Forest owners' stand improvement decisions: Applying the Theory of Planned Behavior
Heimo Karppinen and
Sami Berghäll
Forest Policy and Economics, 2015, vol. 50, issue C, 275-284
Abstract:
Forest owners' timber stand improvement (TSI) intentions were studied by applying the Theory of Planned Behavior (TPB), which was tested by estimating structural equation models on Finnish landowner survey data (n=2116). The TPB was supported by empirical data. The subjective norm was the most important explanatory factor, and attitudes had a smaller explanatory power. Perceived behavioral control had an inhibiting influence on TSI intentions. Women's intentions were more influenced by norm pressures than men's intentions. In the youngest and oldest age cohorts, the norm pressures were clearly the most dominant explanatory factor. The more urban the residential area of the forest owner, the more important were the norm pressures from outside. From the policy point of view, the responsiveness and need for professional advice of the younger (“new”), urban and female forest owners are worth noting: the most important referent was the extension personnel of the local forest management association.
Keywords: Attitude; Family forest; Finland; Norm; SEM model; Stand improvement (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1389934114001646
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:forpol:v:50:y:2015:i:c:p:275-284
DOI: 10.1016/j.forpol.2014.09.009
Access Statistics for this article
Forest Policy and Economics is currently edited by M. Krott
More articles in Forest Policy and Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().