The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery
Daniel Solis (),
Juan Agar and
Julio del Corral ()
No 196639, 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia from Southern Agricultural Economics Association
This paper investigates changes in the total factor productivity (TFP) and identifies the main sources of TFP growth following the adoption of an individual fishing quota (IFQ) program in the Gulf of Mexico red snapper commercial fishery. Utilizing an unbalanced panel of 722 vertical line vessels we built Malmquist indices derived from an output-oriented stochastic distance frontier. The study shows that the IFQ program had a positive impact on the productivity of the fleet and that most of the productivity gains were due to improvements in technical efficiency. The study also finds that changes in technical efficiency were time variant suggesting that the exit of the less efficient vessels and easing of command and control regulations such as trip limits and short fishing seasons were responsible for most of these gains. Changes in the exploitable biomass of red snapper were found to have a moderate impact on productivity growth whereas the impact of technological progress was minimal.
Keywords: Productivity change; individual fishing quotas; stochastic frontier distance function; Productivity Analysis; D24; Q22 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed
Downloads: (external link)
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:ags:saea15:196639
Access Statistics for this paper
More papers in 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia from Southern Agricultural Economics Association Contact information at EDIRC.
Series data maintained by AgEcon Search ().