Estimation and determinants of multidimensional energy poverty among households in Nigeria
The sustainable use of clean and safe sources of energy is indeed a global challenge. Traditional and unsafe forms of energy use is predominant among households in sub-Saharan Africa. This is not only a threat to the environment, but also constitutes health risk to the population. In the Nigeria con...
| Autores principales: | , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2020
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/142911 |
| _version_ | 1855534831972122624 |
|---|---|
| author | Ashagidigbi, Waheed Mobolaji Babatunde, Bashirat Adenike Ogunniyi, Adebayo Olagunju, Kehinde Oluseyi Omotayo, Abiodun Olusola |
| author_browse | Ashagidigbi, Waheed Mobolaji Babatunde, Bashirat Adenike Ogunniyi, Adebayo Olagunju, Kehinde Oluseyi Omotayo, Abiodun Olusola |
| author_facet | Ashagidigbi, Waheed Mobolaji Babatunde, Bashirat Adenike Ogunniyi, Adebayo Olagunju, Kehinde Oluseyi Omotayo, Abiodun Olusola |
| author_sort | Ashagidigbi, Waheed Mobolaji |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The sustainable use of clean and safe sources of energy is indeed a global challenge. Traditional and unsafe forms of energy use is predominant among households in sub-Saharan Africa. This is not only a threat to the environment, but also constitutes health risk to the population. In the Nigeria context, this study provides the first attempt to estimate household energy poverty status and also investigate the driving factors of household energy poverty status using the National Demographic Health Survey (NDHS) dataset. The analytical techniques adopted in this study are based on Multidimensional Energy Poverty Index (MEPI) and Tobit regression model. Our results show that national average MEPI was 0.38, suggesting that majority of the households are energy poor. Energy poverty is however found to be higher in rural areas than in urban areas. We also found that male-headed households, age, rural sector and northeast residents are found to be the energy poverty enhancing factors, while household income and credit access are energy poverty inhibiting factors. The study concludes that income smoothening among other energy poverty reduction interventions should be prioritized, especially among rural households in order to help them exit energy poverty trap. |
| format | Journal Article |
| id | CGSpace142911 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1429112024-10-25T08:03:54Z Estimation and determinants of multidimensional energy poverty among households in Nigeria Ashagidigbi, Waheed Mobolaji Babatunde, Bashirat Adenike Ogunniyi, Adebayo Olagunju, Kehinde Oluseyi Omotayo, Abiodun Olusola energy sources gender regression analysis energy poverty households multidimensional poverty index poverty energy The sustainable use of clean and safe sources of energy is indeed a global challenge. Traditional and unsafe forms of energy use is predominant among households in sub-Saharan Africa. This is not only a threat to the environment, but also constitutes health risk to the population. In the Nigeria context, this study provides the first attempt to estimate household energy poverty status and also investigate the driving factors of household energy poverty status using the National Demographic Health Survey (NDHS) dataset. The analytical techniques adopted in this study are based on Multidimensional Energy Poverty Index (MEPI) and Tobit regression model. Our results show that national average MEPI was 0.38, suggesting that majority of the households are energy poor. Energy poverty is however found to be higher in rural areas than in urban areas. We also found that male-headed households, age, rural sector and northeast residents are found to be the energy poverty enhancing factors, while household income and credit access are energy poverty inhibiting factors. The study concludes that income smoothening among other energy poverty reduction interventions should be prioritized, especially among rural households in order to help them exit energy poverty trap. 2020-10-01 2024-05-22T12:11:18Z 2024-05-22T12:11:18Z Journal Article https://hdl.handle.net/10568/142911 en Open Access MDPI Ashagidigbi, Waheed Mobolaji; Babatunde, Bashirat Adenike; Ogunniyi, Adebayo; Olagunju, Kehinde Oluseyi; and Omotayo, Abiodun Olusola. 2020. Estimation and determinants of multidimensional energy poverty among households in Nigeria. Sustainability 12(18): 7332. https://doi.org/10.3390/su12187332 |
| spellingShingle | energy sources gender regression analysis energy poverty households multidimensional poverty index poverty energy Ashagidigbi, Waheed Mobolaji Babatunde, Bashirat Adenike Ogunniyi, Adebayo Olagunju, Kehinde Oluseyi Omotayo, Abiodun Olusola Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title | Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title_full | Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title_fullStr | Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title_full_unstemmed | Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title_short | Estimation and determinants of multidimensional energy poverty among households in Nigeria |
| title_sort | estimation and determinants of multidimensional energy poverty among households in nigeria |
| topic | energy sources gender regression analysis energy poverty households multidimensional poverty index poverty energy |
| url | https://hdl.handle.net/10568/142911 |
| work_keys_str_mv | AT ashagidigbiwaheedmobolaji estimationanddeterminantsofmultidimensionalenergypovertyamonghouseholdsinnigeria AT babatundebashiratadenike estimationanddeterminantsofmultidimensionalenergypovertyamonghouseholdsinnigeria AT ogunniyiadebayo estimationanddeterminantsofmultidimensionalenergypovertyamonghouseholdsinnigeria AT olagunjukehindeoluseyi estimationanddeterminantsofmultidimensionalenergypovertyamonghouseholdsinnigeria AT omotayoabiodunolusola estimationanddeterminantsofmultidimensionalenergypovertyamonghouseholdsinnigeria |