Measuring Fishing Capacity Using Quantile Data Envelopment Analysis

John B. Walden and Joseph Atwood

Marine Resource Economics, 2023, vol. 38, issue 3, 229 - 247

Abstract: Data envelopment analysis (DEA) is an extensively used method to estimate capacity and technical and economic efficiency of fishing vessels. However, DEA is often criticized because of the influence that outliers, or noisy data, can have on the DEA estimates. Recently, quantile data envelopment analysis (QDEA) was introduced to identify and address issues caused by influential data outliers. QDEA endogenously identifies potential outliers and eliminates them from a given observation’s DEA reference set. In this study, we utilize QDEA to estimate fishing fleet capacity for vessels operating in the northwest Atlantic Ocean during 2019. We present methods for implementing the QDEA model that we think are practical and can be adapted for fishing fleets worldwide. Results show lower capacity estimates using the QDEA model than what the standard capacity model would yield. Our results are quite encouraging in terms of utilizing the QDEA model in future work.

Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
http://dx.doi.org/10.1086/724932 (application/pdf)
http://dx.doi.org/10.1086/724932 (text/html)
Access to the online full text or PDF requires a subscription.

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:ucp:mresec:doi:10.1086/724932

Access Statistics for this article

More articles in Marine Resource Economics from University of Chicago Press
Bibliographic data for series maintained by Journals Division ().