The overdependence on using traditional fuels for lighting purposes is closely associated to indoor air pollution, environmental humiliation and high opportunity cost for women and children and consequently affect household well-being, the social economic welfare of deprived population in developing nations to be improved there should consider the adoption and usage of modern lighting services as very important. This paper identifies the determining control factors that influence the fuel energy choice for lighting purposes in Rwanda by applying the Multinomial logit regression to the national representative survey at household level data. The study revealed that the households with higher income are adopting to use the cleaner and modern fuel energy source, confirming the hypothesis for energy ladder. Not only household income exerting impact on the fuel energy choice for lighting, the other fuel choices significant determining variables in Rwanda are: number of the rooms occupied by household, type of dwelling for household, age of the household head, whether the household head has formal education level, the household size, type of the habitant for the household and the location of the household. This paper suggests deployment and utilization of solar potentiality for supplying the cleaner and modern fuel energy for lighting purposes in the remote area of Rwanda.
| Published in | American Journal of Modern Energy (Volume 7, Issue 4) |
| DOI | 10.11648/j.ajme.20210704.14 |
| Page(s) | 69-74 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Rwanda, Energy Choice, Lighting, Multinomial Logit Regression
| [1] | Adeyemi, P. A. and Adereleye, A. (2016). Determinants of household choice of cooking energy in Ondo state, Nigeria. Economics and Sustainable developement, 7 (9), 131-142. |
| [2] | Ado, A., Darazo, I. R. and Babayo, M. A. (2016). Determinants of fuel stacking behaviour among households in Bauchi Metropilis. the business and mamangement review7: 3. |
| [3] | Bhandari, R. and Stadler, I. (2011). Electrification using solar photovoltaics in Nepal,. Applied Energy, 88 (2), 458-465. |
| [4] | Bhattacharrya, S. C. (2006). Energy access problem of the poor in India: rural electrification remedy? Energy Policy 34 (18), 3387-3397. |
| [5] | Buba, A., Abdu, M., Adamu, I., Jibir, A. and Usman, Y. I. (2017). Socio-economic determinants of household fuel consumption in Nigeria. international journal of research -Granthaalayah 5, 348-360. |
| [6] | Farsi, M. and Filippini, M. (2007). fuel choices in urban indian households. environment and development economics 12, 757-774. |
| [7] | Fydess K. M. Umaru G. W., Etienne N. (2020). Determinants of home lighting fuel choices in Rwanda: A Discrete choice analysis. journal of energy and power engineering 14, 131-142. |
| [8] | Gubic, and Baloi, O. (2019). public open space initiatives for healthier cities in Rwanda. Vol 5 No 2 (2020): SPECIAL ISSUE: Public Health and Well-being in Public Open Spaces through Climate Responsive Urban Planning and Design. |
| [9] | Hertberg, R. (2004). Fuel switchhing: evidence from eight developing countries. Enerrgy Economics, 26 (5), 869-887. |
| [10] | Hertberg, R. (2005). factors determing household fuel choice in Gwatemala. environment and development economics 10, 337-61. |
| [11] | International Energy Agency. (2006). world energy outlook. paris. |
| [12] | Komatsu, S., Kaneko, S., Shrestha, R. M. and Ghosh, P. P. (2011). Nonincome factors behind the purchase decisions of solar home systems in rural Bangladesh. energy sustainability developement 15, 284-92. |
| [13] | Koswari, R. and Zerriffi, H. (2011). three dimensional energy profile: a coneptual framework for assessing household energy use. Energy Policy, 39 (12), 7505-7517. |
| [14] | Lam, N. L., Smith, K. R., Gauthier, A., and Bates, M. N.. (2012). Kerosene: a review of household uses and their hazards in low-and middle income countries. J. Toxicol. Environ. Health B Crit. Rev. 15,, 396–432. |
| [15] | Lay, J., Ondraczek, J., and Stoever, J. (2013). Renewables in enrrgy transition: evidence on solar home systems and lighting fuel choice in Kenya. Energy Economics 40, 350-9. |
| [16] | Marathe, S. D., and Eltrp, L. (2017). Domestic energy consumption paterns in kigali, Rwanda- how disparate are they in view of urbanisation? international conference on the domestic use of energy (DUE). |
| [17] | Mbaka, C. K., Gikonyo, J. and Kisaka, O. M. (2019). Households' energy prefernce and consumption intensity in Kenya. energy sustainability and society 9:, 20. |
| [18] | Mekonnen, A., and Kohlin, G. (2009). Determinants of households fuel choicein Major cities in Ethiopia. working papers in economics (399): 1403-65. |
| [19] | Morrisey, J. (2017). The energy challenge in sub-sharan africa: a guide for advocates and policy makers: part 2: addressing energy poverty. Oxfam Research Background Series. |
| [20] | Mwaura, F., Okoboi, G., and Ahaibwe, G. (2014). determinants of household's choice of cooking energy in uganda. economic policy research center (EPRC) Kampala, Uganda. |
| [21] | National Institute of Statistics of Rwanda (NISR). (2018). Rwanda Poverty Profile Report. Kigali, Rwanda: National Institute of Statistics of Rwanda (NISR). |
| [22] | Nlom, J. H. and Karimov, A. A. (2015). Modeling fuel choice among households in northern Cameroon. sustainability 7: 9989-99. |
| [23] | Pachauri, S. and Jiang, L. W. (2008). the household energy transition in indian and china. Energy Policy 36, 4022-35. |
| [24] | Rahut, D. B., Das, S., Groote, H. D. and Behera, B. (2014). Determinants of household energy use in Bhutan. Energy, 69, 661-672. |
| [25] | Rao, M. N. and Reddy, B. S. (2007). Variations in energy use by Indian households: an analysis of micro-level data,. Energy, 32 (2), 143-153. |
| [26] | Rwanda Development Board. (2020). Renewable Energy situation. Kigali, Rwanda: Rwanda Development Board. |
| [27] | Sher, F., Abbas, A., and Awan, R. u. (2014). an investigation of multidimensional energy poverty in Pakistan; A province level analysis. international journal of energy economics and policy 4, 65-75. |
| [28] | Tchereni, B. H. M. (2013). A Microeconomics analysis of energy choice Behiour in South Lunzu Township, Malawi. Mediterranean journal of social sciences. |
| [29] | Tull, K. (2019). Links between urbanization and employment in Rwanda. Brighton, UK: K4D Helpdesk report 659 Institute of Development Studies. |
APA Style
Niyonshuti Emmanuel. (2021). Analysis of Household Lighting Fuel Choice in Rwanda: Multinomial Logit Model. American Journal of Modern Energy, 7(4), 69-74. https://doi.org/10.11648/j.ajme.20210704.14
ACS Style
Niyonshuti Emmanuel. Analysis of Household Lighting Fuel Choice in Rwanda: Multinomial Logit Model. Am. J. Mod. Energy 2021, 7(4), 69-74. doi: 10.11648/j.ajme.20210704.14
AMA Style
Niyonshuti Emmanuel. Analysis of Household Lighting Fuel Choice in Rwanda: Multinomial Logit Model. Am J Mod Energy. 2021;7(4):69-74. doi: 10.11648/j.ajme.20210704.14
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Download@article{10.11648/j.ajme.20210704.14,
author = {Niyonshuti Emmanuel},
title = {Analysis of Household Lighting Fuel Choice in Rwanda: Multinomial Logit Model},
journal = {American Journal of Modern Energy},
volume = {7},
number = {4},
pages = {69-74},
doi = {10.11648/j.ajme.20210704.14},
url = {https://doi.org/10.11648/j.ajme.20210704.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajme.20210704.14},
abstract = {The overdependence on using traditional fuels for lighting purposes is closely associated to indoor air pollution, environmental humiliation and high opportunity cost for women and children and consequently affect household well-being, the social economic welfare of deprived population in developing nations to be improved there should consider the adoption and usage of modern lighting services as very important. This paper identifies the determining control factors that influence the fuel energy choice for lighting purposes in Rwanda by applying the Multinomial logit regression to the national representative survey at household level data. The study revealed that the households with higher income are adopting to use the cleaner and modern fuel energy source, confirming the hypothesis for energy ladder. Not only household income exerting impact on the fuel energy choice for lighting, the other fuel choices significant determining variables in Rwanda are: number of the rooms occupied by household, type of dwelling for household, age of the household head, whether the household head has formal education level, the household size, type of the habitant for the household and the location of the household. This paper suggests deployment and utilization of solar potentiality for supplying the cleaner and modern fuel energy for lighting purposes in the remote area of Rwanda.},
year = {2021}
}
TY - JOUR T1 - Analysis of Household Lighting Fuel Choice in Rwanda: Multinomial Logit Model AU - Niyonshuti Emmanuel Y1 - 2021/08/31 PY - 2021 N1 - https://doi.org/10.11648/j.ajme.20210704.14 DO - 10.11648/j.ajme.20210704.14 T2 - American Journal of Modern Energy JF - American Journal of Modern Energy JO - American Journal of Modern Energy SP - 69 EP - 74 PB - Science Publishing Group SN - 2575-3797 UR - https://doi.org/10.11648/j.ajme.20210704.14 AB - The overdependence on using traditional fuels for lighting purposes is closely associated to indoor air pollution, environmental humiliation and high opportunity cost for women and children and consequently affect household well-being, the social economic welfare of deprived population in developing nations to be improved there should consider the adoption and usage of modern lighting services as very important. This paper identifies the determining control factors that influence the fuel energy choice for lighting purposes in Rwanda by applying the Multinomial logit regression to the national representative survey at household level data. The study revealed that the households with higher income are adopting to use the cleaner and modern fuel energy source, confirming the hypothesis for energy ladder. Not only household income exerting impact on the fuel energy choice for lighting, the other fuel choices significant determining variables in Rwanda are: number of the rooms occupied by household, type of dwelling for household, age of the household head, whether the household head has formal education level, the household size, type of the habitant for the household and the location of the household. This paper suggests deployment and utilization of solar potentiality for supplying the cleaner and modern fuel energy for lighting purposes in the remote area of Rwanda. VL - 7 IS - 4 ER -
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