Book Chapters

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12504/1880

Browse

Browsing Book Chapters by Title

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Does public debt help to drive Uganda’s economic growth? Insights from application of NARDL analysis
    (Open Journal of Applied Sciences, 2025, 15(8), 2408-2430, 2025-08-25) Okumu, Gabriel; Otim, Jacob; Tumwebaze, Henry; Turyareeba, Dickson
    This study investigates the relationship between public debt and economic growth in Uganda for the period 1990 to 2023 using a nonlinear autoregressive distributed lag (NARDL) model. The analysis finds that public debt, measured as both total debt and debt-to-GDP ratio, has a significant and detrimental nonlinear effect on Uganda’s economic growth in both the short and long run. The study concludes that Uganda should prioritize domestic revenue mobilization over further debt acquisition to foster sustainable economic growth.
  • Thumbnail Image
    Item
    Econometric analysis of efficiency among public health center III facilities in kigezi subregion Uganda
    (Taylor & Francis Group, 2025-12) Innocent Mugisha; Kenneth Tindimwebwa; Lillian Namubiru; Khder Alakkari; Bushra Ali; Maad M. Mijwil; Mostafa Abotaleb
    The scarcity of healthcare resources and shortfalls in budget allocations for the health sector in the Kigezi subregion calls for efficient utilization of inputs, measurement, and reporting of the performance of Health Center III facilities. The purpose of the study is to answer the question; what are the efficiency and slack levels among facilities? Data from a sample of 30 facilities containing health inputs and outputs were obtained from the Uganda Bureau of Statistics for the financial year 2022/2023. A constant returns to scale output-oriented data envelopment analysis technique is adopted for the analysis. Results reveal that 47% of the facilities were technically efficient, and the score averaged 72%. This implies that the facilities need to improve resource utilization by 28% to become technically efficient. Mean scale efficiency stood at 97.75%, implying that 2.25% of the scale-inefficient facilities waste more input resources due to their size. Slack values were registered. There were 16 benchmark facilities identified for reference because of their best practices. Inefficient healthcare facilities should be made to improve their technical and scale efficiency levels by reducing the resources employed as well as increasing the output that they produce.