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Rationalization of public forest management using multiple regression analysis - Focused on Jeonbuk Province in Korea -

  • Sang Hyun Lee*
  • , Choung Ho Shin
  • , Hyun Kim
  • , Soo Im Choi
  • , Katsuhisa Kohroki
  • *Corresponding author for this work
  • Muju County Office
  • Jeonbuk National University
  • Korea Forest Research Institute, Seoul
  • Kyushu University

Research output: Contribution to journalJournal articlepeer-review

Abstract

This study was performed regression and statistical analyses for the questionnaires provided to the forest officials and forest management guiding members to provide effective plan of public forest management. The survey was conducted during the 4 months in 2006 involving 169 forest officials and forest management guiding members working in Jeonbuk province. Among the forest operation for public forest, conservation of forest ecological system was found to be the most highly affecting work through the regression analysis and recreational forest and green tourism was the operation that is currently carried out appropriately. Forest tendering operation was selected as the prime work to be performed considering the current financial situation of local government, and recreational forest and green tourism operation was selected as the project of future public forest. This study could be used to build more systematic and circumstantial public forest management activation plans that should be found to meet the social demand on public forest.

Original languageEnglish
Pages (from-to)309-314
Number of pages6
JournalJournal of the Faculty of Agriculture, Kyushu University
Volume53
Issue number1
DOIs
StatePublished - 2008.02

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  3. SDG 15 - Life on Land
    SDG 15 Life on Land

Quacquarelli Symonds(QS) Subject Topics

  • Agriculture & Forestry
  • Biological Sciences

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