Abstract
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' ${\rho}$ had 0.21, and Log Likelihood: -2,631. Average annual WTP per household for forest landscape was 266,723 Won(Korean currency).
이 연구의 목적은 선택실험기법을 활용한 조건부 로짓 모델을 이용하여 산림경관기능이 가지는 경제적 가치를 추정하는데 있다. 이를 위해 산림경관의 속성과 수준을 선정하였는데, 속성은 산림형태, 임상, 소밀도, 휴양적 요소, 지불의사금액 등이 그것이다. 이를 토대로 SAS 9.1을 이용하여 Orthogonal과 Balanced를 이루는 96개 선택 집합을 4개 타입으로 구성하였으며, 서울을 포함한 7개 광역시 시민을 모집단으로 설정하여 연간 가구당 지불할 의사를 면접조사방법으로 총 280부를 조사하였다. 그 결과, Non-ASC 모형에서 Mcfadden' ${\rho}$는 0.21, 우도통계량은 -2,631로 나타났다. 그리고 산림경관에 대한 가구당 평균 지불의사금액은 266,723원으로 나타났다.
