The value of responsibly farmed fish: A hedonic price study of ASC-certified whitefish
Frank Asche (),
Julia Bronnmann and
Andreea L. Cojocaru
Ecological Economics, 2021, vol. 188, issue C
In recent years, several studies have identified price premiums for wild seafood certified as sustainably produced. Even though more than half of seafood for human consumption originates from aquaculture, not much attention has been given to consumer preferences for sustainability certified farmed fish, and to the implied price premiums for such products. This is the first paper to use market data to investigate the presence of price premiums in association with an ecolabel for farmed seafood, namely the label of the Aquaculture Stewardship Council (ASC). Using hedonic price analysis, we look at premiums related to the three most consumed farmed whitefish species in Germany: rainbow trout, pangasius, and tilapia. Our results show that there exist price premiums for ASC-certified whitefish on the German market, which vary by species. Moreover, the magnitudes of the price premiums for ASC-certified products vary by retailer and brand and are negatively correlated with their price level.
Keywords: Aquaculture stewardship council ASC; Consumer preferences; Ecolabeling; Hedonic pricing; Price premium; Scanner data (search for similar items in EconPapers)
JEL-codes: Q11 Q22 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolec:v:188:y:2021:i:c:s0921800921001932
Access Statistics for this article
Ecological Economics is currently edited by C. J. Cleveland
More articles in Ecological Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().