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Assessing the Impact of Privatizing Public Agricultural Extension Services on Smallholder Farmers’ Performance: A Case Study of Thulamela and Collins Chabane Municipalities, South Africa Cover

Assessing the Impact of Privatizing Public Agricultural Extension Services on Smallholder Farmers’ Performance: A Case Study of Thulamela and Collins Chabane Municipalities, South Africa

Open Access
|Mar 2025

Figures & Tables

Fig. 1.

Study site, Vhembe District, Limpopo Province
Source: own elaboration, 2022.
Study site, Vhembe District, Limpopo Province Source: own elaboration, 2022.

Parameter estimates of the multiple linear regression on smallholder farmers’ performance

Independent variablesCoefficientsRobust std. errorsp > zMarginal effects

12345
Age798.51331415.5720.5731415.572
Gender5114.0132718.2330.0612718.233*
Marital status−616.3791414.9430.663–1414.943
Education level488.6291672.5310.7701672.531
Household size379.4328546.65390.488546.6539
Land size895.5041630.6850.5831630.685
Credit access–9052.2744055.3560.026–4055.356**
Market access–4014.013853.3360.2983853.336
Access to public extension–7561.9353320.0660.023–3320.066*
Access to privatised extension24570.5884185.1320.0337663.778**
Farming experience–908.90991656.3410.584–1656.341
Extension feedback12641.123090.4670.0003090.467***
Farm input3223.2611518.5730.0351518.573**
Market price information access5766.1133562.4120.0141970.345**
Membership in farmer cooperatives4689.3453677.5340.0812703.57*
Climate adaptation practices3274.0422761.3360.0711782.73**
Constant17426.898839.2410.050
Number of observations = 319, R2 = 0.706, P > F = 0.000.

Parametric One-way ANOVA results between smallholder farmers’ performance and socioeconomic parameters

Variable (Mean)MeasureAnnual income from farmers’ productionnp-value

12345
Age<2512175.0012ns
26–3515256.7435
36–4516571.7654
46–5521631.7588
56–6515978.5852
66>17235.9078
Marital statusSingle19489.5190
Married16543.91149ns
Divorced15650.6715
Widowed18461.2665
Never attended18475.03
Educational levelPrimary school15880.6235
Secondary school19031.2676ns
Tertiary16479.42146
Household size1–520745.60180***
6–1029650.00133
11–1515678.576
Farm size (hectares)<1 hectare17778.5857
1 hectare15962.55146ns
1–5 hectare20439.51102
5>16078.5714
Farming experience<1020239.5985
11–2015089.5399ns
21–3014876.7166
31>21126.8169
Climate adaptation practicesNo adaptation1556.3455
Moderate adaptation1734.37115**
High adaptation1876.46149

Description of variables used in the multiple linear regression model

Dependent variableDescriptionUnit of measurement

123
Annual income from farmers’ productionTotal income earned by the household headRand (R)
Independent variablesDescription and unit of measurementExpected sign
AgeCategorical: level of household head age in years+
GenderBinary: 1 if the head is male and 0 if female+/−
Marital statusCategorical: marital status level of household head+
Education levelCategorical: educational level of the household head+
Household sizeCategorical: level of family size in numbers
Land sizeCategorical: level of land size in hectares+
Credit accessBinary: 1 if access credit and 0 otherwise+
Market accessBinary: 1 if access market and 0 otherwise+
Access to public extensionBinary: 1 if has access to public extension service and 0 otherwise+
Access to privatised extensionBinary: 1 if has access to privatized extension service and 0 otherwise+
Farming experienceCategorical: level of farming experience of the head in years+
Extension feedbackBinary: 1 Extension feedback length too long and 0 otherwise_
Climate adaptation practicesCategorical: Climate adaptation practices+
Farm inputBinary: 1 has access and 0 has no access+
Market price information accessBinary: 1 has access and 0 has no access+
Membership in farmer cooperativesBinary: 1 member and 0 non-member+

T-test results for Determinants of smallholder farmers’ performance in the study area

Variable (mean)MeasureAnnual income from farmers’ productionnp-value

12345
Access to public extension servicesNo11588.1369***
Yes19417.04250
Access to privatised extension servicesNo16906.8134**
Yes24570.59285
GenderMale13749.13128***
Female20387.18191
Extension feedback lengthToo long12610.02190***
Not too long21195.52129
Market accessNo14216.49211***
Yes19518.77108
Credit accessNo17498.93232ns
Yes17807.9187
Farm inputHas access4178.56279**
No access1753.4940
Market price information accessHas access2222.56279**
No access2347.8840
Membership in farmer cooperativesMember3567.02280**
Non-member1780.5639

Socio-economic demographic profiles of smallholder farmers

Household characteristicsStudy areaTotal (n = 319)Percentage (%)

Collins Chabane municipalityThulamela municipality
12345
GenderMale646412840
Female1345719160
Age<2584124
26–3520153511
36–4536185417
46–5551378828
56–6540125216
66>43357825
Marital statusSingle60309028
Married886114947
Divorced87155
Widowed42236520
Educational levelNever attended21143511
Primary school4036762
Secondary school1004614646
Tertiary37256219
Household size1–51156518057
6–0815213342
11–152462
DOI: https://doi.org/10.17306/j.jard.2025.00004r1 | Journal eISSN: 1899-5772 | Journal ISSN: 1899-5241
Language: English
Page range: 125 - 135
Accepted on: Mar 20, 2025
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Published on: Mar 31, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Rudzani V.A. Mudzielwana, Mutondwa Phophi, Paramu Mafongoya, published by The University of Life Sciences in Poznań
This work is licensed under the Creative Commons Attribution 4.0 License.