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Private landowner intent to supply woody feedstock for bioenergy production

Abstract In this research, we evaluated the intent of engaged private forest landowners to supply woody biomass for bioenergy production. The study was conducted in a U.S. state (Kentucky) where private individuals own a majority (78%) of the state's forest resources. Intent of family forest owners was measured using a mail-based survey. We used the Theory of Planned Behavior to model factors that affect landowner intention, and we tested the effect of educational materials on participates' reported intent. Two-thirds of respondents indicated that they intend to include energy wood in future harvests, but the educational material treatment did not affect intentions. Respondents' attitudes, perceived subjective norms, and perceived control each had a significant effect on intent to harvest. No demographic or land ownership characteristics had an effect on behavioral intent. The only prior harvest activity that significantly increased intent was whether the subject had harvested pulpwood from their forest in the past. Respondents identified barriers that may prevent them from harvesting energy wood, providing forestry professionals with a list of challenges to overcome if supply is to be maximized. Lack of bioenergy markets and woodland access issues were the most frequently reported barriers.
- University of Kentucky United States
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).39 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
