Abstract
This study aims to identify the determinants of good forest governance in south-eastern Ethiopia specifically in the Bale Eco-Region. The data was collected using a mixed methods approach through questionnaires, key informant interviews, and focus group discussions. The quantitative data was analyzed using both descriptive and binary logistic regression analysis, while the qualitative data was analyzed through descriptive analysis. The results revealed that lack of accountability, low efficiency, lack of fairness and ineffectiveness were the major challenges of good forest governance in the Bale Eco-region. The results of the binary logistic regression has also confirmed this and showed that the effectiveness of forest governance is determined by accountability, efficiency, and fairness. This means that the effectiveness of forest governance increases as the accountability, efficiency and fairness increases. Hence, it is recommended that the government and other concerned stakeholders should work mainly on improving accountability, efficiency, and fairness of forest governance in the Bale Eco-Region.
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