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標題: Public views on the value of forests in relation to forestation projects—Acase study in central Taiwan
作者: Tsai-Jen Chuang
Tian-Ming Yen
關鍵字: Forest values;Reforestation in mountain area;Afforestation in lowland area;Cognitive hierarchical theory
Project: Forest Policy and Economics, Volume 78, May 2017, Pages 173-179
The purpose of this study was to understand the public's attitude toward the Reforestation in Mountain Areas(RMA) and the Afforestation in Lowland Areas (ALA) projects. Understanding the public's attitudes towardthese projects could provide critical information for forest management; furthermore, their underlying valuesand the acquired knowledge might help collect more detailed information for these projects. Out of a total of800 questionnaires, 724 valid questionnaires were obtained from July 2012 to March 2013; the study site wasin central Taiwan. A paired t-test was used to compare the perceived forest benefits between mountain and low-land areas, and one-way analysis of variance (ANOVA) was adopted to rank the different forest values in eacharea. However, the relationship between forest values, forest knowledge components and attitudes toward thetwo projects was constructed based on cognitive hierarchical theory. Logistic regressions were employed to an-alyze this relationship. The result indicated that the respondents held positive attitudes toward these two pro-jects, particularly the RMA project. Comparing the same forest values held by public in mountain and lowlandareas, the scores were higher in mountain areas, and all items showed the same pattern. Meanwhile, amongthe forest values, the external benefits were shown to have higher priority, regardless of the area. After the logis-tic regression analysis, we confirmed that people's forestvalues and forest knowledge were possible componentsfor forming their attitudes toward the two projects—for example, the RMA project was influenced by forestvalues and forest knowledge, whereas the ALA project was only influenced by forest values. Nevertheless, the lo-gistic models were shown to perform well in the cognitive hierarchical theory framework in our study.
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