Valuing algal bloom in the Black Sea Coast of Bulgaria: A choice experiments approach

Journal of Environmental Management

Volumn 91, Issue 10, 2010, Pages 1963-1971

  Taylor, Tim ^a   Longo, Alberto ^b  

^a University of Bath   (United Kingdom)

^b QUEEN'S UNIVERSITY BELFAST   (United Kingdom)

Author keywords

Algal bloom; Bulgaria; Choice experiments; Valuation

Indexed keywords

ENVIRONMENTAL REGULATIONS; NUTRIENTS; WATER CONSERVATION; WATER QUALITY;

ALGAL BLOOMS; BLACK SEA; BULGARIA; CHOICE EXPERIMENTS; COASTAL AREA; FRAMEWORK DIRECTIVES; MARINE AREAS; SEA COAST; VALUATION; WATER FRAMEWORK DIRECTIVES;

BEACHES;

ALGAL BLOOM; CONTINGENT VALUATION; EXPERIMENTAL STUDY; QUESTIONNAIRE SURVEY; RECREATIONAL ACTIVITY; WATER QUALITY; WILLINGNESS TO PAY;

ADULT; ALGAL BLOOM; ARTICLE; BULGARIA; EUTROPHICATION; HUMAN; MALE; MARINE ENVIRONMENT; NONHUMAN; NUTRIENT AVAILABILITY; QUESTIONNAIRE; RECREATION; SEA; SEASHORE; SOCIOECONOMICS; TAX; WATER QUALITY;

BLACK SEA COAST [BULGARIA]; BULGARIA; VARNA BAY;

ALGAE;

EID: 77954383070     PISSN: 03014797     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jenvman.2010.04.007     Document Type: Article

References (34)

1. Alberini A., Longo A., Veronesi M. Basic statistical models for conjoint choice experiments. Valuing Environmental Amenities using Choice Experiments: A Common Sense Guide to Theory and Practice 2007, Springer. B. Kanninen (Ed.).
2. Bierlaire, M., 2003. BIOGEME: a free package for the estimation of discrete choice models. In: Proceedings of the 3rd Swiss Transportation Research Conference, Ascona, Switzerland. Available at http://transp-or.epfl.ch/page63023.html.
3. Brau R., Cao D. Uncovering the Macrostructure of Tourist's Preferences: A Choice Experiment Analysis of Tourism Demand to Sardinia. FEEM Working Paper 33.2006 2006, Available online from. http://www.feem.it.
4. Eggert H., Olsson B. Heterogeneous Preferences for Marine Amenities: A Choice Experiment Applied to Water Quality 2003, Working Paper, Department of Economics, Göteborg University, Sweden. http://swopec.hhs.se/gunwpe/abs/gunwpe0126.htm.
5. Greene W.H. Econometric Analysis 2008, Prentice Hall, Boston, MA, USA, p. 1216. sixth ed.
6. Gren I.-M., Elofsson K., Jannke P. Costs of nutrient reductions to the Baltic Sea. Beijer International Institute of Ecological Economics 1995, Royal Swedish Academy of Sciences, Stockholm.
7. Hanley N., Mourato S., Wright R.E. Choice modelling approaches: a superior alternative for environmental valuation?. Journal of Economic Surveys 2001, 15:435-462.
8. Hanley N., Wright R.E., Alvarez-Farizo B. Estimating the economic value of improvements in river ecology using choice experiments: an application to the Water Framework Directive. Journal of Environmental Management 2006, 78(2):183-193.
9. Hausman J., McFadden D. Specification tests for the multinomial logit model. Econometrica 1984, 52(No. 5):1219-1240.
10. Hensher D.A., Rose J.M., Greene W.H. Applied Choice Analysis: A Primer 2005, Cambridge University Press, New York.
11. James R.T., Havens K.E. Algal bloom probability in a large subtropical lake. Water Resources Bulletin 1996, 32(5):995-1006.
12. Ketsetzopoulou, M., Moncheva, I., undated. Measuring Sustainable Tourism Capacity and Development of the Coastal Zone of Black Sea Region in Bulgaria.
13. Krause-Jensen D., Carstensen J., Dahl K. Total and opportunistic algal cover in relation to environmental variables. Marine Pollution Bulletin 2007, 55:114-125.
14. Le Goffe P. The benefits of improvements in coastal water quality: a contingent approach. Journal of Environmental Management 1995, 45(no. 4):305-317.
15. Louviere J.J., Hensher D.A., Swait J.D. Stated Choice Methods: Analysis and Applications 2000, Cambridge University Press, Cambridge.
16. Markowska A., Zylicz T. Costing an international public good: the case of the Baltic Sea. Ecological Economics 1999, 30:301-316.
17. McFadden D.L. The measurement of urban travel demand. Journal of Public Economics 1974, 3:303-328.
18. McQuatters-Gollop A., Raitsos D.E., Edwards M., Pradhan Y., Mee L.D., Lavender S.J., Attrill M.J. A long-term chlorophyll data set reveals regime shift in North Sea phytoplankton biomass unconnected to nutrient trends. Limnology and Oceanography 2007, 52(2):635-648.
19. Megard R., Berman T. Effects of algae on the Secchi transparency of the southeastern Mediterranean Sea. Limnology and Oceanography 1989, 34(8):1640-1655.
20. Mitchell R.C., Carson R.T. Using Surveys to Value Public Goods: The Contingent Valuation Method 1989, Resources for the Future, Washington D.C.
21. Moncheva, S., 2005. Black Sea Case Study. Presentation to Thresholds Meeting, Kalmar.
22. Moncheva, S., 2006. Database on algal bloom events in Black Sea case study. Contribution to D3.1.1 from Thresholds Project.
23. National Statistical Institute Household budgets for the 1998-2008 period (accessed online 21.01.10.) at. http://www.nsi.bg/BudgetHome_e/BudgetHome_e.htm.
24. National Statistical Institute Labour force, employed and unemployed by place of residence and sex in 2006 (accessed online 21.01.10.) at. http://www.nsi.bg/Labour_e/Labour_e.htm.
25. OECD Family database: SF1: family size and composition Available online at. http://www.oecd.org/dataoecd/62/22/41919509.pdf.
26. Pertola S., Kuosa H., Olsonen R. Is the invasion of Prorocentrum minimum (Dinophyceae) related to the nitrogen enrichment of the Baltic Sea?. Harmful Algae 2004, 4(3):418-492.
27. Petrova D., Velikov V. The Emiliania Huxley along the Bulgarian Black Sea Coast. Proceedings of the Seventh International Conference on the Mediterranean Coastal Environment, MEDCOAST 05, 25-29 October 2005, Kusadasi, Turkey 2005, 591-600. MEDCOAST Secretariat, Ankara, Turkey. E. Ozhan (Ed.).
28. Revelt D., Train K. Incentives for Appliance Efficiency: Random Parameters Logit Models of Households' Choices 1996, Manuscript, Department of Economics, University of California, Berkeley.
29. Sandstrom M. Recreational Benefits from Improved Water Quality: A Random Utility Model of Swedish Seaside Recreation 1996, Stockholm School of Economics, Economics Research Institute, Working Paper No. 121.
30. Soderqvist T. The Benefits of Reduced Eutrophication of the Baltic Sea: a Contingent Valuation Study 1995, Stockholm School of Economics and Beijer International Institute of Ecological Economics, Stockholm.
31. Stoltel W., Scatasta S., Granéli E.1, Weikard H.P., van Ierland E. ECOHARM: The Socio-economic Impact of Harmful Algal Blooms in European Marine Waters 2003, European Commission, Brussels, (EVK3-CT-2001-80003).
32. Torres, C., Garcia, D., Riera, A., 2007. Valuing Environmental Costs of Algal Blooms: An Application to Santa Ponça Bay, Mallorca. Deliverable Report 1.4, FP6 Thresholds Project. Prepared for the European Commission.
33. Train K.E. Discrete Choice Methods with Simulation 2003, Cambridge University Press, Cambridge.
34. Wooldridge J.M. Econometric Analysis of Cross Section and Panel Data 2002, John Wiley and Sons, Chichester.