Business & Management
Assessing the Effect of Road Transport Infrastructure on Firm Performance in Uganda
Researchers have found that access to road transport infrastructure does not greatly affect firm performance but rather Labour plays the biggest role in determining the productivity of a firm in Uganda followed by capital. These results where shared by a research team led by Dr. Susan Namirembe Kavuma during a dissemination workshop in Makerere on March 24th, 2022.
The research team was investigating the effect of access to road transport infrastructure on firm performance in Uganda. The team found that road infrastructure did not greatly affect firm productivity. The team comprising Dr. Ibrahim Okumu and Dr. Sanday Amos investigated firm specific characteristics that influence firm productivity and found that the level of education of the workers, internet usage and age of the business also greatly affect productivity of the firms.
Speaking during the dissemination, the Principal, Prof. Eria Hisali, thanked Carnegie Corporation for the funding and congratulated the team upon undertaking the study. He called on the researchers to embrace the Policy Labs Series which the college plans on starting. The policy labs will bring together researchers, politicians, policy makers, technocrats and the private sector to discuss the research outputs and how they can contribute to directing policy in the country. As a result of the Policy Labs, the researchers will draft working papers for the government in an effort to contribute to the development of the economy.
Prof. Hisali guided on further research that could be done such as; what have been the recent patterns in productivity performance of firms? How do we relate these patterns to infrastructure and other variables? And lastly, what are the productivity differences between foreign owned firms and indigenous firms?
The Principal concluded by calling on the staff of the college to embrace the seminar series and policy labs which will be a platform for researchers to share their findings and contribute to policy.
The Director of the Directorate of Research and Graduate Training (DRGT), Prof. Buyinza Mukadasi, who also oversees the Carnegie program in Makerere University, congratulated the research team for their role in contributing to the University’s vision of becoming a research-led university. He remarked that industry engagement is critical to the university’s journey to achieve its vision and acknowledged that academia is progressively focusing on impactful research with innovative solutions that will contribute to the country’s development.
Prof. Buyinza noted with concern that African universities’ capacity to educate new early career academics is eroding, raising concerns about the continent’s ability to produce new generations of academics.
“Between 2000 and 2020, Africa produced only 1.8% of the worlds’ publications. This is in comparison to India’s 2.4% and Latin America at 3.5%. Research has been singled out as the missing link in Africa’s development,” the Director DRGT pointed out.
Prof. Buyinza called on the government to address the limited capacity to conduct research. He thanked the Carnegie Corporation for funding the Support to Early Career Academic (SECA) project, saying the project has provided useful analytical foundation for all stakeholders including the National Planning Authority. He called on senior researchers to continue mentoring young scholars in an effort to ensure continuity of research on the African continent.
Business & Management
Somali Officials Complete Executive Training in Infrastructure Asset Management at CoBAMS
Six Somali government officials have successfully completed a three-day Executive Training in Infrastructure Asset Management, held at Makerere University’s Public Investment Management Centre of Excellence (PIM CoE). The training, funded by the United Nations Capital Development Fund (UNCDF), took place from January 27 to 29, 2025, and aimed to enhance regional capacity in infrastructure planning and management.
The training brought together senior civil servants and policymakers from Somalia, equipping them with practical knowledge and strategies for sustainable infrastructure asset management. It also fostered valuable cross-border collaboration, facilitated by UNCDF Uganda, which played a crucial role in connecting Makerere University with the Government of Somalia.
The program was delivered by experienced faculty from Makerere University’s College of Business and Management Sciences (CoBAMS), alongside experts from the Ministry of Finance, Planning and Economic Development (MoFPED) and the Uganda National Roads Authority (UNRA). A special session was also led by the Makerere University Bursar, offering practical insights into financial management in infrastructure projects.
Speaking at the opening of the training, Mr. Ncube Mkhululi, the Regional Technical Advisor for UNCDF emphasized the importance of infrastructure asset management in driving sustainable economic growth. He highlighted UNCDF’s commitment to supporting capacity-building initiatives in developing economies, noting that effective infrastructure planning and management are critical to national development. He also expressed confidence in Makerere University’s expertise in delivering high-impact executive training programs for government officials.
During the closing ceremony, Prof. Bbaale Edward, the Principal of the College of Business and Management Sciences expressed gratitude to all partners, including UNCDF, Makerere University management, and the PIM CoE faculty, for their commitment to making the training a success. He emphasized Makerere University’s ongoing efforts to internationalize its research-led agenda, positioning itself as a hub for regional knowledge exchange.
UNCDF Program Manager, Mr. Joel Mundua, the commended the participants for their dedication and encouraged them to share the acquired knowledge with fellow officials in Somalia. This was reaffirmed by one of the participants, who pledged to apply and disseminate the learnings within their respective departments.
Mr. Sunday Denis Aliti, the Program Officer at UNCDF highlighted the importance of ensuring that infrastructure asset management strategies are practical, adaptable, and aligned with national development goals. He commended Makerere University for its leadership in knowledge transfer and regional training and encouraged continued collaboration between universities, governments, and international development partners to strengthen institutional capacity.
Dr. John Sseruyange, Manager of the PIM CoE, applauded both the participants and the expert trainers who contributed to the program. He reiterated the Centre’s commitment to advancing infrastructure asset management through continued training and collaboration with regional stakeholders.
As the training concluded, participants departed with valuable insights and practical tools to improve infrastructure management in Somalia and beyond. The success of this initiative highlights Makerere University’s role as a leading institution in public investment management, fostering capacity-building efforts that drive sustainable development across Africa.
The Statistics and Data Science (SDS) Working Group training kicked off on Monday, 20th January 2025, and will run until 24th January 2025. This training, an initiative by the college, aims to build capacity in Artificial Intelligence (AI) and Machine Learning (ML) among its members.
Participants are being equipped with a wide range of skills, covering topics such as text mining, unsupervised learning, neural networks, Geographic Information Systems (GIS), and more. The training is facilitated by expert data scientists from the Uganda Revenue Authority (URA), Housing Finance Bank, and the School of Statistics and Planning (SSP).
The SDS Working Group comprises academic staff at the School of Statistics and Planning (SSP) whose research interests focus on statistical learning and AI.
On January 21, 2025, Mr. Kiyingi Simon Peter and Mr. Tusubira Brian from URA led an engaging session on the practical applications of machine learning algorithms in day-to-day activities. They demonstrated how components fed into ML models are used to classify taxpayers into high-risk and low-risk categories, showcasing the transformative potential of AI in optimizing operations.
Dr. Margaret Banga, the Dean of the School of Statistics and Planning (SSP), emphasized the transformative impact of the training on both the academic and professional development of the participants. She commended the expert trainers from the Uganda Revenue Authority (URA) and other partnering institutions for their practical and insightful contributions to the sessions. Dr. Banga noted that the training is a significant step toward enhancing the teaching methodologies and research capabilities of the faculty. “By equipping our staff with advanced skills in Artificial Intelligence and Machine Learning, we are empowering them to deliver cutting-edge knowledge to our students and conduct impactful research that addresses real-world challenges,” she remarked.
The training is a testament to the SSP’s forward-thinking approach to education and research in statistics and data science. The integration of topics such as neural networks, text mining, and Geographic Information Systems (GIS) underscores the need for multidisciplinary expertise in an increasingly data-driven world. Dr. Banga highlighted that this capacity-building effort aligns with the college’s strategic objectives of fostering innovation and staying ahead in the rapidly evolving fields of data science and statistical learning.
The Dean further stressed the importance of partnerships with organizations like the Uganda Revenue Authority and Housing Finance Bank, which provide invaluable industry perspectives. These collaborations ensure that academic training is not only theoretical but also applicable to practical challenges in sectors such as taxation, finance, and public administration.
In conclusion, Dr. Banga reaffirmed her commitment to continuous learning and development within the School of Statistics and Planning. She expressed confidence that the knowledge gained through the training would translate into improved academic delivery, enriched research output, and a stronger contribution to societal and economic transformation through the application of advanced data science methodologies.
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