Technical efficiency of Connecticut Long Island Sound lobster fishery: a nonparametric approach to aggregate frontier analysis

Lei Chen (), Rangan Gupta, Zinnia Mukherjee () and Peter Wanke ()
Additional contact information
Lei Chen: Jianghan University
Peter Wanke: Federal University of Rio de Janeiro

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2016, vol. 81, issue 3, No 8, 1533-1548

Abstract: Abstract In this paper, we address the question whether the technical efficiency of a fishing industry is affected by the determinants of ambient water quality of the aquatic ecosystem. Using zone-specific data from 1998 to 2007 for the Connecticut Long Island Sound lobster fishery and an approach combining a bootstrapping technique with data envelopment analysis, we obtained the DEA estimates of technical efficiency for each fishing zone. We then used the bootstrapped DEA results and censored quantile regression to assess the impact of the environmental variables on different efficiency percentiles. A key result indicates when environmental conditionals are favorable (high dissolved oxygen levels), efficiency is low, and when environmental conditionals are less favorable (high levels of nitrogen), efficiency is high. The results show that the intensity of significant impacts given the contextual variables may vary among high- and low-efficiency periods.

Keywords: Technical efficiency; Data envelopment analysis; Censored quantile regression; Lobster; Harvest; Long Island Sound (search for similar items in EconPapers)
JEL-codes: Q22 Q57 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://link.springer.com/10.1007/s11069-015-2144-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
Working Paper: Technical Efficiency of Connecticut Long Island Sound Lobster Fishery: A Nonparametric Approach to Aggregate Frontier Analysis (2015)
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:spr:nathaz:v:81:y:2016:i:3:d:10.1007_s11069-015-2144-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-015-2144-5

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().