Food and nutrition security impacts of Moringa: Evidence from Southern Ethiopia

References

• Abate, G. T., Francesconi, G. N., & Getnet, K. (2014). impact of agricultural cooperatives on smallholders’technical efficiency: Empirical evidence from Ethiopia. Annals of Public and Cooperative Economics, 85(2), 257–16. doi:10.1111/apce.2014.85.issue-2
   Google Scholar
• Baba, M. D., Yakubu, G., Yelwa, J. M., & Haruna, L. (2015). Costs and returns of Moringa (Moringa oleifera) production in Zara local government area of Kebbi state, Nigeria. New York Science Journal, 8(1), 36–40.
   Google Scholar
• Berry, E. M., Dernini, S., Burlingame, B., Meybeck, A., & Conforti, P. (2015). Food security and sustainability: Can one exist without the other? Public Health Nutrition, 18(13), 2293–2302. doi:10.1017/S136898001500021X
   PubMed Web of Science ®Google Scholar
• Desalegn, G., Tadesse, W., & Yirgu, A. (2012). Forestry and forest products in Ethiopia: Technologies and issues. Addis Ababa, Ethiopia: Ethiopian Institute of Agricultural Research.
   Google Scholar
• Ebert, A. (2014). Potential of underutilized traditional vegetables and legume crops to contribute to food and nutritional security, income and more sustainable production systems. Sustainability, 6(1), 319–335. doi:10.3390/su6010319
   Web of Science ®Google Scholar
• EPHI. (2014, May 22–23). Paper presented at the Consultative Workshop on Moringa stenopetala to Maximize Its Potential Uses, Bishoftu, Ethiopia.
   Google Scholar
• Foidl, N., Makkar, H., & Becker, K. (2001). The potential of Moringa oleifera for agricultural and industrial uses. The Miracle Tree: the Multiple Attributes of Moringa, 45–76.
   Google Scholar
• Fuglie, L. J. (1999). The miracle tree: Moringa oleifera, natural nutrition for the tropics. Church World Service, Dakar, 68.
   Google Scholar
• Fuglie, L. J. (2005). The Moringa tree: A local solution to malnutrition. Church World Service in Senegal, 5,75–83.
   Google Scholar
• Gopalan, C., Sastri, B. R., & Balasubramanian, S. (1989). Nutritive value of Indian foods. National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, India Revised Ed.
   Google Scholar
• Greene, W. H. (2003). Econometric analysis (5th ed.). Upper Saddle River, New Jersey: Pearson.
   Google Scholar
• Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998). Characterizing selection bias using experimental data (No. w6699). National bureau of economic research.
   Google Scholar
• Humbo and Mirab Abaya Agriculture District Office. (2019). Annual Report. Ethiopia: Humbo and Mirab Abaya.
   Google Scholar
• Israel, G. D. (1992). Sampling the evidence of extension program impact. Gainesville, FL: University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS.
   Google Scholar
• Jahn, S. A. A. (1991). The traditional domestication of a multipurpose tree Moringa stenopetala (Bak. f.) Cuf. in the Ethiopian Rift Valley. Ambio, 20(6), 244–247.
   Web of Science ®Google Scholar
• Kothari, C. R. (2004). Research methodology: Methods and techniques. New Delhi : New Age International (P) Limited, Publishers.
   Google Scholar
• Lele, U., Masters, W. A., Kinabo, J., Meenakshi, J., Ramaswami, B., Tagwireyi, J., & Goswami, S. (2016). Measuring food and nutrition security: An independent technical assessment and user’s guide for existing indicators. Measuring Food and Nutrition Security Technical Working Group. Rome: Food Security Information Network. Available at http://www.fsincop.net/topics/fns-measurement.
   Google Scholar
• Li, M. (2013). Using the propensity score method to estimate causal effects: A review and practical guide. Organizational Research Methods, 16(2), 188–226. doi:10.1177/1094428112447816
   Web of Science ®Google Scholar
• Manca, A., & Austin, P. C. (2008). Using propensity score methods to analyse individual patient level cost effectiveness data from observational studies. The University of York: Health Economics and Data Group Working Paper, 8, 20.
   Google Scholar
• Melesse, A., Tiruneh, W., & Negesse, T. (2011). Effects of feeding Moringa stenopetala leaf meal on nutrient intake and growth performance of Rhode Island Red chicks under tropical climate. Tropical and Subtropical Agroecosystems, 14(2), 485–492.
   Google Scholar
• Pan, W., & Bai, H. (2015). Propensity score analysis: Concepts and issues. Propensity score analysis: Fundamentals and developments. New York, USA: The Guilford Press.
   Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. doi:10.1093/biomet/70.1.41
   Web of Science ®Google Scholar
• Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39(1), 33–38.
   Web of Science ®Google Scholar
• Rubin, D. B. (1974). Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology, 66(5), 688. doi:10.1037/h0037350
   Web of Science ®Google Scholar
• Seifu, E. (2015). Actual and potential applications of Moringa stenopetala, underutilized indigenous vegetable of Southern Ethiopia: A review. International Journal of Agricultural and Food Research, 3(4). doi:10.24102/ijafr.v3i4.381
   Google Scholar
• Smith, J. (2000). A critical survey of empirical methods for evaluating active labor market policies (No. 2000-6). Research Report.
   Google Scholar
• Smith, J. A., & Todd, P. E. (2005). Does matching overcome LaLonde’s critique of nonexperimental estimators? Journal of Econometrics, 125(1–2), 305–353. doi:10.1016/j.jeconom.2004.04.011
   Web of Science ®Google Scholar
• Thurber, M. D., & Fahey, J. W. (2009). Adoption of Moringa oleifera to combat under-nutrition viewed through the lens of the “Diffusion of Innovations” theory. Ecology of Food and Nutrition, 48(3), 212–225. doi:10.1080/03670240902794598
   PubMed Web of Science ®Google Scholar
• Vhurumuku, E. (2014). Food security indicators. Integrated Nutrition Food Security Program Emerging, response, 1–2.
   Google Scholar
• Wu, H., Ding, S., Pandey, S., & Tao, D. (2010). Assessing the impact of agricultural technology adoption on farmers’ well‐being using propensity‐score matching analysis in Rural China. Asian Economic Journal, 24(2), 141–160. doi:10.1111/j.1467-8381.2010.02033.x
   Web of Science ®Google Scholar
• Yisehak, K., Solomon, M., & Tadelle, M. (2011). Contribution of Moringa (Moringa stenopetala, Bac.), a highly nutritious vegetable tree, for food security in South Ethiopia: A review. Asian Journal of Applied Sciences, 4(5), 477–488. doi:10.3923/ajaps.2011.477.488
   Google Scholar
• Zhao, Z. (2003). Data issues of using matching methods to estimate treatment effects: An illustration with NSW data set. China Center for Economic Research, 1–37.
   Google Scholar