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Technical Efficiency of Connecticut Long Island Sound Lobster Fishery: A Nonparametric Approach to Aggregate Frontier Analysis

Author

Listed:
  • Lei Chen

    (School of Business, Jianghan University, Wuhan, China, 430056)

  • Rangan Gupta

    (Department of Economics, University of Pretoria)

  • Zinnia Mukherjee

    (Department of Economics, Simmons College, 300 The Fenway, E-203J, Boston, MA 02115, USA)

  • Peter Wanke

    (COPPEAD Graduate Business School, Federal University of Rio de Janeiro, Rua Paschoal Lemme, 355. 21949-900 Rio de Janeiro)

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 – 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.

Suggested Citation

  • Lei Chen & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2015. "Technical Efficiency of Connecticut Long Island Sound Lobster Fishery: A Nonparametric Approach to Aggregate Frontier Analysis," Working Papers 201578, University of Pretoria, Department of Economics.
    • Handle: RePEc:pre:wpaper:201578
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    References listed on IDEAS

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    1. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
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    Cited by:

    1. Mohammed Al-Siyabi & Gholam R. Amin & Shekar Bose & Hussein Al-Masroori, 2019. "Peer-judgment risk minimization using DEA cross-evaluation with an application in fishery," Annals of Operations Research, Springer, vol. 274(1), pages 39-55, March.
    2. Rangan Gupta & Zinnia Mukherjee & Mike G. Tsionas & Peter Wanke, 2016. "Productive Efficiency of Connecticut Long Island Lobster Fishery Using a Finite Mixture Model," Working Papers 201614, University of Pretoria, Department of Economics.
    3. Zhiwen Su & Mingyu Zhang & Jianjun Sun & Wenbing Wu, 2023. "Agribusiness diversification and technological innovation efficiency: A U‐shaped relationship," Agribusiness, John Wiley & Sons, Ltd., vol. 39(2), pages 322-346, March.

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    More about this item

    Keywords

    Technical efficiency; data envelopment analysis; censored quantile regression; lobster; harvest; Long Island Sound;
    All these keywords.

    JEL classification:

    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q57 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Ecological Economics

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