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A multi-attribute decision analysis of pest management strategies for Norwegian crop farmers

  • Ming Su Lavik
  • , J Brian Hardaker
  • , Gudbrand Lien
  • , Therese W Berge

    Research output: Contribution to journal › Article › peer-review

    27 Citations (Scopus)

    Abstract

    This study provides a multi-attribute approach to support decisions by Norwegian crop farmers considering adopting innovative crop protection measures. In modelling choice among pest management strategies, we have accounted for both economic risks, risks to human health and risks to the environment. We used the Simple Multi-Attribute Rating Technique (SMART) to evaluate the results of a field trial comparing four different pest management strategies. In the trial, various pre-crops in year one were followed by two consecutive years of winter wheat. Two treatments had different levels of integrated pest management (IPM). IPM1 was the most innovative treatment and used less pesticides (i.e. herbicides, insecticides and fungicides) than IPM2. The third treatment ('Worst Case', WC) used pesticides routinely. The fourth treatment ('No Plant Protection', NPP) used no plant protection measures except one reduced dose of herbicide per year on winter wheat. Two main attributes were included in the SMART analysis, an economic indicator and a pesticide load indicator, each of which comprised a number of attributes at a subsidiary level. The results showed that the IPM1 and NPP strategies performed better than IPM2 and the WC strategies. However, the ranking of the pest management practices depended on the weighting of the two main attributes. Although the SMART analysis gave ordinal utility values, permitting only ranking of the alternatives, we were able to transform the results to measure financial differences between the alternatives.

    Original languageEnglish
    Article number102741
    Pages (from-to)1-11
    JournalAgricultural Systems
    Volume178
    Early online date23 Dec 2019
    DOIs
    Publication statusPublished - Feb 2020

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Plant diseases
    • Pesticides
    • Simple multi-attribute rating technique
    • Winter wheat
    • Agriculture, Multidisciplinary
    • Agriculture
    • Integrated Pest management
    • Multi-attribute utility theory

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