The value of recreational fishing in the Great Barrier Reef, Australia: A pooled revealed preference and contingent behaviour model

Marine Policy

Volumn 34, Issue 2, 2010, Pages 244-251

  Prayaga, Prabha ^a   Rolfe, John ^a   Stoeckl, Natalie ^b  

^a CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^b JAMES COOK UNIVERSITY   (Australia)

Author keywords

Contingent behaviour; Count data; Great Barrier Reef; Recreational fishing

Indexed keywords

CATCH STATISTICS; CONTINGENT VALUATION; COST-BENEFIT ANALYSIS; ECOTOURISM; ESTIMATION METHOD; FISHING; MARINE PARK; PARK MANAGEMENT; POLICY MAKING; RECREATIONAL ACTIVITY;

AUSTRALASIA; AUSTRALIA; GREAT BARRIER REEF MARINE PARK; QUEENSLAND;

EID: 70350029107     PISSN: 0308597X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.marpol.2009.07.002     Document Type: Article

References (44)

1. Russ G.R., Cheal A.J., Dolman A.M., Emslie M.J., Evans R.D., Miller I., et al. Rapid increase in fish numbers follows creation of world's largest marine reserve network. Current Biology 18 12 (2008) 514-515
2. Evans R.D., and Russ G.R. Larger biomass of targeted reef fish in no-take marine reserves on the Great Barrier Reef, Australia. Aquatic Conservation: Marine and Freshwater Ecosystems 14 5 (2004) 505-519
3. In: Henry G.W., and Lyle J.M. (Eds). The national recreational and indigenous fishing survey (2003), Australian Government Department of Agriculture, Fisheries and Forestry, Canberra
4. Asafu-Adjaye J., Brown R., and Straton A. On measuring wealth: a case study on the state of Queensland. Journal of Environment Management 75 (2005) 145-155
5. Carr L., and Mendelsohn R. Valuing coral reefs: a travel cost analysis of the Great Barrier Reef. Ambio 32 5 (2003) 353-357
6. KPMG. Economic and financial values of the Great Barrier Reef marine park (2000), GBRMPA, Townsville [contract no.: document number]
7. Haab T.C., and McConnell K.E. Valuing environmental and natural resources the econometrics of non-market valuation (2002), Edward Elgar, Cheltenham, UK
8. Hanley N., and Spash C.L. Cost-benefit analysis and the environment (1993), Edward Elgar, UK
9. Garrod G., and Willis K.G. Economic valuation of the environment (1999), Edward Elgar, UK
10. Shrestha R.K., Seidl A.F., and Moraes A.S. Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models. Ecological Economics 42 (2002) 289-299
11. Smith V.K. Taking stock of progress with travel cost recreation demand methods: theory and implementation. Marine Resource Economics 6 (1989) 279-310
12. Smith V.K. Welfare effects, omitted variables, and the extent of the market. Land Economics 69 2 (1993) 121-131
13. EVRI. The environmental valuation reference inventory, 2008 [updated 2008; cited 2008 16 July]. Available from: 〈http://www.evri.ec.gc.ca/english/default.htm〉.
14. Kaval P, Loomis JB. Updated outdoor recreation use values with emphasis on national park recreation. Colorado State University, Fort Collins: National Part Service; 2003 October. Report no.: IMDE-02-0070, contract no.: document number.
15. Johnston R.J., Ranson M.H., Besedin E.Y., and Helm E.C. What determines willingness to pay per fish? A meta-analysis of recreational fishing values. Marine Resource Economics 21 1 (2006) 1-32
16. Cameron A.C., and Trivedi P.K. Econometric models based on count data: comparisons and applications of some estimators and tests. Journal of Applied Econometrics 1 1 (1986) 29-53
17. Creel M.D., and Loomis J.B. Theoretical and empirical advantages of truncated count data estimators for analysis of deer hunting in California. American Journal of Agricultural Economics 72 (1990) 434-441
18. Grogger J.T., and Carson R.T. Models for truncated counts. Journal of Applied Econometrics 6 3 (1991) 225-238
19. Hallerstein D., and Mendelsohn R. A theoretical foundation for count data models. American Journal of Agricultural Economics 75 (1993) 604-611
20. Winkelmann R. Econometric analysis of count data. 4th ed (2003), Springer, New York
21. Shaw D. On-site samples' regression: problems of non-negative integers, truncation, and endogenous stratification. Journal of Econometrics 37 2 (1988) 211-223
22. Creel M.D., and Loomis J.B. Modeling hunting demand in the presence of a bag limit, with tests of alternative specifications. Journal of Environmental Economics and Management 22 2 (1992) 99-113
23. Eiswerth M., Englin J., Fadali E., and Shaw W.D. The value of water levels in water-based recreation: a pooled revealed preference/contingent behaviour model. Water Resources Research 36 4 (2000) 1079-1086
24. Englin J., and Shonkwiler J.S. Estimating social welfare using count data models: an application to long-run recreation demand under conditions of endogenous stratification and truncation. The Review of Economics and Statistics 77 1 (1995) 104-112
25. Englin J., and Shonkwiler J.S. Estimating social welfare using count data models: an application to long-run recreation demand under conditions of endogenous stratification and truncation. The Review of Economics and Statistics 77 1 (1995) 104-112
26. Bowker J.M., and Leeworthy V.R. Accounting for ethnicity in recreation demand: a flexible count data approach. Journal of Leisure Research 30 1 (1998) 64
27. Chakraborty K., and Keith J.E. Estimating the recreation demand and economic value of mountain biking in Moab, Utah: an application of count data models. Journal of Environmental Planning and Management 43 4 (2000) 461-469
28. Hausman J., Hall B.H., and Griliches Z. Econometric models for count data with an application to the patents-R&D relationship. Econometrica 52 4 (1984) 909-938
29. Ovaskainen V., Mikkola J., and Pouta E. Estimating recreation demand with on-site data: an application of truncated and endogenously stratified count data models. Journal of Forest Economics 7 2 (2001) 125-144
30. Morton K.M., Adamowicz W.L., and Boxall P.C. Economic effects of environmental quality change on recreational hunting in northwestern Saskatchewan: a contingent behaviour analysis. Canadian Journal of Forest Resources 25 (1995) 912-920
31. Grijalva T.C., Berrens R.P., Bohara A.K., and Shaw W.D. Testing the validity of contingent behaviour trip responses. American Journal of Agricultural Economics 84 2 (2002) 401-414
32. Englin J., and Cameron T.A. Augmenting travel cost models with contingent behaviour data poisson regression analyses with individual panel data. Environmental and Resource Economics 7 (1996) 133-147
33. Loomis J. Travel cost demand model based river recreation benefit estimates with on-site and household surveys: comparative results and a correction procedure. Water Resources Research 39 4 (2003)
34. Betz C.J., Bergstrom J.C., and Bowker J.M. A contingent trip model for estimating rail-trail demand. Journal of Environmental Planning and Management 46 1 (2003) 79-96
35. Bateman I.J. Valuation of the environment methods and techniques: revealed preference methods. In: Turner R.K. (Ed). Sustainable environmental economics and management-principles and practice (1993), Belhaven Press, London 192-233
36. Bennett J. Estimating the recreational use values of national parks. Tourism Economics 2 4 (1996) 303-320
37. Rolfe J., and Prayaga P. Estimating values for recreational fishing at freshwater dams in Queensland. Australian Journal of Agricultural and Resource Economics 51 2 (2007) 157-174
38. Ormsby J. A review of the Social, motivational and experiential characteristics of recreational anglers from Queensland and the Great Barrier Reef region. Townsville: Great Barrier Reef Marine Park Authority; 2004 February. Report no.: research publication no. 78, contract no.: document number.
39. Ditton R.B., Loomis D.K., and Choi S. Recreation specialization: re-conceptualization from a social worlds perspective. Journal of Leisure Research 19 (1992) 33-51
40. Fedler A.J., and Ditton R.B. Understanding angler motivations in fisheries management. Fisheries Management and Ecology 19 4 (1994) 6-13
41. Platten J, Sawynok B, Parsons W. How much fishing effort is there? 2005-2008 Patterns of fishing effort of recreational fishers in Central Queensland. Rockhampton: Infofish Services; 2008 September 2008. Report no.: STCR-2008-21, contract no.: document number.
42. Krinsky I., and Robb A.L. On approximating the statistical properties of elasticities. The Review of Economics and Statistics 68 4 (1986) 715-719
43. Creel M.D., and Loomis J.B. Confidence intervals for welfare measures with application to a problem of truncated counts. The Review of Economics and Statistics 73 2 (1991) 370-373
44. Loomis J. A comparison of the effect of multiple destination trips on recreation benefits as estimated by travel cost and contingent valuation methods. Journal of Leisure Research 38 1 (2006) 46-60