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http://dx.doi.org/10.7837/kosomes.2018.24.4.451

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

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)
Publication Information
Journal of the Korean Society of Marine Environment & Safety / v.24, no.4, 2018 , pp. 451-458 More about this Journal
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.
Keywords
Incheon coast; Specially managed sea area; Sea water quality; Choice experiment; Non-market value;
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  • Reference
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.   DOI
2 Eggert, H. and B. Olsson(2009), Valuating multi-attribute marine water quality, Marine Policy, Vol. 33, pp. 201-206.   DOI
3 Hausman, J. and D. McFadden(1984), Specification Tests for the Multinomial Logit Model, Econometrica, Vol. 52, pp. 1219-1240.   DOI
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.   DOI
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.   DOI
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.   DOI
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 McFadden, D.(1973), Conditional Logit Analysis of Qualitative Choice Behavior, In Zarembka, P. (Ed.), Frontiers in Econometrics, New York: Academic Press, pp. 105-140.
10 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.   DOI
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.   DOI
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.   DOI
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.   DOI
16 Shen, J.(2009), A Choice Experiment Approach in Evaluating public Transportation Projects, Applied Economics Letters, Vol. 16, pp. 557-561.   DOI
17 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.
18 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.   DOI
19 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.