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The study was aimed at analyzing the technical efficiency in maize production of smallholder farmers in Mecha district, West Gojjam, ANRS. Cross sectional data from 120 maize producer farmers were collected during 2004/05 production season. The estimated results of the Cobb-Douglas frontier model with inefficiency variables shows that the mean technical efficiency of the farmers in the production of maize is 78 percent. This implies that maize productivity can be increased by 22 percent given the existing technological level. Thus currently farmers are not using production inputs efficiently in such a way that they give their maximum potential. The discrepancy ratio gamma ( ), which measures the relative deviation of output from the frontier level due to inefficiency, was about 66 percent. This implies that about 66 percent of the variation in maize production (yield) among the sample respondents was attributed to technical inefficiency effects. The estimated stochastic production frontier (SPF) model also indicates that DAP fertilizer, Area, Labor and Pesticide are significant determinants of maize production level."
The most criticisms of agricultural projects are that their design, management and monitoring are little efficient and consider little development needs of stakeholders. These weaknesses induce low impacts on sustainable development of beneficiaries, as well as low participation and adoption of modern technologies, which make the projects little sustainable. This book investigates therefore the impacts of the projects on sustainable development of stakeholders and the factors affecting their participation and adoption decisions, using a with-without approach and a structural modelling. The results show the impacts were positive, but depended closely on the area where the projects were implemented. As feedback, overall satisfactions that the stakeholders view from the impacts, human capital and access to production inputs were key factors of participation and adoption. Therefore, the solution for more sustainable impacts of agricultural projects lies on designing and implementing small-scale projects that target real development problems of stakeholders, improvement on human capital and access to production input.
This volume presents a state-of-the-art overview of the rapidly evolving field of agribusiness, highlighting the most current issues, concepts, trends and themes in research, practice and policy. With a particular emphasis on technology, product and process innovation, the authors cover a wide array of topics relating to such issues as research and development, technology transfer and patents and licensing, with particular respect to the roles of academic institutions, private organizations and public agencies in generating and disseminating knowledge. Featuring case studies of innovative initiatives across the industry, this book will appeal to researchers, business leaders, university administrators and policymakers concerned with the multi-faceted implications of this dynamic and controversial sector.
The Innovation for Agribusiness (InovAgro) project, which launched with its first three year phase in 2010, uses a market system development (MSD) approach towards the goal of increasing incomes of men and women small-scale farmers in northern Mozambique. InovAgro interventions promote improved agricultural productivity, participation in selected high-potential value chains and the development of inclusive and sustainable market systems, such that impacts are expected to last long beyond the termination of the project. This paper presents results from a midline quantitative impact evaluation of the second phase of the InovAgro project interventions (2014-2017). In it, we use a carefully designed and executed quasi-experimental study design to credibly attribute changes in market engagement and welfare of participating farmers to exposure to the InovAgro II project, identifying and testing in what respects the intervention was most successful, and what regard it had less impact. Although InovAgro II projects operate in 11 districts of Zambézia and Cabo Delgado provinces, this impact evaluation focuses on two districts in Zambézia province (Alto Molócue and Molumbo), and in terms of value chains, focuses on the soybean and pigeon pea high-potential value chains, while the InovAgro II project interventions focus on these in addition to maize, sesame and groundnut. A baseline survey was undertaken in 2015 covering the 2014/2015 agricultural season and a midline follow-up survey was conducted in 2017, covering the 2016/2017 agricultural season and reaching 1,749 households of the original 1,886 households interviewed in the baseline survey. Using difference-in-difference estimation and propensity score matching, we find that exposure to the InovAgro II project is associated with an increase in the proportion of households selling soybean and pigeon pea by approximately 5% and 16%, respectively (significant at the .01 level). Exposure to the InovAgro II project also results in significantly higher shares of smallholder farmers using improved seed for soybean and pigeon pea (an increase of 6% for soybean and 2% for pigeon pea). We find that the InovAgro II project is also associated with significant increases in access to agricultural output market information from formal sources (5%) and hired labor for farming activities (8%). Despite the significant impacts on short term outcome variables, exposure to the InovAgro II project had limited impact on long term outcome variables, such as on rural-urban migration as well as engagement in the non-farm sector (two proxies for assessing potential welfare implications of the project) however this finding is not surprising given the impact evaluation covers only two years-a short period of time to bring about the long-term impacts expected to eventually emanate from an MSD project.
Cover Crops in West Africa Contributing to Sustainable Agriculture
A joint FAO and World Bank study which shows how the farming systems approach can be used to identify priorities for the reduction of hunger and poverty in the main farming systems of the six major developing regions of the world.