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Are foresters really risk-averse? A multi-method analysis and a cross-occupational comparison

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  • Sauter, Philipp A.
  • Hermann, Daniel
  • Mußhoff, Oliver

Abstract

Foresters often find themselves facing economic decisions that are characterized by risk. For understanding and modelling their decisions, as well as tailored policy-making, detailed knowledge on risk attitudes is of upmost importance. However, evidence on foresters' risk attitudes is rare. Therefore, this study aims to provide in-depth knowledge on foresters' risk attitudes. For robust results, we apply two different incentivised online experiments including a Holt and Laury task (HL) and an Eckel and Grossman (EG) task as well as a self-assessment question (SA). The multi-method comparison additionally allows for testing on the consistency of these established risk measurement tasks. Furthermore, we compare foresters' risk attitudes with the well-analysed risk attitudes of farmers. Our results show that foresters are predominantly risk-averse. Self-employed foresters are more risk-averse than self-employed farmers, which should be accounted for when designing adequate policy measures. The analysis of risk attitude measurement methods reveal that the EG values correlate with the HL values across both groups, although risk-aversion coefficients differ in their magnitude. Thus, the two experimental methods are consistent in relative terms, and across occupational groups.

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  • Sauter, Philipp A. & Hermann, Daniel & Mußhoff, Oliver, 2018. "Are foresters really risk-averse? A multi-method analysis and a cross-occupational comparison," Forest Policy and Economics, Elsevier, vol. 95(C), pages 37-45.
  • Handle: RePEc:eee:forpol:v:95:y:2018:i:c:p:37-45
    DOI: 10.1016/j.forpol.2018.07.007
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    Cited by:

    1. Patrice Loisel & Marielle Brunette & Stéphane Couture, 2020. "Insurance and Forest Rotation Decisions Under Storm Risk," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(2), pages 347-367, July.
    2. Feng, Xin & Dai, Yongwu, 2019. "An innovative type of forest insurance in China based on the robust approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 23-32.
    3. M. Brunette & M. Hanewinkel & R. Yousefpour, 2020. "Risk aversion hinders forestry professionals to adapt to climate change," Climatic Change, Springer, vol. 162(4), pages 2157-2180, October.
    4. Michels, Marius & Wever, Hendrik & Musshoff, Oliver, 2023. "Drones take flight in forests: Uncovering the ‘tree’-mendous potential and ‘timber’-rific challenges for German forest managers by applying the technology acceptance model," Forest Policy and Economics, Elsevier, vol. 157(C).

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