A sample selection framework that simultaneously takes into account the two-step decision-making of forest owners (first whether or not to harvest, second the level of harvesting) is applied on representative cross-sectional data for forest properties and owners in Norway. Forest management plans, property size, forested area and income from agriculture are found to increase both the propensity to harvest and the harvesting levels. Income from engagement in other outfield-related productions and debt burden increase the propensity to harvest only, while increased age impact negatively on the harvesting decision. Wage income affects both propensities to harvest and harvesting levels negatively. The results suggest that other on-property productions may stimulate harvesting decisions, while off-property income impact harvesting decisions and levels negatively.
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1 June 2008
Research Article|
June 01 2008
Analyzing determinants of forest owners’ decision-making using a sample selection framework
Stale Størdal;
Eastern Norway Research Institute
, P.O. Box 223, NO-2601 Lillehammer, Norway
Corresponding author.
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Gudbrand Lien;
Gudbrand Lien
Eastern Norway Research Institute
, P.O. Box 223, NO-2601 Lillehammer, Norway
Norwegian Agricultural Economics Research Institute
, Oslo, Norway
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Sjur Baardsen
Sjur Baardsen
Eastern Norway Research Institute
, P.O. Box 223, NO-2601 Lillehammer, Norway
Department of Ecology and Natural Resource Management,
Norwegian University of Life Sciences
, Ås, Norway
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Corresponding author.
Received:
December 13 2006
Accepted:
July 19 2007
Online ISSN: 1618-1530
Print ISSN: 1104-6899
© 2007 Elsevier GmbH
2007
Elsevier GmbH
Licensed re-use rights only
Journal of Forest Economics (2008) 14 (3): 159–176.
Article history
Received:
December 13 2006
Accepted:
July 19 2007
Citation
Størdal S, Lien G, Baardsen S (2008), "Analyzing determinants of forest owners’ decision-making using a sample selection framework". Journal of Forest Economics, Vol. 14 No. 3 pp. 159–176, doi: https://doi.org/10.1016/j.jfe.2007.07.001
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