Evaluating value chain interventions: A review of recent evidence
Value chain interventions are rarely evaluated as rigorously as interventions in agricultural production or health. This is due to various reasons, including the intrinsic complexity of value chain interventions, intricate contextual support factors, presence of multilevel system actors, constant...
| Autores principales: | , |
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| Formato: | Artículo preliminar |
| Lenguaje: | Inglés |
| Publicado: |
International Livestock Research Institute
2014
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/42444 |
| _version_ | 1855517848361762816 |
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| author | Kidoido, Michael M. Child, K. |
| author_browse | Child, K. Kidoido, Michael M. |
| author_facet | Kidoido, Michael M. Child, K. |
| author_sort | Kidoido, Michael M. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Value chain interventions are rarely evaluated as rigorously as interventions in agricultural production or health.
This is due to various reasons, including the intrinsic complexity of value chain interventions, intricate contextual
support factors, presence of multilevel system actors, constant adaption to market and nonmarket forces and the cost
associated with conducting an evaluation. This paper discusses a range of approaches and benchmarks that can guide
future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction
of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions,
at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived
comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and
estimate treatment effects. Instrumental variables and difference-in-difference approaches are the common empirical
approaches used for mitigating selection bias due to unobservables. More meaningful value chain impact evaluations
should be prioritized from the beginning of any project and a significant amount of rigor should be maintained;
targeting a good balance of using model-based and theory-based approaches. |
| format | Artículo preliminar |
| id | CGSpace42444 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace424442025-11-04T20:22:05Z Evaluating value chain interventions: A review of recent evidence Kidoido, Michael M. Child, K. research value systems agriculture Value chain interventions are rarely evaluated as rigorously as interventions in agricultural production or health. This is due to various reasons, including the intrinsic complexity of value chain interventions, intricate contextual support factors, presence of multilevel system actors, constant adaption to market and nonmarket forces and the cost associated with conducting an evaluation. This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects. Instrumental variables and difference-in-difference approaches are the common empirical approaches used for mitigating selection bias due to unobservables. More meaningful value chain impact evaluations should be prioritized from the beginning of any project and a significant amount of rigor should be maintained; targeting a good balance of using model-based and theory-based approaches. 2014-09-10 2014-09-17T18:59:18Z 2014-09-17T18:59:18Z Working Paper https://hdl.handle.net/10568/42444 en Open Access application/pdf International Livestock Research Institute Kidoido, M. and Child, K. 2014. Evaluating value chain interventions: A review of recent evidence. ILRI Discussion Paper 26. Nairobi, Kenya: ILRI. |
| spellingShingle | research value systems agriculture Kidoido, Michael M. Child, K. Evaluating value chain interventions: A review of recent evidence |
| title | Evaluating value chain interventions: A review of recent evidence |
| title_full | Evaluating value chain interventions: A review of recent evidence |
| title_fullStr | Evaluating value chain interventions: A review of recent evidence |
| title_full_unstemmed | Evaluating value chain interventions: A review of recent evidence |
| title_short | Evaluating value chain interventions: A review of recent evidence |
| title_sort | evaluating value chain interventions a review of recent evidence |
| topic | research value systems agriculture |
| url | https://hdl.handle.net/10568/42444 |
| work_keys_str_mv | AT kidoidomichaelm evaluatingvaluechaininterventionsareviewofrecentevidence AT childk evaluatingvaluechaininterventionsareviewofrecentevidence |