Combining Actual and Contingent Behavior to Estimate the Value of Sports Fishing in the Lagoon of Venice

Abstract

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. We also asked questions about trips that would be undertaken under hypothetical changes in the price of a trip and/or in the catch rate. Actual and hypothetical trips are combined to estimate single-site TCM demand function for trips. We propose several models to test whether it is acceptable to pool hypothetical and actual trip data, focusing on the respondent heterogeneity in the contingent behavior questions. Our models suggest actual and contingent behavior are driven by the same demand function, and can be pooled for estimation purposes. We use this estimated demand function, and its shift when the catch rate is improved, to compute angler surplus at the current catch rate and the change in surplus accruing from a 50% improvement in the catch rate. For the average angler in our sample, the former is about €1,700 a year, while the latter is about €2,800. Terms of use: Documents in

Estimating the environmental effects and recreational benefits of cultivated flower land for environmental quality improvement in Taiwan

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“…The demand model of this study is also based on TCM theory, and adopts panel model that follows the methods of Alberini et al. () and Whitehead et al. () to avoid bias in measuring consumer surplus.…”

Coastal Zones Ecosystem Services

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An Analysis of Congestion Effects Across and Within Multiple Recreation Activities

“…Whitehead et al (2000), Hanley et al (2003), and Loomis (1997) ask people how many trips they would take under hypothetical conditions and combine these data with actual trips under current conditions to value recreational site visits. Alberini et al (2006) set out to test the validity of pooling actual and hypothetical trip data in a travel cost model to estimate the value of sports fishing. They conclude that actual and contingent behaviors are driven by the same demand function, and that pooling can be done for estimation purposes.…”