A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda
This paper provides an analysis on the technical efficiency of iron biofortified bean production in Rwanda, as well as recommendations for implementation of targeted biofortification programs. We employ a three-pronged approach to examine efficiency across matched pairs of treated (i.e., grew iron b...
| Autores principales: | , , , , |
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| Formato: | Conference Paper |
| Lenguaje: | Inglés |
| Publicado: |
Agricultural and Applied Economics Association
2019
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/146287 |
| _version_ | 1855519819876532224 |
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| author | Funes, José Sun, Laixiang Benson, Todd Sedano, Fernando Baiocchi, Giovanni |
| author_browse | Baiocchi, Giovanni Benson, Todd Funes, José Sedano, Fernando Sun, Laixiang |
| author_facet | Funes, José Sun, Laixiang Benson, Todd Sedano, Fernando Baiocchi, Giovanni |
| author_sort | Funes, José |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper provides an analysis on the technical efficiency of iron biofortified bean production in Rwanda, as well as recommendations for implementation of targeted biofortification programs. We employ a three-pronged approach to examine efficiency across matched pairs of treated (i.e., grew iron biofortified beans) and control (i.e., grew other improved or traditional beans) bean growing households. First, bean growing households (treatment and control) were matched by using the spatial propensity score matching (PSM) approach. Second, efficiency was estimated using spatial autoregressive models and non-spatial stochastic frontier models on the three data groups: treatment, control, and pool. Third, an econometric analysis was conducted to explore factors affecting farmers’ efficiencies. All these steps were implemented separately for farmers who grew bush beans and for those who grew climbing beans. Results showed that for both types of bean growers, farmers who grew iron biofortified varieties were relatively more efficient and obtained greater bean production (by 3 percent for bush and 13 percent for climbing) than the control group. A spatial univariate clustering spatial analysis on farmers efficiency helped identify geographic areas in which farmers with high technical efficiency (i.e., hotspots) and low technical efficiency (i.e., cold spots) were located, and can be reached through targeted, tailor-made interventions. |
| format | Conference Paper |
| id | CGSpace146287 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Agricultural and Applied Economics Association |
| publisherStr | Agricultural and Applied Economics Association |
| record_format | dspace |
| spelling | CGSpace1462872024-11-13T12:23:08Z A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda Funes, José Sun, Laixiang Benson, Todd Sedano, Fernando Baiocchi, Giovanni spatial data efficiency biofortification programmes crop production econometrics beans iron This paper provides an analysis on the technical efficiency of iron biofortified bean production in Rwanda, as well as recommendations for implementation of targeted biofortification programs. We employ a three-pronged approach to examine efficiency across matched pairs of treated (i.e., grew iron biofortified beans) and control (i.e., grew other improved or traditional beans) bean growing households. First, bean growing households (treatment and control) were matched by using the spatial propensity score matching (PSM) approach. Second, efficiency was estimated using spatial autoregressive models and non-spatial stochastic frontier models on the three data groups: treatment, control, and pool. Third, an econometric analysis was conducted to explore factors affecting farmers’ efficiencies. All these steps were implemented separately for farmers who grew bush beans and for those who grew climbing beans. Results showed that for both types of bean growers, farmers who grew iron biofortified varieties were relatively more efficient and obtained greater bean production (by 3 percent for bush and 13 percent for climbing) than the control group. A spatial univariate clustering spatial analysis on farmers efficiency helped identify geographic areas in which farmers with high technical efficiency (i.e., hotspots) and low technical efficiency (i.e., cold spots) were located, and can be reached through targeted, tailor-made interventions. 2019-10-21 2024-06-21T09:06:30Z 2024-06-21T09:06:30Z Conference Paper https://hdl.handle.net/10568/146287 en Open Access Agricultural and Applied Economics Association Funes, José; Sun, Laixiang; Benson, Todd; Sedano, Fernando; and Baiocchi, Giovanni. 2019. A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda. Presented at the AAEA Annual Meeting in Atlanta Marriott Marquis in Atlanta, United States, July 21-23, 2019. https://purl.umn.edu/291199 |
| spellingShingle | spatial data efficiency biofortification programmes crop production econometrics beans iron Funes, José Sun, Laixiang Benson, Todd Sedano, Fernando Baiocchi, Giovanni A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title | A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title_full | A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title_fullStr | A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title_full_unstemmed | A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title_short | A case for space: The efficiency spillover effect of iron biofortified beans in Rwanda |
| title_sort | case for space the efficiency spillover effect of iron biofortified beans in rwanda |
| topic | spatial data efficiency biofortification programmes crop production econometrics beans iron |
| url | https://hdl.handle.net/10568/146287 |
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