Determinants of participation in village banks and effects on the welfare of smallholder farmers in Ngaka Modiri Molema District, North West Province, South Africa
Abstract
Smallholder farmers are recognised worldwide, for the key role they play in ensuring food
security. However, their viability is constrained by many challenges with access to microfinance
as one of such challenges. These barriers have contributed to the exclusion of
smallholder farmers from formal credit markets. Thus, the project of village banks has been
initiated in order to improve savings habits and increase the chances of access to credit by
farmers. However, the objective of village banks has been deviated and has now become
business-oriented. This study analyses the impact of participation in village banks on the
welfare of smallholder farmers in Ngaka Modiri Molema District Municipality, North West
Province, South Africa.
A multi-stage sampling procedure was used to select both the participating and nonparticipanting
farmers in village banking. The first stage involved the purpose selection of 3
banks out of the five available using the vertical and horizontal analysis. The second stage
entail the random selection of 100 farmers from the list of farmers who participate in village
banking with the three selected banks, while a similar approach was used in selecting 100
farmers who did not participate in the district where each of the three banks located to serve
as control group. Primary data on socio-economic and demographic variables were collected
using a household questionnaire. A simultaneous equation model (SEM) and propensity score
matching technique (PSM) were used for data analysis.
It was found that variables such as gender, level of education, farming experience, size of the
land, per capita income and distance from office of a village bank were associated and
significant for decision by smallholder farmers to join a village bank.
The findings from the Simultaneous equation model (SEM) and propensity score matching
(PSM) are consistent across the two methods. The results reveal that the effect of village
banks on smallholder farmer’s per capita expenditure is strong. The results also indicate that
participation increased per capita expenditure by 83.85% and variables such as marital status,
dependency ratio, main occupation and distance are negatively significant for per capita
expenditure while only income per capita and technology applied positively influence per
capita expenditure. The PSM results showed that the Average treatment of treated (ATT)
with kernel matching, nearest neighbor matching and radius matching was 0.58, which is an
indication that if a smallholder farmer participates in a village bank, his annual per capita
expenditure will increase by 58%.
In conclusion, non-members of village banks had better socio-economic characteristics which
could assist in enhancing their welfare better than those who belong to village banks. The null
hypothesis that socio-economic and demographic factors do not influence a smallholder
farmer’s decision to join a village bank was partially rejected and participation in a village
bank positively affects the annual per capita expenditure of smallholder farmers. However,
more needs to be done in terms of providing expertise training, improving saving behaviour,
developing a specific curriculum on micro-finance, empowerment on land, promoting the
participation of more women, creation of more community-based initiatives in terms of
village banks in order to meet the expectations and initiatives of village banks in South
Africa.