Abstract
This study evaluates the impact of adopting improved sesame varieties on farm household food security using the data collected in 2018 from potential sesame-growing districts in northwestern Ethiopia. Selectivity and endogeneity probleSms were addressed by endogenous switching regression and the propensity score matching approach. Thus, we estimated the influence of technology adoption on different food security indicators. Our findings indicate that the adoption of new sesame varieties significantly reduced the propensity of food insecurity through increased food consumption expenditures, improved nutritional food intake (consumption scores), and the probability of food security of a household. The finding supports that there is a positive relationship between cash crops and food security. Access to improved sesame seeds, a cash liquidity advantage, extension service efficiency, and farmers’ networking have a significant and positive effect on the adoption of improved sesame varieties. Hence, development policies should be established to motivate cash crop seed multipliers and research institutes to satisfy the seed demand, improve extension service efficiency, and support rural farmers’ primary cooperative. The study enriches the current debate on the subject and provides new empirical evidence of the synergy between cash crops and food security.
Résumé
Cette étude évalue l'impact de l'adoption de variétés de sésame améliorées sur la sécurité alimentaire des ménages agricoles à l'aide des données collectées en 2018 dans les districts qui pourraient se mettre à la culture de sésame, au nord-ouest de l'Éthiopie. Les problèmes de sélectivité et d'endogénéité ont été résolus par la régression de commutation endogène et par l'approche d'appariement par score de propension. Ainsi, nous avons pu estimer l'influence de l'adoption de la technologie sur différents indicateurs de sécurité alimentaire. Nos résultats indiquent que l'adoption de nouvelles variétés de sésame a considérablement réduit la propension à l'insécurité alimentaire en augmentant les dépenses de consommation alimentaire, en améliorant l'apport nutritionnel (les scores de consommation) et la probabilité de sécurité alimentaire d'un ménage. Les résultats confirment qu'il existe une relation positive entre les cultures commerciales et la sécurité alimentaire. L'accès à des graines de sésame améliorées, l’avantage d’une trésorerie en espèces, l'efficacité des services de vulgarisation agricole et la mise en réseau des agriculteurs ont un effet significatif et positif sur l'adoption de variétés de sésame améliorées. Par conséquent, des politiques de développement devraient être établies pour motiver les multiplicateurs de semences de cultures commerciales et les instituts de recherche à satisfaire la demande en semences, pour améliorer l'efficacité des services de vulgarisation agricole et pour soutenir la coopérative primaire des agriculteurs ruraux. L'étude vient enrichir le débat actuel sur ce sujet et apporte de nouvelles preuves empiriques de la synergie qui existe entre cultures commerciales et sécurité alimentaire.
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References
Abebe, G.K., J. Bijman, S. Pascucci, and O. Omta. 2013. Adoption of improved potato varieties in Ethiopia: The role of agricultural knowledge and innovation system and smallholder farmers’ quality assessment. Agricultural Systems 122: 22–32. https://doi.org/10.1016/j.agsy.2013.07.008.
Amadu, F.O., P.E. McNamara, and D.C. Miller. 2020. Yield effects of climate-smart agriculture aid investment in southern Malawi. Food Policy 92: 101869.
Anderman, T.L., R. Remans, S.A. Wood, K. DeRosa, and R.S. DeFries. 2014. Synergies and tradeoffs between cash crop production and food security: A case study in rural Ghana. Food Security 6 (4): 541–554.
Andersson, C., M. Bezabih, and A. Mannberg. 2017. The Ethiopian Commodity Exchange and spatial price dispersion. Food Policy 66: 1–11.
Asfaw, S., B. Shiferaw, F. Simtowe, and L. Lipper. 2012. Impact of modern agricultural technologies on smallholder welfare: Evidence from Tanzania and Ethiopia. Food Policy 37 (3): 283–295. https://doi.org/10.1016/j.foodpol.2012.02.013.
Ayana, N.G. 2015. Status of production and marketing of Ethiopian sesame seeds (Sesamum indicum L.): A review. Agricultural and Biological Science Journal 1: 217–223.
Aysheshm, K. 2007. Sesame market chain analysis: The case of Metema Woreda, North Gondar zone. Amhara national regional state: Haramaya University.
Bekele, A., Y. Besufekad, S. Adugna, and D. Yinur. 2017. Screening of selected accessions of Ethiopian sesame (Sesame indicum L.) for salt tolerance. Biocatalysis and Agricultural Biotechnology 9: 82–94. https://doi.org/10.1016/j.bcab.2016.11.009.
Bezu, S., G.T. Kassie, B. Shiferaw, and J. Ricker-Gilbert. 2014. Impact of improved maize adoption on Welfare of Farm Households in Malawi: A panel data analysis. World Development 59: 120–131. https://doi.org/10.1016/j.worlddev.2014.01.023.
Bravo-Ureta, B.E., W. Greene, and D. Solís. 2012. Technical efficiency analysis correcting for biases from observed and unobserved variables: An application to a natural resource management project. Empirical Economics 43 (1): 55–72. https://doi.org/10.1007/s00181-011-0491-y.
Cafiero, C., S. Viviani, and M. Nord. 2018. Food security measurement in a global context: The food insecurity experience scale. Measurement 116: 146–152. https://doi.org/10.1016/j.measurement.2017.10.065.
Carletto, C., A. Zezza, and R. Banerjee. 2013. Towards better measurement of household food security: Harmonizing indicators and the role of household surveys. Global Food Security 2 (1): 30–40.
Chilemba, J., and C. Ragasa. 2019. The impact on farmer incomes of a nationwide scaling up of the farmer business school program: Lessons and insights from Central Malawi. The European Journal of Development Research 32 (4): 906–938. https://doi.org/10.1057/s41287-019-00246-y.
Coromaldi, M., G. Pallante, and S. Savastano. 2015. Adoption of modern varieties, farmers’ welfare and crop biodiversity: Evidence from Uganda. Ecological Economics 119: 346–358. https://doi.org/10.1016/j.ecolecon.2015.09.004.
Cunguara, B., and I. Darnhofer. 2011. Assessing the impact of improved agricultural technologies on household income in rural Mozambique. Food Policy 36 (3): 378–390. https://doi.org/10.1016/j.foodpol.2011.03.002.
Di. Falco, S., M. Veronesi, and M. Yesuf. 2011. Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. American Journal of Agricultural Economics 93 (3): 829–846.
Dilley, L., K. Mausch, M. Crossland, and D. Harris. 2021. What’s the story on agriculture? Using narratives to understand farming households’ aspirations in Meru, Kenya. The European Journal of Development Research. https://doi.org/10.1057/s41287-021-00361-9.
Emmanuel, D., E. Owusu-Sekyere, V. Owusu, and H. Jordaan. 2016. Impact of agricultural extension service on adoption of chemical fertilizer: Implications for rice productivity and development in Ghana. NJAS - Wageningen Journal of Life Sciences 79: 41–49. https://doi.org/10.1016/j.njas.2016.10.002.
Friedman, J., K. Beegle, J. De. Weerdt, and J. Gibson. 2017. Decomposing response error in food consumption measurement: Implications for survey design from a randomized survey experiment in Tanzania. Food Policy 72: 94–111. https://doi.org/10.1016/j.foodpol.2017.08.016.
Gibson, R.S. 2005. Principles of nutritional assessment. Oxford: Oxford University Press.
Govereh, J., and T.S. Jayne. 2003. Cash cropping and food crop productivity: Synergies or trade-offs? Agricultural Economics 28 (1): 39–50.
Hausman, J.A. 1978. Specification tests in econometrics. Econometrica: Journal of the Econometric Society 46: 1251–1271.
Heckman, J.J. 1977. Sample selection bias as a specification error (with an application to the estimation of labor supply functions). Cambridge, MA: National Bureau of Economic Research.
Hess, D.E., and H. Dodo. 2004. Potential for sesame to contribute to integrated control of Striga hermonthica in the West African Sahel. Crop Protection 23 (6): 515–522. https://doi.org/10.1016/j.cropro.2003.10.008.
Kassie, M., B. Shiferaw, and G. Muricho. 2011. Agricultural technology, crop income, and poverty alleviation in Uganda. World Development 39 (10): 1784–1795.
Kelemu, K., T. Haregewoin, and F. Daniel. 2016. Impact of radio on technical efficiency of farmers: The case of wheat producing farmers in Ethiopia. Ethiopia Journal of Applied Science Technology 7 (1): 1–15.
Kuma Worako, T. 2015. Analysis of price incentives for sesame seed in Ethiopia for the time period 2005–2012. Rome: FAO.
Landmann, D., C.-J. Lagerkvist, and V. Otter. 2020. Determinants of small-scale farmers’ intention to use smartphones for generating agricultural knowledge in developing countries: Evidence from rural India. The European Journal of Development Research. https://doi.org/10.1057/s41287-020-00284-x.
Langyintuo, A.S., and C. Mungoma. 2008. The effect of household wealth on the adoption of improved maize varieties in Zambia. Food Policy 33 (6): 550–559. https://doi.org/10.1016/j.foodpol.2008.04.002.
Lee, L.-F. 1982. Some approaches to the correction of selectivity bias. The Review of Economic Studies 49 (3): 355–372.
Mabiso, A., B. Cunguara, and R. Benfica. 2014. Food (In)security and its drivers: Insights from trends and opportunities in rural Mozambique. Food Security 6 (5): 649–670. https://doi.org/10.1007/s12571-014-0381-1.
Maddala, G.S. 1986. Limited-dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.
Magrini, E., and M. Vigani. 2016. Technology adoption and the multiple dimensions of food security: The case of maize in Tanzania. Food Security 8 (4): 707–726.
Mariano, M.J., R. Villano, and E. Fleming. 2012. Factors influencing farmers’ adoption of modern rice technologies and good management practices in the Philippines. Agricultural Systems 110: 41–53. https://doi.org/10.1016/j.agsy.2012.03.010.
Mathenge, M.K., M. Smale, and J. Olwande. 2014. The impacts of hybrid maize seed on the welfare of farming households in Kenya. Food Policy 44: 262–271.
Maxwell, D., B. Vaitla, and J. Coates. 2014. How do indicators of household food insecurity measure up? An empirical comparison from Ethiopia. Food Policy 47: 107–116. https://doi.org/10.1016/j.foodpol.2014.04.003.
Maxwell, S., and A. Fernando. 1989. Cash crops in developing countries: The issues, the facts, the policies. World Development 17 (11): 1677–1708.
Mekonnen, D.A., and N. Gerber. 2017. Aspirations and food security in rural Ethiopia. Food Security 9 (2): 371–385.
Mendola, M. 2007. Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy 32 (3): 372–393. https://doi.org/10.1016/j.foodpol.2006.07.003.
Murray, A.G., B.F. Mills, and G. Kostandini. 2016. Do improved groundnut seeds make African farmers more food secure? Evidence from Uganda. Journal of Agricultural and Applied Economics 48 (3): 219–240.
Mwalupaso, G.E., S. Wang, A.M. Eshetie, and X. Tian. 2020. Ameliorating food and nutrition security in farm households: Does informatization matter? Sustainability 12 (2): 522.
Nkomoki, W., M. Bavorová, and J. Banout. 2018. Adoption of sustainable agricultural practices and food security threats: Effects of land tenure in Zambia. Land Use Policy 78: 532–538.
Noltze, M., S. Schwarze, and M. Qaim. 2013. Impacts of natural resource management technologies on agricultural yield and household income: The system of rice intensification in Timor Leste. Ecological Economics 85: 59–68.
Pérez-Escamilla, R., M.B. Gubert, B. Rogers, and A. Hromi-Fiedler. 2017. Food security measurement and governance: Assessment of the usefulness of diverse food insecurity indicators for policy makers. Global Food Security 14: 96–104. https://doi.org/10.1016/j.gfs.2017.06.003.
Rosenbaum, P.R., and D.B. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. Biometrika 70 (1): 41–55. https://doi.org/10.1093/biomet/70.1.41.
Sall, S., D. Norman, and A. Featherstone. 2000. Quantitative assessment of improved rice variety adoption: The farmer’s perspective☆. Agricultural Systems 66 (2): 129–144.
Sekabira, H., and M. Qaim. 2017. Can mobile phones improve gender equality and nutrition? Panel data evidence from farm households in Uganda. Food Policy 73: 95–103. https://doi.org/10.1016/j.foodpol.2017.10.004.
Shiferaw, B., M. Kassie, M. Jaleta, and C. Yirga. 2014. Adoption of improved wheat varieties and impacts on household food security in Ethiopia. Food Policy 44: 272–284. https://doi.org/10.1016/j.foodpol.2013.09.012.
Shiferaw, B., T. Kebede, M. Kassie, and M. Fisher. 2015. Market imperfections, access to information and technology adoption in Uganda: Challenges of overcoming multiple constraints. Agricultural Economics 46 (4): 475–488. https://doi.org/10.1111/agec.12175.
Smith, L.C., O. Dupriez, and N. Troubat. 2014. Assessment of the reliability and relevance of the food data collected in national household consumption and expenditure surveys. International Household Survey Network.
Twine, E.E., E.J. Rao, I. Baltenweck, and A.O. Omore. 2019. Are technology adoption and collective action important in accessing credit? Evidence from milk producers in Tanzania. The European Journal of Development Research 31 (3): 388–412.
Verkaart, S., B.G. Munyua, K. Mausch, and J.D. Michler. 2017. Welfare impacts of improved chickpea adoption: A pathway for rural development in Ethiopia? Food Policy 66: 50–61. https://doi.org/10.1016/j.foodpol.2016.11.007.
Walsh, S., T. Remington, S. Kugbei, and C. Ojiewo. 2015. Review of community seed production practices in Africa. Part 1: Implementation strategies and models.
Wekesa, B.M., O.I. Ayuya, and J.K. Lagat. 2018. Effect of climate-smart agricultural practices on household food security in smallholder production systems: Micro-level evidence from Kenya. Agriculture & Food Security 7 (1): 80.
Zezza, A., C. Carletto, J.L. Fiedler, P. Gennari, and D. Jolliffe. 2017. Food counts. Measuring food consumption and expenditures in household consumption and expenditure surveys (HCES). Introduction to the special issue. Food Policy 72: 1–6. https://doi.org/10.1016/j.foodpol.2017.08.007.
Funding
Funding: The authors acknowledge the research fund sponsorship by “Jiangsu Social Science Association Project, grant number 20SCB-05”, “International Cooperation Project of Nanjing Agricultural University, grant number 2018-EU-18”, “the Fundamental Research Funds for the Central Universities, grant number KYYJ202010 and SKYC202002”, “the Projects of institute local cooperation of Chinese Academy of Engineering, grant number JS2020ZT12” and “Priority Academic Program Development of Jiangsu Higher Education Institutions Project (PAPD)”.
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Eshetie, A.M., Matafwali, E., Mwalupaso, G.E. et al. Nexus of Cash Crop Production Using Improved Varieties and Household Food Security. Eur J Dev Res 34, 1803–1830 (2022). https://doi.org/10.1057/s41287-021-00420-1
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DOI: https://doi.org/10.1057/s41287-021-00420-1