Browsing by Author "Senyonga, Livingstone"

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Efficient tariff system in the electricity distribution: evidence from Uganda
(Sciencedomain International, 2024-03-27) Ssebabi Mutumba, Geoffrey; Amerit, Bosco; Kaddu, Milly; Mubiinzi, Geoffrey; Bashir, Hassan; Birungi, Felister; Nakajubi, Florence; Jaza , Muhamood; Senyonga, Livingstone
This study investigates incentive regulation to foster an efficient tariff system in the electricity distribution subsector in Uganda. This study seeks to find empirical evidence to support the argument that regulation is associated with efficiency among distributors. It seeks to design an appropriate model of incentive regulation within the distribution subsector. It assesses the efficiency of existing tariff setting system with a view of guiding policy on how best incentives should be appropriated. It uses the data envelopment analysis and stochastic frontier analysis to investigate how distribution firms use input costs to come up with an efficient end user tariffs. Quarterly data used is from Electricity Regulatory Authority (ERA) covering the period 2013-2019. The findings are that distribution firms cost inputs are inconsistent with the way they their operational and maintenance costs are generated and transmitted to end user tariff. The regulator should be keen on the way tariff is set such that it is fair to all players in the electricity markets. Incentive regulation has a positive influence on cost efficiency and end user tariff. A reduction in energy losses and energy purchases from transmitter makes up the most efficient cost drivers. Lastly, tariff regulation has increased efficiency in operations through in improved quality and reliability of power distribution. First and foremost is reduced load shedding, secondly is more reliable power distribution to end users. Appropriate Incentive regulation has a direct effect on cost of utility and in increasing access of vulnerable groups.
Fuelwood collection: does it matter for rural households’ labour force participation in the labour market
(Elsevier, 2024-04-25) Kaddu, Milly; Sseruyange, John; Senyonga, Livingstone; Musekese Wabukala, Benard; Watundu, Susan; Turyareebama, Muhammed
The study explores the effect of time spent collecting fuelwood on rural labour force participation in the labour market. We use the Uganda National Household Survey data (2019/20) and employee the instrumental variable profit model to address the potential selection bias associated with fuelwood collection and the joint decision making for fuelwood collection and labour market participation. We observe that rural labour force participation rate in paid activities is 25.34%, and a minute increase in time spent gathering fuelwood for home use reduces the odds of rural labour force participation in the labour market by 0.8%. However, fuelwood collection for market in Northern, Eastern and Western Uganda significantly increases the odds of labour force participation in the labour market. In addition, household income, sickness from inhaling fumes, cooking technology and marital status significantly increases the odds of rural labour force participation in the labour market. We recommend upscaling agro-forestry practices and improved cookstoves to facilitate rural livelihood sustenance in the short run. For the long- and medium-term employment sustainability, the government should plan for alternative income options for rural dwellers to augment their productivity and enroll them to the global sustainable supply chains.
Income and price elasticities of household electricity demand: a comparative systematic review of aggregated and disaggregated data studies
(Elsevier, Science Direct, 2024-12) Mubiinzi, Geoffrey; Senyonga, Livingstone; Kigongo Kaawaase, Twaha; Wasswa, Francis; Adaramola, Muyiwa S.; Nantongo, Maria
This systematic review investigates disparities in research coverage and assesses the implications of income and price elasticities on household electricity demand. By analyzing studies across various regions and income groups, it aims to uncover imbalances in research distribution and understand their impact on energy policy development. The review employs a systematic approach, analyzing peer-reviewed and gray literature from Scopus, Web of Science, and Google Scholar databases from 1980 to 2023. It addresses four research questions: regional and income group classifications, differences in income elasticities, variations in price elasticities, and the accuracy and variability of household electricity demand elasticity estimates between aggregated and disaggregated data studies. The review reveals significant imbalances, with the Middle East, North Africa, and Sub-Saharan Africa underrepresented, while Europe and Central Asia exhibit robust research. Consistent inelasticity in electricity demand is observed across contexts and timeframes. High-income countries dominate this research, leading to a lack of empirical studies in low-income regions, hindering tailored interventions. Understanding short- and long-run elasticities is crucial for effective demand forecasting and policy design. This review uniquely compares income and price elasticities from aggregated and disaggregated data studies, highlighting regional research disparities and their implications for energy policy. It emphasizes the need for inclusive, context-specific investigations to foster sustainable development and equitable energy access globally.