The poverty impacts of improved soybean technologies in Malawi
Improved soybean varieties and agronomic practices have been widely disseminated to smallholder farmers in Malawi over the last 15 years. However, there is no empirical evidence on the welfare impacts of adopting improved soybean technologies. This paper estimated the poverty impacts of adopting imp...
| Autores principales: | , , , , , , , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Informa UK Limited
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/114406 |
| _version_ | 1855537037128499200 |
|---|---|
| author | Hirpa Tufa, A. Alene, A. Manda, J. Feleke, S. Assfaw Wossen, T. Akinwale, M.G. Chikoye, David Manyong, Victor |
| author_browse | Akinwale, M.G. Alene, A. Assfaw Wossen, T. Chikoye, David Feleke, S. Hirpa Tufa, A. Manda, J. Manyong, Victor |
| author_facet | Hirpa Tufa, A. Alene, A. Manda, J. Feleke, S. Assfaw Wossen, T. Akinwale, M.G. Chikoye, David Manyong, Victor |
| author_sort | Hirpa Tufa, A. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Improved soybean varieties and agronomic practices have been widely disseminated to smallholder farmers in Malawi over the last 15 years. However, there is no empirical evidence on the welfare impacts of adopting improved soybean technologies. This paper estimated the poverty impacts of adopting improved soybean technologies using data from 1,234 households in six soybean growing districts accounting for over 80% of the total soybean production in the country. The results from an endogenous switching regression model showed that 32% of the sample households adopted improved soybean varieties and agronomic practices. The adoption benefits were higher for female-headed households and increased with the household head’s education and cultivated land areas. A comparison of the observed and counterfactual incomes for adopters based on the international poverty line of US$1.90 per capita per day showed a 4.16 percentage-point reduction in poverty among the sample households, translating to over 150,000 people lifted out of poverty. The household head’s education level, household size, cultivated land area, livestock size, and asset ownership are associated with the daily per capita income. The results point to the need for scaling up of improved soybean varieties and agronomic practices for greater impacts on poverty reduction among smallholders in Malawi. |
| format | Journal Article |
| id | CGSpace114406 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Informa UK Limited |
| publisherStr | Informa UK Limited |
| record_format | dspace |
| spelling | CGSpace1144062024-11-22T12:11:49Z The poverty impacts of improved soybean technologies in Malawi Hirpa Tufa, A. Alene, A. Manda, J. Feleke, S. Assfaw Wossen, T. Akinwale, M.G. Chikoye, David Manyong, Victor soybeans poverty impacts malawi agronomic practices Improved soybean varieties and agronomic practices have been widely disseminated to smallholder farmers in Malawi over the last 15 years. However, there is no empirical evidence on the welfare impacts of adopting improved soybean technologies. This paper estimated the poverty impacts of adopting improved soybean technologies using data from 1,234 households in six soybean growing districts accounting for over 80% of the total soybean production in the country. The results from an endogenous switching regression model showed that 32% of the sample households adopted improved soybean varieties and agronomic practices. The adoption benefits were higher for female-headed households and increased with the household head’s education and cultivated land areas. A comparison of the observed and counterfactual incomes for adopters based on the international poverty line of US$1.90 per capita per day showed a 4.16 percentage-point reduction in poverty among the sample households, translating to over 150,000 people lifted out of poverty. The household head’s education level, household size, cultivated land area, livestock size, and asset ownership are associated with the daily per capita income. The results point to the need for scaling up of improved soybean varieties and agronomic practices for greater impacts on poverty reduction among smallholders in Malawi. 2021-07-03 2021-07-27T10:12:53Z 2021-07-27T10:12:53Z Journal Article https://hdl.handle.net/10568/114406 en Limited Access Informa UK Limited Hirpa Tufa, A., Alene, A., Manda, J., Feleke, S., Assfaw Wossen, T., Akinwale, M.G., ... & Manyong, V. (2021). The poverty impacts of improved soybean technologies in Malawi. Agrekon, 1-20. |
| spellingShingle | soybeans poverty impacts malawi agronomic practices Hirpa Tufa, A. Alene, A. Manda, J. Feleke, S. Assfaw Wossen, T. Akinwale, M.G. Chikoye, David Manyong, Victor The poverty impacts of improved soybean technologies in Malawi |
| title | The poverty impacts of improved soybean technologies in Malawi |
| title_full | The poverty impacts of improved soybean technologies in Malawi |
| title_fullStr | The poverty impacts of improved soybean technologies in Malawi |
| title_full_unstemmed | The poverty impacts of improved soybean technologies in Malawi |
| title_short | The poverty impacts of improved soybean technologies in Malawi |
| title_sort | poverty impacts of improved soybean technologies in malawi |
| topic | soybeans poverty impacts malawi agronomic practices |
| url | https://hdl.handle.net/10568/114406 |
| work_keys_str_mv | AT hirpatufaa thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT alenea thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT mandaj thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT felekes thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT assfawwossent thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT akinwalemg thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT chikoyedavid thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT manyongvictor thepovertyimpactsofimprovedsoybeantechnologiesinmalawi AT hirpatufaa povertyimpactsofimprovedsoybeantechnologiesinmalawi AT alenea povertyimpactsofimprovedsoybeantechnologiesinmalawi AT mandaj povertyimpactsofimprovedsoybeantechnologiesinmalawi AT felekes povertyimpactsofimprovedsoybeantechnologiesinmalawi AT assfawwossent povertyimpactsofimprovedsoybeantechnologiesinmalawi AT akinwalemg povertyimpactsofimprovedsoybeantechnologiesinmalawi AT chikoyedavid povertyimpactsofimprovedsoybeantechnologiesinmalawi AT manyongvictor povertyimpactsofimprovedsoybeantechnologiesinmalawi |