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      • HARVEST
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      • HARVEST
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      An examination of factors influencing producer adoption of HT canola

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      Date
      2004-08-19
      Author
      Keyowski, Lynette R.
      Type
      Thesis
      Degree Level
      Masters
      Metadata
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      Abstract
      This thesis develops a conceptual framework to determine the probability of adopting HT canola when producers are assumed heterogeneous. The model is based on the framework developed by Fulton and Keyowski (1999), but is modified from a deterministic model to a probabilistic model. The study also considers the gross returns from adopting HT canola. Canola production in Manitoba, Canada is chosen as the region of analysis for the empirical component of the study. In 2002, 74 per cent of total canola acres in Manitoba were devoted to HT canola production. Factors such as soil type, producer risk profile, experience, productivity, and management ability are considered as potential determining factors which distinguish adopters of HT technology from non-adopters. Based on an initial assessment of Manitoba canola data, which shows the incomplete adoption of HT technology in Manitoba, a model is developed which considers adoption of a new technology as a function of the characteristics of the adopters. The conceptual model is tested empirically in two-stages. The first stage employs Ordinary Least Squares analysis to estimate the expected yield of different canola varieties to determine whether producers realize a benefit from the adoption of HT varieties. A logit analysis is conducted in the second stage, and considers different attributes of producers – such as risk aversion, management ability, productivity and expected yields – to determine the probability of producers adopting HT technology. The results show two primary findings. First, certain HT varieties can be shown to give producers higher returns. Second, differentiating characteristics of producers are key in determining the likely adoption of HT canola.
      Degree
      Master of Science (M.Sc.)
      Department
      Agricultural Economics
      Program
      Agricultural Economics
      Supervisor
      Fulton, Murray E.
      Committee
      Nolan, James F.; Khachatourians, George G.; Gray, Richard S.
      Copyright Date
      August 2004
      URI
      http://hdl.handle.net/10388/etd-09012004-095225
      Subject
      adoption
      binary choice models
      non-competitive pricing
      innovation diffusion
      threshold models
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