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Forest owner objectives typologies: instruments for each owner type or instruments for most owner types?

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  • Danley, Brian

    (CERE - the Center for Environmental and Resource Economics)

Abstract

The extensive literature on non-industrial private forest owner typologies often assumes that different forest owner types will respond to different policy instruments according to shared forest ownership objectives. Forest owner typologies using principal component analysis and subsequent k-means clustering techniques are now prolific. The surprisingly little empirical work linking forest owner objectives typologies with forest owner opinions or experiences of different policy instruments, however, shows ambiguous support for recommended targeting efforts. This study uses standard tools of analysis to investigate the relationship between private forest owners’ ownership objectives and their opinions on forest conservation policy instruments. Results show some statistically significant, but in absolute terms weak relationships between ownership objectives and Sweden’s command and control green tree retention measures, participation in voluntary forest stewardship certification, acceptance of a hypothetical financial incentive, and overall interest in taking more environmentally beneficial forest management measures. These results suggest the benefits of targeting different kinds of instruments to different kinds of ownership objectives may be limited.

Suggested Citation

  • Danley, Brian, 2019. "Forest owner objectives typologies: instruments for each owner type or instruments for most owner types?," CERE Working Papers 2019:7, CERE - the Center for Environmental and Resource Economics.
    • Handle: RePEc:hhs:slucer:2019_007
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    Citations

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    Cited by:

    1. Arnould, Maxence & Morel, Laure & Fournier, Meriem, 2021. "Developing the persona method to increase the commitment of non-industrial private forest owners in French forest policy priorities," Forest Policy and Economics, Elsevier, vol. 126(C).
    2. Hag Mo Kang & Dae Sung Lee & Soo Im Choi & Sohui Jeon & Chong Kyu Lee & Hyun Kim, 2020. "Problems and Challenges: A Private Forest Purchase Method for National Forest Expansion in South Korea," Sustainability, MDPI, vol. 12(20), pages 1-13, October.
    3. Danley, Brian & Bjärstig, Therese & Sandström, Camilla, 2021. "At the limit of volunteerism? Swedish family forest owners and two policy strategies to increase forest biodiversity," Land Use Policy, Elsevier, vol. 105(C).
    4. Arnould, Maxence & Morel, Laure & Fournier, Meriem, 2022. "Embedding non-industrial private forest owners in forest policy and bioeconomy issues using a Living Lab concept," Forest Policy and Economics, Elsevier, vol. 139(C).
    5. Ohmura, Tamaki & Creutzburg, Leonard, 2021. "Guarding the For(es)t: Sustainable economy conflicts and stakeholder preference of policy instruments," Forest Policy and Economics, Elsevier, vol. 131(C).
    6. Triplat, Matevž & Helenius, Satu & Laina, Ruben & Krajnc, Nike & Kronholm, Thomas & Ženko, Zdenka & Hujala, Teppo, 2023. "Private forest owner willingness to mobilise wood from dense, small-diameter tree stands," Forest Policy and Economics, Elsevier, vol. 148(C).

    More about this item

    Keywords

    forest policy; k-means cluster analysis; non-industrial private forest owners;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy

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