Determinants of households' energy consumption in Kebbi State Nigeria

This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (h...
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Autor*in:	Baraya, Abdul-Azeez Sani [verfasserIn] Rossanto Dwi Handoyo [verfasserIn] Ibrahim, Kabiru Hannafi [verfasserIn] Yusuf, Ahmed Abdulfatahi [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Rechteinformationen:	Open Access Namensnennung 4.0 International ; CC BY 4.0

Schlagwörter:	energy consumption households' energy consumption expenditure Kebbi State Nigeria logit regression model

Übergeordnetes Werk:	Enthalten in: Cogent economics & finance - Abingdon : Taylor & Francis, 2014, 11(2023), 2, Artikel-ID 2242731, Seite 1-19
Übergeordnetes Werk:	volume:11 ; year:2023 ; number:2 ; elocationid:2242731 ; pages:1-19

Links:	Link aufrufen Link aufrufen Link aufrufen

DOI / URN:	10.1080/23322039.2023.2242731

Katalog-ID:	1884722466

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allfields	10.1080/23322039.2023.2242731 doi 10419/304166 hdl (DE-627)1884722466 (DE-599)KXP1884722466 DE-627 ger DE-627 rda eng O13 P28 Q42 Q43 Q47 jelc Baraya, Abdul-Azeez Sani verfasserin (DE-588)1329424050 (DE-627)188859800X aut Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206 Rossanto Dwi Handoyo verfasserin (DE-588)1194433766 (DE-627)167640063X aut Ibrahim, Kabiru Hannafi verfasserin (DE-588)1249932203 (DE-627)1786560488 aut Yusuf, Ahmed Abdulfatahi verfasserin (DE-588)1329424123 (DE-627)1888598204 aut Enthalten in Cogent economics & finance Abingdon : Taylor & Francis, 2014 11(2023), 2, Artikel-ID 2242731, Seite 1-19 Online-Ressource (DE-627)786946385 (DE-600)2773198-4 (DE-576)407862285 2332-2039 nnns volume:11 year:2023 number:2 elocationid:2242731 pages:1-19 https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 Verlag kostenfrei https://doi.org/10.1080/23322039.2023.2242731 Resolving-System kostenfrei https://hdl.handle.net/10419/304166 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 11 2023 2 2242731 1-19 26 01 0206 4506334604 x1z 02-04-24 2403 01 DE-LFER 4511496013 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1080/23322039.2023.2242731 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731
spelling	10.1080/23322039.2023.2242731 doi 10419/304166 hdl (DE-627)1884722466 (DE-599)KXP1884722466 DE-627 ger DE-627 rda eng O13 P28 Q42 Q43 Q47 jelc Baraya, Abdul-Azeez Sani verfasserin (DE-588)1329424050 (DE-627)188859800X aut Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206 Rossanto Dwi Handoyo verfasserin (DE-588)1194433766 (DE-627)167640063X aut Ibrahim, Kabiru Hannafi verfasserin (DE-588)1249932203 (DE-627)1786560488 aut Yusuf, Ahmed Abdulfatahi verfasserin (DE-588)1329424123 (DE-627)1888598204 aut Enthalten in Cogent economics & finance Abingdon : Taylor & Francis, 2014 11(2023), 2, Artikel-ID 2242731, Seite 1-19 Online-Ressource (DE-627)786946385 (DE-600)2773198-4 (DE-576)407862285 2332-2039 nnns volume:11 year:2023 number:2 elocationid:2242731 pages:1-19 https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 Verlag kostenfrei https://doi.org/10.1080/23322039.2023.2242731 Resolving-System kostenfrei https://hdl.handle.net/10419/304166 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 11 2023 2 2242731 1-19 26 01 0206 4506334604 x1z 02-04-24 2403 01 DE-LFER 4511496013 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1080/23322039.2023.2242731 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731
allfields_unstemmed	10.1080/23322039.2023.2242731 doi 10419/304166 hdl (DE-627)1884722466 (DE-599)KXP1884722466 DE-627 ger DE-627 rda eng O13 P28 Q42 Q43 Q47 jelc Baraya, Abdul-Azeez Sani verfasserin (DE-588)1329424050 (DE-627)188859800X aut Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206 Rossanto Dwi Handoyo verfasserin (DE-588)1194433766 (DE-627)167640063X aut Ibrahim, Kabiru Hannafi verfasserin (DE-588)1249932203 (DE-627)1786560488 aut Yusuf, Ahmed Abdulfatahi verfasserin (DE-588)1329424123 (DE-627)1888598204 aut Enthalten in Cogent economics & finance Abingdon : Taylor & Francis, 2014 11(2023), 2, Artikel-ID 2242731, Seite 1-19 Online-Ressource (DE-627)786946385 (DE-600)2773198-4 (DE-576)407862285 2332-2039 nnns volume:11 year:2023 number:2 elocationid:2242731 pages:1-19 https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 Verlag kostenfrei https://doi.org/10.1080/23322039.2023.2242731 Resolving-System kostenfrei https://hdl.handle.net/10419/304166 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 11 2023 2 2242731 1-19 26 01 0206 4506334604 x1z 02-04-24 2403 01 DE-LFER 4511496013 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1080/23322039.2023.2242731 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731
allfieldsGer	10.1080/23322039.2023.2242731 doi 10419/304166 hdl (DE-627)1884722466 (DE-599)KXP1884722466 DE-627 ger DE-627 rda eng O13 P28 Q42 Q43 Q47 jelc Baraya, Abdul-Azeez Sani verfasserin (DE-588)1329424050 (DE-627)188859800X aut Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206 Rossanto Dwi Handoyo verfasserin (DE-588)1194433766 (DE-627)167640063X aut Ibrahim, Kabiru Hannafi verfasserin (DE-588)1249932203 (DE-627)1786560488 aut Yusuf, Ahmed Abdulfatahi verfasserin (DE-588)1329424123 (DE-627)1888598204 aut Enthalten in Cogent economics & finance Abingdon : Taylor & Francis, 2014 11(2023), 2, Artikel-ID 2242731, Seite 1-19 Online-Ressource (DE-627)786946385 (DE-600)2773198-4 (DE-576)407862285 2332-2039 nnns volume:11 year:2023 number:2 elocationid:2242731 pages:1-19 https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 Verlag kostenfrei https://doi.org/10.1080/23322039.2023.2242731 Resolving-System kostenfrei https://hdl.handle.net/10419/304166 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 11 2023 2 2242731 1-19 26 01 0206 4506334604 x1z 02-04-24 2403 01 DE-LFER 4511496013 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1080/23322039.2023.2242731 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731
allfieldsSound	10.1080/23322039.2023.2242731 doi 10419/304166 hdl (DE-627)1884722466 (DE-599)KXP1884722466 DE-627 ger DE-627 rda eng O13 P28 Q42 Q43 Q47 jelc Baraya, Abdul-Azeez Sani verfasserin (DE-588)1329424050 (DE-627)188859800X aut Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2 This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable. DE-206 Namensnennung 4.0 International CC BY 4.0 cc https://creativecommons.org/licenses/by/4.0/ energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206 Rossanto Dwi Handoyo verfasserin (DE-588)1194433766 (DE-627)167640063X aut Ibrahim, Kabiru Hannafi verfasserin (DE-588)1249932203 (DE-627)1786560488 aut Yusuf, Ahmed Abdulfatahi verfasserin (DE-588)1329424123 (DE-627)1888598204 aut Enthalten in Cogent economics & finance Abingdon : Taylor & Francis, 2014 11(2023), 2, Artikel-ID 2242731, Seite 1-19 Online-Ressource (DE-627)786946385 (DE-600)2773198-4 (DE-576)407862285 2332-2039 nnns volume:11 year:2023 number:2 elocationid:2242731 pages:1-19 https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 Verlag kostenfrei https://doi.org/10.1080/23322039.2023.2242731 Resolving-System kostenfrei https://hdl.handle.net/10419/304166 Resolving-System kostenfrei GBV_USEFLAG_U GBV_ILN_26 ISIL_DE-206 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_72 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2034 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4116 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4155 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4315 GBV_ILN_4317 GBV_ILN_4318 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 GBV_ILN_2403 GBV_ILN_2403 ISIL_DE-LFER AR 11 2023 2 2242731 1-19 26 01 0206 4506334604 x1z 02-04-24 2403 01 DE-LFER 4511496013 00 --%%-- --%%-- n --%%-- l01 13-04-24 2403 01 DE-LFER https://doi.org/10.1080/23322039.2023.2242731 2403 01 DE-LFER https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731
language	English
source	Enthalten in Cogent economics & finance 11(2023), 2, Artikel-ID 2242731, Seite 1-19 volume:11 year:2023 number:2 elocationid:2242731 pages:1-19
sourceStr	Enthalten in Cogent economics & finance 11(2023), 2, Artikel-ID 2242731, Seite 1-19 volume:11 year:2023 number:2 elocationid:2242731 pages:1-19
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topic_facet	energy consumption households' energy consumption expenditure Kebbi State Nigeria logit regression model
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container_title	Cogent economics & finance
authorswithroles_txt_mv	Baraya, Abdul-Azeez Sani @@aut@@ Rossanto Dwi Handoyo @@aut@@ Ibrahim, Kabiru Hannafi @@aut@@ Yusuf, Ahmed Abdulfatahi @@aut@@
publishDateDaySort_date	2023-01-01T00:00:00Z
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topic_title	O13 P28 Q42 Q43 Q47 jelc Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf energy consumption (dpeaa)DE-206 households' energy consumption expenditure (dpeaa)DE-206 Kebbi State Nigeria (dpeaa)DE-206 logit regression model (dpeaa)DE-206
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title_full	Determinants of households' energy consumption in Kebbi State Nigeria Abdul-Azeez Sani Baraya, Rossanto Dwi Handoyo, Kabiru Hannafi Ibrahim and Ahmed Abdulfatahi Yusuf
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title_sort	determinants of households' energy consumption in kebbi state nigeria
title_auth	Determinants of households' energy consumption in Kebbi State Nigeria
abstract	This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable.
abstractGer	This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable.
abstract_unstemmed	This study aims to scrutinize the determinants of household energy consumption needs in Kebbi State, Nigeria. The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. Based on the findings, the study therefore, recommends the need to ensure the availability and affordability of safer forms of energy as well as invest more in making renewable energy available and affordable.
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title_short	Determinants of households' energy consumption in Kebbi State Nigeria
url	https://www.tandfonline.com/doi/pdf/10.1080/23322039.2023.2242731 https://doi.org/10.1080/23322039.2023.2242731 https://hdl.handle.net/10419/304166
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The data for the study were sourced from household heads within the study area. The paper analyzes the determinants of household energy consumption using six energy consumption indicators (household expenditure on energy, electricity, LPG, kerosene, charcoal, and biomass). To analyze the data, the study used descriptive statistics and binary logistic regression (which has rarely been used in this kind of study) which broaden our understanding of social, economic, and environmental perspectives on energy usage. Our empirical strategy indicates that all the instruments used are appropriate based on Cronbach's alpha scale value of greater than 0.9. Education level was found to be a significant factor in energy expenditure by household, electricity, LPG, and kerosene usage, while negatively correlated with biomass usage. A binary logit regression model revealed that household head income, availability of different energy choices, reliability, and affordability are the major determinants of household energy consumption needs. Findings further show that low-income household heads which account for more than 60% of the respondents rely heavily on the traditional methods of biomass to meet their energy needs. The finding further revealed that 72.80% of the respondents confirmed that accessibility is one of the driving forces which determines their energy choice. 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Determinants of households' energy consumption in Kebbi State Nigeria

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