Estimation of Economic Valuation of Forest Landscape Function Using Conditional Logit Model
2010
Kim, E.G., Gyeongsang National University, Jinju, Republic of Korea | Kim, D.H., Gyeongsang National University, Jinju, Republic of Korea | Yoo, J.C., Chungbuk National University, Cheongju, Republic of Korea | Kim, M.O., Chungbuk National University, Cheongju, Republic of Korea
The purpose of this study is to estimate economic value of forest landscape function using conditional logit model, applied by Choice Experiment. For the study, we have chosen attributes and levels of forest landscape. In specific, topographical forest type, forest type, forest density, recreational factor (side trip, accessibility of valley) and WTP were included in attributes. Based on factors, we have made 48 choice sets with Balanced and Orthogonal form using SAS 9.1. The efficiency of questionnaire was 6.02 (D-Error: 0.1) and choice set and socio-economic variable were selected. In order to reduce cognitive load of respondent, 96 choice sets were divided into 4 types in questionnaire so that respondent could respond to 12 choice sets respectively. Population was citizens from 7 metropolitan cities including Seoul, and the interview survey was conducted to find out average annual WTP per household for the total 280 interviewees. As a result, In the Non-ASC model, Mcfadden' ρ had 0.21, and Log Likelihood: -2,631. Average annual WTP per household for forest landscape was 266,723 Won(Korean currency).
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