Results of Two Non-Market Valuation Methods Used to Estimate Recreational Fishing in the Lakes Prespa Watershed

  • Dorina GRAZHDANI Department of Agribusiness Management, Faculty of Economy, and Agribusiness, Agricultural University of Tirana, Albania

Abstract

Using both the travel cost and contingent valuation methods, a case study of Lakes Prespa was utilized to assess the demand functions for carp and non-carp angling separately. An on-site survey questionnaire was used to collect the data, which was completed in 2019. The results showed that when travel costs and bid amounts are higher or when anglers are traveling in larger groups, they travel less frequently. On the other hand, the number of trips is positively correlated with income, angling experience, the use of a motorized boat, the number of trips taken to other sites, and retirement. The mean daily consumer surplus values for carp and non-carp anglers were calculated to be €7.24 and €4.33, respectively, using the trip cost method, and €7.83 and €4.61 using the contingent valuation method. Regardless of the method of valuation utilized, carp anglers' consumer surplus was more than 1.7 times that of non-carp anglers, demonstrating that ordering in fish species values is robust to valuation methods. Furthermore, the convergent validity of the two techniques was identified. The results will help fisheries managers make more successful and resource-efficient fishing decisions, as well as policymakers justify funding initiatives targeted at managing and protecting this resource.

References

[1] Adamowicz, W., Louviere, J., and Williams, M. 1994. Combining revealed and stated preference methods for valuing environmental amenities. Journal of Environmental Economics and Management, 26: 271–292. DOI:https://doi.org/10.1006/jeem
[2] Ahn, S., Steiguer, J.E., Palmquist, R.B., and Holmes T.P. 2000. Economic analysis of the potential impact of climate change on recreational trout fishing in the southern Appalachian Mountains: An application of a nested multinomial logit model. Climatic Change, 45: 493-509. DOI:https://doi.org/10.1023/A:1005511627247
[3] Alberini, A., and Cooper, J. 2000. Applications of the contingent valuation method in developing countries—a survey. FAO economic and social development paper 146. Rome, Italy: UN FAO, 68 pp.
[4] Alberini, A., Boyle, K., and Welsh, M. 2003. Analysis of contingent valuation data with multiple bids and response options allowing respondents to express uncertainty. Journal of Environmental Economics and Management, 45: 40–62. Available at: http://www.sciencedirect.com/science/article/pii/S0095-0696(02)00010-4
[5] Arismendi, I., and Nahuelhual, I. 2007. Non-native salmon and carp recreational fishing in Lake Llanquihue, southern Chile: economic benefits and management implications. Reviews in Fisheries Science, 15: 311–325. DOI: https://doi.org/10.1080/10641260701484655
[6] Arlinghaus, R., and Mehner, T. 2005. Determinants of management preferences of recreational anglers in Germany: Habitat management versus fish stocking. Limnologica, 35: 2–17. DOI:https://doi.org/10.1016/j.limno.2004.10.001
[7] Azevedo, C.D., Herriges, J.A., and Kling, C.L. 2003. Combining revealed and stated preferences: Consistency tests and their interpretations. American Journal of Agricultural Economics, 85(3): 525–537. DOI: https://doi.org/10.1111/1467-8276.00453
[8] Bertram, C., and Larondelle, N. 2017. Going to the woods is going home: Recreational benefits of a larger urban forest site –a travel cost analysis for Berlin, Germany. Ecological Economics, 132: 255–263. DOI:https://doi.org/10.1016/j.ecolecon.2016.10.017
[9] Besedin, E., Mazzotta, M., Cacela, D., and Tudor, L. 2004. Combining ecological and economic analysis: an application to valuation of power plant impacts on great lakes recreational fishing. Paper presented at American fisheries society meeting symposium: socio-economics and extension: empowering people in fisheries conservation, Madison, WI.
[10] Betz, C.J., Bergstrom, J.C., and Bowker, J.M. 2003. A Contingent Trip Model for Estimating Rail-trail Demand. Journal of Environmental Planning and Management, 46(1): 79–96. DOI: 10.1080/713676704
[11] Bin, O., Landry, C.E., Ellis, C.L., and Vogelsong, H. 2005. Some consumer surplus estimates for North Carolina beaches. Marine Resource Economics, 20(2): 145–161. DOI:https://doi.org/10.1086/mre.20.2.42629466
[12] Bowker, J.M., Bergstrom, J.C., and Gill, J. 2007. Estimating the Economic Value and Impacts of Recreation Trails: A Case Study of the Virginia Creeper Rail Trail. Tourism Economics, 13(2): 241–260.
[13] Brander, L.M., Florax, J.G.M. Raymond, and Vermaat, E. Jan. 2006. The empirics of wetland valuation: a comprehensive summary and meta-analysis of the literature. Environmental and Resource Economics, 33(2): 223–250. DOI: 10.1007/s10640-005-3104-4
[14] Brander, L.M., van Beukering, P., and Cesar, H.S. 2007. The recreational value of coral reefs: a meta-analysis. Ecological Economics, 63: 209–218. DOI: https://doi.org/10.1016/j.ecolecon.2006.11.002
[15] Cameron, A. Colin, and Trivedi, P.K. 2013. Regression analysis of count data (2nd Edition). Cambridge university press, Cambridge, 567. DOI: https://doi.org/10.1017/CBO9781139013567
[16] Chizinski, C.J., Pope, K.L., Willis, D.B., Wilde, G.R., and Rossman, E.J. 2005. Economic value of angling at a reservoir with low visitation. North American Journal of Fisheries Management, 25: 98–104. DOI:https://doi.org/10.1577/M03-102.1
[17] Curtis, J.A. 2002. Estimating the Demand for Salmon Angling in Ireland. The Economic and Social Review, 33(3): 319–332. Available at: http://hdl.handle.net/2262/59840
[18] Curtis, J.A., and Breen, B. 2016. Fisheries management for different angler types, ESRI Working Paper, No. 529. Dublin: The Economic and Social Research Institute (ESRI), 18 pp.
[19] Curtis, J.A., and Breen, B. 2017. Irish coarse and game anglers’ preferences for fishing site attributes. Fisheries Research, 190: 103–112. DOI: https://doi.org/10.1016/j.fishres.2017.01.016
[20] Curtis, J.A., and Stanley, B. 2016. Water quality and recreational angling demand in Ireland. Journal of Outdoor Recreation and Tourism, 14: 27–34. DOI: https://doi.org/10.1016/j.jort.2016.04.005
[21] Czajkowski, M., Giergiczny, M., Kronenberg, J., and Tryjanowski, P. 2014. The economic recreational value of a white stork nesting colony: A case of ’stork village’ in Poland. Tourism Management, 40: 352–360. DOI:10.1016/j.tourman.2013.07.009
[22] Dillman, D.A., Smyth, J.D., and Christian, L.M. 2007. Mail and Internet Survey – The Tailored Design Method (second ed). New York: John Wiley and Sons Inc., 512 pp.
[23] Dorison, A.M. 2012. Estimating the economic value of trout angling in Georgia: A travel cost model approach. Master of Science Thesis. University of Georgia, Athens, Georgia, 149 pp.
[24] du Preez, M., and Hosking, S.G. 2011. The value of the trout fishery at Rhodes, North Eastern Cape, South Africa: A travel cost analysis using count data models. Journal of Environmental Planning and Management, 54(2): 267–282. DOI: https://doi.org/10.1080/09640568.2010.505837
[25] Englin, J., and Shonkwiler, J.S. 1995. 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): 104–112. DOI: https://doi.org/10.2307/2109996
[26] Ezebilo, E.E. 2016. Economic value of a non-market ecosystem service: an application of the travel cost method to nature recreation in Sweden. International Journal of Biodiversity Science, Ecosystem Services and Management, 12(4): 314–327. DOI: https://doi.org/10.1080/21513732.2016.1202322
[27] Ferrer, O., Dibble, E.D., Jackson, D.C., and Rundle, K.R. 2005. Angling assessment of the fisheries of Humacao Natural Reserve lagoon system, Puerto Rico. Fisheries Research, 76: 81–90. DOI:10.1016/j.fishres.2005.05.010
[28] Fink, A. 2013. How to Conduct Surveys: A Step-by-Step Guide (sixth ed.). Thousand Oaks, CA: Sage Publications Inc., 224 pp.
[29] Fletcher, J.J., Adamowicz, W.L., and Graham-Tomasi, T. 1990. The travel cost model of recreation demand: theoretical and empirical issues. Leisure Sciences, 12(1): 119–147. DOI:https://doi.org/10.1080/01490409009513093
[30] Fremuth, W., and Shumka, S. 2013. Management Plan of the Prespa National Park in Albania (2014–2024). Tirana, Albania: NewPolitics, 159 pp.
[31] Garrod, G., and Willis, G.K. 1999. Economic Valuation of the Environment. Cheltenham, UK: Edward Elgar, 400 pp.
[32] Genius, M., Strazzera, E., Scarpa, R., and Hutchinson, G.W. 2003. The effect of protest votes on the estimates of WTP for use values of recreational sites. Environmental and Resource Economics, 25: 461–476. DOI: 10.1023/A: 1025098431440
[33] Gillespie, R., Collins, D., and Bennett, J. 2017. Adapting the travel cost method to estimate changes in recreation benefits in the Hawkesbury–Nepean River. Australasian Journal of Environmental Management, 24(4): 375–391. DOI: https://doi.org/10.1080/14486563.2017.1354236
[34] Gillig, D., Woodward, R.T., Ozuna, T.Jr., and Griffin, W.L. 2003. Joint Estimation of Revealed and Stated Preference Data: An application to recreational red snapper valuation. Agricultural and Resource Economics Review, 32(2): 209–221. DOI: https://doi.org/10.1017/S1068280500005980
[35] Grantham, R., and Rudd, Mu. 2015. Current status and future needs of economics research of inland fisheries. Fisheries management and ecology, 22(6): 458–471. DOI: https://doi.org/10.1111/fme.12144
[36] Grazhdani, D. 2009. Social Economic Aspects of Fishery and Fishing Activities in Albanian Part of Prespa Lakes. J. Int. Environmental Application and Science, 4 (3): 253–259.
[37] Grazhdani, D. 2014a. An approach for assessing ecosystem services with application in a protected area case study: Al-Prespa. Bulgarian Journal of Agricultural Sciences, 20: 118–124.
[38] Grazhdani, D. 2014b. Integrating ecosystem services into assessment of different management options in a protected area: a deliberate multi-criteria decision analysis approach. Bulgarian Journal of Agricultural Science, 20(6): 1311–1319.
[39] Grazhdani, D. 2015. Contingent valuation of residents' attitudes and willingness to pay for non-point source pollution control: A case study in AL–Prespa, southeastern Albania. Environment Management, 56(1): 81–93. DOI: 10.1007/s00267-015-0480-6
[40] Grazhdani, D. 2016. Assessing the variables affecting on the rate of solid waste generation and recycling: An empirical analysis in Prespa Park. Waste management, 48: 3–13. DOI:https://doi.org/10.1016/j.wasman.2015.09.028
[41] Grazhdani, D. 2021a. Residents’ willingness to pay for entrance fee in Albanian part of Prespa Park (AL-Prespa): A contingent valuation approach. In proceedings of 2nd International Conference “The Holistic Approach to Environment”, Sisak Croatia, May 28th, 2021 (Virtual conference), pp. 183–194.
[42] Grazhdani, D. 2021b. Assessing the impacts of non-point source pollution affected by human activities in lakes water quality in AL-Prespa watershed. In proceedings of 2nd INTERNATIONAL CONFERENCE “The Holistic Approach to Environment”, Sisak Croatia, May 28th, 2021 (Virtual conference), pp. 167–182.
[43] Grazhdani, D. 2023. An Approach for Managing Landscapes for a Variety of Ecosystem Services in Prespa Lakes Watershed. Hydrobiology, 2(1): 134–149. DOI: https://doi.org/10.3390/hydrobiology2010008
[44] Greene, H.W. 2007. Econometric Analysis (Sixth Ed.). New York: Pearson Prentice Hall Publishing, 1239 pp.
[45] Grilli, G., Landgraf, G., Curtis, J., and Hynes, S. 2017. The: A travel cost method estimation of demand for two destination salmon rivers in Ireland. ESRI Working Paper, No. 570. Dublin: The Economic and Social Research Institute (ESRI), 14 pp.
[46] Grogger, J. T., and Carson, R.T. 1991. Models for truncated counts. Journal of Applied Econometrics, 6(3): 225–238.
[47] Haab, T, and McConnell, K. 2002. Valuing Environmental and Natural Resources: Econometrics of Non-Market Valuation. Cheltenham, UK: Edward Elgar, 355 pp.
[48] Hanemann, W.M. 1994. Valuing the Environment through Contingent Valuation. Journal of Economic Perspectives, 8(4): 19–43. DOI: 10.1257/jep.8.4.19
[49] Hanley, N., and Barbier, E.B. 2009. Pricing nature: cost-benefit analysis and environmental policy. Cheltenham, UK: Edward Elgar Publishing, 360 pp.
[50] He, X. 2014. The convergence of welfare estimates employing travel cost and contingent valuation methods: Evidence from New York state anglers. Master of Science Thesis. Faculty of the Graduate School of Cornell University, 110 pp.
[51] Hellerstein, D.M. 1991. Using count data models in travel cost analysis with aggregate data. American journal of agricultural economics, 73(3): 860–866. DOI: https://doi.org/10.2307/1242838
[52] Hellerstein, D.M., and Mendelsohn, R. 1993. A theoretical foundation for count data models. American Journal of Agricultural Economics, 75(3): 604–611. DOI:10.2307/1243567
[53] Hilbe, J.M. 2011. Negative binomial regression (2nd edition). Cambridge, UK: Cambridge University Press, 570 pp.
[54] Hindsley, P., Landry, C.E., and Gentner, B. 2011. Addressing onsite sampling in recreation site choice models. Journal of Environmental Economics and Management, 62(1): 95–110. Available at: http://www.sciencedirect.com/science/article/pii/S0095069611000271
[55] Hunt, L.M., Boxall, P., Englin, J., and Haider, W. 2005. Forest harvesting, resource-based tourism, and remoteness: An analysis of northern Ontario’s sport fishing tourism. Canadian Journal of Forest Resources, 35: 401–409. DOI: 10.1139/x04-184
[56] Hynes, S., and Greene, W. 2013. A panel travel cost model accounting for endogenous stratification and truncation: A latent class approach. Land Economics, 89(1): 177–192. Available at: http://hdl.handle.net/20.500.11937/53353
[57] Hynes, S., Gaeven, R., and O’Reilly, P. 2017. Estimating a total demand function for sea angling pursuits. Ecological Economics, 134: 73–81. DOI: 10.1016/j.ecolecon.2016.12.024
[58] Hynes, S., O’Reilly, P., and Corless, R. 2015. An on-site versus a household survey approach to modelling the demand for recreational angling: Do welfare estimates differ? Ecosystem Services, 16: 136–145. DOI:10.1016/j.ecoser.2015.10.013
[59] Johnston, R.J., Ranson, M.H., Besedin, E.Y., and Helm, E.C. 2006. What determines willingness to pay per fish? A meta-analysis of recreational fishing values. Marine Resource Economics, 21: 1–32. DOI: 10.1086/mre.21.1.42629492
[60] Kerkvliet, J., and Nowell, C. 2000. Tools for recreation management in parks: the case of the greater Yellowstone’s blue-ribbon fishery. Ecological Economics, 34: 89–100. DOI: 10.1016/S0921-8009(00)00139-7
[61] Khan, M.J. 2014. Testing the convergent validity of contingent valuation and travel cost methods for valuing the recreational fisheries in New Your state. Master of Science thesis. Faculty of the Graduate School of Cornell University, 97 pp.
[62] Kline, P. 1999. The handbook of psychological testing (2nd ed.). London: Routledge, 744 pp.
[63] Lansdell, N., and Gangadharan, L. 2003. Comparing travel cost models and the precision of their consumer surplus estimates: Albert Park and Maroondah Reservoir. Australian Economic Papers, 42(4): 399–417. DOI:https://doi.org/10.1111/1467-8454.00207
[64] Lew, D.K., and Larson, D.M. 2012. Economic values for saltwater sport fishing in Alaska: A stated preference analysis. North American journal of fisheries management, 32(4): 745–759. DOI:10.1080/02755947.2012.681012
[65] Loomis, J.B, and Ng, K. 2012. Comparing economic values of trout anglers and non-trout anglers in Colorado's stocked public reservoirs. North American Journal of Fisheries Management, 32(2): 202–210. DOI: 10.1080/02755947.2012.662089
[66] Loomis, J.B. 2003. 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): 1105. DOI: https://doi.org/10.1029/2002WR001832
[67] Loomis, J.B. 2006. 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): 46–62. DOI:https://doi.org/10.1080/00222216.2006.11950068
[68] Loomis, J.B., Sorg, C.F., and Donnelly, D.M. 1986. Evaluating regional demand models for estimating recreation use and economic benefits: A case study. Water Resources Research, 22(4): 431–438. DOI:https://doi.org/10.1029/WR022i004p00431
[69] Lothrop, L.R, Hanson, T.R., Sammons, S.M., Hite, D., and Maceina, M.J. 2014. Economic impact of a recreational Striped Bass fishery. North American Journal of Fisheries Management, 34(2): 301–310.
[70] Lupi, F., Hoehn, J.P., Chen, H.Z., and Tomasi, D.T. 1998. The Michigan recreational angling demand model. Michigan State University and the Michigan Department of Natural Resources and Department of Environmental Quality. Michigan: East Lansing, 10 pp.
[71] Martínez-Espiñeira, R., and Amoako-Tuffour, J. 2008. Recreation demand analysis under truncation, overdispersion, and endogenous stratification: An application to Gros Morne National Park. Journal of Environmental Management, 88(4): 1320–1332. DOI: https://doi.org/10.1016/j.jenvman.2007.07.006
[72] Mitchell, R.C., and Carson, R.T. 1989. Using Surveys to Value Public Goods: The Contingent Valuation Method. Washington DC: Resources for the Future, 484 pp.
[73] Nakatani, T., and Sato, K. 2010. Truncation and endogenous stratification in various count data models for recreation demand analysis. Journal of Development and Agricultural Economics, 2(1): 293–303.
[74] Nardi, P.M. 2013. Doing Survey Research: A Guide to Quantitative Methods (third ed.).‎ New York: Routledge, 274 pp.
[75] Navrud, S., and Mungatana, E.D. 1994. Environmental valuation in developing countries: the recreational value of wildlife viewing. Ecological Economics, 11: 135–151. DOI: 10.1016/0921-8009(94)90024-8
[76] Ng, K. 2011. Valuing economic benefits of water's ecosystem services with non-market valuation methods and regional input-output model. Doctoral dissertation. Colorado State University, 196 pp.
[77] Oh, C., Ditton, R.B., Anderson, D.K., Scott, D., and Stoll, J.R. 2005. Understanding differences in non-market valuation by angler specialization level. Leisure Sciences, 27: 263–277. DOI:https://doi.org/10.1080/01490400590930899
[78] Ojumu, O., Hite, D., and Fields, D. 2009. Estimating Demand for Recreational Fishing in Alabama Using Travel Cost Model. Southern Agricultural Economics Association Annual Meeting; AgEcon Publication. Available at: http://ageconsearch.umn.edu/
[79] Park, H.M. 2003. Multicollinearity in Regression Models. Jeeshim and KUCC625. Available at: http://www.masil.org/documents/multicollinearity.pdf
[80] Parsons, G.R. 2003. The travel cost model. In Champ, Patricia A., Boyle, Kevin J., and Brown, Thomas C., editors, A primer on nonmarket valuation. New York: Springer Science+Business Media, pp. 269–329.
[81] Pascoe, S., Doshi, A., Dell, Q., Tonks, M., and Kenyon, R. 2014. Economic value of recreational fishing in Moreton Bay and the potential impact of the marine park rezoning. Tourism Management, 41: 53–63. DOI:http://dx.doi.org/10.1016/j.tourman.2013.08.015
[82] Perman, R., Ma, Y., McGilvraym J., and Common, M. 2003. Natural resource and environmental economics. New York: Pearson Education Ltd, 699 pp.
[83] Prado, B. 2006. Economic valuation of the lower Illinois carp fishery in Oklahoma under current and hypothetical management plans. Doctoral dissertation. Oklahoma State University, 252 pp.
[84] Prayaga, P., Rolfe, J., and Stoeckl, N. 2010. The value of recreational fishing in the Great Barrier Reef, Australia: a pooled revealed preference and contingent behaviour model. Marine Policy, 34(2): 244–251. DOI: https://doi.org/10.1016/j.marpol.2009.07.002
[85] Raguragavan, J., Hailu, A., and Burton, M. 2013. Economic valuation of recreational fishing in Western Australia: statewide random utility modelling of fishing site choice behaviour. Australian Journal of Agricultural and Resource Economics, 57(4). Available at: http://ordering.onli1111/(ISSN)1467-8489
[86] Ready, R.C., et al. 2012. Net Benefits of Recreational Fishing in the Great Lakes, Upper Mississippi River, and Ohio River Basins. NY: HDRU, Department of Natural Resources, Bruckner Hall, Cornell University, Ithaca, 122 pp.
[87] Roach, B., Boyle, K.J., and Welsh, M. 2002. Testing bid design effects in multiple-bounded contingent valuation. Land Economics, 78(1): 121–131. DOI: 10.2307/3146927
[88] Rolfe, J., and Dyack, B. 2010. Testing for convergent validity between travel cost and contingent valuation estimates of recreation values in the Coorong, Australia. Australian Journal of Agricultural and Resource Economics, 54(4): 583–599. DOI: https://doi.org/10.4217/OPR.2008.30.2.141
[89] Rolfe, J., and Gregg, D. 2012. Valuing beach recreation across a regional area: The Great Barrier Reef in Australia. Ocean and Coastal Management, 69: 282–290. DOI:10.1016/J.OCECOAMAN.2012.08.019
[90] Shaw, D. 1988. On-site sample regression: Problems of non-negative integers, truncation, and endogenous stratification. Journal of Econometrics, 37: 211–223. DOI: https://doi.org/10.1016/0304-4076(88)90003-6
[91] Shrestha, R.K., Seidl, A.F., and Moraes, A.S. 2002. Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models. Ecological Economics, 42. DOI:10.1016/S0921-8009(02)106-4
[92] Sohngen, B., Lichtkoppler, F., and Bielen, M. 2000. The value of day trips to Lake Erie beaches. Technical Report. Technical Bulletin TB-039. Columbus, OH: Ohio Sea Grant Extension, 30 pp.
[93] Spirkovski, Z., Ilik-Boeva, D., Talevski, T., Paluqi, A., and Kapedani, E. 2012. The fishes of Prespa. UNDP.
[94] StataCorp. 2011. Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.
[95] Taylor, P., and Gratton, C. 2000. The Economics of Sport and Recreation: an Economic Analysis. New York: Routledge, 234 pp.
[96] Urama, K.C., and Hodge, I. 2006. Participatory environmental education and willingness to pay for river basin management: empirical evidence from Nigeria. Land Economics, 82(4): 542–561. DOI: 10.3368/le.82.4.542
[97] Ward, F.A., and Beal, D. 2000. Valuing Nature with Travel Cost Models. Cheltenham, UK: Edward Elgar Publishing, 264 pp.
[98] Wheeler, S., and Damania, R. 2001. Valuing New Zealand recreational fishing and an assessment of the validity of the contingent valuation estimates. Australian Journal of Agricultural and Resource Economics, 45: 599–621. DOI: https://doi.org/10.1111/1467-8489.00159
[99] Whitehead, J.C, Grotius, P.A., Southwick, R., and Foster-Turley, P. 2009. Measuring the economic benefits of Saginaw Bay coastal marsh with revealed and stated preference methods. Journal of Great Lakes Research, 35(3): 430–437. DOI: https://doi.org/10.1016/j.jglr.2009.03.005
[100] Whitehead, J.C. 2006. A comparison of contingent valuation method and random utility model estimates of the value of avoiding reductions in king mackerel bag limits. Applied Economics, 38(15): 1725–1735. DOI:https://doi.org/10.1080/00036840500427130
[101] Williams, J.S., and Bettoli, P.W. 2003. Net value of trout fishing opportunities in Tennessee tailwaters. Fisheries Report 03-21. Nashville, Tennessee: Tennessee Wildlife Resource Agency.
[102] Zawacki, W.T., Marsinko, A., and Bowker, J. 2000. A travel cost analysis of nonconsumptive wildlife- associated recreation in the United States. Forest Science, 46(4): 496–506.
[103] AcaStat, Software. 2014. Pearson Correlation. AcaStat Software: Research Tools and Instructional Aids. Retrieved April 2014, from http://www.acastat.com/Statbook/correlation.htm
Published
2024-02-29
How to Cite
GRAZHDANI, Dorina. Results of Two Non-Market Valuation Methods Used to Estimate Recreational Fishing in the Lakes Prespa Watershed. Journal of Environmental Management and Tourism, [S.l.], v. 15, n. 1, p. 52 - 68, feb. 2024. ISSN 2068-7729. Available at: <https://journals.aserspublishing.eu/jemt/article/view/8321>. Date accessed: 02 may 2024. doi: https://doi.org/10.14505/jemt.v15.1(73).05.