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The effect of label information on farmers' pesticide choice.

机译:标签信息对农民农药选择的影响。

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摘要

Pesticide labels provide farmers with information about potential health and environmental consequences associated with their use. This study analyzed the effect of label information on farmers' herbicide choices. Two approaches were used as theoretical framework for the analysis: a hedonic model using the household production theory and a discrete choice random utility model. The empirical estimation of the models was based on a sample of U.S. soybean farmers. Characteristics of the herbicides used as explanatory variables included health and environmental characteristics displayed on herbicides labels and efficiency measures calculated using relevant studies from the agronomic literature. Models estimated using information available on the labels were compared with a model estimated with variables obtained from MSDS's. This comparison was done to assess the assumption held in previous studies that farmers have a detailed and complete understanding of all the scientific measures used to evaluate the human and environmental risk of pesticide use (e.g., LD50 values). Finally, results from the estimated models were used to analyze the consistency of herbicide risk indices among alternative model specifications.;The results suggest that health and environmental statements displayed on pesticide labels (which generally reflect higher level of risk) reduce significantly the probability of selection, although, they seem to be less important than the herbicide production characteristics and cost. It was estimated that farmers are willing to pay ;Finally, the statistical results suggest that farmers' understanding of the human safety and environmental characteristics of herbicides is more in line with the information displayed on the labels than with the information contained in the MSDS's. This result has important implications for estimation and use of pesticide risk indices. In fact, it was shown that risk indices estimates are very sensitive to model specifications based on different assumptions regarding farmers' knowledge of herbicides' human and environmental characteristics.
机译:农药标签可为农民提供与其使用相关的潜在健康和环境后果的信息。这项研究分析了标签信息对农民除草剂选择的影响。两种方法用作分析的理论框架:使用家庭生产理论的享乐模型和离散选择随机效用模型。对模型的经验估计是基于美国大豆农户的样本。用作解释变量的除草剂的特性包括显示在除草剂标签上的健康和环境特性,以及根据农艺文献的相关研究计算出的效率指标。将使用标签上可用信息估算的模型与使用从MSDS获得的变量估算的模型进行比较。进行这种比较是为了评估以前的研究中的假设,即农民对用来评估农药使用对人类和环境的风险的所有科学措施(例如LD50值)具有详细而完整的理解。最后,使用估计模型的结果来分析替代模型规范中除草剂风险指数的一致性。结果表明,农药标签上显示的健康和环境声明(通常反映较高风险水平)显着降低了选择的可能性但是,它们似乎不如除草剂的生产特性和成本重要。据估计,农民愿意支付;最后,统计结果表明,农民对除草剂的人身安全和环境特征的了解与标签上显示的信息更为一致,而不是与MSDS中所包含的信息更为一致。该结果对农药风险指数的估计和使用具有重要意义。实际上,事实表明,基于关于农民对除草剂人类和环境特征的认识的不同假设,风险指数估计值对模型规范非常敏感。

著录项

  • 作者

    Hasing, Tomas Nestor.;

  • 作者单位

    Clemson University.;

  • 授予单位 Clemson University.;
  • 学科 Economics Agricultural.
  • 学位 M.S.
  • 年度 2009
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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