Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models
Safe, clean, and affordable modern lighting services are crucial for improving the socio-economic welfare of the underprivileged people in developing countries. However, many of the Kenyan households are deprived of this service, and they continue to use traditional lighting devices to meet their li...
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doaj-e6685c68587741a3b0462e2ab11d30f62020-11-25T02:54:06ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2020-05-01810.3389/fenrg.2020.00070521116Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability ModelsYong Jun Baek0Tae Yong Jung1Sung Jin Kang2Asian Development Bank Institute (ADBI), Tokyo, JapanGraduate School of International Studies, Yonsei University, Seoul, South KoreaDepartment of Economics, Korea University, Seoul, South KoreaSafe, clean, and affordable modern lighting services are crucial for improving the socio-economic welfare of the underprivileged people in developing countries. However, many of the Kenyan households are deprived of this service, and they continue to use traditional lighting devices to meet their lighting demand. It is essential to understand the determinants which influence the household energy choice to promote the household energy transition from traditional to modern lighting fuels. Therefore, this study examines the determinants of household lighting fuel choice with multinomial probability models using the survey data collected by the Kenya National Bureau of Statistics (KNBS) in 2015/16. The key findings of this study are as follows. First, the results of this study have empirically proven the energy ladder hypothesis as the probability of choosing modern lighting fuel increases with a female household head, and with improvements in income, wealth and education. The energy ladder hypothesis has been confirmed in both cases of the household with and without the choice of grid electricity. Second, different socio-economic determinants for on- and off-grid household fuel choice are identified, which are the location of household, marital status, and household size. This is an important finding which shows that different policy designs are required to promote energy transition in on- and off-grid households.https://www.frontiersin.org/article/10.3389/fenrg.2020.00070/fullenergy transitionenergy ladder hypothesishousehold fuel choicemultinomial probability analysisKenya |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yong Jun Baek Tae Yong Jung Sung Jin Kang |
spellingShingle |
Yong Jun Baek Tae Yong Jung Sung Jin Kang Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models Frontiers in Energy Research energy transition energy ladder hypothesis household fuel choice multinomial probability analysis Kenya |
author_facet |
Yong Jun Baek Tae Yong Jung Sung Jin Kang |
author_sort |
Yong Jun Baek |
title |
Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models |
title_short |
Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models |
title_full |
Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models |
title_fullStr |
Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models |
title_full_unstemmed |
Analysis of Residential Lighting Fuel Choice in Kenya: Application of Multinomial Probability Models |
title_sort |
analysis of residential lighting fuel choice in kenya: application of multinomial probability models |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Energy Research |
issn |
2296-598X |
publishDate |
2020-05-01 |
description |
Safe, clean, and affordable modern lighting services are crucial for improving the socio-economic welfare of the underprivileged people in developing countries. However, many of the Kenyan households are deprived of this service, and they continue to use traditional lighting devices to meet their lighting demand. It is essential to understand the determinants which influence the household energy choice to promote the household energy transition from traditional to modern lighting fuels. Therefore, this study examines the determinants of household lighting fuel choice with multinomial probability models using the survey data collected by the Kenya National Bureau of Statistics (KNBS) in 2015/16. The key findings of this study are as follows. First, the results of this study have empirically proven the energy ladder hypothesis as the probability of choosing modern lighting fuel increases with a female household head, and with improvements in income, wealth and education. The energy ladder hypothesis has been confirmed in both cases of the household with and without the choice of grid electricity. Second, different socio-economic determinants for on- and off-grid household fuel choice are identified, which are the location of household, marital status, and household size. This is an important finding which shows that different policy designs are required to promote energy transition in on- and off-grid households. |
topic |
energy transition energy ladder hypothesis household fuel choice multinomial probability analysis Kenya |
url |
https://www.frontiersin.org/article/10.3389/fenrg.2020.00070/full |
work_keys_str_mv |
AT yongjunbaek analysisofresidentiallightingfuelchoiceinkenyaapplicationofmultinomialprobabilitymodels AT taeyongjung analysisofresidentiallightingfuelchoiceinkenyaapplicationofmultinomialprobabilitymodels AT sungjinkang analysisofresidentiallightingfuelchoiceinkenyaapplicationofmultinomialprobabilitymodels |
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1724722546001051648 |