Factors Influencing the Uptake of Agroforestry Practices among Rural Households: Empirical Evidence from the KwaZulu-Natal Province, South Africa.

Fortunate Nosisa Zaca, Mjabuliseni Simon Cloapas Ngidi, Unity Chipfupa, Temitope Oluwaseun Ojo, Lavhelesani Rodney Managa
Author Information
  1. Fortunate Nosisa Zaca: African Centre for Food Security, 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. ORCID
  2. Mjabuliseni Simon Cloapas Ngidi: African Centre for Food Security, 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. ORCID
  3. Unity Chipfupa: Department of Agriculture and Animal Health, School of Agriculture and Life Sciences, University of South Africa, 28 Pioneer Ave, Florida Park, Roodepoort 1709, South Africa. ORCID
  4. Temitope Oluwaseun Ojo: Department of Agricultural Economics, Obafemi Awolowo University, Ile-Ife 220101, Nigeria.
  5. Lavhelesani Rodney Managa: Human Sciences Research Council, Africa Institute of South Africa, 134 Pretorius Street, Pretoria 0002, South Africa. ORCID

Abstract

Agroforestry is recognized as a significant element in climate-smart agriculture due to its high potential for addressing food insecurity, climate change challenges, and ecosystem management. However, despite the potential benefits of agroforestry practices, the adoption by rural households in Sub-Saharan Africa is low. Adopting agroforestry practices requires understanding rural households' socio-economic and socio-psychological factors. Hence, this study empirically examined the role of knowledge, attitudes, and perceptions in the uptake of agroforestry practices among rural households to better understand the adoption process. A sample of 305 households was obtained from three communities, namely, Swayimane, Umbumbulu, and Richmond, in KwaZulu-Natal province. Principal component analysis and a binary logistic regression model were employed to analyze the data. Knowledge, attitudes, and perceptions towards agroforestry were found to positively influence the adoption of agroforestry practices. The results also revealed that age, farming experience, education level, and land size were determinants of agroforestry adoption. Therefore, the study recommends that policymakers, extension officers, and climate change champions consider rural households' socio-economic characteristics, knowledge, attitudes, and perceptions when designing agroforestry projects. Implementing training programs with practical demonstration is also recommended to increase awareness of the benefits of agroforestry practices and encourage rural households to protect on-farm trees and shrubs.

Keywords

References

  1. Jamba. 2018 Jan 31;10(1):492 [PMID: 29955264]
  2. Sustainability. 2022 Dec 16;14(24):16926 [PMID: 39077154]
  3. Heliyon. 2021 Apr 21;7(4):e06789 [PMID: 33981877]
  4. Global Health. 2019 Mar 19;15(1):22 [PMID: 30890178]
  5. Jamba. 2021 Jun 28;13(1):1061 [PMID: 34230848]
  6. Sensors (Basel). 2020 Oct 22;20(21): [PMID: 33105622]
  7. Heliyon. 2021 Feb 16;7(2):e06231 [PMID: 33665418]
  8. Heliyon. 2019 Apr 23;5(4):e01492 [PMID: 31049426]

Grants

  1. /Wellcome Trust
  2. 205200/Wellcome Trust

Word Cloud

Created with Highcharts 10.0.0agroforestrypracticesruraladoptionhouseholdsclimatechangeattitudesperceptionsAgroforestryclimate-smartagriculturepotentialbenefitsAfricahouseholds'socio-economicstudyknowledgeamongKwaZulu-NatalalsorecognizedsignificantelementduehighaddressingfoodinsecuritychallengesecosystemmanagementHoweverdespiteSub-SaharanlowAdoptingrequiresunderstandingsocio-psychologicalfactorsHenceempiricallyexaminedroleuptakebetterunderstandprocesssample305obtainedthreecommunitiesnamelySwayimaneUmbumbuluRichmondprovincePrincipalcomponentanalysisbinarylogisticregressionmodelemployedanalyzedataKnowledgetowardsfoundpositivelyinfluenceresultsrevealedagefarmingexperienceeducationlevellandsizedeterminantsThereforerecommendspolicymakersextensionofficerschampionsconsidercharacteristicsdesigningprojectsImplementingtrainingprogramspracticaldemonstrationrecommendedincreaseawarenessencourageprotecton-farmtreesshrubsFactorsInfluencingUptakePracticesRuralHouseholds:EmpiricalEvidenceProvinceSouththeoryplannedbehaviour

Similar Articles

Cited By

No available data.