Attitudinal and revenue effects on non-industrial private forest owners' willingness-to-harvest timber and woody biomass

Cai, Zhen; Narine, Lana L.; D’Amato, Anthony W.; Aguilar, Francisco X.

doi:10.1016/j.forpol.2015.11.007

Cited by 20 publications

(15 citation statements)

References 23 publications

(43 reference statements)

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“…The decision of forest owners to harvest/not harvest timber is guided by many factors [12,[30][31][32]. Among many variables, timber price, forest size, distance to property, ownership objectives, policy awareness, membership in a forest organization, and socio-economic factors such as age, gender, education, income, and net wealth have been emphasized in the following studies [22,31,[33][34][35]. However, their reported magnitude and statistical significance on timber harvesting intentions and intensities are not consistent across studies [30,36].…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

“…Forest property size has been stressed as an essential factor influencing NIPF owners' harvesting choices in many studies, although the direction and impact may vary based on the forest conditions [12,17,33]. A positive association between the size of the forest land and NIPF owners' intention to harvest timber was reported by [34] and [21] in the USA and Norway, respectively.…”

Section: Literature Review and Hypothesesmentioning

confidence: 99%

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Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Bashir

Sjølie

Solberg

2020

Forests

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In Norway, 84% of the productive forest is privately owned, and these forests dominate the supply of timber to industries. However, during last 80 years, annual forest growth has seen a substantial upsurge while annual timber harvest has been rather stable, generating an increasing potential for timber supply. In this study, we provide new insights to better understand Norwegian non-industrial private forest owners’ timber harvesting decisions. This was achieved by comparing the outcomes of two different statistical approaches (i.e., a combination of probit-linear models with a tobit model). These approaches are commonly applied in timber supply studies, but to the best of our knowledge have never been compared on the same dataset. The survey utilized for this study constitutes a population of Active and Inactive forest owners, based on whether the owner had harvested timber for sale during the last fifteen years. Two gross samples of 1500 and 1650 were drawn, with response rates of 56% and 49% for the Active and Inactive owner samples, respectively. The study results reveal that the average holding size varied from 25.2 ha for Inactive to 49.5 ha for both samples and 73.8 ha for Active owners. The probit model analysis indicated that knowledge of forest fund and financial objectives had the most significant impact on the willingness to harvest, with marginal effects of 11% and 12%, respectively. In the linear regression, being a male owner increased the historical timber supply by 1.48 m3 ha−1 year−1 compared to female ownership. In the second regression pathway (tobit model), the two variables male forest owner and owning forests for financial objectives triggered the supply of timber by 1.85 m3 ha−1 year−1 and 1.25 m3 ha−1 year−1, respectively. Timber prices were significant in the linear model (elasticity 1.18) and tobit model (elasticity 0.66), whereas they were non-significant in the probit model. Our study concludes that Active owners had a better understanding of acknowledging forests for economic security. Policy-makers and extension services should recognize that the Inactive forest owner group may require different actions than Active owners.

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Section: Literature Review and Hypothesesmentioning

confidence: 99%

Section: Literature Review and Hypothesesmentioning

confidence: 99%

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Bashir

Sjølie

Solberg

2020

Forests

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“…A positive relationship between forest area and timber supply engagement has been recognized in several studies (Beach et al 2005). The effect of distance between home and forest in the literature is mixed (Conway 2002;Beach et al 2005;Cai et al 2016).…”

Section: Theory and Hypothesesmentioning

confidence: 97%

“…Environmental motives, recreation, long ownership tenure and bequest motives suggested high reservation prices. Cai et al (2016) asked NIPF owners in Michigan, Minnesota and Wisconsin about their willingness to harvest timber and biomass. The most important predictors of willingness to harvest were timber and biomass prices, supporting harvest of woody biomass, interest in firewood production and intentions of future timber sales.…”

Section: Introductionmentioning

confidence: 99%

The importance of timber prices and other factors for harvest increase among non-industrial private forest owners

et al. 2019

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Increased harvest is high on the forestry and climate policy agenda in several countries. We explored to what extent private non-industrial forest owners in Norway are willing to increase harvest due to elevated hypothetical prices by carrying out a national-wide survey of forest owners. The results indicate that owners who have not harvested timber for sale the last fifteen years do not respond to large price shifts. Instead, ownership objectives and knowledge of a key policy instrument predict willingness to enter the timber market among these owners. The willingness among owners who have sold timber the last fifteen years depends on these factors, in addition to price, forest area, income and gender. Female owners were significantly less willing than male owners to increase harvest. Once the decision to harvest was taken, the stated timber supply volume per area unit decreases with productive forest area both among active and inactive owners. With regard to sources of information, owners who have not harvested timber the last fifteen years use to less extent the information sources other owners do. Forest policies and extension services should acknowledge that for stimulating forest owners outside the timber market to supply wood, other factors than price are important, and that alternative information pathways should be explored for reaching these owners.

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“…In particular, the social availability of timber resources from non-industrial private forests (NIPF) can constrain the timber supply in some regions (Becker et al 2013). The willingness to harvest trees among family forest owners, who collectively own 36% of all forestland in the United States (US) (Butler et al 2016), is affected positively by the potential to generate revenue through timber sales, and negatively by the desire to maintain aesthetic values and concerns for environmental impacts (Cai et al 2016). In general, family forest owner attitudes may reduce the availability of wood in the northeastern region of the US by an estimated 53% (Butler et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Applying Theory of Constraints to Timber Harvesting

Kelly

Germain

2019

Croat. j. for. eng. (Online)

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Logging firms are a critical link in wood supply chains, connecting forest landowners with markets for wood products. Improving operational planning can benefit individual logging firms as well as the larger wood supply chain in which they operate. Applying concepts from Theory of Constraints (TOC) to timber harvesting may help achieve greater predictability and efficiency when planning harvest operations. However, examples that demonstrate how TOC can improve logging operations are lacking. This study focuses on the analysis of production and activity data collected during the harvest of a temperate mixed hardwood forest in the Northeast United States using a chainsaw-forwarder system through a TOC lens. Specifically, the drum-buffer-rope (DBR) method was used to reschedule operator and machine activities such that a consistent flow of wood from stump to landing was maintained despite anticipated production setbacks. The results of this case study provide insights into the usefulness of applying TOC to logging operations. In particular, logging businesses must be able to estimate machine and operator productivity within a given harvest context to identify and exploit system constraints, while taking full advantage of unused capacity of any non-constraint functions.

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Attitudinal and revenue effects on non-industrial private forest owners' willingness-to-harvest timber and woody biomass

Cited by 20 publications

References 23 publications

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

Determinants of Nonindustrial Private Forest Owners’ Willingness to Harvest Timber in Norway

The importance of timber prices and other factors for harvest increase among non-industrial private forest owners

Applying Theory of Constraints to Timber Harvesting

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