Browsing by Author "Lubade, Geofrey"
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Item Impact Evaluation and Returns to Investment of the National Agricultural Advisory Services (NAADS) Program of Uganda(International Food Policy Research Institute, 2008) Benin, Samuel; Nkonya, Ephraim; Okecho, Geresom; Randriamamonjy, Josee; Kato, Edward; Lubade, Geofrey; Kyotalimye, Miriam; Byekwaso, FrancisUganda has for a long period of time experienced strong economic growth. In the 1990s, gross domestic product grew steadily by more than 6% per annum from a low rate of 3 percent in the 1980s, and the proportion of the population living under the poverty line declined from 56.4 percent in 1992 to 31.1 percent in 2006. This remarkable turnaround from the depression associated with the political turmoil and economic mismanagement of the 1970‘s until the mid-1980s has been achieved through sound policies linked to investments and economic liberalization undertaken by the Government of Uganda (GOU) with support from the donor community. Despite the substantial progress made, several challenges remain in sustaining the momentum by way of increasing productivity, ensuring sustainable use of natural resources, and reducing poverty, hunger and human disease. Recognizing the importance of a multi-sectoral approach to accelerating growth and reducing mass poverty, the Government of Uganda has since 2000 been implementing the Plan for Modernization of Agriculture (PMA) as a key policy initiative aimed at reducing mass poverty to a level below 28 percent by 2014. The PMA, which is situated within the country‘s vision of Prosperity for All and is supported by the broader Rural Development Strategy, has an ambitious agenda of policy and institutional reform across seven pillars, a key one of which is improving delivery of agricultural extension through the National Agricultural Advisory Services (NAADS) program. Since its inception in 2001, NAADS has devised an innovative extension service delivery approach, that targets the development and use of farmer institutions and in the process empowers them to procure advisory services, manage linkage with marketing partners and conduct demand-driven monitoring and evaluation of the advisory services and their impacts. NAADS was initiated in 2001 in six districts (Arua, Kabale, Kibaale, Mukono, Soroti and Tororo), within which the NAADS program began working in 24 sub-counties. By end of 2006/07 financial year, the program had been extended to 545 sub-counties (about 83.1 percent of the total sub-counties), and is expected to cover the entire country by end of the financial year 2007/08, ending the first phase (Phase I) of the program. By the end of the 2006/07 financial year also, UGX 110 billion (in 2000 value terms) had been spent on the program.Item Returns to spending on agricultural extension: the case of the National Agricultural Advisory Services (NAADS) program of Uganda(Agricultural economics, 2011) Benin, Samuel; Nkonya, Ephraim; Okecho, Geresom; Randriamamonjy, Jose´e; Kato, Edward; Lubade, Geofrey; Kyotalimye, MiriamThe aim of this paper is to assess the direct and indirect impacts of the agricultural extension system of Uganda, the National Agricultural Advisory Services (NAADS) program, on household agricultural income. Data from two rounds of surveys of Ugandan rural farm-households conducted in 2004 and 2007, as well as different program evaluation methods and model specifications, are used to estimate impacts and compute a rate of return. The direct and indirect impact of the program is estimated at 37–95% and 27–55% increase in per capita agricultural gross revenue between 2004 and 2007 for households participating directly and indirectly in the program, respectively, compared to nonparticipants. The rate of return on the program’s expenditures is estimated at 8–49%. The program has been relatively more effective among male-headed, larger, and asset-poor households, as well as those taking up noncrop high-value enterprises and living further away from financial services, all-weather roads, and markets or located in the Eastern and Northern Regions. Policy implications of the results are drawn.