Abstract
At its heart, forest management is grounded in valuation, with questions regarding what, how, and how much individuals value the forest being fundamental for efficient management. In this paper, we try to understand why private family forest owners value their forestland, and how owner and forest characteristics vary depending on the type of value. We estimate the demographic and socio-economic factors behind a suite of stated reasons for owning forest, from traditional market-value reasons to less-traditional, non-market reasons, among others. For our analysis, we use the United States Forest Service’s National Woodland Owner Survey (NWOS), a nationwide survey of private forest and woodland ownerships of at least one acre. We are able to identify different groupings of reasons for owning that share similar associated explanatory variables. While our results are generally in agreement with the literature, we find some notable discrepancies, such as a consistent negative association with education level and timber harvest as a reason for owning. This highlights a potential difference between stated and actual preferences. We believe that our results are useful when designing and disseminating information for policy, such as for promoting endangered species conservation or targeting individuals for enrollment in conservation easement, green certification, or cost-share programs.
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Notes
While frequent in forest economics, the consideration of multiple types of benefits, including nonmarket valuation, is more novel in mainstream resource economics (though see Barbier (2007), Bertram and Quaas (2016), Brock et al. (2010), Nelson et al. (2009), and Shanafelt et al. (2018) for exceptions).
The linkage between preferences, objectives, and behavior is intuitive, but it is far from a foregone conclusion. We know of no study in forestry or forest economics that checks for consistency between them, as doing so would likely require information on stated preferences/objectives and actual management behavior.
Starting with the work of McFadden (1974), empirical estimation of model parameters in (1) under a logistic distribution were shown to be consistent with the theory of utility maximization. This has subsequently been extended to other statistical distributions (Cameron and Trivedi 2005; Green and Hensher, 2009; Train 2009).
The Poisson, for example, assumes specific forms of the mean and variance of the data, and is not truncated at the maximum ranking (Cameron and Trivedi 2005). Alternatively, consider the multinomial logit. Unlike the ordered logit, there is no ordering in the choices as the value of the ranking increases. That is, each option can be thought of as an independent product, with the option yielding the highest utility being the one that is selected. However, by ignoring the ordered structure of the decision process in the data, this violates the assumption of independent and identically-distributed errors for each alternative: a choice is more similar to those close by than to those far away. Nonetheless, the multinomial can give reasonable estimates or be modified into a nested or mixed logit or probit to account for this fact (Cameron and Trivedi 2005; Train 2009).
Neither acreage nor the acquisition of property by purchase are significantly associated with water resources as a reason for owning, supporting the latter hypothesis, that properties with water resources are more often part of joint-share ownerships. A future study incorporating an interaction term between the number of owners and acreage/acquisition of property by purchase could explicitly test the former hypothesis.
In forestry, non-market or non-use values of the forest have long been recognized (see, for example, Hartman’s 1976 model, which considers both the harvest and recreational services). However, this is not true for mainstream resource economics, who only recently have explicitly considered non-market values in utility maximization (Barbier 2007; Bertram and Quaas 2016; Shanafelt et al. 2018).
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Shanafelt, D.W., Caputo, J., Abildtrup, J. et al. If A Tree Falls in A Forest, Why Do People Care? An Analysis of Private Family Forest Owners’ Reasons for Owning Forest in the United States National Woodland Owner Survey. Small-scale Forestry 22, 303–321 (2023). https://doi.org/10.1007/s11842-022-09530-y
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DOI: https://doi.org/10.1007/s11842-022-09530-y