scholarly journals Determinants of Household Energy Choice for Cooking in Northern Sudan: A Multinomial Logit Estimation

2021 ◽  
Vol 18 (21) ◽  
pp. 11480
Author(s):  
Philbert Mperejekumana ◽  
Huan Li ◽  
Rucong Wu ◽  
Jiaxin Lu ◽  
Obid Tursunov ◽  
...  
Keyword(s):  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Energy Utilization ◽  
Liquefied Petroleum Gas ◽  
Household Energy ◽  
Credit Access ◽  
Logit Estimation ◽  
Cooking Energy ◽  
Cooking Fuels ◽  
Additional Level

Traditional biomass utilization is connected with negative environmental and human health impacts. However, its transition to cleaner cooking fuels is still low where the household’s fuels preferences play an important role in the process. To examine the factors that influence the household’s cooking fuel choice in Northern Sudan, a multinomial logit model (MNL) was used to analyze data collected from Kassala state in two selected districts, New Halfa and Nahr Atabara. The findings show that the most utilized fuels are still firewood and charcoal, which are used by 63.4% of all respondents. The results also revealed that socioeconomic factors have an impact on household fuel choice, where one additional unit of credit access may boost the possibility of choosing LPG by 22.7%. Furthermore, one additional level of education would reduce 5.4% of charcoal users while simultaneously raising 10% of current liquefied petroleum gas (LPG) users. Therefore, the study suggests initiating mobilization and training programs to raise awareness and encourage the usage of cleaner fuels. This study will provide policymakers with information on household cooking energy utilization while designing and developing policies related to energy. It will also contribute to the expanding body of literature concerning the transition to clean cooking fuels from traditional biomass.

scholarly journals Why energy access is not enough for choosing clean cooking fuels? Evidence from the multinomial logit model

2021 ◽  
Vol 290 ◽  
pp. 112539
Author(s):  
Zhanna Kapsalyamova ◽  
Ranjeeta Mishra ◽  
Aiymgul Kerimray ◽  
Kamalbek Karymshakov ◽  
Dina Azhgaliyeva
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Energy Access ◽  
Cooking Fuels

scholarly journals Correlates of Ghanaian households’ use of clean cooking fuels: insight from the 2014 demographic and health surveys

2020 ◽  
Author(s):  
Seth Sylvester Dadzie ◽  
Paul Lawer Kenney ◽  
Nakua Kweku Emmanuel ◽  
Agboh Nuake Kofi Herman ◽  
Duah Ofori Henry ◽  
...  
Keyword(s):  
Environmental Sustainability ◽  
Health Surveys ◽  
Sustainable Consumption ◽  
Demographic And Health Surveys ◽  
Liquefied Petroleum Gas ◽  
Multivariable Model ◽  
Sampling Weights ◽  
Cross Sectional ◽  
Cooking Energy ◽  
Cooking Fuels

Abstract Background: Globally, about 2.9 billion persons, the majority of whom are from low and middle-income countries, depend on poorly combusted biomass and coal for cooking and heating. Given the negative toll the use of poorly combusted fuels have on people’s health and quality of life, homes are admonished to use for cooking clean fuels that promote optimal health such as liquefied petroleum gas (LPG), natural gases, electricity, and improved biomass cook-stoves. The use of clean cooking fuels has other co-benefits such as reduce deforestation and lower climate-changing emissions. Although information on the prevalence of access to clean cooking energy is known, studies on the social, economic, and geographic factors that may explain the low adoption in households are rare. In this paper, we aim to determine the major covariates of households’ access to clean cooking energy in Ghana.Methods: The study used the data of the cross-sectional demographic and health surveys conducted in 2014. Chi-square test of independence was used to identify the covariates that were statistically significant related to households’ use of CF&HPFs for the multivariable model. In the multivariable model, we reported prevalence ratios using the generalized linear model (glm), setting the family to “Poisson” and the link to “log.” The estimation adjusted for the study designed and the household sampling weights.Results: The main finding was that rich households were 8.85 times likely to use CF&HPFs compared to poor households. We further found that the following factors were associated with a higher probability of a Ghanaian household to use climate-friendly and health-promoting fuels for cooking: male-headed households, households’ headed by persons between 24years and 55 years, households with heads that were currently married or never married, households with heads that have attained at least a primary level education, households with less than eight members, households with at least two women, and households in Western, Central, Greater Accra, Volta, Eastern, Ashanti, Brong Ahafo, Upper East region. Conclusion: In view of these findings, we recommend: a national effort to subsidize and make affordable the purchase of LPG and the stoves that burn it even to the poorest household; education on efficient and sustainable consumption must be intensified and incorporated in the basic school’s curriculum to ensure the future generation are more environmental sustainability and health-conscious; creation of multiple LPG refilling outlets in all the regions in Ghana.

Assortment Optimization under the Multinomial Logit Model with Random Choice Parameters

2014 ◽  
Vol 23 (11) ◽  
pp. 2023-2039 ◽  
Author(s):  
Paat Rusmevichientong ◽  
David Shmoys ◽  
Chaoxu Tong ◽  
Huseyin Topaloglu
Keyword(s):  
Logit Model ◽  
Multinomial Logit Model ◽  
Multinomial Logit ◽  
Random Choice ◽  
Assortment Optimization
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