Assessment of homegarden agroforestry for sustainable land management intervention in a degraded landscape in south africa

Author(s):  
Constansia Musvoto ◽  
Juniet. Kgaphola ◽  
Jean‐Marc Mwenge Kahinda
2021 ◽  
Vol 5 ◽  
Author(s):  
Oluwaseun Samuel Oduniyi ◽  
Sibongile Sylvia Tekana

Agricultural information plays a vital role in adopting agricultural technology. The study explored if information acquisition is related to the adoption of sustainable land management practices (SLMP) and jointly decided in Mpumalanga Province of South Africa. Primary data were collected through face-to-face interviews, using a proportionate random sampling technique to get 250 smallholder farmers to participate in the survey. A seemingly unrelated bivariate probit (SUBP) model and a recursive bivariate probit (RBP) model were adopted to examine the objective. The statistical estimation of the SUBP showed that there is a relationship, an empirical association between information acquisition and SLMP; while RBP estimation showed that information acquisition was exogenous in the adoption model; thus, the decision to acquire information and adopt SLMP was not jointly decided. Therefore, the study presents the determinants of information acquisition alongside with the adoption of SLPM. The result from the SUBP model, indicated that the years spent in school; agricultural extension service; the number of extension visits and the years of farming, influenced both information acquisition and the adoption of SLMP. The cost attached positively influenced the adoption of SLMP; while gender, marital status and age only influenced the information acquisition.


Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 508
Author(s):  
Oluwaseun Samuel Oduniyi ◽  
Sibongile Sylvia Tekana

This study investigated the impact of Sustainable Land Management Practices (SLMP) on the smallholder maize farmer’s welfare in the Gert Sibande District in the Mpumalanga Province of South Africa. Farmers’ welfare is paramount to agricultural development and rural vitalisation, especially in sub-Saharan Africa. The aim of the study is to identify the factors that influence the adoption of SLMP and to assess its impact on the net farm income. A multivariate-probit (MVP) model was used to analyse the determinants of SLMP adopted and an efficient endogenous switching regression model (ESRM) was used to estimate the impact of SLMP on the net farm income of the smallholder maize farmers. The MVP results show that household socio-economic characteristics and institutional factors statistically influenced the choice of SLMP. Subsequently, the pair-wise correlation matrix of the MVP model revealed complementarities among all SLMP implemented by the farmers. Similarly, the ESRM treatment effect indicated that the average net farm income of farmers who adopted SLMP were significantly higher than that of the group who did not. Consequently, the study recommended support policies on farmers’ demography, farm-based characteristics, and institutional factors to improve the welfare of the farmers and promote rural vitalisation.


Author(s):  
Julian Dumanski ◽  
Samuel Gameda ◽  
Christian Pieri ◽  

1995 ◽  
Vol 32 (5-6) ◽  
pp. 145-151
Author(s):  
D. B. Versfeld

South Africa has hundreds of thousands of hectares of heavily populated and badly degraded landscapes. Past attempts at land management have been either through avoidance or the top-down imposition of “betterment” schemes. Participatory methods offer a new opportunity for communities living within these catchments to share their knowledge and to become involved in planning and implementing the management process. This paper discusses the use of Participatory Rural Appraisal (PRA) in a catchment rehabilitation programme in rural KwaZulu/Natal, the lessons learnt and the prospects for wider application.


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