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Determinants of Forest Land Prices in Northern Minnesota: A Hedonic Pricing Approach

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A hedonic price model was developed to analyze the market for undeveloped forestland in northern Minnesota. The data included 387 forestland parcels purchased in 2001 or 2002. Information describing parcel physical characteristics, amenity features, merchantable timber volume, development trends, terms of financing, and several proximity, distance, and adjacency conditions were tested for their influence on forestland prices. The model's independent variables collectively explained approximately 50% of the variation in per hectare sale price. The method by which forestland sales were financed, road access and density, proximity to population centers, and presence of lake or river frontage had the largest positive influences on per hectare sale prices. Adjacency to public land had an unexpectedly large, negative influence on sale price. Importantly, a parcel's merchantable timber volume was not found to be a significant predictor of forestland sale price. In general, forestland markets were driven by three major influences: land development pressures, presence of or close proximity to a water body, and the use of contract for deed financing.
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Keywords: forest finance; forest land prices; forest markets; hedonic analysis; price function

Document Type: Research Article

Publication date: 2007-02-01

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    Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

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    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
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