Please use this identifier to cite or link to this item: http://ir.mu.ac.ke:8080/jspui/handle/123456789/10480
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dc.contributor.authorAdaramola, Samuel Miyiwa-
dc.contributor.authorAgak, Thomas-
dc.contributor.authorMwangangi, Alex Kyalo-
dc.contributor.authorKiano, Elvis-
dc.date.accessioned2026-09-07T06:31:48Z-
dc.date.available2026-09-07T06:31:48Z-
dc.date.issued2026-09-
dc.identifier.uri10.47772/IJRISS.2026.100800303-
dc.identifier.urihttp://ir.mu.ac.ke:8080/jspui/handle/123456789/10480-
dc.description.abstractElectricity infrastructure can be physically available while remaining financially inaccessible to rural households whose budgets are dominated by essential consumption. This study examines household expenditure as a demand-side determinant of electricity access in rural Kitui County, Kenya. It isolates the household-expenditure objective from a wider study of socioeconomic factors and asks whether expenditure pressure and household budgeting capacity are associated with the ability to connect to and sustain electricity services. An explanatory cross-sectional design was used, drawing on 380 usable household questionnaires from a target population of 262,942 rural households. Household expenditure was measured using ten Likert- scale items capturing essential-needs spending, expenditure pressure, budgeting capacity and electricity-related affordability. The expenditure construct recorded a high composite mean (M = 4.3221, SD = 0.40607). Principal component analysis produced a Kaiser-Meyer-Olkin value of .905 and a significant Bartlett's test (χ² = 1261.606, df = 45, p < .001). Two components with eigenvalues above one jointly explained 55.758% of the variance, indicating that expenditure constraints contain both a broad affordability-pressure dimension and a more immediate essential-expenditure burden. In the multivariate model, household expenditure had a positive and statistically significant association with electricity access (B = .041, β = .266, t = 6.270, p < .001), controlling for household access to credit and living conditions. A supplementary PROCESS Model 4 analysis showed that poverty did not significantly mediate this relationship because the bootstrapped indirect-effect interval included zero (a×b = -.0043; 95% Boot CI [-.0106, .0010]). The findings suggest that rural electricity access is shaped by immediate household resource-allocation and affordability conditions that are not reducible to poverty status alone. Policy should therefore combine infrastructure expansion with payment flexibility, connection-cost relief and household affordability measures.en_US
dc.language.isoenen_US
dc.publisherIJRISSen_US
dc.subjectSocioeconomic determinantsen_US
dc.subjectHousehold budgetingen_US
dc.subjectRural electrificationen_US
dc.subjectEnergy povertyen_US
dc.subjectHousehold expenditureen_US
dc.subjectElectricity accessen_US
dc.titleHousehold Expenditure Pressure and Electricity Access in Rural Kitui County, Kenyaen_US
dc.typeArticleen_US
Appears in Collections:School of Business and Economics

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