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Impact of Irrigation on Food and Nutrition Security Among Rice Farmers in Benin

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Abstract

Investing in irrigation development has been a priority of agricultural policy in Benin since 1960. This has resulted in the development of several irrigation schemes in the country. This study assesses the impact of irrigation on food and nutrition security among rice producers in Benin. To do this, an endogenous switching regression model was used to control for the selection bias and endogeneity issues related to the participation in irrigation. The results show positive impact of participating in irrigation on dietary diversity and food consumption score. This confirms the potential of irrigation in improving food and nutrition security among rice farmers in Benin. Overall, the results call for public policies to further promote the development of irrigation schemes in Benin.

Résumé

Investir dans le développement de l'irrigation a été une priorité de la politique agricole au Bénin depuis 1960. Cela a abouti au développement de plusieurs systèmes d'irrigation dans le pays. Cette étude évalue l'impact de l'irrigation sur la sécurité alimentaire et nutritionnelle des producteurs de riz au Bénin. Pour ce faire, un modèle de régression à commutation endogène a été utilisé pour contrôler le biais de sélection et les problèmes d'endogénéité liés à la participation à l'irrigation. Les résultats montrent un impact positif de la participation à l'irrigation sur la diversité alimentaire et le score de consommation alimentaire. Cela confirme le potentiel de l'irrigation dans l'amélioration de la sécurité alimentaire et nutritionnelle des agriculteurs de riz au Bénin. Dans l'ensemble, les résultats appellent à des politiques publiques pour promouvoir davantage le développement des systèmes d'irrigation au Bénin.

Resumen

Invertir en el desarrollo del riego ha sido una prioridad de la política agrícola en Benin desde 1960. Esto ha resultado en el desarrollo de varios sistemas de riego en el país. Este estudio evalúa el impacto del riego en la seguridad alimentaria y nutricional entre los productores de arroz en Benin. Para hacer esto, se utilizó un modelo de regresión de conmutación endógena para controlar el sesgo de selección y los problemas de endogeneidad relacionados con la participación en el riego. Los resultados muestran un impacto positivo de participar en el riego en la diversidad dietética y el puntaje de consumo de alimentos. Esto confirma el potencial del riego en mejorar la seguridad alimentaria y nutricional entre los agricultores de arroz en Benin. En general, los resultados piden políticas públicas para promover aún más el desarrollo de sistemas de riego en Benin.

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Fig. 1

Source adapted from Hussain and Hanjra (2004), Domenech (2015) and Nonvide (2018)

Fig. 2

Similar content being viewed by others

Data Availability

Data will be available upon reasonable request.

Notes

  1. Master Plan of Agricultural and Rural Development.

  2. Declaration Letter of the Rural Development Policy.

  3. See Jalan and Ravallion (2003) for more information.

  4. The data were collected under a sponsored Alliance for Green Revolution in Africa (AGRA) project in the Department of Agricultural Economics of the University of Ghana.

  5. More details about the survey design can be found in Nonvide et al. (2018).

  6. Following WFP (2008), the typical threshold is 0–21 for poor food consumption, 21.5–35 for borderline food consumption, and greater than 35 for acceptable food consumption.

  7. The treatment effect in this unit is interpreted as percentage difference. Actually, when the outcome variable is log-transformed, multiplying the TT by 100 is an approximation. According to Asfaw et al. (2012) the exact percent difference is given by 100 (eTT − 1), where e is exponential e and TT is the average treatment effect provided by the analysis of the log-transformed variable.

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Acknowledgements

I wish to express my deep appreciation to African Economic Research Consortium (AERC) for the financial support to carry out this research. I am also grateful to the resource persons and members of AERC-BMGF (Bill and Melinda Gates Foundation) workshop for various comments and suggestions that helped the evolution of this study from its inception to completion. I am indebted to the anonymous referees who reviewed the paper and provided comments and suggestions that helped in sha** and improving the overall quality of the paper. The findings made and opinions expressed in this paper are exclusively those of the author. The author is also solely responsible for content and any errors.

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    Gbêtondji Melaine Armel Nonvide

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Appendix: Formula for Estimating DD and FCS

Appendix: Formula for Estimating DD and FCS

See Tables 9 and 10.

$$DD=\sum food\, groups\, consumed,$$
(E1)
$$FCS=\sum {{a}_{i}X}_{i},$$
(E2)

where ai is the weight of each food group, and Xi the frequency of food consumption.

Table 9 Food groups and weights
Full size table
Table 10 First stage results of the IV model
Full size table

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Nonvide, G.M.A. Impact of Irrigation on Food and Nutrition Security Among Rice Farmers in Benin. Eur J Dev Res (2024). https://doi.org/10.1057/s41287-024-00638-9

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