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The survey was aimed at characterizing the transition of smallholder farmers who have become medium- and large-scale commercial farmers in Ghana, assessing agricultural machinery ownership, and patterns of demand for agricultural mechanization among farmers in the country. The data generated from the survey will answer some of the critical questions pertaining to agricultural transformation in the country.
This framework presents ten interrelated principles/elements to guide Sustainable Agricultural Mechanization in Africa (SAMA). Further, it presents the technical issues to be considered under SAMA and the options to be analysed at the country and sub regional levels. The ten key elements required in a framework for SAMA are as follows: The analysis in the framework calls for a specific approach, involving learning from other parts of the world where significant transformation of the agricultural mechanization sector has already occurred within a three-to-four decade time frame, and developing policies and programmes to realize Africa’s aspirations of Zero Hunger by 2025. This approach entails the identification and prioritization of relevant and interrelated elements to help countries develop strategies and practical development plans that create synergies in line with their agricultural transformation plans. Given the unique characteristics of each country and the diverse needs of Africa due to the ecological heterogeneity and the wide range of farm sizes, the framework avoids being prescriptive.
Agricultural mechanization in Africa south of the Sahara — especially for small farms and businesses — requires a new paradigm to meet the needs of the continent’s evolving farming systems. Can Asia, with its recent success in adopting mechanization, offer a model for Africa? An Evolving Paradigm of Agricultural Mechanization Development analyzes the experiences of eight Asian and five African countries. The authors explore crucial government roles in boosting and supporting mechanization, from import policies to promotion policies to public good policies. Potential approaches presented to facilitating mechanization in Africa include prioritizing market-led hiring services, eliminating distortions, and developing appropriate technologies for the African context. The role of agricultural mechanization within overall agricultural and rural transformation strategies in Africa is also discussed. The book’s recommendations and insights should be useful to national policymakers and the development community, who can adapt this knowledge to local contexts and use it as a foundation for further research.
The manual work carried out by farmers and their families is often both arduous and time consuming and in many countries this is a major constraint to increasing agricultural production. Such day-to-day drudgery is a major contributoring factor in the migration of people, particularly the young, from the rural countryside to seek the prospect of a better life in the towns and cities. Farm production can be substantially increased through the use of mechanical technologies which both are labor-saving and directly increase yields and production. This document provides guidelines on the development and formulation of an agricultural mechanization strategy and forms part of FAO's approach on sustainable production intensification.
The adoption of machinery in agricultural production in Africa south of the Sahara has been far behind the level of mechanization found in Asia and Latin America. However, recent survey data have revealed high levels of machinery use in localized areas of cereal production in northern Ghana. A survey conducted by the International Food Policy Research Institute, in partnership with the Savannah Agriculture Research Institute, found that in some areas more than 80 percent of farmers were using machinery for at least one operation. This paper considers the theoretical drivers of agricultural intensification, as outlined by Boserup, Pingali, and Binswanger, and the extent to which they are able to explain the spatial variation in machinery use found in northern Ghana. Population pressure, market access, and agroecological conditions are considered key drivers that cause farmers to find ways to increase productivity and adopt new technologies. Combining survey data with geospatial datasets, the empirical analysis finds that population growth and travel time to the local urban center explain a significant and large proportion of the variation in machinery use by farmers.
The past decade has seen several African countries increasing their agricultural growth, a trend largely underpinned by increases in land area cultivated instead of productivity increases. Meanwhile, scholars debate whether Africa should pursue a strategy of large-scale or smallholder farms, paying little attention to a special group of smallholder farmers who have transitioned to become medium- and large-scale farmers. This study, therefore, begins to analyze this group of farmers, using qualitative data from in-depth interviews and focus group discussions in Ghana. We analyze their characteristics, ingredients of farm-size expansion, and commercialization. Numerous insights are gained and hypotheses formulated for future research. One important insight is that with the right attitude, exposure, and discipline, it is possible for smallholder farmers to increase their farm size and commercialize regardless of initial farm enterprise choice. However, to transition, initial farm size and farming system appear critical, with farmers in areas of low population density and flat topography more likely to acquire larger farming land. The transition, however, occurs gradually over 20 to 30 years, with mean annual land acquisition rates ranging from 0.3 to 24.3 acres per year. In the transition process, large- and medium-scale farmers are found to increase their use of modern farm inputs (such as fertilizer and high-yielding seed varieties) and agricultural technologies (such as tractors and processing machinery) and appear more productive than smallholder farmers. Additional quantitative analyses using representative survey data are, however, needed to substantiate the observed qualitative patterns and to further understand the trajectories of farm size expansion and the implications for agricultural productivity and commercialization.
The Progress towards Sustainable Agriculture initiative (PROSA) is a framework that seeks to complement ongoing efforts on the Sustainable Development Goals (SDGs), and particularly indicator 2.4.1, to support country-level assessments using data already available at the national level. Making agriculture more sustainable – productive, environmentally friendly, resilient and profitable is fundamental, as agriculture remains the main source of livelihood for the majority of the world’s poor and hungry. The pathway towards sustainable agriculture must ensure increasing output, but also make more efficient use of increasingly scarce global resources, be resilient to and help mitigate climate change, and improve human well-being. This technical study examines the key factors driving changes in trends in the indicators of sustainable agriculture and provides decision-makers with insights into viable options for achieving this goal. The study identifies five key groups of drivers that most influence these indicators globally. The ways in which each driver affects the multiple dimensions of sustainability highlights the interconnections, synergies and trade-offs that must be managed in different global contexts to achieve agricultural sustainability. The analysis can help decision-makers operating in different country contexts to identify practical solutions to ensure that their interventions contribute positively to a more sustainable agriculture.
Ghana is one of a few African countries where agricultural mechanization has recently undergone rapid development. Except for places in the forest zone where stumps are still an issue in fields, tractors used for plowing and maize shelling have been widely adopted even among small farmers. Medium- and large-scale farmers who own tractors provide the majority of mechanization services. Recognizing this fundamental fact is important for designing any effective mechanization policy, which should aim at the entire service market instead of targeting a selected group of service providers as beneficiaries. Tractor owners and operators are often discouraged from traveling long distances to plow only a few acres for individual small farmers, which becomes a considerable barrier for smallholders to access tractor services on time. This requires the government consider mechanisms to improve coordination among small farmers and to encourage Farmer Based Organizations (FBOs) to facilitate such coordination. The use of harrowing or second-plowing has been shown as a productivity-enhancing farming practice but it is currently under-demanded by farmers. A pilot program to address the coordination failures and to nudge small farmers to adopt harrowing services together can be considered.
This paper characterizes the transition from small-scale farming and the drivers of farm size growth among medium- and large-scale farmers in Ghana. The research was designed to better understand the dynamics of change in Ghana’s farm structure and contribute to the debate on whether Africa should pursue a smallholder-based or large-scale oriented agricultural development strategy. The results suggest a rising number of medium-scale farmers and a declining number of smallholder farmers in the country, a pattern that is consistent with a changing farm structure in the country’s agricultural sector. More important, findings show that the rise to medium- and large-scale farming is significantly associated with successful transition of small-scale farmers rather than entry of medium or large farms into agriculture, reflecting small-scale farmers successfully breaking through the barriers of subsistence agriculture into more commercialized production systems. The findings in this paper also suggest that some of the factors thought to be important for change in farm structure are no obstacle to farm size growth, even though they may foster transition. Notably, the results here diverge from the patterns observed in Zambia and Kenya, which indicate that the emergent farmers came mostly from the urban elite. Unfortunately, past and current policy discussions have not featured these emergent farmers sufficiently in the quest to transform agriculture in Ghana. Government should capitalize on these emergent farmers who have a demonstrated ability to graduate productively as it strives to address challenges in the smallholder sector.
The focus in this paper is on two relatively large maize-based contract farming (CF) schemes with fixed input packages (Masara and Akate) and a number of smaller and more flexible CF schemes in a remote region in Ghana (Upper West). Results show that these schemes led to improved technology adoption and yield increases. In addition, a subset of maize farmers with high yield improvements due to CF participation had high gross margins. However, on average, yields were not high enough to compensate for higher input requirements and cost of capital. On average, households harvest 29–30 bags (100 kg each), or 2.9–3.0 metric tons, of maize per hectare, and the required repayment for fertilizer, seed, herbicide, and materials provided under the average CF scheme is 21–25 bags (50 kg each) per acre, or 2.6–3.0 tons per hectare, which leaves almost none for home consumption or for sale. Despite higher yields, the costs to produce 1 ton of maize under CF schemes remain high on average—higher than on maize farms without CF schemes, more than twice that of several countries in Africa, and more than seven times higher than that of major maize-exporting countries (the United States, Brazil, and Argentina). Sustainability of these CF schemes will depend on, from the firms’ perspective, minimizing the costs to run and monitor them, and from the farmers’ perspective, developing and promoting much-improved varieties and technologies that may lead to a jump in yields and gross margins to compensate for the high cost of credit.