Dissertations and Theses (Master's & Doctoral)

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    Water Tariff Structures and Access to Clean Water.
    (Makerere University Business School, 2024-11-14) Acen, Vicky
    This study investigates the influence of water tariffs, willingness to pay and household income on access to clean water in Lira City, Uganda. A mixed-method approach was employed, utilizing both quantitative and qualitative data collection methods. Quantitative data were gathered through a structured questionnaire survey, while qualitative insights were obtained from focus group discussions (FGDs) and key informant interviews. The questionnaire survey captured responses from a diverse cross-section of households, assessing their perceptions of water pricing, accessibility, and service quality. FGDs and key informant interviews provided in-depth perspectives from community leaders, water vendors, and water management committee members, enriching the understanding of the contextual dynamics influencing water access. The findings reveal a significant relationship between water tariff levels and access to clean water, with affordability emerging as a critical factor. While majority of households found current tariffs manageable, however, a substantial portion reported difficulties in affording water services, particularly among lower-income groups. The study also highlights a strong willingness among residents to pay more for reliable and higher-quality water services, contingent upon improved proximity and service consistency. These results underscore the need for policy interventions that consider income-based tariff structures and targeted subsidies to enhance water accessibility for vulnerable populations. This research contributes to the growing body of knowledge on urban water management in Sub Saharan Africa, offering practical implications for policymakers and water service providers in designing equitable pricing strategies. Future research should explore the long-term effects of alternative tariff models on water accessibility and sustainability within similar urban contexts.
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    The Effect of Monetary Policy on Private Sector Credit Growth in Uganda.
    (Makerere University Business School, 2023-11-23) Aenu, Emma Dean
    This study investigated the effect of monetary policy on Private sector credit growth in Uganda. The specific objectives of the study included investigating the determinants of private sector credit growth in Uganda, examining the causal relationship between commercial lending rate, money supply and private sector credit growth. Employing the Vector Error Correction Model (VECM), the study used monthly time series data that spanned a period of 12 years ranging from 2010 to 2022. The results of the study showed that, in the short run, both money supply and lending rate have positive and significant effect on private sector credit growth while the positive effect of interbank rate was found not to be significant both in the short run and long run. The short run results also indicated that Treasury bill rate has a negative and significant effect on private sector credit growth. In the long run, money supply had a negative effect on private sector credit, though not statistically significant. Lending rate has a negative and significant effect on private sector credit growth in the long run. Treasury bill rate had a positive and significant effect on private sector credit growth in the long run. The granger casualty test indicated a uni-direction causation running from money supply to private sector credit growth, while a uni-direction causation was confirmed running from private sector credit growth to lending rate in Ugandan. The study recommends for further reforms aimed at maintaining monetary policy credibility and promotion of macroeconomic stability and financial sector development.
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    Female Labour Force Participation Rate and Uganda’s Economic Growth.
    (Makerere University Business School, 2023-12-06) Apire, John Paul
    The purpose of this study was to investigate the effect of selected female labour force participation indicators on Uganda’s economic growth. The study focused on the effect of female labour force participation rate, the level of education of females in labour force and fertility rate on Uganda’s economic growth. The study adopted a causal relationship research design and utilized time series quarterly data for the period 1990 -2021 obtained from World Bank development indicators and the Uganda Bureau of Statistics in the analysis. Estimation of the empirical model was achieved by employing the ARDL (3, 3, 1, 1, 1, 2) model. Estimates indicated that, over the period of analysis, female labour force participation rate had a significant negative causal effect on Uganda’s economic growth in the short run but did not show any causal influence in the long run, which supported the postulates of the U-shape hypothesis. Estimates further showed that female labour force with basic education had no short run and long run causal effect on Uganda’s economic growth while the female fertility rate had negative short run causal influence on Uganda’s economic growth but showed no long run causal effect. Results from this study give a precursor that policy focusing on skills acquisition of female in labour force, scaling up of birth control measures as well as enacting policies that increase physical capital stocks may be lucrative policy options to boost Uganda’s economic growth. The study contributes to existing body of literature by adopting and modifying the Solow-style neoclassical model in combination of the U-shape development hypothesis by disaggregating the labour input by gender and analyzing its contribution to growth in Uganda’s economic growth.
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    The Effect of Public Debt, Economic Activity, And Exchange Rate on Trade Performance in Uganda (1980–2023).
    (Makerere University Business School, 2025-10-21) Arineitwe, Killian
    This study investigates the effects of domestic debt, external debt, economic activity, and exchange rate fluctuations on Uganda’s trade performance over the period 1980–2023, using an Autoregressive Distributed Lag (ARDL) model. Inflation and interest rate are controlled for to account for macroeconomic stability factors that could otherwise distort the relationship. A quantitative time series approach was employed to capture both short-run fluctuations and long run trends, allowing for assessment of dynamic interactions among the variables. Annual data were sourced from the World Bank’s World Development Indicators (trade performance, external debt, GDP), Mohamud Ali Abdi (2021) (domestic debt and interest rates), IndexMundi (2024) (exchange rate), and WorldData.info (2024) (inflation). The ARDL model was statistically significant at the 5% level (Prob > F = 0.0204), with an R-squared of 0.3827 and an adjusted R squared of 0.2476, indicating moderate explanatory power. Domestic debt positively and marginally significantly influenced trade, with a 1% increase associated with a 0.96% rise in trade performance, reflecting the potential of domestically mobilized resources to support trade enhancing investments. External debt and GDP growth showed no significant effect, suggesting limited short- or long-term influence on trade, while exchange rate depreciation negatively and significantly affected trade, with a 1% depreciation reducing trade performance by 0.205%. Model diagnostics confirmed stability, normality, absence of autocorrelation, and homoscedasticity, supporting the robustness of the estimates. The findings underscore the need for efficient management of domestic debt, promotion of growth in tradeable sectors, diversification of exports, and exchange rate stabilization to strengthen sustainable trade performance in Uganda. Key words; Domestic debt, External debt, Exchange rate, Economic activity, Trade performance, and, Uganda.
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    Salary Enhancement Policy and Performance of Scientists in Ngora District.
    (Makerere University Business School, 2025-11-14) Asio, Priscilla Margery
    The study assessed the salary implementation factors and strategies of the salary enhancement policy and performance of scientists in Ngora District. The study adopted survey research design in which both qualitative and quantitative approaches were used to collect data from a total of 127 respondents. The respondents were selected using purposive and simple random sampling and data was gathered using a self-administered questionnaire and face-to-face interviews. Quantitative data collected and analyzed using the Statistical Package for Social Scientists (SPSS - ver 20) while the qualitative data was analyzed using thematic and content analysis. Findings showed that implementation factors and strategies of salary enhancement policy had a significant effect on performance of Scientists in Ngora district. The study recommends that while implementation of the salary enhancement policy may have had a significant effect on the effectiveness of scientists, the administration should endeavour to find generalized motivational strategies for further motivate scientists and other staff, as this may in the long run affect other staff performance; government should in future harmonize salaries of all staff to avoid any resentment by the marginalized staff in terms of compensation; and that administrators should consider other strategies for enhancing performance.