Abstract
The role of agriculture in the transformation of a developing economy has been widely established in the development economics literature. This has informed public policy in developing countries to undertake various interventions to enhance agricultural productivity overtime. This chapter set out to analyze whether or not the various interventions to improve agricultural productivity in Uganda are actually serving their intended purpose of boosting productivity and if they are in turn improving the welfare of the participating households. Based on analysis from three waves of the Living Standards Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA) panel data set for Uganda, the results suggest that government policies aimed at enhancing agricultural productivity are actually working. However, it was established that the uptake of these interventions is limited. Several constraints stand in the way to the achievement of their potential impact, which need to be addressed. For instance, it is critical to examine the implementation modalities for extension services provision with the view to ensuring their increased utilization. There should be intensification of information dissemination regarding the availability of the different technologies. Another critical ingredient in increasing agricultural technologies uptake is, the strengthening of farmer cooperatives as these have been found to address some of the binding constraints to the use of agricultural technologies among smallholder farmers.
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References
Abebaw, D., & Haile, M. G. (2013). The impact of cooperatives on agricultural technology adoption: Empirical evidence from Ethiopia. Food Policy, 38, 82–91.
Abro, A. Z., Alemu, B. A., & Hajra, A. M. (2014). Policies for agricultural productivity growth and poverty reduction in rural Ethiopia. World Development, 59, 461–474.
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. Journal of Econometrics, 6(1), 21–37.
Ali, A., & Abdulai, A. (2010). The adoption of genetically modified cotton and poverty reduction in Pakistan. Journal of Agricultural Economics, 61, 175–192.
Anderson, J., & Feder, G. (2007). Agricultural extension. In R. Evenson & P. Pingali, (Eds.), Handbook of agricultural economics (Vol. 3, pp. 2343e2378: Chapter 44).
Arega, A. D., & Manyong, V. M. (2007). The effect of education on agricultural productivity under traditional and improved technology in Northern Nigeria: An endogenous switching regression analysis. Empirical Economics, 32(1), 141–159.
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, 283–295.
Asongu, S. A., Efobi, U. R., Tanakem, B. V., & Osabuohien, E. (2019). Globalisation and female economic participation in sub-Saharan Africa. Gender Issues. https://doi.org/10.1007/s12147-019-09233-3.
Bachewe, F. N. (2009). The state of subsistence agriculture in Ethiopia: Sources of output growth and agricultural inefficiency. Ph.D. dissertation, University of Minnesota, USA.
Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: With application to paddy farmers in India. The Journal of Productivity Analysis, 3, 153–169.
Becerril, J., & Abdulai, A. (2010). The impact of improved maize varieties on poverty in Mexico: A propensity score-matching approach. World Development, 38(7), 1024–1035.
Breman, H., & Debrah, S. K. (2003). Improving African food security. SAIS Review, XXIII, 153–170.
Cairns, J. E., Hellin, J., Sonder, K., Araus, J. L., MacRobert, J. F., Thierfelder, C., et al. (2013). Adapting maize production to climate change in sub-Saharan Africa. Food Security, 5, 345–360.
Coelli, T. J., Rao, D. P., O’Donnell, C. J., & Battese, G. E. (2005). Introduction to efficiency and productivity analysis. New York, USA: Springer Science Business Media.
de Janvry, A., & Sadoulet, E. (2001). World poverty and the role of agricultural technology: Direct and indirect effects. Journal of Development Studies, 38(4), 1–26.
Dercon, S., Hoddinott, J., & Woldehanna, T. (2012). Growth and chronic poverty: Evidence from rural communities in Ethiopia. Journal of Development Studies, 48(2), 238–253.
Diiro, G. M., Ker, A. P., & Sam, A. G. (2015). Agricultural technology adoption and Nonfarm earnings in Uganda: A semiparametric analysis. The Journal of Developing Areas, 49(2), 145–162.
Doss, C. R. (2006). Analyzing technology adoption using microstudies: Limitations, challenges, and opportunities for improvement. Agricultural Economics, 34(3), 207–219.
FAO. (2011). Guidelines for the preparation of livestock sector reviews: Animal production and health guidelines. Food and Agricultural Organization, No. 5. Rome.
FEWSNET. (2012). A climate trend analysis of Uganda: Famine early warning systems network. Accessed April 25, 2018 from http://pubs.usgs.gov/fs/2012/3062/FS2012-3062.pdf.
Government of Uganda. (2018). Background to the budget for the 2017/2018 financial year. Kampala, Uganda: Government of Uganda, Ministry of Finance, Planning and Economic Development.
Greene, W. H. (2003). Econometric analysis (5th ed.). Upper Saddle River, NJ, USA: Prentice Hall.
Hagos, F., Awulachew, S. B., Loulseged, M., & Yilma, A. D. (2010). Poverty impacts of agricultural water management technologies in Ethiopia. Addis Ababa, Ethiopia: International Water Management Institute (IWMI), East Africa and Nile Basin Office.
Hall, A. J., & Richards, R. A. (2013). Prognosis for genetic improvement of yield potential and water-limited yield of major grain crops. Field Crops Research, 143, 18–33.
Irz, X., Thirtle, C., Lin, L., & Wiggins, S. (2001). Agricultural productivity growth and poverty alleviation. Development Policy Review, 19(4), 449–466.
Kassie, M., Shiferaw, B., & Muricho, G. (2011). Agricultural technology, crop income, and poverty alleviation in Uganda. World Development, 39(10), 1784–1795.
Kassie, M., Jaleta, M., & Mattei, A. (2014). Evaluating the impact of improved maize varieties on food security in Rural Tanzania: Evidence from a continuous treatment approach. Food Security, 6, 217–230. https://doi.org/10.1007/s12571-014-0332-x.
Kijima, Y., Matsumoto, T., & Yamano, T. (2006). Nonfarm employment, agricultural shocks, and poverty dynamics: Evidence from rural Uganda. Agricultural Economics, 35(3), 459–467.
Kumbhakar, S. C., & Lovell, C. A. K. (2000). Stochastic frontier analysis. Cambridge: University Press.
Langyintuo, A. S., Mwangi, W., ADiallo, O., MacRobert, J., Dixon, J., & Bänziger, M. (2010). Challenges of the maize seed industry in Eastern and Southern Africa: A compelling case for private–public intervention to promote growth. Food Policy, 35, 323–333.
Lovell, C. A. K. (1993). Production frontiers and productive efficiency. In H. O. Fried, C. A. K. Lovell, & S. S. Schmidt (Eds.), The measurement of productive efficiency: Techniques and applications (pp. 3–67). New York: Oxford University Press.
Ma, W., & Abdulai, A. (2016). Does cooperative membership improve household welfare? Evidence from apple farmers in China. Food Policy, 58, 94–102.
Mendola, M. (2007). Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh. Food Policy, 32, 372–393.
Minten, B., & Barrett, C. B. (2008). Agricultural technology, productivity, and poverty in Madagascar. World Development, 36(5), 797–822.
Morris, M., Kelly, V. A., Kopicki, R., & Byerlee, D. (2007). Promoting increased fertilizer use in Africa: Lessons learned and good practice guidelines. Washington, DC: World Bank.
Osabuohien, E., Efobi, U. R., Herrmann, R., & Gitau, C. M. (2019). Female labor outcomes and large-scale agricultural land investments: Macro-micro evidence from Tanzania. Land Use Policy, 82, 716–728.
Osabuohien, E. S., Gitau, C. M., Efobi, U. R., & Bruentrup, M. (2015). Agents and implications of foreign land deals in East African community: The case of Uganda. In E. Osabuohien (Ed.), Handbook of research on in-country determinants and implications of foreign land acquisitions (pp. 263–286). Hershey, PA: Business Science Reference. https://doi.org/10.4018/978-1-4666-7405-9.ch013.
Otsuka, K. (2000). Role of agricultural research in poverty reduction: Lessons from the Asian experience. Food Policy, 254, 447–462.
Rahman, S. (1999). Impact of technological change on income distribution and poverty in Bangladesh agriculture: An empirical analysis. Journal of International Development, 11(7), 935–955.
Simler, K. R., Mukherjee, S., Dava, G. L., & Datt, G. (2004). Rebuilding after war: Micro-level determinants of poverty reduction in Mozambique (Research Report 32). Washington, DC: International Food Policy Research Institute.
Shiferaw, B., Kebede, T., Kassie, M., & Fisher, M. (2015). Market imperfections, access to information and technology adoption in Uganda: Challenges of overcoming multiple constraints. Agricultural Economics, 46(4), 475–488.
Shiferaw, B., Kebede, T. A., & You, Z. (2008). Technology adoption under seed access constraints and the economic impacts of improved pigeon pea varieties in Tanzania. Agricultural Economics, 39(3), 1–15.
Tafesse, A. S., Dorosh, P., & Asrat, S. (2011). Crop production in Ethiopia: Regional patterns and trends (Ethiopia ESSP II Working Paper No. 0016). Addis Ababa, Ethiopia: Development Strategy and Governance Division, International Food Policy Research Institute, Ethiopia Strategy Support Program II.
Thirtle, C., Irz, X., Lin, L., McKenzie-Hill, V., & Wiggins, S. (2001). Relationship between changes in agricultural productivity and the incidence of poverty in developing countries (Report No. 7946 27/02/2001). UK: Department for International Development (DFID).
Tittonell, P., & Giller, K. E. (2013). When yield gaps are poverty traps: The paradigm of ecological intensification in African smallholder agriculture. Field Crops Research, 143, 76–90.
UBOS. (2016). National accounts [Online]. Accessed March 2, 2018, from http://www.ubos.org/statistics/macro-economic/national-accounts.
Verhofstadt, E., & Maertens, M. (2014). Can agricultural cooperatives reduce Poverty? Heterogeneous impact of cooperative membership on farmers’ welfare in Rwanda. Applied Economic Perspectives and Policy, 2014, 1–21.
Wooldridge, J. M. (2009). Introduction to econometrics: A modern approach (4th ed.). Mason, OH: South Western Educational Publishing.
World Bank. (2008). World development report 2008: Agriculture for development. Washington, DC: World Bank.
World Bank, World Development Indicators. (2010). http://data.worldbank.org/Datacatalog/World-Development-Indicators.
Wossen, T., Berger, T., & Di Falco, S. (2015). Social capital, risk preference and adoption of improved farm land management practices in Ethiopia. Agricultural Economics, 46, 81–97.
Wossen, T., Abdoulaye, T., Alene, A., Haile, M. G., Feleke, S., Olanrewaju, A., et al. (2017). Impacts of extension access and cooperative membership on technology adoption and household welfare. Journal of Rural Studies, 54, 223–233.
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Kilimani, N., Nnyanzi, J.B., Okumu, I.M., Bbaale, E. (2020). Agricultural Productivity and Household Welfare in Uganda: Examining the Relevance of Agricultural Improvement Interventions. In: Osabuohien, E.S. (eds) The Palgrave Handbook of Agricultural and Rural Development in Africa. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-41513-6_8
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