Utilisation of Indigenous Knowledge for Climate Change Adaptation Through Enhanced Information Flows in the Nyakyusa Community: Rungwe, Tanzania
DOI:
https://doi.org/10.54536/ajec.v5i1.7127Keywords:
Climate Adaptation, Indigenous Knowledge, Information Flows, Social Network TheoryAbstract
Adopting Social Network Theory (SNT), the study assessed structural barriers to the dissemination and application of Indigenous Knowledge (IK) for climate adaptation, focusing on the Nyakyusa community in Tanzania’s Rungwe District. Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to test hypotheses regarding the influence of social network ties, communication channel diversity, language barriers, power imbalances, and technology access on IK dissemination and application using a cross-sectional survey design with 600 samples of farmers. The findings indicates that language barriers (β = 0.387, p < 0.001), communication channel diversity (β = 0.982, p < 0.001), and social network ties (β = 0.316, p < 0.001) all had a positive correlation with IK dissemination, indicating a possible catalytic role in the dissemination and application of Indigenous Knowledge (IK) for climate adaptation. Conversely, Technology Access negatively influenced IK dissemination in a minor but significant way (β = -0.071, p = 0.012). IK dissemination played a crucial moderating function by highly predicting application (β = 0.474, p < 0.001). However, Power Imbalance did not immediately influence IK application. The study concludes that the optimal way to close the IK application gap is to improve the social circuitry of knowledge transmission through the strengthening of the social network ties, channel diversification and strategic positioning of communication technology access. It is crucial for the policymakers to shift away from IK preservation to actively promoting the social networks’ ties, as it can improve IK dissemination, hence IK application for Indigenous Knowledge for Climate Change Adaptation.
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