Nyagadza, Brighton ORCID: https://orcid.org/0000-0001-7226-0635 and Mazuruse, Gideon
(2025)
Barriers to adopting climate change awareness and education in Zimbabwe: a hybrid structural equation modelling and extreme gradient boosting approach.
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Abstract
The study seeks to examine the barriers to climate change awareness and education in Zimbabwe, using a hybrid Structural Equation Modelling (SEM) and Extreme Gradient Boosting (XGBoost). The results revealed a positive link between media coverage, climate data accessibility, environmental education, stakeholder engagement, and technological advancement with the dissemination of information, except for public perception through SEM. The perception of the public had a negative beta value, highlighting the urgent need for education. Dissemination of information was identified as the principal barrier to climate awareness and education using the XGBoost model, whilst climate data accessibility was identified as the least important. Key contributions of the study include uncovering emerging trends, the development of a new theoretical framework, generation of effective and significant insights for policymakers and governments in their quest to improve climate awareness and education, and provision of guidelines for actions to reduce climate change.
| Item Type: | Article |
|---|---|
| Status: | Published |
| DOI: | 10.1007/s11135-025-02384-4 |
| School/Department: | London Campus |
| URI: | https://ray.yorksj.ac.uk/id/eprint/12786 |
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