A best-worst scaling model of climate change abatement by Australian farmers

Marit Kragt, Nikki Dumbrell, Fiona Gibson

    Research output: Chapter in Book/Conference paperConference paperpeer-review


    Storing carbon from the atmosphere in terrestrial sinks has been proposed as an important way to mitigate climate change and is a major focus in Australia's climate change policies. Mitigation by changing agricultural practices is seen as a promising way to achieve significant reductions in CO2 concentrations. Several policies therefore aim to stimulate farmers to adopt so-called 'carbon farming' practices. However, there is little information about farmers' ability and willingness to adopt carbon farming. We present a best-worst scaling model to analyse farmers' decisions about adopting climate change mitigating practices. Best-worst scaling data was collected through a survey amongst mixed crop-livestock farmers in Australia, to determine which carbon farming practices farmers would be most and least likely to adopt. Conditional logit models are estimated to assess how socio-demographic factors affect farmers' behaviour. Results suggest that farmers are most likely to adopt stubble retention and no-till cropping practices. Farmers were least likely to adopt biochar applications and tree plantations. Individual decisions were significantly influenced by respondents' opinions about climate change, and familiarity with carbon farming management. The model outcomes provide valuable inputs for future climate change abatement policies, by providing insights into the mitigation decision making process of landholders.
    Original languageEnglish
    Title of host publicationIntenational Environmental Modelling and Software Society
    Place of PublicationUnited States
    PublisherInternational Environmental Modelling and Software Society
    ISBN (Print)9788890357442
    Publication statusPublished - 2014
    Event7th International Congress on Environmental Modelling and Software - San Diego, United States
    Duration: 15 Jun 201419 Jun 2014


    Conference7th International Congress on Environmental Modelling and Software
    Country/TerritoryUnited States
    CitySan Diego


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