The unequal efficiency gap: Key factors influencing women farmer’s efficiency in Uganda

References

• Addison, M., Ohene-Yankyera, K., & Fredua-Antoh, F. (2016). ’Gender role, input use and technical efficiency among rice farmers at ahafo ano north district in Ashanti Region of Ghana’. Journal of Food Security, 4(2), 27–35.
   Google Scholar
• Aguilar, A., Carranza, E., Goldstein, M., Kilic, T., & Oseni, G. (2015). Decomposition of gender differentials in agricultural productivity in Ethiopia. Agricultural Economics, 46, 311–334. doi:10.1111/agec.2015.46.issue-3
   Web of Science ®Google Scholar
• Ali, D., Bowen, D., Deininger, K., & Duponchel, M. (2016). Investigating the gender gap in agricultural productivity: Evidence from Uganda. World Development, 87, 152–170. doi:10.1016/j.worlddev.2016.06.006
   Web of Science ®Google Scholar
• Battese, G., & Coelli, T. (1995). A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empirical Economics, 20, 325–332. doi:10.1007/BF01205442
   Google Scholar
• Battese, G., Malik, S., & Gill, M. (1996). ’An investigation of technical inefficiencies of production of wheat farmers in four districts of Pakistan’. Journal of Agricultural Economics, 47(1), 37–49. doi:10.1111/j.1477-9552.1996.tb00670.x
   Web of Science ®Google Scholar
• Berg, S. (2010). Water utility benchmarking: Measurement, methodology, and performance incentives. International Water Association. IWA Publishing, London.
   Google Scholar
• Berkhout, E., Shipper, R., Kuyvenhoven, A., & Coulibaly, O. (2010). Does heterogeneity in goals and preferences affect efficiency? A case study of farm households in northern Nigeria. Agricultural Economics, 41, 265–273. doi:10.1111/j.1574-0862.2010.00449.x
   Web of Science ®Google Scholar
• Coelli, T., Rahman, S., & Thirtle, C. (2002). Technical, allocative, cost and scale efficiencies in Bangladesh rice cultivation. A non-parametric approach. Journal of Agricultural Economics, 53(3), 607–626. doi:10.1111/j.1477-9552.2002.tb00040.x
   Web of Science ®Google Scholar
• Coelli, T., Rao, D., O’Donnell, C., & Battese, G. (2005). An introduction to efficiency and productivity analysis. Springer. New York.
   Google Scholar
• Combaz, E. (2013). Women’s and girls’ benefits from market-oriented agriculture in Uganda (Helpdesk research Report). Governance, Social Development Humanitarian Conflict Retrieved from: http://www.gsdrc.org/docs/open/hdq998.pdf.
   Google Scholar
• Dadzie, S., & Dasmani, I. (2010). Gender difference and farm level efficiency: Metafrontier production function approach. Journal of Development and Agricultural Economics, 2(12), 441–451.
   Google Scholar
• Deininger, K., Byerlee, D., Lindsay, J., Norton, A., Selod, S., & Stickler, M. (2011). Rising global interest in farmland: Can it yield sustainable and equitable benefits? Washington, D.C: World Bank. Retrieved from. https://siteresources.worldbank.org/DEC/Resources/Rising-Global-Interest-in-Farmland.pdf
   Google Scholar
• Doss, C. (2014). Collecting sex disaggregated data to improved development policies. [AERC supplement 1]. Journal of African Economies, 23, i62–i86. doi:10.1093/jae/ejt023
   Web of Science ®Google Scholar
• Doss, C., Meinzen-Dick, R., & Bomuhangi, A. (2014). Who owns the land? perspectives from rural ugandans and implications for large-scale land acquisitions. Feminist Economics, 20(1), 76–100. doi:10.1080/13545701.2013.855320
   Web of Science ®Google Scholar
• Dossah, B., & Mohammed, I. (2016). Evaluation of gender differences in resource utilization and technical efficiency of irrigated vegetable farming in Plateau Stata, Nigeria. European Journal of Basic and Applied Sciences, 3(2), 1–14.
   Google Scholar
• Fischer, G., & Shah, M. (2010). Farmland investments and food security. Washington, DC: World Bank. Retrieved from. http://documents.worldbank.org/curated/en/884731468221080363/Farmland-investments-and-food-security
   Google Scholar
• Food and Agriculture Organization of the United Nations. (2011). The state of food and agriculture. Women in agriculture. Closing the gender gap for development. Rome, Italy: FAO.
   Google Scholar
• Food and Agriculture Organization of the United Nations. (2014). FAO statistical yearbook 2014. Africa food and agriculture Retrieved from www.fao.org/3/a-i3620e.pdf.
   Google Scholar
• Hill, R. V., & Vigneri, M. (2009). Mainstreaming gender sensitivity in cash crop market supply chains (Background Report for SODA 2010). Overseas Development Institute.
   Google Scholar
• Irz, X., & Thirtle, C. (2004). Dual technological development in Botswana agriculture: A stochastic input distance function approach. Journal of Agricultural Economics, 55(3), 455–478. doi:10.1111/jage.2004.55.issue-3
   Web of Science ®Google Scholar
• James, P. (2010). Using farmers’ preferences to assess development policy: A case study of Uganda. Development Policy Review, 28(3), 359–378. doi:10.1111/j.1467-7679.2010.00487.x
   Web of Science ®Google Scholar
• Kikoyo, D., & Norbert, J. (2016). Assessment of impact of climate change and adaptation strategies on maize production in Uganda. Physics and Chemistry of the Earth, 93, 37–45. doi:10.1016/j.pce.2015.09.005
   Web of Science ®Google Scholar
• Kilic, T., Palacios-Lopez, A., & Goldstein, M. (2013). Caught in a productivity trap. A distributional perspective on gender differences in Malawian agriculture (Policy Research Working Paper 6381). The World Bank.
   Google Scholar
• Kumbhakar, S., & Lovell, K. (2000). Stochastic frontier analysis. Cambridge University Press. Cambridge.
   Google Scholar
• Kuosmanen, T., Saastamoinen, A., & Sipiläinen, T. (2013). ’What is the best practice for benchmark regulation of electricity distribution? Comparison of DEA, SFA and StoNED methods’. Energy Policy, 61, 740–750. doi:10.1016/j.enpol.2013.05.091
   Web of Science ®Google Scholar
• Madau, F. (2011). Parametric estimation of technical and scale efficiencies in Italian citrus farming. Agricultural Economics Review, 12(1), 91–111.
   Google Scholar
• Muoh, J., Sukoya, I., Kwame, R., & Yangari, O. (2015). Analysis of gender differentials in technical efficiency of smallholder rice farmers in Ashanti region of Ghana. International Journal of Agricultural Research and Reviews, 3(2), 113–121.
   Google Scholar
• Oladeebo, J., & Fajuyigbe, A. (2007). Technical efficiency of men and women upland rice farmers in Osun State, Nigeria. Journal of Human Ecology, 22(2), 93–100. doi:10.1080/09709274.2007.11906006
   Google Scholar
• Peterman, A., Quisumbing, A., Behrman, J., & Nkonya, E. (2011). Understanding the complexities surrounding gender differences in agricultural productivity in Nigeria and Uganda. Journal of Development Studies., 47(10), 1482–1509. doi:10.1080/00220388.2010.536222
   Web of Science ®Google Scholar
• Quisumbing, A. (1996). Male-female differences in agricultural productivity: Methodological issues and empirical evidence. World Development, 24(10), 1579–1595. doi:10.1016/0305-750X(96)00059-9
   Web of Science ®Google Scholar
• Quisumbing, A., Rubin, D., Manfre, C., Waithanji, E., van den Bold, M., Olney, D., & Meinzen-Dick, R. (2013). Closing the gender asset gap: Learning from value chain development in Africa and Asia. Paper developed for the UN Foundation and ExxonMobil Foundation research collaboration on “Building a Roadmap for Women’s Economic Empowerment”. Retrieved from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.739.4575&rep=rep1&type=pdf.
   Google Scholar
• Rahman, S. (2010). Women’s labour contribution to productivity and efficiency in agriculture: Empirical evidence from Bangladesh. Journal of Agricultural Economics, 61(2), 318–342. doi:10.1111/jage.2010.61.issue-2
   Web of Science ®Google Scholar
• Sell, M., & Minot, N. (2018). What factors explain women’s empowerment? decision-making among small-scale farmers in Uganda. Women’s Studies International Forum, 71, 46–55. doi:10.1016/j.wsif.2018.09.005
   Web of Science ®Google Scholar
• Simonyan, J., Umoren, B., & Okoye, B. (2011). Gender differentials in technical efficiency among maize farmers in Essien Udim Local Government Area Nigeria. International Journal of Economics and Management Sciences, 1(2), 17–23.
   Google Scholar
• Slavchevska, V. (2015). Gender differences in agricultural productivity: The case of Tanzania. Agricultural Economics, 46, 335–355. doi:10.1111/agec.2015.46.issue-3
   Web of Science ®Google Scholar
• Sraboni, E., Malapit, H., Quisumbing, A., & Ahmed, A. (2014). Women’s empowerment in agriculture: What role for food security in Bangladesh? World Development, 61, 11–52. doi:10.1016/j.worlddev.2014.03.025
   Web of Science ®Google Scholar
• Uganda Bureau of Statistics (UBOS). (2014). Statistical abstract. Retrieved from www.ubos.org/onlinefiles/uploads/ubos/statistical_abstracts/Statistical%20Abstract%202014.pdf
   Google Scholar
• Wa Gĩthĩnji, M., Konstantinidis, C., & Barenberg, A. (2014). ’Small and productive: Kenyan women and crop choice’. Feminist Economics, 20(1), 101–129. doi:10.1080/13545701.2013.878467
   Web of Science ®Google Scholar
• Wouterse, F. (2016). The distribution of power and household behavior (Discussion Paper 01548). Retrieved from http://ebrary.ifpri.org/cdm/singleitem/collection/p15738coll2/id/130500/rec/1
   Google Scholar