Abstract
Adoption rates of leguminous crops remain low in sub-Saharan Africa despite their potential role in improving nutrition, soil health, and food security. In this study we explored Malawian farmers’ perceptions of various legume attributes and assessed how these perceptions affected allocation of land to legume crops using a logit link model. We found high regional variation in both consumption- and production-related preferences, but relatively consistent preferences across samples. While scientific understanding and farmer perceptions were aligned on some topics and for some legumes, there were discrepancies elsewhere, particularly in terms of soil fertility and nutrition. Understanding why these discrepancies exist and where there were potential biases are critical in explaining the extent of adoption. In many cases perceptions of legume attributes may be influenced by the cultural role of the crop in the household, particularly in terms of food security or market-orientation. The findings also suggest that researchers need to look beyond both the agronomic properties and farmers’ preferences to fully understand the extent of adoption. Socioeconomic factors, biases, and marketing concerns may also influence integration of legumes into maize-based cropping systems.
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Arimond, M., & Ruel, M. T. (2004). Dietary diversity is associated with child nutritional status: evidence from 11 demographic and health surveys. Journal of Nutrition, 134, 2579–2585.
Baum, C. F. (2008). Modeling proportions. Stata Journal, 8, 299–303.
Bellprata, O., Lott, F., Guliziac, C., Parkerd, H., Pampuche, L., Pintof, I., Ciavarellab, A., & Stott, P. (2015). Unusual past dry and wet rainy seasons over Southern Africa and South America from a climate perspective. Weather and Climate Extremes, Volume, 9(September 2015), 36–46. doi:10.1016/j.wace.2015.07.001.
Berti, B. R., & Jones, A. D. (2013). Biodiversity’s contribution to dietary diversity. In J. Fanzo, D. Hunter, T. Borelli, & F. Mattei (Eds.), Diversifying Food and Diets: Using Agricultural Biodiversity to Improve Nutrition and Health. Abingdon: Routledge.
Bezner Kerr, R. B., Snapp, S., Chirwa, M., Shumba, L., & Msachi, R. (2007). Participatory research on legume diversification with Malawian smallholder farers for improved nutrition and soil fertility. Experimental Agriculture, 43(04), 437–453.
Combris, P., Lecocq, S., & Visser, M. (2000). Estimation of a hedonic price equation for Burgundy wine. Applied Economics, 32(8), 961–967. doi:10.1080/000368400322011.
Court, A. T. (1939). Hedonic price indexes with automotive examples. In the Dynamics of Automobile Demand. New York: The General Motors Corporation.
Dalton, T. J. (2003). A hedonic model of rice traits: economic values from farmers in West Africa. In 25th International Conference of Agricultural Economists.
Elson, D. (1993). Gender-aware analysis and development economics. Journal of International Development, 5(2), 237–247. doi:10.1002/jid.3380050214.
Filmer, D., & Pritchett, L. (2001). Estimating wealth effects without expenditure data or tears: An application to educational enrollments in states of India. Demography, 38, 115–132.
Freeman, H. A., van der Merwe, P. J. A., Subrahmanyam, P., Chiyembekeza, A. J., & Kaguongo, W. (2002). Assessing adoption potential of new groundnut varieties in Malawi. Experimental Agriculture, 38(2), 211–221.
Griliches, Z. (1961). Hedonic price indexes for automobiles: An econometric analysis of quality change. In The Price Statistics of the Federal Goverment (pp. 173–196). NBER.
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.
Isaacs, K. B., Snapp, S. S., Chung, K., & Waldman, K. B. (2016). Assessing the value of diverse cropping systems under a new agricultural policy environment in Rwanda. Food Security, 8(3), 491–506 http://doi.org/10.1007/s12571-016-0582-x.
Lal, R. (1997). Long-term tillage and maize monoculture effects on a tropical Alfisol in western Nigeria. II. Soil chemical properties. Soil and Tillage Research, 42(3), 161–174. doi:10.1016/S0167-1987(97)00007-X.
Lambert, D. K., & Wilson, W. W. (2003). Valuing Varieties with Imperfect Output Quality Measurement. American Journal of Agricultural Economics, 85(1), 95–107 http://doi.org/10.1111/1467-8276.00105.
Lancaster, K. (1966). A new approach to consumer theory. Journal of Political Economy, 74(April), 132–157.
Lunduka, R., Fisher, M., & Snapp, S. (2012). Could farmer interest in a diversity of seed attributes explain adoption plateaus for modern maize varieties in Malawi? Food Policy, 37(5), 504–510. doi:10.1016/j.foodpol.2012.05.001.
Malawi ministry of Agriculture (2012). Malawi Guide to Agriculture 2012 edition. Lilongwe, Malawi: Malawi ministry of Agriculture.
McKenzie, D. (2005). Measuring inequality with asset indicators. Journal of Population Economics, 18, 229–260.
Melton, B. E., Huffman, W. E., Shogren, J. F., & Fox, J. A. (1996). Consumer preferences for fresh food items with multiple quality attributes: Evidence from an experimental auction of pork chops. American Journal of Agricultural Economics, 78(4), 916–923. doi:10.2307/1243848.
Messina, M. J. (1999). Legumes and soybeans: overview of their nutritional profiles and health effects. The American Journal of Clinical Nutrition, 70(3), 439–450.
Mhango, W. G. (2011). Nitrogen budgets in legume based cropping systems in Northern Malawi. USA: PhD thesis, Michigan State University. Michigan.
Mhango, W., Snapp, S. S., & Kanyama-Phiri., G. Y. (2013). Opportunities and constraints to legume diversification for sustainable cereal production on African smallholder farms. Renewable Agriculture and Food Systems, 28, 234–244.
Ofori, F., & Stern, W. R. (1987). Cereal-Legume Intercropping Systems. Advances in Agronomy, Volume, 41.
Orr, A. (2003). Integrated pest management for resource-poor African farmers: Is the emperor naked? World Development, 31(5), 831–845.
Orr, A., & Ritchie, J. M. (2004). Learning from failure: smallholder farming systems and IPM in Malawi. Agricultural systems, 79(1), 31–54.
Ortega, D. L., Waldman, K. B., Richardson, R. B., Clay, D. C., & Snapp, S. (2016). Sustainable Intensification and Farmer Preferences for Crop System Attributes: Evidence from Malawi’s Central and Southern Regions. World Development. doi:10.1016/j.worlddev.2016.06.007.
Oyejola, B. A., & Mead, R. (1982). Statistical Assessment of Different Ways of Calculating Land Equivalent Ratios (LER). Experimental Agriculture, 18(02), 125–138. doi:10.1017/S0014479700013600.
Papke, L. E., & Wooldridge, J. M. (1993). Econometric Methods for Fractional Response Variables with an Application to 401(k) Plan Participation Rates (Working Paper No. 147). National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/t0147.
Quaye, W., Jongerden, J., Essegbey, G. O., Frempong, G., & Ruivenkamp, G. (2014). The Social Construction of Cowpea Variety Development in Ghana: What is Missing? OIDA International Journal of Sustainable Development, 7(1), 77–90.
Rutstein, S. O., & Johnson, K. (2004). The DHS wealth index. Calverton, Maryland, USA: ORC Macro Retrieved from http://dhsprogram.com/pubs/pdf/CR6/CR6.pdf.
Smale, M., & Jayne, T. (2003). Maize in Eastern and Southern Africa: ‘Seeds’ of Success in Retrospect, International Food Policy Research Institute, Washington, DC. EPTD Discussion Paper No. 97.
Snapp, S. S., & Fisher, M. (2015). “Filling the maize basket” supports crop diversity and quality of household diet in Malawi. Food Security, 7(1), 83–96. doi:10.1007/s12571–014–0410-0.
Snapp, S. S., & Silim, S. N. (2002). Farmer preferences and legume intensification for low nutrient environments. Plant and Soil, 245, 181–192.
Snapp, S. S., Rohrbach, D. D., Simtowe, F., & Freeman, H. A. (2002). Sustainable soil management options for Malawi: can smallholder farmers grow more legumes? Agriculture. Ecosystems & Environment, 91(1–3), 159–174.
Snapp, S. S., Jones, R. B., Minja, E. M., Rusike, J., & Silim, S. N. (2003). Pigeon pea for Africa: a versatile vegetable and more. Hortscience, 38, 1073–1078.
Snapp, S. S., Blackie, M. J., Gilbert, R. A., Bezner-Kerr, R., & Kanyama-Phiri, G. Y. (2010). Biodiversity can support a greener revolution in Africa. Proceedings of the National Academy of Sciences, 107(48), 20840–20845.
Tano, K., Kamuanga, M., Faminow, M. D., & Swallow, B. (2003). Using conjoint analysis to estimate farmer’s preferences for cattle traits in West Africa. Ecological Economics, 45(3), 393–407 http://doi.org/10.1016/S0921-8009(03)00093-4.
Teuber, R., & Herrmann, R. (2012). Towards a differentiated modeling of origin effects in hedonic analysis: An application to auction prices of specialty coffee. Food Policy, 37(6), 732–740 http://doi.org/10.1016/j.foodpol.2012.08.001.
Waldman, K. B., & Kerr, J. M. (2015). Is Food and Drug Administration policy governing artisan cheese consistent with consumers’ preferences? Food Policy, 55, 71–80 http://doi.org/10.1016/j.foodpol.2015.06.004.
Acknowledgments
This research was supported by the Bill and Melinda Gates Foundation under grant OPP1076311 titled “Perennial Grains Crops for African Smallholder Farming Systems” and by the United States Agency for International Development (USAID) Feed the Future Integrating Nutrition in Value Chains program. The authors’ views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government.
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Waldman, K.B., Ortega, D.L., Richardson, R.B. et al. Preferences for legume attributes in maize-legume cropping systems in Malawi. Food Sec. 8, 1087–1099 (2016). https://doi.org/10.1007/s12571-016-0616-4
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DOI: https://doi.org/10.1007/s12571-016-0616-4