervention; double-hurdle model; South Africa (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2077-0472/15/5/450/pdf (application/pdf)
https://www.mdpi.com/2077-0472/15/5/450/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jagris:v:15:y:2025:i:5:p:450-:d:1595624
Access Statistics for this article
Agriculture is currently edited by Ms. Leda Xuan
More articles in Agriculture from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().