Thesis (Ph. D.)--University of Hawaii at Manoa, 1994. / Includes bibliographical references (leaves 144-151). / Microfiche. / xiii, 151 leaves, bound ill. 29 cm

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Technology adoption has been seen as key to the development of more productive agriculture in lesser developed countries. But the adoption and adaptation of new agricultural technology occurs at the level of farm families where decisions are made based on perceived risks and benefits of the new technology, and its fit within the knowledge and practices of existing agricultural system. / The processes and consequences of household decision-making are investigated using unidisciplinary methods of decision analysis involving statistical, mathematical, psychological, anthropological and econometric techniques brought together in a holistic manner. The study is focused in the Ada and Selale regions of the Central Ethiopian Highlands. The technologies studied are fertilizer, improved crop varieties, pesticides and cross-bred cows. / Differences in goals and strategies of households are caused by inequalities in ownership of physical resources, and access to local institutions and indigenous knowledge. Village and regional institutions greatly influence access to physical (e.g. land) and non-physical (knowledge and information) resources. Successful intervention strategies are those that recognize region- and experience-specific potentials. / When compared with physical resources, non-physical resources exert greater influence on decisions to adopt technologies and on the efficiency with which inputs are used in the production of grain and milk outputs. Producers are willing to take risks in enterprises in which they have the advantages of favourable location or experience. The degree of risk-averse behaviour of households reduces the probability of adopting technologies in both study sites. Natural factors (e.g. rainfall) and policy variables (e.g., land tenure and market) increase production risk. Indigenous production knowledge and schooling consistently reduce variability in production.

Diss. (sammanfattning) Uppsala : Sveriges lantbruksuniv., 2007. / Härtill 4 uppsatser.

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Financial stress in agriculture has been a concern over the past century. Agrarian values and "love of the land" seem to yield public conclusions for the support of the industry. Much of this support is in the interest of preserving a viable food producing sector in an volatile world climate. High interest rates, declining land values and highly competitive export markets have spurred renewed concern for farm survival in the past ten years. One alternative to traditional price supports and tariffs for farm household support is off-farm income. This may take many forms including off-farm wages and salaries, rental income, interest and dividend income and, retirement or pension funds. Central to the analysis of nonfarm income generation is the allocation of time by farm households. For farmers who place a high value on the farm lifestyle, occupational choice is embedded in the time decision to such an extent that the resource allocations based on economic efficiency criteria may be altered. Tobit techniques offer a new approach to the analysis of farm household decisions on time allocation. The procedure allows the investigator to estimate and evaluate parameters that may affect the amount of off-farm work by farm household members. The Tobit analysis is designed for censored data sets. The data in this study were censored because there were missing observations on the quantity of off-farm work for those individuals who did not work off-farm in 1986. Results of Tobit analyses of off-farm work by farm operators and spouses in three Oregon counties indicated that high levels of gross farm income reduce the likelihood and extent of off-farm work. Middle-aged operators worked off-farm more while the presence of small children and elderly dependents in the farm household inhibited off-farm work. The allocation decisions of the spouse and the operator appeared to be independent; this supports a nonsimultaneous Tobit specification like the one used in this research. / Graduation date: 1988

Organic farming is increasingly viewed as a plausible production system for sustainable agriculture for smallholder farmers. However, there is not enough scientific evidence and knowledge to advocate certified organic farming for African smallholder farmers who face several constraints related to production, storage and marketing. The potential for organic farming for smallholder farmers, faced by these constraints, is not clearly defined. As a result, this study set out to evaluate the production potential of organic agriculture among three smallholder farmer groups. Production questions were used to investigate and evaluate the potential for organic agriculture among three smallholder farmer groups and constituted the following subproblems: · What crops can be grown in the three study areas, based on climatic data ? · Do farmers concur that these are the most suitable potential organic crops? · How useful do the farmers find the decision making tool? · What constraints threaten commercial production of the identified crops for these farmers? Participatory methodologies that included the use of Force Field Analysis, discussions and workshops were used to identify organic production constraints related to production decisions. Farmers faced constraints related to finance, capacity enhancement, technical knowledge, fencing, irrigation, and a lack of, or inappropriately trained extension officers. As a response to identified production constraints, a decision support tool was developed. Natural resource data, including climatic and agronomic data, was used to create a specially calibrated Microsoft Excel spreadsheet interface that functions as an empirical organic production decision support tool for organic and aspirant organic smallholder farmers, by providing answers for farmer-prioritised production constraints. A list of potential crops for each of the three study areas was subjected to a series of checks against suitability for climate and disease conditions and nutrient requirements. A limited supply of manure, to meet the enormously high requirements for organic production in the poor soils of these areas, is the major constraint to exclusive organic production and renders certified organic production difficult and unsustainable. Farmers disagreed with some of the crops on the list, arguing that familiar crops were rejected by the model, but they were excited by the prospects for production of “new” crops suggested as suitable by the decision support tool, but not yet grown in the study areas. End users welcomed the model and expressed the opinion that it would be useful in decision making related to organic crop production. The study concludes that, although a number of agronomically-suitable crops can grow in the study areas, organic production is restricted by rather high manure requirements, lack of compost making skills, lack of knowledge on natural pest and disease control and poorly nourished soils, leading to poor yields. The rainy season creates a disease-supporting environment, rendering organic farming risky for rain-fed smallholder farming. Risk in certified organic farming for smallholders was further exacerbated by a hardly inconducive policy environment that low literacy levels exist amongst farmers. This study is innovative for three reasons. First, farmers were true participants and drivers of the research. Second, trans-disciplinary expert seminars were attended by experts from different disciplines who critiqued the conceptualisation, design, and implementation of the study. Third, the development of a practical decision-support tool shows innovation towards solving complex smallholder farmers decisions. If organic farming is to be promoted, commitment by government is needed in order to establish policy and legislation on organic farming to direct and govern training, information provision and marketing. Intensive training and knowledge building of organic production for smallholder farmers and extension officers is critical. There are also agroecological risks associated with organic farming for smallholder farmers. Recommendations for future research include comparison between organic agriculture and conventional agriculture, where sustainability of certified organic farming and economic viability can be conducted in the South African context. Improvement of the decision making tool will require involving information technology specialists so that the tool can be installed in community centres, extension offices and other accessible places for farmers and others. / Thesis (Ph.D.)-University of KwaZulu-Natal, Pietermaritzburg, 2008.

Historically, South Africans, particularly small-scale farmers have had little support and hence lack tools and information when faced with production decisions. Information plays an important role in enlightening people, raising their level of knowledge and in turn improving their standard of living and participation in decision making process. Research shows that Information Communication Technology (ICT) like Decision support tools (DSTs) plays an important role in systematic dissemination of information in agriculture, thus improving the quality of farmers’ decisions. Decision support tools provide up-to-date data, procedures and analytical capacity leading to better-informed decisions, especially in rural areas. A body of research is emerging around issues of effectiveness of DSTs for farmers in the developed world. However, few studies have focused on issues around effectiveness of these tools for farmers in the developing world, particularly for resource-limited farmers. This study set out to evaluate the effectiveness of a new DST for organic and small-scale farmers with a group of extension officers and researchers in KwaZulu-Natal. As an extension to the DST, a crop disease management component linked to the DST was developed. The study also set to evaluate the effectiveness of the crop disease management component. Extension officers and researchers were purposively selected for this study because both groups play a major role as far as organising and disseminating information to organic and small-scale farmers is concerned. This study identified key measures for effectiveness of DSTs and crop disease management guides using literature from the study. Two frameworks for measuring effectiveness were developed to evaluate the effectiveness of the new DST and its crop disease management component with the extension officers and researchers. Focus group discussions were used for data collection. The frameworks were used as a base for the focus group discussions. Focus groups were conducted to explore and establish whether in the light the groups (extension officers and researchers), the new DST and its crop disease management component are effective. Results from the study revealed that extension officers and researchers felt that the DST and its crop disease management component are effective since they meet key measures for effectiveness identified in the framework. The groups agreed that the DST and its crop disease management component are relevant to small-scale farmers. They also agreed that the DST has the ability to improve access to information for small-scale farmers. Lastly, they also agreed that the DST and its crop disease management component are transparent (meaning flexible and user friendly) for small-scale farmers. Some of the areas for improvement identified by the groups included a need for information on pests and more diseases for the DST and the crop disease management component. Although the groups felt that both the DST and crop disease management were effective, they strongly recommended a need for another study that will aim at developing a pest management component of the DST as this was clearly requested by groups in this study. Results of this study showed that half the respondents felt that the DST was easy enough to be used by small-scale farmers without help from extension officers, while the other half believed that small-scale farmers will still need the help of extension officers to show them how to use the DST. Government and other relevant institutions need to provide appropriate training for these farmers, making the DST useful to them. / Thesis (M.Agric)-University of KwaZulu-Natal, Pietermaritzburg, 2011.