Impacts of improved agricultural technologies on food security and child nutrition in rural Ethiopia

References

• Addis, Y., & Sani, S. (2021). Impact of adoption of improved agricultural production technologies on cereal crops productivity and farmers’ welfare in Central Ethiopia. Indian Journal of Science and Technology, 14(44), 3280–27. https://doi.org/10.17485/IJST/v14i44.1306
   Google Scholar
• Amare, M., Asfaw, S., & Shiferaw, B. (2012). Welfare impacts of maize–pigeon pea intensification in Tanzania. Agricultural Economics, 43(1), 27–43. https://doi.org/10.1111/j.1574-0862.2011.00563.x
   Web of Science ®Google Scholar
• Arellano, M. (2003). Panel data econometrics. Oxford university press.
   Google Scholar
• Arslan, A., Belotti, F., & Lipper, L. (2017). Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania. Food Policy, 69, 68–81. https://doi.org/10.1016/j.foodpol.2017.03.005
   Web of Science ®Google Scholar
• Asfaw, S., Kassie, M., Simtowe, F., & Leslie, L. (2012). Poverty reduction effects of agricultural technology: A micro-evidence from Tanzania. Journal of Development Studies, 48(9), 1288–1305. https://doi.org/10.1080/00220388.2012.671475
   Web of Science ®Google Scholar
• Asfaw, S., Shiferaw, B., Simtowe, F., & Lipper, L. (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
   Web of Science ®Google Scholar
• Aweke, C. S., Hassen, J. Y., Wordofa, M. G., Moges, D. K., Endris, G. S., & Rorisa, D. T. (2021). Impact assessment of agricultural technologies on household food consumption and dietary diversity in eastern Ethiopia. Journal of Agriculture and Food Research, 4, 100141. https://doi.org/10.1016/j.jafr.2021.100141
   Google Scholar
• Ayenew, W., Lakew, T., & Kristos, E. H. (2020). Agricultural technology adoption and its impact on smallholder farmers welfare in Ethiopia. African Journal of Agricultural Research, 15(3), 431–445. https://doi.org/10.5897/AJAR2019.14302
   Google Scholar
• Becker, S. O. (2009). Methods to estimate causal effects theory and applications. U Stirling, Ifo, CESifo and IZA last update: 21 August 2009. Stirling Management School.
   Google Scholar
• Becker, S. O., & Caliendo, M. (2007). Sensitivity analysis for average treatment effects. The Stata Journal, 7(1), 71–83. https://doi.org/10.1177/1536867X0700700104
   Web of Science ®Google Scholar
• Bezu, S., Kassie, G. T., Shiferaw, B., & Ricker-Gilbert, J. (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
   Web of Science ®Google Scholar
• Biru, W. D., Zeller, M., & Loos, T. K. (2020). The impact of agricultural technologies on poverty and vulnerability of smallholders in Ethiopia: A panel data analysis. Social Indicators Research, 147(2), 517–544. https://doi.org/10.1007/s11205-019-02166-0
   Web of Science ®Google Scholar
• Cameron, A. C., & Trivedi, P. K. (2005). Microeconometrics: Methods and applications. Cambridge University Press.
   Google Scholar
• DiPrete, T. A., & Gangl, M. (2004). 7. Assessing bias in the estimation of causal effects: Rosenbaum bounds on matching estimators and instrumental variables estimation with imperfect instruments. Sociological Methodology, 34(1), 271–310. https://doi.org/10.1111/j.0081-1750.2004.00154.x
   Web of Science ®Google Scholar
• Duvendack, M., & Palmer-Jones, R. (2012). High noon for microfinance impact evaluations: Re-investigating the evidence from Bangladesh. The Journal of Development Studies, 48(12), 1864–1880. https://doi.org/10.1080/00220388.2011.646989
   Web of Science ®Google Scholar
• FAO. (2015a). Climate change and global food systems: Global assessments and implications for food security and trade. FAO.
   Google Scholar
• FAO. (2015b). The State of Food Security in the World. http://www.fao.org/3/a-i4646e.pdf.
   Google Scholar
• FAO. (2017) . Nutrition-sensitive agriculture and food systems in practice: Options for intervention. Rome.
   Google Scholar
• Farsund, A. A., Daugbjerg, C., & Langhelle, O. (2015). Food security and trade: Reconciling discourses in the food and Agriculture Organization and the World trade Organization. Food Security, 7(2), 383–391. https://doi.org/10.1007/s12571-015-0428-y
   Web of Science ®Google Scholar
• Feder, G., Just, R. E., & Zilberman, D. (1985). Adoption of agricultural innovations in developing countries: A survey. Economic Development and Cultural Change, 33(2), 255–298. https://doi.org/10.1086/451461
   Web of Science ®Google Scholar
• Fernandez, A., Noriega, E., & Thompson, A. (2013). Inactivation of Salmonella enterica serovar typhimurium on fresh produce by cold atmospheric gas plasma technology. Food Microbiology, 33(1), 24–29. https://doi.org/10.1016/j.fm.2012.08.007
   PubMed Web of Science ®Google Scholar
• Gillespie, S., & van den Bold, M. (2017). Agriculture, food systems, and nutrition: Meeting the challenge. Global Challenges, 1(3). https://doi.org/10.1002/gch2.201600002
   Web of Science ®Google Scholar
• Greene, W. H. (2000). Econometric analysis (4th ed.). NJ: Prentice Hall.
   Google Scholar
• Greene, W. H. (2012). Econometric analysis (7th ed.). Stern School of Business.
   Google Scholar
• Habtewold, T. M. (2018). Adoption and impacts of improved agricultural technologies on rural poverty. In A. Heshmati & H. Yoon (Eds.), Economic growth and development in Ethiopia. Perspectives on development in the Middle East and North Africa (MENA) region (pp. 13–35). Springer.
   Google Scholar
• Habtewold, T. M. (2020). Impacts of Improved Agricultural Technologies Adoption on Multidimensional Welfare Indicators in Rural Ethiopia [ Doctoral dissertation]. Addis Ababa University.
   Google Scholar
• Habtewold, T. M. (2021). Impact of climate-smart agricultural technology on multidimensional poverty in rural Ethiopia. Journal of Integrative Agriculture, 20(4), 1021–1041. https://doi.org/10.1016/S2095-3119(21)63637-7
   Web of Science ®Google Scholar
• Hagos, F., Jayasinghe, G., Awulachew, S. B., Loulseged, M., & Yilma, A. D. (2012). Agricultural water management and poverty in Ethiopia. Agricultural Economics, 43(s1), 99–111. https://doi.org/10.1111/j.1574-0862.2012.00623.x
   Google Scholar
• Hailu, M., Tolossa, D., Girma, A., & Kassa, B. (2021). The impact of improved agricultural technologies on household food security of smallholders in Central Ethiopia: An endogenous switching estimation. World Food Policy, 7(2), 111–127. https://doi.org/10.1002/wfp2.12029
   Google Scholar
• Heckman, J. (1976). The common structure of statistical models of truncation, sample selection and limited dependent variables and a simple estimator for such models. Annals of Economic and Social Measurement, 5, 475–492.
   Google Scholar
• Heckman, J. (1978). Dummy endogenous variables in a simultaneous equation system. Econometrica, 46(4), 931–959. https://doi.org/10.2307/1909757
   Web of Science ®Google Scholar
• Heckman, J., Ichimura, H., Smith, J. A., & Todd, P. E. (1998). Characterizing selection bias using experimental data. Econometrica, 66(5), 1017–1098. https://doi.org/10.2307/2999630
   Web of Science ®Google Scholar
• Heckman, J., Ichimura, H., & Todd, P. E. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programme. The Review of Economic Studies, 64(4), 605–654. https://doi.org/10.2307/2971733
   Web of Science ®Google Scholar
• Hillier, D., Pindado, J., De Queiroz, V., & De La Torre, C. (2011). The impact of country-level corporate governance on research and development. Journal of International Business Studies, 42(1), 76–98. https://doi.org/10.1057/jibs.2010.46
   Web of Science ®Google Scholar
• Hundie, B., & Admassie, A. (2016). Potential impacts of yield-Increasing Crop technologies on productivity and poverty in two districts of Ethiopia. In F. Gatzweiler & J. von Braun (Eds.), Technological and institutional innovations for marginalized smallholders in agricultural development (pp. 397–421). Springer International Publishing.
   Google Scholar
• Issahaku, G., & Abdulai, A. (2020). Can farm households improve food and nutrition security through adoption of climate‐smart practices? Empirical evidence from northern Ghana. Applied Economic Perspectives and Policy, 42(3), 559–579. https://doi.org/10.1093/aepp/ppz002
   Web of Science ®Google Scholar
• Jaleta, M., Kassie, M., Marenya, P., Yirga, C., & Erenstein, O. (2018). Impact of improved maize adoption on household food security of maize producing smallholder farmers in Ethiopia. Food Security, 10(1), 81–93. https://doi.org/10.1007/s12571-017-0759-y
   Web of Science ®Google Scholar
• Jara-Rojas, R., Bravo-Ureta, B. E., & Díaz, J. (2012). Adoption of water conservation practices: A socioeconomic analysis of small-scale farmers in Central Chile. Agricultural Systems, 110, 54–62. https://doi.org/10.1016/j.agsy.2012.03.008
   Web of Science ®Google Scholar
• Kabunga, N. S., Ghosh, S., Webb, P., & Loor, J. J. (2017). Does ownership of improved dairy cow breeds improve child nutrition? A pathway analysis for Uganda. PloS One, 12(11), e0187816. https://doi.org/10.1371/journal.pone.0187816
   PubMed Web of Science ®Google Scholar
• Kangmennaang, J., Kerr, R. B., Lupafya, E., Dakishoni, L., Katundu, M., & Luginaah, I. (2017). Impact of a participatory agroecological development project on household wealth and food security in Malawi. Food Security, 9(3), 561–576. https://doi.org/10.1007/s12571-017-0669-z
   Web of Science ®Google Scholar
• Kassie, M., Marenya, P., Tessema, Y., Jaleta, M., Zeng, D., Erenstein, O., & Rahut, D. (2018). Measuring farm and market level economic impacts of improved maize production technologies in Ethiopia: Evidence from panel data. Journal of Agricultural Economics, 69(1), 76–95. https://doi.org/10.1111/1477-9552.12221
   Web of Science ®Google Scholar
• Kassie, M., Teklewold, H., Marenya, P., Jaleta, M., & Erenstein, O. (2015). Production risks and food security under alternative technology choices in Malawi: Application of a multinomial endogenous switching regression. Journal of Agricultural Economics, 66(3), 640–659. https://doi.org/10.1111/1477-9552.12099
   Web of Science ®Google Scholar
• Khonje, M., Manda, J., Alene, A. D., & Kassie, M. (2015). Analysis of adoption and impacts of improved maize varieties in eastern Zambia. World Development, 66, 695–706. https://doi.org/10.1016/j.worlddev.2014.09.008
   Web of Science ®Google Scholar
• Khonje, M. G., Manda, J., Mkandawire, P., Tufa, A. H., & Alene, A. D. (2018). Adoption and welfare impacts of multiple agricultural technologies: Evidence from eastern Zambia. Agricultural Economics, 49(5), 599–609. https://doi.org/10.1111/agec.12445
   Web of Science ®Google Scholar
• Maddala, G. S. (1983). Limited-dependent and qualitative variables in econometrics. Cambridge University Press.
   Google Scholar
• Magrini, E., & Vigani, M. (2016). Technology adoption and the multiple dimensions of food security: The case of maize in Tanzania. Food Security, 8(4), 707–726. https://doi.org/10.1007/s12571-016-0593-7
   Web of Science ®Google Scholar
• Manda, J., Alene, A. D., Gardebroek, C., Kassie, M., & Tembo, G. (2016). Adoption and impacts of sustainable agricultural practices on maize yields and incomes: Evidence from rural Zambia. Journal of Agricultural Economics, 67(1), 130–153. https://doi.org/10.1111/1477-9552.12127
   Web of Science ®Google Scholar
• Manda, J., Gardebroek, C., Kuntashula, E., & Alene, A. D. (2018). Impact of improved maize varieties on food security in Eastern Zambia: A doubly robust analysis. Review of Development Economics, 22(4), 1709–1728. https://doi.org/10.1111/rode.12516
   Web of Science ®Google Scholar
• Mantel, N., & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the National Cancer Institute, 22(4), 719–748.
   PubMed Web of Science ®Google Scholar
• Mulugeta, T., & Hundie, B. (2012). Impacts of adoption of improved wheat technologies on households’ food consumption in Southeastern Ethiopia. Selected Poster prepared for presentation at the International Association of Agricultural Economists (IAAE) Triennial Conference, Foz do Iguaçu, Brazil, August 18-24, 2012.
   Google Scholar
• Muzari, W., Gatsi, W., & Muvhunzi, S. (2012). The impacts of technology adoption on smallholder agricultural productivity in sub-Saharan Africa. Journal of Sustainable Development, 5(8), 69–77. https://doi.org/10.5539/jsd.v5n8p69
   Google Scholar
• Niveditha, A., Pandiselvam, R., Prasath, V. A., Singh, S. K., Gul, K., & Kothakota, A. (2021). Application of cold plasma and ozone technology for decontamination of Escherichia coli in foods-a review. Food Control, 130, 108338. https://doi.org/10.1016/j.foodcont.2021.108338
   Web of Science ®Google Scholar
• Odame, H., Alemu, D., Kimenye, L., Kabutha, C., & Oduori, L. H. (2013). Why the low adoption of agricultural technologies in Eastern and Central Africa? Association for Strengthening Agricultural Research in Eastern and Central Africa. https://www.asareca.org/sites/default/files/publications/LOW%20ADOPTION%20(pdf%20for%20web).pdf.
   Google Scholar
• Ogada, M. J., Mwabu, G., & Muchai, D. (2014). Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions. Agricultural and Food Economics, 2(1), 1–18. https://doi.org/10.1186/s40100-014-0012-3
   Google Scholar
• Olagunju, K. O., Ogunniyi, A. I., Awotide, B. A., Adenuga, A. H., & Ashagidigbi, W. M. (2020). Evaluating the distributional impacts of drought-tolerant maize varieties on productivity and welfare outcomes: An instrumental variable quantile treatment effects approach. Climate and Development, 12(10), 865–875. https://doi.org/10.1080/17565529.2019.1701401
   Web of Science ®Google Scholar
• Pan, Y., Smith, S. C., & Sulaiman, M. (2018). Agricultural extension and technology adoption for food security: Evidence from Uganda. American Journal of Agricultural Economics, 100(4), 1012–1031. https://doi.org/10.1093/ajae/aay012
   Web of Science ®Google Scholar
• Prabha, V., Barma, R. D., Singh, R., & Madan, A. (2015). Ozone technology in food processing: A review. Trends in Biosciences, 8(16), 4031–4047.
   Google Scholar
• Rosenbaum, P. R. (2002). Observational studies (2nd ed.). Springer.
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrica, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Schipanski, M. E., MacDonald, G. K., Rosenzweig, S., Chappell, M. J., Bennett, E. M., Kerr, R. B., Blesh, J., Crews, T., Drinkwater, L., Lundgren, J. G., & Schnarr, C. (2016). Realizing resilient food systems. BioScience, 66(7), 600–610. https://doi.org/10.1093/biosci/biw052
   Web of Science ®Google Scholar
• Shiferaw, B., Kassie, M., Jaleta, M., & Yirga, C. (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
   Web of Science ®Google Scholar
• Sinyolo, S. (2020). Technology adoption and household food security among rural households in South Africa: The role of improved maize varieties. Technology in Society, 60, 101214. https://doi.org/10.1016/j.techsoc.2019.101214
   Web of Science ®Google Scholar
• Sissoko, P., Synnevag, G., & Aune, J. B. (2022). Effects of low-cost agricultural technology package on income, cereal surplus production, household expenditure, and food security in the drylands of Mali. AIMS Agriculture and Food, 7(1), 22–36. https://doi.org/10.3934/agrfood.2022002
   Web of Science ®Google Scholar
• Smale, M., & Mason, N. (2014). Hybrid seed and the economic well-being of smallholder maize farmers in Zambia. The Journal of Development Studies, 50(5), 680–695. https://doi.org/10.1080/00220388.2014.887690
   Web of Science ®Google Scholar
• Swanson, B. E., & Rajalahti, R. (2010). Strengthening agricultural extension and advisory systems: Procedures for assessing, transforming, and evaluating extension systems, the World Bank Agriculture and rural Development discussion paper 45,
   Google Scholar
• Teklewold, H., Gebrehiwot, T., & Bezabih, M. (2019). Climate smart agricultural practices and gender differentiated nutrition outcome: An empirical evidence from Ethiopia. World Development, 122, 38–53. https://doi.org/10.1016/j.worlddev.2019.05.010
   Web of Science ®Google Scholar
• Tesfaye, W., & Tirivayi, N. (2018). The impacts of postharvest storage innovations on food security and welfare in Ethiopia. Food Policy, 75, 52–67. https://doi.org/10.1016/j.foodpol.2018.01.004
   Web of Science ®Google Scholar
• Tigabu, D. G., & Gebeyehu, M. F. (2018). Agricultural extension service and technology adoption for food and nutrition security: Evidence from Ethiopia. Forum for Agricultural Research in Africa (FARA) Research Report, 3(4), 30.
   Google Scholar
• Ucar, Y., Ceylan, Z., Durmus, M., Tomar, O., & Cetinkaya, T. (2021). Application of cold plasma technology in the food industry and its combination with other emerging technologies. Trends in Food Science & Technology, 114, 355–371. https://doi.org/10.1016/j.tifs.2021.06.004
   Web of Science ®Google Scholar
• Umair, M., Jabbar, S., Ayub, Z., Muhammad Aadil, R., Abid, M., Zhang, J., & Liqing, Z. (2022). Recent advances in plasma technology: Influence of atmospheric cold plasma on spore inactivation. Food Reviews International, 38(sup1), 789–811. https://doi.org/10.1080/87559129.2021.1888972
   Google Scholar
• Utuk, I. O., & Daniel, E. E. (2015). Land degradation: A threat to food security: A global assessment. Journal of Environment & Earth Science, 5(8), 13–21.
   Google Scholar
• Verkaart, S., Munyua, B. G., Mausch, K., & Michler, J. D. (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
   PubMed Web of Science ®Google Scholar
• Verner, D., Roos, N., Halloran, A., Surabian, G., Ashwill, M., Vellani, S., & Konishi, Y. (2021). Insect and hydroponic farming in Africa: The new circular food economy. World Bank Publications.
   Google Scholar
• Wekesa, B. M., Ayuya, O. I., & Lagat, J. K. (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), 1–14. https://doi.org/10.1186/s40066-018-0230-0
   Google Scholar
• Willy, D. K., Zhunusova, E., & Holm-Müller, K. (2014). Estimating the joint effect of multiple soil conservation practices: A case study of smallholder farmers in the Lake Naivasha basin, Kenya. Land Use Policy, 39, 177–187. https://doi.org/10.1016/j.landusepol.2014.02.017
   Web of Science ®Google Scholar
• Wooldridge, J. M. (2010). Econometric analysis of cross Section and panel data (2nd ed.). MIT Press.
   Google Scholar
• Wordofa, M. G., Sassi, M., & Yildiz, F. (2020). Impact of agricultural interventions on food and nutrition security in Ethiopia: Uncovering pathways linking agriculture to improved nutrition. Cogent Food & Agriculture, 6(1), 1724386. https://doi.org/10.1080/23311932.2020.1724386
   Web of Science ®Google Scholar
• The World Bank. (2015). World Development indicators.
   Google Scholar
• The World Food Programme. (2023). A global food crisis. 2023: Another year of extreme jeopardy for those struggling to feed their families. https://www.wfp.org/global-hunger-crisis
   Google Scholar
• World Health Organization. (2020). The state of food security and nutrition in the world 2020: Transforming food systems for affordable healthy diets (Vol. 2020). Food & Agriculture Organization.
   Google Scholar
• Wossen, T., Alene, A., Abdoulaye, T., Feleke, S., Rabbi, I. Y., & Manyong, V. (2019). Poverty reduction effects of agricultural technology adoption: The case of improved cassava varieties in Nigeria. Journal of Agricultural Economics, 70(2), 392–407. https://doi.org/10.1111/1477-9552.12296
   Web of Science ®Google Scholar
• Wudil, A. H., Usman, M., Rosak-Szyrocka, J., Pilař, L., & Boye, M. (2022). Reversing years for global food security: A review of the food security situation in sub-Saharan Africa (SSA). International Journal of Environmental Research and Public Health, 19(22), 14836. https://doi.org/10.3390/ijerph192214836
   PubMed Web of Science ®Google Scholar
• Yilma, T., Berg, E., & Berger, T. (2015). Empowering African women through agricultural technologies: The case of irrigation technology in northern Ghana. Food System Dynamics, 6(2), 64–80.
   Google Scholar
• Zegeye, M. B., Fikire, A. H., & Assefa, A. B. (2022). Impact of agricultural technology adoption on food consumption expenditure: Evidence from rural Amhara Region, Ethiopia. Cogent Economics & Finance, 10(1), 2012988. https://doi.org/10.1080/23322039.2021.2012988
   Web of Science ®Google Scholar
• Zeng, D., Alwang, J., Norton, G. W., Shiferaw, B., Jaleta, M., & Yirga, C. (2017). Agricultural technology adoption and child nutrition enhancement: Improved maize varieties in rural Ethiopia. Agricultural Economics, 48(5), 573–586. https://doi.org/10.1111/agec.12358
   Web of Science ®Google Scholar