Abstract
Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyzes the impact of improved storage technologies on food and nutrition security and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for unobserved heterogeneity. The study finds that the use of improved storage technologies increases dietary diversity and reduces child malnutrition and self-reported food insecurity. We also find that non-user households would have experienced these benefits had they used improved storage technologies. Overall, the study suggests that improved storage technologies can enhance food and nutrition security, and could play a key role in alleviating the challenges of feeding a growing population.
| Original language | English |
|---|---|
| Pages (from-to) | 52-67 |
| Number of pages | 16 |
| Journal | Food Policy |
| Volume | 75 |
| DOIs | |
| Publication status | Published - Feb 2018 |
JEL classifications
- q18 - "Agricultural Policy; Food Policy"
- i38 - "Welfare and Poverty: Government Programs; Provision and Effects of Welfare Programs"
- o31 - Innovation and Invention: Processes and Incentives
Keywords
- Endogenous switching regression
- Ethiopia
- Food and nutrition security
- Postharvest loss
- Storage innovations
- Welfare
- developing world
- food security
- innovation
- malnutrition
- regression analysis
- state role
- MAXIMUM-LIKELIHOOD-ESTIMATION
- HOUSEHOLD
- TECHNOLOGY ADOPTION
- PROPENSITY SCORE
- SUB-SAHARAN AFRICA
- SWITCHING-REGRESSION-ANALYSIS
- CLIMATE-CHANGE
- IMPROVED MAIZE VARIETIES
- NUTRITIONAL-STATUS
- AGRICULTURAL TECHNOLOGIES