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