Measuring the Social Recreation Per-Day Net Benefit of Wildlife Amenities of a National Park: A Count-Data Travel Cost Approach

Isabel Mendes and Isabel Proença ()

No 2009/35, Working Papers Department of Economics from ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa

Abstract: We applied count-data travel cost methods to a truncated sample of visitors, to estimate the average CS per each day of visit of an individual, visiting the Peneda- Gerês National Park to enjoy their natural facilities for recreation purposes. As the recreation demand was measured in number of days of stay in the park the behaviour of the dependent variable is very specific. To overcome this situation, we propose the use of altered truncated count data models or truncated count data models on grouped data because we found they were better adjusted to our data set. The average individual CS per day is estimated to be €194 varying between €116 and €448, with Simulated Limits. This information is useful in the formulation of government policy relating directly to national parks and conservation and the determination of future natural park management. To our knowledge this is the first attempt to measure the average recreation net benefits per each day of stay supported by a national park, by using truncated altered and truncated grouped count data Travel Cost Model based on the observation of individual (not household) number of days of stay. Key words: Social Recreation Benefits; Wildlife Amenities; Count Data Models; Travel Cost.

JEL-codes: C3 D1 D4 Q2 (search for similar items in EconPapers)
Date: 2009-09
New Economics Papers: this item is included in nep-env and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://pascal.iseg.utl.pt/~depeco/wp/wp352009.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ise:isegwp:wp352009

Access Statistics for this paper

More papers in Working Papers Department of Economics from ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa Department of Economics, ISEG - Lisbon School of Economics and Management, Universidade de Lisboa, Rua do Quelhas 6, 1200-781 LISBON, PORTUGAL.
Bibliographic data for series maintained by Vitor Escaria ().