2008
DOI: 10.1016/j.jfe.2007.04.002
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Influence of purchaser perceptions and intentions on price for forest land parcels: A hedonic pricing approach

Abstract: A hedonic model was developed to analyze the market for undeveloped forest land in Minnesota. Variables describing in situ conditions, locational characteristics, buyer perceptions and intentions, and transactional terms were tested for their influence on sale price. The independent variables explained 67% of the per hectare sale price variation. Water frontage, road access and density, absentee ownership, future intentions, and financing arrangements had large, positive influences on price. Lack of a real-est… Show more

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Cited by 26 publications
(26 citation statements)
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“…For example, a study conducted in Toronto shows that the value of the park (environmental and esthetic) depends on its biodiversity (Millward and Sabir, 2011). Snyder et al (2008) examined the major factors influencing the market prices for undeveloped forest land in northern Minnesota, based on buyers' perceptions of relevant forest characteristics. One surprising result was that merchantable timber volume did not increase the property price significantly, contrary to less intuitive factors like water frontage.…”
Section: Previous Researchmentioning
confidence: 99%
“…For example, a study conducted in Toronto shows that the value of the park (environmental and esthetic) depends on its biodiversity (Millward and Sabir, 2011). Snyder et al (2008) examined the major factors influencing the market prices for undeveloped forest land in northern Minnesota, based on buyers' perceptions of relevant forest characteristics. One surprising result was that merchantable timber volume did not increase the property price significantly, contrary to less intuitive factors like water frontage.…”
Section: Previous Researchmentioning
confidence: 99%
“…Since we cannot directly observe the key components of our theoretical model, we empirically decompose forestland prices according to hedonic theory (first exposed by Rosen 1974) in order to test our hypotheses. In our context, hedonic modeling rest on the assumption that the price of a parcel of land is the sum of the unobserved prices of a bundle of attributes associated with that good (Snyder et al 2008). We thus account for heterogeneity in the quality of land and, using panel data, for changes in key attributes that we hypothesized to affect land prices (Chicoine 1981, Sills andCaviglia-Harris 2009), see details in the SM.…”
Section: Empirical Strategy and Datamentioning
confidence: 99%
“…A reduction in forest soil quality will impact on the growth of trees and biomass, etc. In this context, a study in the USA mentioned that the quality of land and tree cover, etc., led to a maximum of 17% increase in forest land prices (Snyder et al 2008). Keeping this in mind, and taking the half value of this parameter (i.e.…”
Section: Soil Protectionmentioning
confidence: 99%