The goal of this study was to evaluate the effect of corporate governance on the performance of SACCOs, in Rukiga District. SACCO governance was a predictor variable and performance of SACCOs was the study’s outcome variables. A cross-sectional survey was the precursor to the study. Quantitative and qualitative analysis were combined with the collection and analysis of data from 109 respondents. Descriptive, bivariate, and multivariate analyses were used in the analysis, which was done on three different levels. Frequency tables were employed to portray the data as descriptive analysis required presentation of a single variable and its characteristics. A Pearson correlation matrix was used to determine the correlations between the predictor factors and the dependent variable at the bivariate level. The modified predictor variables for corporate governance were regressed against the dependent variable at the multivariate level (performance of SACCOs). To fit the data, a linear regression model was employed. Corporate governance (coef. = 0. 532) has a positive influence on the performance of SACCO in Rukiga District, according to research results from the regression model. The key finding of this study is that corporate governance significantly affects SACCOS performance. The study therefore suggests that in order to ensure the sustainability of SACCO performance in Rubanda District, greater emphasis should be placed on implementing corporate governance.

Rukungiri District production and marketing department has pursued campaigns to educate the public about the health benefits of coffee, including its high antioxidant content, potential to prevent certain malignancies, and potential to lower type 2 diabetes risk. Despite these efforts, the District still has a low level of coffee consumption. This study tried to determine whether economic variables could be responsible for the low consumption. Through the use of both quantitative and qualitative methods and a cross-sectional survey research design, this study was able to quickly assess the relationship between the study variables. Simple random and purposeful sampling methods were used to choose a sample of 123 respondents. The thematic analysis method was utilized to assess the qualitative data, while SPSS Version 23.0 was used to analyze the quantitative data. Based on the study's aims, quantitative data were presented in tables as descriptive statistics, correlations, and regressions. The study discovered a substantial positive association between economic parameters and coffee intake (r = 0. 876, P.01). Coffee consumption is influenced by the economic status in terms of higher incomes, wages, and general standards of living because these factors have a tendency to affect people's consumption habits. The study also came to the conclusion that raising the economic standing of residents of the Rukungiri District is what will drive up coffee consumption.