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Certification of family forests: What influences owners’ awareness and participation?

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  • Creamer, Selmin F.
  • Blatner, Keith A.
  • Butler, Brett J.

Abstract

In the United States, 35% of the forestland is owned by family forest owners with approximately 0.2% of this land reported to be enrolled in a forest certification system. The current study was conducted to provide insights into factors influencing family forest owners’ decisions to certify their lands. The bivariate probit model with sample selection results suggests that receiving professional advice regarding the forestlands and having a written management or stewardship plan had the highest positive marginal effects on awareness of certification programs and participation in these programs. Non-timber objectives had negative marginal effects on awareness of certification programs.

Suggested Citation

  • Creamer, Selmin F. & Blatner, Keith A. & Butler, Brett J., 2012. "Certification of family forests: What influences owners’ awareness and participation?," Journal of Forest Economics, Elsevier, vol. 18(2), pages 131-144.
    • Handle: RePEc:eee:foreco:v:18:y:2012:i:2:p:131-144
    DOI: 10.1016/j.jfe.2011.12.001
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    Cited by:

    1. Hubert Paluš & Ján Parobek & Rastislav Šulek & Ján Lichý & Jaroslav Šálka, 2018. "Understanding Sustainable Forest Management Certification in Slovakia: Forest Owners’ Perception of Expectations, Benefits and Problems," Sustainability, MDPI, vol. 10(7), pages 1-17, July.
    2. Mutandwa, Edward & Grala, Robert K. & Grebner, Donald L., 2016. "Family forest land availability for the production of ecosystem services in Mississippi, United States," Forest Policy and Economics, Elsevier, vol. 73(C), pages 18-24.
    3. Boakye-Danquah, John & Reed, Maureen G., 2019. "The participation of non-industrial private forest owners in forest certification programs: The role and effectiveness of intermediary organisations," Forest Policy and Economics, Elsevier, vol. 100(C), pages 154-163.
    4. Bastola, Sapana & Penn, Jerrod & Blazier, Michael, 2022. "Assessing Hypothetical Bias in Nudging: Willingness to Pay for Consultation towards Improved Forest Management," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322477, Agricultural and Applied Economics Association.
    5. Ovaskainen, Ville & Hujala, Teppo & Hänninen, Harri & Mikkola, Jarmo, 2017. "Cost sharing for timber stand improvements: Inducement or crowding out of private investment?," Forest Policy and Economics, Elsevier, vol. 74(C), pages 40-48.

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    More about this item

    Keywords

    Selection model; Bivariate probit; U.S. survey data; Pacific Coast region; Southern region;
    All these keywords.

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry

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