Application of Benefit Transfer Method to Estimate the Willingness-to-pay in Planning the Construction of the Integrated Sewerage System at the Catchment Areas of Dams

댐상류지역 하수도시설 확충사업에 관한 지불의사액 추정을 위한 편익전환기법의 적용

  • 정동환 (국립환경과학원 환경진단연구부) ;
  • 진영선 (고려대학교 경영학과) ;
  • 박규홍 (중앙대학교 토목공학과)
  • Published : 2006.01.31

Abstract

Benefit transfer is a method, which obtains an estimate for the economic valuation of non-marketed commodities at a given site through the analysis of studies that have been previously carried out to value similar commodities at a different location. The objective of this study was to estimate benefit transfer values for the construction of the integrated sewerage system in the catchment area of dams in Korea. For pooled data analysis, five models were suggested in this study. Among five models, model 2 showed only 6 to 7% errors when the willingness-to-pay(WTP) predicted in the policy-site, Dam Soyang was compared with that estimated using contingent valuation method(CVM) in the study-sites, Dams Namgang, Hapcheon, and Daecheong. However, the WTP estimate predicted by model 1 showed the absolute errors of 42 to 47% when it was compared with WTP estimated using CVM in Dams Andong and Imha. It seemed that residents of Dams Andong and Imha have feeling of being victimized since two dams were constructed very adjacently, the upstream area was designated as drinking water source protection zone, and thereafter their developmental economical actions have been significantly restricted.

편익전환기법은 다른 지역에서 이미 수행하였던 비시장성 재화의 가치 평가 사례를 분석하여 주어진 지역(정책집행 대상지역)에서의 유사한 재화의 경제적 가치 추정치를 구하는 방법이다. 본 연구의 목적은 우리나라 댐상류지역의 수계에서 하수도시설 확충사업에 대한 편익전환 가치를 추정하는 것이다. 본 연구에서 종합자료분석을 위해 5개 모형을 가정하였다. 5개 모형 중에서 모형 2의 경우 남강 합천 대청댐을 연구지역으로 하여 조건부가치측정법을 사용하여 추정한 지불의사액과 소양댐을 정책집행 대상지역으로 예측한 지불의사액 추정치를 비교한 절대오차는 $6{\sim}7%$로 좋은 결과가 나타났다. 그러나, 모형 1의 경우 안동 임하댐의 조건부가치측정법을 사용하여 추정한 지불의사액과 비교하였을 때 예측된 지불의사액 추정치의 절대오차는 $42{\sim}47%$로 나타났다. 안동 임하댐의 주민들은 인근 지역에 2개의 댐이 만들어졌고, 이들 댐상류지역이 상수원 보호구역으로 지정되어 경제적 활동에서 피해를 받고 있다고 생각하기 때문이다.

Keywords

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