Sustainability of Rural Small-Scale Farmers Using a Thematic Content-Fed Analytic Hierarchy Process
Oratilwe Penwell Mokoena (),
Thembelihle Sam Ntuli,
Tshepo Ramarumo and
Solly Matshonisa Seeletse
Additional contact information
Oratilwe Penwell Mokoena: Department of Statistical Sciences, Sefako Makgatho Health Sciences University, Molotlegi St., Ga-Rankuwa Zone 1, Pretoria 0208, South Africa
Thembelihle Sam Ntuli: Department of Statistical Sciences, Sefako Makgatho Health Sciences University, Molotlegi St., Ga-Rankuwa Zone 1, Pretoria 0208, South Africa
Tshepo Ramarumo: Department of Statistical Sciences, Sefako Makgatho Health Sciences University, Molotlegi St., Ga-Rankuwa Zone 1, Pretoria 0208, South Africa
Solly Matshonisa Seeletse: Department of Statistical Sciences, Sefako Makgatho Health Sciences University, Molotlegi St., Ga-Rankuwa Zone 1, Pretoria 0208, South Africa
Sustainability, 2023, vol. 15, issue 15, 1-22
Abstract:
Small-scale dairy farming plays a pivotal role in the development of rural economies and has become a key source for job creation and poverty alleviation. However, the survival rate of these enterprises is compromised due to multifaceted challenges. As a result, the newly established or emerging small scale dairy businesses are not sustainable. The objective of this paper is to therefore investigate the determinants affecting sustainability of small-scale dairy enterprises and to develop a framework for failure minimization. The study used purposive snowball sampling techniques to invite small-scale dairy farmers (SSDFs) in Bojanala Platinum District, North West Province, South Africa. The data were analyzed using thematic content analysis (TCA) for factor derivation and ranked using the analytic hierarchy process (AHP). The study revealed the high cost of agricultural inputs, medication and electricity, followed by a lack of agricultural services, and unpredictable weather patterns due to climate change, which were regarded as priority factors proliferating high failure levels and unsustainability by the local farmers. Meanwhile, loadshedding and cattle theft were regarded as low priority factors affecting farming sustainability. The high level of failure in this industry diminishes the chances of farmers to obtain funding or credit; poorer farmers end up falling back into poverty as a consequence of market circumstances beyond their control. The paper concludes that small-scale dairy farming should be revised as part of a broader livelihood strategy by all stakeholders, while continuously pursuing alternative access points to achieve prosperous rural livelihoods, local market information and access, and risk optimization. With the prospects of future climate, geopolitical and environmental crisis, considering how local small-scale dairy farmers (SSDFs) react and use information technology is vital to their sustainability and providing policy relevant knowledge. Furthermore, the SSDFs should be exposed to agricultural funders in their localities, and also access to agricultural sector training authority (AGRISETA) services should be made available for local farmers to receive training for proposal writing to apply for funds.
Keywords: analytic hierarchy process; small-scale dairy farmers; sustainable dairy farming; thematic content analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/15/15/11983/pdf (application/pdf)
https://www.mdpi.com/2071-1050/15/15/11983/ (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:jsusta:v:15:y:2023:i:15:p:11983-:d:1210262
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().