Indigenous Perceptions of Factors Influencing Behavioral Intentions Towards Climate Change Mitigation: An Assessment

Ibrahim Basiru, Guijian Liu*, Vincent Ekow Arkorful, Benjamin Kweku Lugu, Balal Yousaf, Mudassar Hussain, Osman M. Jama

*Corresponding author for this work

    Research output: Contribution to journalJournal articlepeer-review

    2 Citations (Scopus)


    In this study, an attempt is made to understand the behavioral intentions towards climate change mitigation using Ajzen’s framework of the Theory of Planned Behavior. It examines the factors that influence mitigation behavioral intentions among local people in Ghana. Using Structural Equation Modeling (SEM) technique, the analysis finds that climate change knowledge, and the perceived risk of climate change have statistically significant impacts on attitudes towards mitigation of climate change. Subsequently, the study findings also show that mitigation attitude, subjective norms, and perceived behavioral control have a statistically significant influence on behavioral intentions towards climate change mitigation. Moreover, the results illustrate that the strength of the significant association between perceived behavioral control and behavioral intentions is greater compared with the significant association between subjective norms, attitude and behavioral intentions. The study findings will support government in the formulation of climate change mitigation policies and programs, ultimately aiding sustainable development. Finally, the study, through its limitations, offers suggestions for future studies.
    Original languageEnglish
    Pages (from-to)1-13
    Number of pages13
    JournalInternational Journal of Public Administration
    Issue number1
    Early online date7 Sept 2022
    Publication statusPublished - 2 Jan 2024

    Scopus Subject Areas

    • Business and International Management
    • Public Administration

    User-Defined Keywords

    • Climate change mitigation
    • Theory of Planned Behavior
    • behavioral intention
    • local people
    • structural equation modeling


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