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http://dx.doi.org/10.14578/jkfs.2016.105.3.360

Analysis of Decision Factors on the Participation of Scaling Project for Private Forest Management using a Logit Model  

Kim, Ki Dong (Forest Industry Research Division, National Institute of Forest Science)
Publication Information
Journal of Korean Society of Forest Science / v.105, no.3, 2016 , pp. 360-365 More about this Journal
Abstract
The purpose of this study is to provide the basic information for the early enforcement and extension of the improvement project of management scale of private forest land by understanding the characteristics of forest owners, who have an influence on the participation of the project as one of the private forest management vitalization plans. To achieve this goal, a questionnaire survey targeting 373 forest owners was conducted and analyzed by Binary-Logistic Regression. The variables for binary-logistic regression included gender, age, academic ability, occupation, income, residence, purpose of forest ownership, and status of cooperative membership. As a result of the analysis, 267 forest owners (71.6%) of total 373 forest owners have the intention to participate in the scaling project for private forest management. The rest of forest owners (106 forest owners, 28.4%) would not be willing to participate in the project. As a result of binary-logistic regression, the most important variables, which have an impact on the participation of private forest management scale improvement project, are age, job and forest own purpose.
Keywords
forest management; private forests; forest owners; scaling improvement; binary-logit analysis;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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