Browsing by Author "Adaramola Muyiwa S."

Now showing 1 - 2 of 2

Efficient energy usage typologies: Adoption and determinants of energy-saving appliances among Ugandan households
(Elsevier, 2026-01-24) Mubiinzi Geoffrey; Senyonga Livingstone; Kigongo Kaawaase Twaha; wasswa Francis; Adaramola Muyiwa S.; Nantongo Maria
This study investigates household adoption of energy-efficient technologies in Uganda using nationally representative data from the Uganda National Household Survey 2020/21. We develop an integrated econometric framework that combines Latent Class Analysis (LCA), Multinomial Logit (MNL) models, and Logistic and Poisson regressions to capture adoption heterogeneity, identify structural determinants, and differentiate between adoption incidence and intensity. LCA probabilistically classifies households into four adoption typologies: nonadopters, lighting-only adopters, heating-only adopters, and broad adopters. MNL models quantify the demographic, geographic, and infrastructural factors that shape class membership, whereas logistic and Poisson specifications reveal who adopts at least one technology and how deeply it extends across multiple domains. The results showed that over 90 % of the households remained non-adopters, with efficient lighting as the primary entry point, minimal cooking, and virtually no heating. Adoption is consistently constrained by electricity access, affordability, and household asset levels, whereas urban residences, education, and younger household heads significantly increase the likelihood of adoption. By integrating latent adoption typologies with incidence–intensity modeling using nationally representative household data, this study advances beyond conventional binary adoption analyses and provides robust, policy-relevant evidence on the structural constraints shaping Uganda’s household energy transition.
Household electric energy efficiency
(ELSEVIER, 2026-08-27) Mubiinzi Geoffrey; Senyonga Livingstone; Kigongo Kaawaase Twaha; Wasswa Francis; Adaramola Muyiwa S.; Nantongo Maria
This study examines household electric energy efficiency in Uganda by assessing how effectively households convert electricity and complementary domestic conditions into welfare-relevant services. The issue is important because electricity access and electricity consumption do not automatically translate into useful household outcomes, especially where reliability, housing quality, appliance ownership, and household resources differ. Using Uganda National Household Survey 2020/2021 data, the study constructs a household electricity-service proxy from electricity-enabled service assets and estimates household efficiency using stochastic frontier analysis, followed by fractional response models, a control-function correction, and predictive validation. The results show substantial heterogeneity in household electricity-service production. The baseline frontier estimates a mean technical efficiency of 0.604, with a median of 0.621 and a 90th percentile of 0.860, indicating that many electricity-using households operate below best-practice service performance. Efficiency is also unequal, with a Gini coefficient of 0.194 and a 90th-to-10th percentile ratio of 3.155. Electricity consumption and daily power availability are positively associated with service output, but the electricity-consumption elasticity is small, at 0.071 under the baseline specification, suggesting less than proportional service gains from additional electricity use. Efficiency is systematically associated with household assets, housing quality, literacy, household composition, electricity cost, and regional location. The evidence provides a service-oriented basis for identifying where household electricity benefits remain constrained. The study concludes that household electricity policy should move beyond connection and consumption metrics toward improving reliability, domestic service conditions, and the household capabilities that shape electricity-service performance.