Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection
Since 2003, Brazil has striven to provide energy access to all, in rural areas, in an effort to economically empower the communities. Unpacking fuel stacking behaviour can shed light onto the speed of transition toward the exclusive use of advanced fuel types. This paper presents findings from surve...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-07-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/13/15/3857 |
| _version_ | 1797561050816577536 |
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| author | Kojo Sarfo Gyamfi Elena Gaura James Brusey Alessandro Bezerra Trindade Nandor Verba |
| author_facet | Kojo Sarfo Gyamfi Elena Gaura James Brusey Alessandro Bezerra Trindade Nandor Verba |
| author_sort | Kojo Sarfo Gyamfi |
| collection | DOAJ |
| description | Since 2003, Brazil has striven to provide energy access to all, in rural areas, in an effort to economically empower the communities. Unpacking fuel stacking behaviour can shed light onto the speed of transition toward the exclusive use of advanced fuel types. This paper presents findings from surveys that were carried out with 14 non-electrified communities in a rural area of Rio Negro, Amazonas State, Brazil. We identify the fuel choice determinants in these communities using a multinomial logistic regression model and more generally discuss the validity and robustness of such models in the context of statistical validation and evaluation metrics. Specifically for the Amazonas communities considered in this study, the research showed that the fuel choice determinants are the age of household, the number of people at meals each day, the number of meals daily, the community, education of the household head, and the income level of the household. Moreover, given the Brazilian policies related to energy and sustainability, this region is not likely to reach the Sustainable Development Goals proposed by United Nations for 2030. |
| first_indexed | 2024-03-10T18:09:52Z |
| format | Article |
| id | doaj.art-3324216965df42e39052daf586c19041 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T18:09:52Z |
| publishDate | 2020-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3324216965df42e39052daf586c190412023-11-20T08:13:09ZengMDPI AGEnergies1996-10732020-07-011315385710.3390/en13153857Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature SelectionKojo Sarfo Gyamfi0Elena Gaura1James Brusey2Alessandro Bezerra Trindade3Nandor Verba4Centre for Data Science, Coventry University, Coventry CV1 5FB, UKCentre for Data Science, Coventry University, Coventry CV1 5FB, UKCentre for Data Science, Coventry University, Coventry CV1 5FB, UKDepartment of Electricity, Federal University of Amazonas (UFAM), AM 69067-005 Manaus, BrazilCentre for Data Science, Coventry University, Coventry CV1 5FB, UKSince 2003, Brazil has striven to provide energy access to all, in rural areas, in an effort to economically empower the communities. Unpacking fuel stacking behaviour can shed light onto the speed of transition toward the exclusive use of advanced fuel types. This paper presents findings from surveys that were carried out with 14 non-electrified communities in a rural area of Rio Negro, Amazonas State, Brazil. We identify the fuel choice determinants in these communities using a multinomial logistic regression model and more generally discuss the validity and robustness of such models in the context of statistical validation and evaluation metrics. Specifically for the Amazonas communities considered in this study, the research showed that the fuel choice determinants are the age of household, the number of people at meals each day, the number of meals daily, the community, education of the household head, and the income level of the household. Moreover, given the Brazilian policies related to energy and sustainability, this region is not likely to reach the Sustainable Development Goals proposed by United Nations for 2030.https://www.mdpi.com/1996-1073/13/15/3857rural electrificationfuel stackingfuel choicemultinomial logistic regression model |
| spellingShingle | Kojo Sarfo Gyamfi Elena Gaura James Brusey Alessandro Bezerra Trindade Nandor Verba Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection Energies rural electrification fuel stacking fuel choice multinomial logistic regression model |
| title | Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection |
| title_full | Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection |
| title_fullStr | Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection |
| title_full_unstemmed | Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection |
| title_short | Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection |
| title_sort | understanding household fuel choice behaviour in the amazonas state brazil effects of validation and feature selection |
| topic | rural electrification fuel stacking fuel choice multinomial logistic regression model |
| url | https://www.mdpi.com/1996-1073/13/15/3857 |
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