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Improved Agricultural Technology Adoption in Zambia: Are Women Farmers Being Left Behind?

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  • Namonje-Kapembwa, Thelma
  • Thelma, Antony

Abstract

The use of modern seed varieties and other improved technologies is essential for farmers to significantly increase their crop harvest and improve their livelihoods. All over Sub-Saharan Africa, agriculture productivity growth has remained very low over many decades irrespective of gender of the farmer. However, studies have shown that women farmers fare worse than the male counterparts in terms of adoption of improved technology and productivity. This gender gap in technology adoption curtails agricultural development because women in developing countries such as Zambia play a significant role in agriculture and food production.

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  • Namonje-Kapembwa, Thelma & Thelma, Antony, 2016. "Improved Agricultural Technology Adoption in Zambia: Are Women Farmers Being Left Behind?," Food Security Collaborative Working Papers 245916, Michigan State University, Department of Agricultural, Food, and Resource Economics.
  • Handle: RePEc:ags:midcwp:245916
    DOI: 10.22004/ag.econ.245916
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    1. Forsund, Finn R. & Lovell, C. A. Knox & Schmidt, Peter, 1980. "A survey of frontier production functions and of their relationship to efficiency measurement," Journal of Econometrics, Elsevier, vol. 13(1), pages 5-25, May.
    2. Cheryl R. Doss & Michael L. Morris, 2000. "How does gender affect the adoption of agricultural innovations?," Agricultural Economics, International Association of Agricultural Economists, vol. 25(1), pages 27-39, June.
    3. Marenya, Paswel P. & Barrett, Christopher B., 2007. "Household-level determinants of adoption of improved natural resources management practices among smallholder farmers in western Kenya," Food Policy, Elsevier, vol. 32(4), pages 515-536, August.
    4. Ragasa, Catherine, 2012. "Gender and Institutional Dimensions of Agricultural Technology Adoption: A Review of Literature and Synthesis of 35 Case Studies," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126747, International Association of Agricultural Economists.
    5. Chirwa Ephraim W., 2007. "Sources of Technical Efficiency among Smallholder Maize Farmers in Southern Malawi," Working Papers 172, African Economic Research Consortium, Research Department.
    6. Chapoto, Antony & Zulu-Mbata, Olipa & Hoffman, Barak D. & Kabaghe, Chance & Sitko, Nicholas & Kuteya, Auckland & Zulu, Ballard, 2015. "The Politics of Maize in Zambia: Who holds the Keys to Change the Status Quo?," Food Security Collaborative Working Papers 212905, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    7. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    8. Doss, Cheryl R., 2001. "Designing Agricultural Technology for African Women Farmers: Lessons from 25 Years of Experience," World Development, Elsevier, vol. 29(12), pages 2075-2092, December.
    9. Meinzen-Dick, Ruth S. & Brown, Lynn R. & Feldstein, Hilary Sims & Quisumbing, Agnes R., 1997. "Gender, property rights, and natural resources," World Development, Elsevier, vol. 25(8), pages 1303-1315, August.
    10. Jemimah Njuki & Susan Kaaria & Angeline Chamunorwa & Wanjiku Chiuri, 2011. "Linking Smallholder Farmers to Markets, Gender and Intra-Household Dynamics: Does the Choice of Commodity Matter?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 23(3), pages 426-443, July.
    11. Peterman, A., 2010. "A review of empirical evidence on gender differences in nonland agricultural inputs, technology, and services in developing countries," IWMI Working Papers H043605, International Water Management Institute.
    12. Peterman, Amber & Behrman, Julia & Quisumbing, Agnes, 2010. "A review of empirical evidence on gender differences in nonland agricultural inputs, technology, and services in developing countries," IFPRI discussion papers 975, International Food Policy Research Institute (IFPRI).
    13. Thapa, Sridhar, 2008. "Gender differentials in agricultural productivity: evidence from Nepalese household data," MPRA Paper 13722, University Library of Munich, Germany, revised Feb 2009.
    14. World Bank, 2010. "Gender and Governance in Rural Services : Insights from India, Ghana, and Ethiopia," World Bank Publications - Books, The World Bank Group, number 2410, December.
    15. Quisumbing, Agnes R., 1996. "Male-female differences in agricultural productivity: Methodological issues and empirical evidence," World Development, Elsevier, vol. 24(10), pages 1579-1595, October.
    16. Doss, Cheryl & Grown, Caren & Deere, Carmen Diana, 2011. "Gender and asset ownership : a guide to collecting individual-level data," Policy Research Working Paper Series 4704, The World Bank.
    17. Gregorio, Monica Di & Hagedorn, Konrad & Kirk, Michael & Korf, Benedikt & McCarthy, Nancy & Meinzen-Dick, Ruth & Swallow, Brent, 2008. "Property rights, collective Action, and poverty: The role of institutions for poverty reduction," CAPRi working papers 81, International Food Policy Research Institute (IFPRI).
    18. Lunduka, Rodney & Fisher, Monica & Snapp, Sieglinde, 2012. "Could farmer interest in a diversity of seed attributes explain adoption plateaus for modern maize varieties in Malawi?," Food Policy, Elsevier, vol. 37(5), pages 504-510.
    19. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    20. Udry, Christopher & Hoddinott, John & Alderman, Harold & Haddad, Lawrence, 1995. "Gender differentials in farm productivity: implications for household efficiency and agricultural policy," Food Policy, Elsevier, vol. 20(5), pages 407-423, October.
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