A cost-benefit analysis of restoring the Em River in Sweden: valuation of angling site characteristics and visitation frequency

Anton Paulrud and Thomas Laitila

Applied Economics, 2013, vol. 45, issue 16, pages 2255-2266

Abstract: This article uses Cost-Benefit Analysis (CBA) to evaluate restoration scenarios aimed at improving angling on the Em River in Sweden. We find that none of the proposed projects are socially profitable when considering only values associated with angling. We rely on a Choice Experiment (CE) to derive utilities and estimate the monetary value of angling site characteristics and then also use the utilities derived in a visitation frequency using a two-stage budgeting approach. The visitation frequency is then used to extract values for fishing license sales and business-related income. The case study illustrates how CBA can provide useful insights into the potential economic returns of environmental restoration projects. Our case study also indicates that the results in terms of Willingness-To-Pay (WTP) and visitation frequency are general findings -- i.e. they appear similar across angling sites -- which is particularly useful from a policy point of view because it supports the use of benefit transfer for more cost-effective river management.

Date: 2013
References: Add references at CitEc
Citations Track citations by RSS feed

Downloads: (external link)
http://hdl.handle.net/10.1080/00036846.2012.659348 (text/html)
Access to full text is restricted to subscribers.

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: http://EconPapers.repec.org/RePEc:taf:applec:45:y:2013:i:16:p:2255-2266

Ordering information: This journal article can be ordered from
http://www.tandf.co.uk/journals/subscription.asp

Access Statistics for this article

Applied Economics is edited by Mark Taylor

More articles in Applied Economics from Taylor and Francis Journals
Series data maintained by Michael McNulty ().