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Relating Forestry Investment to the Characteristics of Nonindustrial Private Forestland Owners in Northern California

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Logit regression is used to relate characteristics of nonindustrial private forestland (NIPF) owners and ownerships to the probability of forestry investment in Northern California. Full-time residence, high income, and young age are the most significant predictors of NIPF forestry investment in general. Absentee ownership, middle income, and old age are the most significant predictors of no investment. Large ownership size is the best predictor of investment that is associated with timber harvesting. The results are used to classify groups of owners by similar probability of forestry investment. Implications for the design and analysis of NIPF policy are discussed. For. Sci. 33(1):197-209.

Keywords: NIPF investment probabilities; landowner classification; policy targets

Document Type: Journal Article

Affiliations: Forest Economist, Department of Forestry and Resource Management, University of California, Berkeley, CA 94720

Publication date: March 1, 1987

More about this publication?
  • 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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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