Abstract

This paper makes a meta-analysis of studies estimating willingness-to-pay for fishing at the global scale. Focus of studies, determinants of the value, and predictive power are analyzed with 208 usable studies. Most of the studies were applied to fishing in the USA and measured fishing value as value-per-day. Variables reflecting contextual, environmental and study specific factors were included as explanatory determinants in different sub-sample regression models. Mixed effect methods were used, and a robust result was that temperature had a significant and positive effect on the fishing value. The estimated predictive power for sub-sample models with values measured as value-per-day for specific fish species (trout and bass) and valuation methods (contingent valuation and travel cost methods) was relatively good when compared with other studies on meta-analysis of environmental values. Predictions of an increase in temperature by 1°C indicated an increase by 2 % in the fishing value.

Keywords

willingness-to-pay; fishing; meta-regression; environmental factors; prosperity; global

Published in

Working Paper Series / Swedish University of Agricultural Sciences, Department of Economics
2022, number: 2022:1
Publisher: Institutionen för ekonomi, Sveriges lantbruksuniversitet

SLU Authors

• Gren, Ing-Marie

  • Department of Economics, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Economics


Permanent link to this page (URI)

https://res.slu.se/id/publ/115259