Journal of the Korean Society of Marine Environment & Safety (해양환경안전학회지)

The Korean Society of Marine Environment and safety (해양환경안전학회)
권호 표지
DOI QR코드

DOI QR Code

Using a Choice Experiment to Measure the Non-market Value of Sea Water Quality with a Focus on the Incheon Special Area Management Plan

선택실험법을 이용한 해역수질 속성의 비시장적 가치 추정: 인천특별관리해역을 중심으로

  • Jin, Se-Jun (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology) ;
  • Park, So-Yeon (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology) ;
  • Yoo, Seung-Hoon (Department of Energy Policy, Graduate School of Energy & Environment, Seoul National University of Science & Technology)
  • 진세준 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 박소연 (서울과학기술대학교 에너지환경대학원 에너지정책학과) ;
  • 유승훈 (서울과학기술대학교 에너지환경대학원 에너지정책학과)
  • Received : 2018.04.23
  • Accepted : 2018.06.27
  • Published : 2018.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

The coast of Incheon reaches Incheon itself, Gimpo, Siheung, and Ansan of Gyunggi-do. Because this area has been seriously polluted, the Ministry of Oceans and Fisheries has established the Incheon Special Area Management Plan (SAMP) to preserve sea water quality as a marine environment asset. However, there is concern that actions taken in this area may change the surrounding marine ecology, being effected by farms, via a river that flows from waste lands, abandoned fishing activities and fishing nets, etc. Given this background, this study estimates the value of SAMP sea water quality using a choice experiment (CE). A CE survey of 1,000 households was undertaken, investigating trade-offs involving price and four attributes for selecting a preferred alternative to obtain a marginal willingness to pay (MWTP) estimate for each attribute. The estimation results showed that MWTP for a 1 %p improvement in sea water quality, the diversity of fauna species, the diversity of flora species, and a 1 %p reduction in marine litter as a result of conserving Incheon coastal sea water quality are estimated to be KRW 75, 135, 309 and 72 per household per year, respectively. All estimation results were statistically significant at the 1 % level. These findings can provide policy makers with useful information for evaluating and planning marine environmental management policies.

인천연안은 인천광역시, 경기도 김포시 시흥시 안산시 일대로, 양식장에서 발생하는 쓰레기, 어업활동 후 버려진 어구 어망, 육상에서부터 한강을 타고 흘러오는 쓰레기 때문에 인천연안의 해양생태계의 변화가 우려되고 있다. 인천연안이 심각하게 오염되자 해양수산부는 인천연안을 특별관리해역으로 지정하여 해양환경 자산인 해역수질을 보존하고 있다. 이러한 배경 하에서 본 연구는 인천연안 해역수질의 비시장 가치를 선택실험법(choice experiment)을 이용하여 평가한다. 이를 위해, 전국 1,000 가구를 대상으로 면대면 설문조사를 실시하였고, 속성 각각의 한계지불의사액(MWTP, marginal willingness to pay)을 추정한다. 인천연안 해역수질의 속성별 가치(가구당 연간 한계지불의사액)를 추정한 결과, 가구당 연간 해역수질 1 %p 개선의 MWTP는 75원, 동물종의 다양성 증가의 MWTP는 135원, 식물종 다양성 증가의 MWTP는 309원, 해양쓰레기 1 %p 저감의 MWTP는 72원으로 나타났다. 모든 추정결과는 유의수준 1 %에서 유의한 것으로 나타났다. 본 논문의 주요 결과는 정책당국에 해양환경 관리정책 수립과 평가에 유용하게 활용될 수 있다.

Keywords

References

  1. Aizaki, H., M. Sawada, K. Sato and T. Kikkawa(2012), A Noncompensatory Choice Experiment Analysis of Japanese Consumers' Purchase Preferences for Beef, Applied Economics Letters, Vol. 19, pp. 439-444. https://doi.org/10.1080/13504851.2011.583207
  2. Eggert, H. and B. Olsson(2009), Valuating multi-attribute marine water quality, Marine Policy, Vol. 33, pp. 201-206. https://doi.org/10.1016/j.marpol.2008.05.011
  3. Hausman, J. and D. McFadden(1984), Specification Tests for the Multinomial Logit Model, Econometrica, Vol. 52, pp. 1219-1240. https://doi.org/10.2307/1910997
  4. Hynes, S., A. Tinch and N Hanley(2013), Valuing improvements to coastal waters using choice experiments: An application to revisions of the EU Bathing Waters Directive, Marine Policy, Vol. 40, pp. 137-144. https://doi.org/10.1016/j.marpol.2012.12.035
  5. Jin, S. J., S. Y. Lim, S. H. Park and S. H. Yoo(2014), Measuring the Scientific Benefits from the Deep-sea Humanoperated Vehicle Project: A Choice Experiment Study, Ocean and Polar Research, Vol. 36, pp. 277-288. https://doi.org/10.4217/OPR.2014.36.3.277
  6. Kim, H. J, S. Y. Lim and S. H. Yoo(2016), The Non-Market Benefits of Expanding Organic Waste-to-Energy Facilities: A Choice Experiment Study, Korea Environmental Policy, Vol. 24(4), pp. 103-119.
  7. Krinsky, I. and A. Robb(1986), On Approximating the Statistical Properties of elasticities, Review of Economics and Statistics, Vol. 68, pp. 715-719. https://doi.org/10.2307/1924536
  8. Kwak, S. J, S. H. Yoo and J. I. Chang(2006), Valuing the Han-river Estuary: Using Conjoint Analysis, The Korean Economic Review, Vol. 54(4), pp. 141-161.
  9. Lim, S. Y., K. M. Lim and S. H. Yoo(2014), External Benefits of Waste-to-energy in Korea: A Choice Experiment Study, Renewable & Sustainable Energy Reviews, Vol. 34, pp. 588-595. https://doi.org/10.1016/j.rser.2014.03.045
  10. McFadden, D.(1973), Conditional Logit Analysis of Qualitative Choice Behavior, In Zarembka, P. (Ed.), Frontiers in Econometrics, New York: Academic Press, pp. 105-140.
  11. McFadden, D.(1978), Modeling the Choice of Residential Location, In Karlquist, A., L. Lundquist, F. Snikars, and J. W. Weibull (Eds.), Spatial Interaction Theory and Planning Models, Amsterdam: North-Holland, pp. 75-96.
  12. Ministry of Environment(1997), White Paper of Environment, p. 360.
  13. Park, T., J. B. Loomis and M. Creel(1991), Confidence Intervals for Evaluating Benefits from Dichotomous Choice Contingent Valuation Studies, Land Economics, Vol. 67, pp. 64-73. https://doi.org/10.2307/3146486
  14. Peng, M. and K. L. L. Oleson(2017), Beach Recreationalists' Willingness to Pay and Economic Implications of Coastal Water Quality Problems in Hawaii, Ecological Economics, Vol. 136, pp. 41-52. https://doi.org/10.1016/j.ecolecon.2017.02.003
  15. Phelps, R. H. and J. Shanteau(1978), Livestock Judges: How Much Information Can an Expert Use?, Organizational Behavior and Human Performance, Vol. 21, pp. 209-219. https://doi.org/10.1016/0030-5073(78)90050-8
  16. Shen, J.(2009), A Choice Experiment Approach in Evaluating public Transportation Projects, Applied Economics Letters, Vol. 16, pp. 557-561. https://doi.org/10.1080/13504850701206502
  17. Tuhkanen, H., E. Piirsalu, T. Nommann, A. Karloseva, S. Nommann, M. Czajkowski and N. Hanley(2016), Valuing the benefits of improved marine environmental quality under multiple stressors, Science of The Total Environment, Vol. 551-552, pp. 367-375. https://doi.org/10.1016/j.scitotenv.2016.02.011
  18. World Wildlife Fund(2015), Living Blue Planet Report: Species, habitats and human well-being, Tanzer, J., Phua, C., Lawrence, A., Gonzales, A., Roxburgh, T. and P. Gamblin (Eds), WWF, Gland, Switzerland, 6, p. 24.
  19. Yoo, S. H., S. J. Kwak. and J. S. Lee(2008), Using a Choice Experiment to Measure the Environmental Costs of Air Pollution Impacts in Seoul, Journal of Environmental Management, Vol. 86, pp. 308-318.