Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants
The scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 201...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
MDPI
2020
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/117544 |
| _version_ | 1855523619728261120 |
|---|---|
| author | Olarinde, L.O. Abass, A. Abdoulaye, T. Adepoju, A.A. Fanifosi, E.G. Adio, M.O. Adeniyi, O.A. Wasiu, A. |
| author_browse | Abass, A. Abdoulaye, T. Adeniyi, O.A. Adepoju, A.A. Adio, M.O. Fanifosi, E.G. Olarinde, L.O. Wasiu, A. |
| author_facet | Olarinde, L.O. Abass, A. Abdoulaye, T. Adepoju, A.A. Fanifosi, E.G. Adio, M.O. Adeniyi, O.A. Wasiu, A. |
| author_sort | Olarinde, L.O. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 2015 on 775 cassava farmers spread across four geographical zones, this study estimates multidimensional poverty of cassava producers in Nigeria. This is to determine the factors responsible for poverty increase and contribution(s) of these factors to poverty. The study found that about 74% of the respondents were multidimensionally poor. Assets and public/housing utility were the main contributors to aggregate multidimensional poverty index (MPI), while education and health contributed most to povertyreduction. The results also showed major contributing indicators to MPI to be formal employment, school enrolment, years of schooling, frequency of hospital visits, and household assets’ ownership. The South-eastzone of Nigeria had the highest adjusted headcount of poverty among cassava producers. The estimated coefficient of age, farming experience, years of schooling, household size, and access to informal credit were significant determinants of poverty in the study area. In conclusion, the results suggest that although Nigeria is a federation of more than 30 states that continue to rely on nation-wide policy initiatives of the central government, policies on cassava aiming to lift millions of people out of poverty should instead vary according to the peculiar poverty dimensions of each federation unit. We suggest reform in the agriculture sector that will emphasize facilitation and access to incentives (credits, training, extension, cooperate system, etc.) by younger farmers to engage in modern cassava farming, thereby, enhancing the chances of rural cassava growers to move out of poverty. |
| format | Journal Article |
| id | CGSpace117544 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | MDPI |
| publisherStr | MDPI |
| record_format | dspace |
| spelling | CGSpace1175442025-11-21T00:54:22Z Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants Olarinde, L.O. Abass, A. Abdoulaye, T. Adepoju, A.A. Fanifosi, E.G. Adio, M.O. Adeniyi, O.A. Wasiu, A. poverty cassava farmers nigeria multidimensional poverty index The scourge of poverty, including its correlates, has been witnessing an incremental sequence over the years in Nigeria despite the natural endowment of the country. Efforts by various stakeholders to address this problem have not yielded tangible results. Using cross-sectional data collected in 2015 on 775 cassava farmers spread across four geographical zones, this study estimates multidimensional poverty of cassava producers in Nigeria. This is to determine the factors responsible for poverty increase and contribution(s) of these factors to poverty. The study found that about 74% of the respondents were multidimensionally poor. Assets and public/housing utility were the main contributors to aggregate multidimensional poverty index (MPI), while education and health contributed most to povertyreduction. The results also showed major contributing indicators to MPI to be formal employment, school enrolment, years of schooling, frequency of hospital visits, and household assets’ ownership. The South-eastzone of Nigeria had the highest adjusted headcount of poverty among cassava producers. The estimated coefficient of age, farming experience, years of schooling, household size, and access to informal credit were significant determinants of poverty in the study area. In conclusion, the results suggest that although Nigeria is a federation of more than 30 states that continue to rely on nation-wide policy initiatives of the central government, policies on cassava aiming to lift millions of people out of poverty should instead vary according to the peculiar poverty dimensions of each federation unit. We suggest reform in the agriculture sector that will emphasize facilitation and access to incentives (credits, training, extension, cooperate system, etc.) by younger farmers to engage in modern cassava farming, thereby, enhancing the chances of rural cassava growers to move out of poverty. 2020 2022-01-18T10:49:55Z 2022-01-18T10:49:55Z Journal Article https://hdl.handle.net/10568/117544 en Open Access application/pdf MDPI Olarinde, L.O., Abass, A., Abdoulaye, T., Adepoju, A.A., Fanifosi, E.G., Adio, M.O., ... & Wasiu, A. (2020). Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants. Sustainability, 12(13), 5366: 1-17. |
| spellingShingle | poverty cassava farmers nigeria multidimensional poverty index Olarinde, L.O. Abass, A. Abdoulaye, T. Adepoju, A.A. Fanifosi, E.G. Adio, M.O. Adeniyi, O.A. Wasiu, A. Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title | Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title_full | Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title_fullStr | Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title_full_unstemmed | Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title_short | Estimating multidimensional poverty AmongCassava producers in Nigeria: patterns and socioeconomic determinants |
| title_sort | estimating multidimensional poverty amongcassava producers in nigeria patterns and socioeconomic determinants |
| topic | poverty cassava farmers nigeria multidimensional poverty index |
| url | https://hdl.handle.net/10568/117544 |
| work_keys_str_mv | AT olarindelo estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT abassa estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT abdoulayet estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT adepojuaa estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT fanifosieg estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT adiomo estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT adeniyioa estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants AT wasiua estimatingmultidimensionalpovertyamongcassavaproducersinnigeriapatternsandsocioeconomicdeterminants |