Modelling the Factors Influencing Kerosene Consumption for Lighting among Rural Households in Tanzania

Authors(1) :-Patrick N. Malakasuka

This study was designed to identify the key variables influencing kerosene consumption by households in Tanzania. A total of 400 households were randomly selected from Mbeya region focusing on rural areas. Data analysis was done through the use of binary logistic regression model in assessing the effect of the independent variables on the dependent variables. It was found that majority of household in the study area used kerosene for lighting. Kerosene consumption consisted 40.2 per cent of households while 23.8 percent used torch, 23.2 per cent used electricity, 11.5 per cent used solar, 0.8 per cent used candle and 0.5 per cent used generator for getting light. The study indicated that the most significant determinants of kerosene consumption in the area are price of kerosene, distance to kerosene and distance to electricity source. Regarding high consumption of kerosene in the study area, Ministry of Energy need to recheck and refine friendly policy that will promote the use of more efficient and modern sources of energy with good quality light.

Authors and Affiliations

Patrick N. Malakasuka
Department of Biometry and Mathematics, Sokoine University of Agriculture, P.O.BOX 3038 Morogoro, Tanzania

Binary Logistic Regression; Energy; Kerosene; Lighting; Mbeya District Council.

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2016
Date of Publication : 2016-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 697-702
Manuscript Number : IJSRSET1626110
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Patrick N. Malakasuka , " Modelling the Factors Influencing Kerosene Consumption for Lighting among Rural Households in Tanzania, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 6, pp.697-702, November-December-2016. Citation Detection and Elimination     |     
Journal URL : https://ijsrset.com/IJSRSET1626110

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