Does farm structure affect rural household incomes? Evidence from Tanzania
Many African countries have recently experienced rapid growth in the numbers of medium- and large-scale farms. These developments have generated considerable speculation about the impacts of farmland concentration and inequality on smallholder households and communities. This study exploits inter-di...
| Autores principales: | , |
|---|---|
| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Elsevier
2020
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/171244 |
| _version_ | 1855515856674488320 |
|---|---|
| author | Chamberlin, Jordan Jayne, T. S. |
| author_browse | Chamberlin, Jordan Jayne, T. S. |
| author_facet | Chamberlin, Jordan Jayne, T. S. |
| author_sort | Chamberlin, Jordan |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Many African countries have recently experienced rapid growth in the numbers of medium- and large-scale farms. These developments have generated considerable speculation about the impacts of farmland concentration and inequality on smallholder households and communities. This study exploits inter-district variation in farm landholding patterns in Tanzania to determine how differences in localized farmland structure affect rural household incomes using nationally representative household panel survey data. Because farm structure is a multifaceted concept, five alternative indicators of farmland structure are defined for 142 districts in Tanzania: (i) the Gini coefficient; (ii) skewness; (iii) coefficient of variation; (iv) share of controlled farmland under medium-scale farms; and (v) share of controlled farmland under large farms. These alternative farm structure variables are included in models of rural household income to test their effects after controlling for available household and community covariates. The study highlights four main findings. First, most indicators of farmland concentration are positively associated with rural household incomes. Second, household incomes from farm and non-farm sources are positively and significantly associated with the share of land in the district controlled by farms in the 5–10 and 5–20 ha category. Third, these positive spillover benefits are smaller and less statistically significant in districts with a relatively high share of farmland controlled by farms over 20 ha in size. Fourth, poor rural households are least able to capture the positive spillovers generated by medium-scale farms and by concentrated farmland patterns. |
| format | Journal Article |
| id | CGSpace171244 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | CGSpace1712442025-02-19T14:36:03Z Does farm structure affect rural household incomes? Evidence from Tanzania Chamberlin, Jordan Jayne, T. S. farm structure agricultural structure rural population household income income households farm size land concentration land management equality Many African countries have recently experienced rapid growth in the numbers of medium- and large-scale farms. These developments have generated considerable speculation about the impacts of farmland concentration and inequality on smallholder households and communities. This study exploits inter-district variation in farm landholding patterns in Tanzania to determine how differences in localized farmland structure affect rural household incomes using nationally representative household panel survey data. Because farm structure is a multifaceted concept, five alternative indicators of farmland structure are defined for 142 districts in Tanzania: (i) the Gini coefficient; (ii) skewness; (iii) coefficient of variation; (iv) share of controlled farmland under medium-scale farms; and (v) share of controlled farmland under large farms. These alternative farm structure variables are included in models of rural household income to test their effects after controlling for available household and community covariates. The study highlights four main findings. First, most indicators of farmland concentration are positively associated with rural household incomes. Second, household incomes from farm and non-farm sources are positively and significantly associated with the share of land in the district controlled by farms in the 5–10 and 5–20 ha category. Third, these positive spillover benefits are smaller and less statistically significant in districts with a relatively high share of farmland controlled by farms over 20 ha in size. Fourth, poor rural households are least able to capture the positive spillovers generated by medium-scale farms and by concentrated farmland patterns. 2020-01 2025-01-29T12:57:54Z 2025-01-29T12:57:54Z Journal Article https://hdl.handle.net/10568/171244 en Open Access Elsevier Chamberlin, Jordan; and Jayne, T. S. 2020. Does farm structure affect rural household incomes? Evidence from Tanzania. Food Policy 90: 101805. https://doi.org/10.1016/j.foodpol.2019.101805 |
| spellingShingle | farm structure agricultural structure rural population household income income households farm size land concentration land management equality Chamberlin, Jordan Jayne, T. S. Does farm structure affect rural household incomes? Evidence from Tanzania |
| title | Does farm structure affect rural household incomes? Evidence from Tanzania |
| title_full | Does farm structure affect rural household incomes? Evidence from Tanzania |
| title_fullStr | Does farm structure affect rural household incomes? Evidence from Tanzania |
| title_full_unstemmed | Does farm structure affect rural household incomes? Evidence from Tanzania |
| title_short | Does farm structure affect rural household incomes? Evidence from Tanzania |
| title_sort | does farm structure affect rural household incomes evidence from tanzania |
| topic | farm structure agricultural structure rural population household income income households farm size land concentration land management equality |
| url | https://hdl.handle.net/10568/171244 |
| work_keys_str_mv | AT chamberlinjordan doesfarmstructureaffectruralhouseholdincomesevidencefromtanzania AT jaynets doesfarmstructureaffectruralhouseholdincomesevidencefromtanzania |