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Articles

A combined SP-RP model to estimate the value of improvements in freshwater angling in England

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Pages 167-187 | Received 06 Dec 2018, Accepted 20 May 2019, Published online: 27 May 2019

References

  • Adamowicz, W., J. Louviere, and M. Williams. 1994. “Combining Stated and Revealed Preference Methods for Valuing Environmental Amenities.” Journal of Environmental Economics and Management 26 (3): 271–292.
  • Arismendi, I., and L. Nahuelhual. 2007. “Non-native Salmon and Trout Recreational Fishing in Lake Llanquihue, Southern Chile: Economic Benefits and Management Implications.” Reviews in Fisheries Science 15 (4): 311–325.
  • Arlinghaus, R. 2004. Angelfischerei in Deutschland - Eine Soziale und Ökonomische Analyse [Recreational Fisheries in Germany - A Social and Economic Analysis]. Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin [in German].
  • Ben-Akiva, M. E., and T. Morikawa. 1990. “Estimation of Travel Demand Models From Multiple Data Sources.” Proceedings of the 11th International Symposium on Transportation and Traffic Theory, Yokohama.
  • Berrens, R., O. Bergland, and R. M. Adams. 1993. “Valuation Issues in an Urban Recreational Fishery - Spring Chinook Salmon in Portland, Oregon.” Journal of Leisure Research 25: 70–83.
  • Berry, S., J. Levinsohn, and A. Pakes. 1995. “Automobile Prices in Market Equilibrium.” Econometrica 63 (4): 841–890.
  • Bockstael, N. E., W. M. Hanemann, and C. L. Kling. 1987. “Estimating the Value of Water Quality Improvements in a Recreational Demand Framework.” Water Resources Research 23 (5): 951–960.
  • Breen, B., J. Curtis, and S. Hynes. 2018. “Water Quality and Recreational use of Public Waterways.” Journal of Environmental Economics and Policy 7 (1): 1–15.
  • Brown, A. 2014. Realising the Eden’s Angling Potential. Stage Two: Angler Survey. Report to Eden Rivers Trust, River Eden and District Fisheries Association, and Environment Agency. http://www.edenfishing.co.uk/docs/survey2014final.pdf.
  • Butler, J. R. A., A. Radford, G. Riddington, and R. Laughton. 2009. “Evaluating an Ecosystem Service Provided by Atlantic Salmon, sea Trout and Other Fish Species in the River Spey, Scotland: the Economic Impact of Recreational rod Fisheries.” Fisheries Research 96 (2-3): 259–266.
  • Creel, M., and J. Loomis. 1992. “Recreation Value of Water to Wetlands in the San Joaquin Valley: Linked Multinomial Logit and Count Data Trip Frequency.” Water Resources Research 28 (10): 2597–2606.
  • Curtis, J. A. 2002. “Estimating the Demand for Salmon Angling in Ireland.” Economic and Social Review 33 (3): 319–322.
  • Curtis, J., and B. Breen. 2017. “Irish Coarse and Game Anglers’ Preferences for Fishing Site Attributes.” Fisheries Research 190: 103–112.
  • Curtis, J., and B. Stanley. 2016. “Water Quality and Recreational Angling Demand in Ireland.” Journal of Outdoor Recreation and Tourism 14: 27–34.
  • Deely, J., S. Hynes, and J. Curtis. 2019. “Are Objective Data an Appropriate Replacement for Subjective Data in Site Choice Analysis?” Journal of Environmental Economics and Policy 8 (2): 159–178.
  • DFT (Department for Transport). 2015a. Provision of Market Research for Value of Travel Time Savings and Reliability. Non-technical Summary Report. https://www.gov.uk/government/publications/values-of-travel-time-savings-and-reliability-final-reports.
  • DFT (Department for Transport). 2015b. Free Flow Vehicle Speed Statistics in Great Britain: 2015 report. https://www.gov.uk/government/statistics/free-flow-vehicle-speeds-in-great-britain-2015.
  • Eom, Y.-S., and D. M. Larson. 2006. “Improving Environmental Valuation Estimates Through Consistent use of Revealed and Stated Preference Information.” Journal of Environmental Economics and Management 52 (1): 501–516.
  • Espino, R., J. de Dios Ortúzar, and C. Román. 2006. “Confidence Interval for Willingness to pay Measures in Mode Choice Models.” Networks and Spatial Economics 6 (2): 81–96.
  • Feather, P. 1994. “Sampling and Aggregation Issues in Random Utility Model Estimation.” American Journal of Agricultural Economics 76 (4): 772–780.
  • Haab, T., and K. E. McConnell. 1996. “Count Data Models and the Problem of Zeros in Recreation Demand Analysis.” American Journal of Agricultural Economics 78 (1): 89–102.
  • Hanemann, M. 1984. “Discrete/Continuous Models of Consumer Demand.” Econometrica 52 (3): 541–561.
  • Hausman, J. A., G. K. Leonard, and D. McFadden. 1995. “A Utility-Consistent, Combined Discrete Choice and Count Data Model - Assessing Recreational use Losses due to Natural Resource Damage.” Journal of Public Economics 56 (1): 1–30.
  • Hicks, R. L., and I. E. Strand. 2000. “The Extent of Information: its Relevance for Random Utility Models.” Land Economics 76 (3): 374–385.
  • Hughes, R. M. 2015. “Recreational Fisheries in the USA: Economics, Management Strategies, and Ecological Threats.” Fisheries Science 81: 1–9.
  • Hynes, S., P. O’Reilly, and R. Corless. 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.
  • Johnstone, C., and A. Markandya. 2006. “Valuing River Characteristics Using Combined Site Choice and Participation Travel Cost Models.” Journal of Environmental Management 80 (3): 237–247.
  • Kott, P. S. 2009. “Calibration Weighting: Combining Probability Samples and Linear Prediction Models.” Handbook of Statistics 29 (B): 55–82.
  • Krinsky, I., and A. L. Robb. 1986. “On Approximating the Statistical Properties of Elasticities.” The Review of Economics and Statistics 68 (4): 715–719.
  • Laitila, T., and A. Paulrud. 2006. “A Multi-Attribute Extension of Discrete-Choice Contingent Valuation for Valuation of Angling Site Characteristics.” Journal of Leisure Research 38 (2): 133–142.
  • Lawrence, K. S., and J. Spurgeon. 2007. Economic Evaluation of Inland Fisheries: Welfare Benefits of Inland Fisheries in England & Wales. Bristol: Environment Agency. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/291114/sw2-039-pr-1-e-e.pdf.
  • Lee, D. E., S. G. Hosking, and M. Preez. 2013. “A Choice Experiment Application to Estimate Willingness to pay for Controlling Excessive Recreational Fishing Demand at the Sundays River Estuary, South Africa.” Water SA 44 (1): 39–48. https://www.ajol.info/index.php/wsa/article/view/99662.
  • Li, L., W. Adamowicz, and J. Swait. 2015. “The Effect of Choice set Misspecification on Welfare Measures in Random Utility Models.” Resource and Energy Economics 42: 71–92.
  • Louviere, J., T. Flynn, and A. Marley. 2015. Best-worst Scaling: Theory, Methods and Applications. Cambridge: Cambridge University Press.
  • McFadden, D. 1974. “Conditional Logit Analysis of Qualitative Choice Behavior.” In Frontiers in Econometrics, edited by P. Zarembka, 105–142. New York: Academic Press.
  • McFadden, D. 1978. “Modelling the Choice of Residential Location.” In Spatial Interaction Theory and Planning Models, edited by A. Karlqvist, L. Lundqvist, F. Snickars, and J. Weibull, 75–96. Amsterdam: North-Holland.
  • McFadden, D., and D. Train. 2000. “Mixed mnl Models of Discrete Response.” Journal of Applied Econometrics 15 (5): 447–470.
  • Melstrom, R. T., F. Lupi, P. C. Esselman, and R. J. Stevenson. 2015. “Valuing Recreational Fishing Quality at Rivers and Streams.” Water Resources Research 51 (1): 140–150. doi:10.1002/2014WR016152.
  • Mkwara, L., D. Marsh, and R. Scarpa. 2015. “The Effect of Within-Season Variability on Estimates of Recreational Value for Trout Anglers in New Zealand.” Ecological Economics 119: 338–345.
  • Morey, E. R., W. S. Breffle, R. D. Rowe, and D. M. Waldman. 2002. “Estimating Recreational Trout Fishing Damages in Montana’s Clark Fork River Basin: Summary of a Natural Resource Damage Assessment.” Journal of Environmental Management 66 (2): 159–170.
  • Murdock, J. 2006. “Handling Unobserved Site Characteristics in Random Utility Models of Recreation Demand.” Journal of Environmental Economics and Management 51 (1): 1–25.
  • Parsons, G., and A. Hauber. 1998. “Spatial Boundaries and Choice set Definition in a Ramdom Utility Model of Recreation Demand.” Land Economics 74 (1): 32–48.
  • Parsons, G., and M. J. Kealy. 1992. “Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation.” Land Economics 68 (1): 93–106.
  • Parsons, G., D. Massey, and T. Tomasi. 2000. “Familiar and Favorite Sites in a Random Utility Model of Beach Recreation.” Marine Resources Economics 14 (4): 299–315.
  • Parsons, G., and M. S. Needelman. 1992. “Site Aggregation in a Random Utility Model of Recreation.” Land Economics 68 (4): 418–433.
  • Paulrud, A., and T. Laitila. 2013. “A Cost Benefit Analysis of Restoring the Em River in Sweden: Valuation of Angling Site Characteristics and Visitation Frequency.” Applied Economics 45 (16): 2255–2266.
  • Peirson, G., D. Tingley, J. Spurgeon, and A. Radford. 2001. “Economic Evaluation of Inland Fisheries in England and Wales.” Fisheries Management and Ecology 8 (4-5): 415–424.
  • Peters, T., W. L. Adamowicz, and P. C. Boxall. 1995. “Influence of Choice set Considerations in Modeling the Benefits From Improved Water Quality.” Water Resources Research 31 (7): 1781–1787.
  • PWC (Price Waterhouse Coopers). 2007. The Social and Economic Impact to Northern Ireland, and Areas within the Loughs Agency, of Recreational Fisheries, Angling and Angling Resources. Report to the Department of Culture, Arts and Leisure, The Loughs Agency of the Foyle, Carlingford and Irish Lights Commission and the Northern Ireland Tourist Board. https://www.daera-ni.gov.uk/publications/social-and-economic-impact-angling-and-angling-resources-final-report.
  • Radford, A., G. Riddington, and H. Gibson. 2007. Economic Evaluation of Inland Fisheries: The Economic Impact of Freshwater Angling in England & Wales. Bristol: Environment Agency. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/291117/scho1207bnnw-e-e.pdf.
  • Särndal, C.-E. 2007. “The Calibration Approach in Survey Theory and Practice.” Survey Methodology 33 (2): 99–119.
  • Shonkwiler, J. S., and W. D. Shaw. 1996. “Hurdle Count-Data Models in Recreation Demand Analysis.” Journal of Agricultural and Resource Economics 21 (2): 210–219.
  • Shrestha, R. K., A. F. Seidl, and A. S. Moraes. 2002. “Value of Recreational Fishing in the Brazilian Pantanal: a Travel Cost Analysis Using Count Data Models.” Ecological Economics 42 (1-2): 289–299.
  • Simpson, D., and G. W. Mawle. 2010. Public Attitudes to Angling. Bristol: Environment Agency. http://resources.anglingresearch.org.uk/sites/resources.anglingresearch.org.uk/files/EA_Public_Attitudes_to_Angling_2010.pdf.
  • Small, K., and H. Rosen. 1981. “Applied Welfare Economics of Discrete Choice Models.” Econometrica 49 (1): 105–130.
  • SQW. 2015. Economic Impact from Angling on the Tweed River System. Report to River Tweed Commission. https://rtc.org.uk/2015_Tweed_impact_update_final_report_161115.pdf.
  • TDI (Tourism Development International). 2013. Socio-economic Study of Recreational Angling in Ireland. Report to Inland Fisheries Ireland. http://www.fisheriesireland.ie/media/tdistudyonrecreationalangling.pdf.
  • Thangavelu, T., A. Paulrud, and J. Stage. 2017. “Understanding Heterogeneous Preferences for Angling Site Attributes: Application of a Choice Experiment.” Journal of Environmental Economics and Policy 6 (3): 324–340.
  • Théberge, A. 2000. “Calibration and Restricted Weights.” Survey Methodology 26 (1): 99–107.
  • Thiene, M., J. Swait, and R. Scarpa. 2017. “Choice set Formation for Outdoor Destinations: the Role of Motivations and Preference Discrimination in Site Selection for the Management of Public Expenditures on Protected Areas.” Journal of Environmental Economics and Management 81: 152–173.
  • Toivonen, A. L., E. Roth, S. Navrud, G. Gudbergsson, H. Appelblad, B. Bengtsson, and P. Tuunainen. 2004. “The Economic Value of Recreational Fisheries in Nordic Countries.” Fisheries Management and Ecology 11 (1): 1–14.
  • Train, K. E. 1998. “Recreation Demand Models with Taste Differences Over People.” Land Economics 74 (2): 230–239.
  • Wallentin, E. 2016. “Choice of the Angler: Estimating Single-Site Recreation Demand Using Revealed Preference Data.” Tourism Economics 22 (6): 1338–1351.
  • Whitehead, J. C. 2005. “Combining Willingness to pay and Behavior Data with Limited Information.” Resource and Energy Economics 27 (2): 143–155.
  • Whitehead, J. C., and D. K. Lee. 2019. ”Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data.“ Empirical Economics. https://doi.org/10.1007/s00181-019-01646-z.
  • Williams, H. 1977. “On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefits.” Environment and Planning A: Economy and Space 9: 285–344.
  • Winfield, I. J. 2016. “Recreational Fisheries in the UK: Natural Capital, Ecosystem Services, Threats, and Management.” Fisheries Science 82 (2): 203–212.

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