search through journal, The study investigates the value of additional information on the response function to soil salinity of a given crop (potatoes), with regard to a stochastic long-run optimization model for utilization of saline water in a single-farm framework. The analysis provides a conceptual and methodological framework for investigating the expected value of sample information (EVSI), as well as an efficient tool for empirical application. Although a few approximations have been used, the results provide an estimate of EVSI and indicate the need for additional information (original)
16pgs, Joint venture (JV) farm structures have the potential to increase the productivity and profitability of traditional family farms. However, such structures are not widely adopted within the farm business community. Furthermore, knowledge on the relative attractiveness of different JV models to farmers is limited. We use a choice experiment to explore what JV structures are preferred by Australian farmers, and how farmers’ socio-demographic and attitudinal characteristics influence the type of JV structure preferred. A latent class analysis revealed significant unobserved preference heterogeneity amongst the population. We identify four latent classes that differ in their preferences regarding the number of JV partners, access to new machinery, and/or the opportunity for additional annual leave. All classes of farmers displayed positive preferences for operational decision-making with other JV partners, although they varied in their preferences towards final operational responsibility. The diversity in preferences shows that there is no ‘one size fits all’ JV design, leaving opportunities for a range of JV decision models. Such flexibility in JV design is likely to have advantages when seeking JV partners, with a significant proportion of the sampled population open to collaborative decision-making models.
James F. Evans Collection; See C04120 for original, The study at the University of Wisconsin-Madison seeks to determine how much a farmer will actually use his/her computer after purchase. The introductory study looked broadly at the farmers' background, environment, and personality. It set out to discover what focuses in farm life enhance or diminish a farmer's computer use. The variables suggested include: Complexity of Farm, Degree of External Support, Age, Views on Management, Time, Experience, network, Availability of Information, and Personality and Approach to Learning. Several implications are suggested by these preliminary findings that might facilitate the use of computers.
15 pages., In the National Development Plan, cooperatives and agriculture development are identified as possible solutions for addressing rural poverty and unemployment, especially among the youth. However, according to most research/literature, agricultural cooperatives fail for many reasons, including but not limited to lack of capital, incompetent management and organizational deficiencies. This study applied a qualitative analysis to the qualitative data using a case study of Zanokhanyo Food Security Cooperative (ZFSC) in Ndabakazi, Butterworth. Interviews with the project members, ex-members, extension officers and youth were conducted through a semi-structured questionnaire administered in IsiXhosa. According to the results, lack of intensive production resulting in very low incomes is one of the reasons why projects such as ZFSC fail to attract young people and provide employment for rural people. Agricultural extension advisory services play a very limited role because of their generalist approach; they lack depth of knowledge about diverse agricultural subject areas. This study recommends that agricultural extension and the farmers’ support system be improved by employing or outsourcing specialists to cater to the needs of agricultural cooperatives in order to improve the productivity and income of agricultural cooperatives.
