IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v82y2022i2d10.1007_s10640-022-00687-w.html
   My bibliography  Save this article

Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs

Author

Listed:
  • Juan Agar

    (NOAA)

  • William C. Horrace

    (Syracuse University)

  • Christopher F. Parmeter

    (University of Miami)

Abstract

We study the impacts of individual fishing quota programs on overcapacity and the technical efficiency of the Gulf of Mexico red snapper and grouper-tilefish fisheries. We deploy generalized panel data stochastic frontier methods, which allow us to decompose time invariant heterogeneity into both vessel specific heterogeneity and persistent inefficiency. This type of decomposition has recently seen interest in a variety of applied production settings but marks the first use in fishery studies. Our main findings show that roughly 20% of red snapper fleet size could have harvested the entire red snapper quota and that the time-varying technical efficiency of the red snapper fleet grew by 6% post-IFQ. We also find that 57% of the Gulf reef fish IFQ fishery (red snapper combined with grouper-tilefish), had it operated at full efficiency, could have harvested the quota in the early stages of the IFQ program (2011–2016), and that the time-varying technical efficiency of the fleet rose by 5% post-IFQ. “The views and opinions provided or implied in this manuscript are those of the authors and do not necessarily reflect the positions or policies of NOAA”. “The views and opinions provided or implied in this manuscript are those of the authors and do not necessarily reflect the positions or policies of NOAA”.

Suggested Citation

  • Juan Agar & William C. Horrace & Christopher F. Parmeter, 2022. "Overcapacity in Gulf of Mexico reef fish IFQ fisheries: 12 years after the adoption of IFQs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(2), pages 483-506, June.
    • Handle: RePEc:kap:enreec:v:82:y:2022:i:2:d:10.1007_s10640-022-00687-w
    DOI: 10.1007/s10640-022-00687-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10640-022-00687-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10640-022-00687-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ling Huang & Subhash Ray & Kathleen Segerson & John Walden, 2018. "Impact of Collective Rights-based Fisheries Management: Evidence from the New England Groundfish Fishery," Marine Resource Economics, University of Chicago Press, vol. 33(2), pages 177-201.
    2. Kurt E. Schnier & Ronald G. Felthoven, 2013. "Production Efficiency and Exit in Rights-Based Fisheries," Land Economics, University of Wisconsin Press, vol. 89(3), pages 538-557.
    3. Ronald Felthoven & William Horrace & Kurt Schnier, 2009. "Estimating heterogeneous capacity and capacity utilization in a multi-species fishery," Journal of Productivity Analysis, Springer, vol. 32(3), pages 173-189, December.
    4. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    5. Solís, Daniel & del Corral, Julio & Perruso, Larry & Agar, Juan J., 2014. "Evaluating the impact of individual fishing quotas (IFQs) on the technical efficiency and composition of the US Gulf of Mexico red snapper commercial fishing fleet," Food Policy, Elsevier, vol. 46(C), pages 74-83.
    6. Stefano Mainardi, 2021. "Correction to: Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 211-211, June.
    7. Olson, Jerome A. & Schmidt, Peter & Waldman, Donald M., 1980. "A Monte Carlo study of estimators of stochastic frontier production functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 67-82, May.
    8. James Kirkley & Dale Squires & Ivar Strand, 1998. "Characterizing Managerial Skill and Technical Efficiency in a Fishery," Journal of Productivity Analysis, Springer, vol. 9(2), pages 145-160, March.
    9. Antonio Alvarez & Peter Schmidt, 2006. "Is skill more important than luck in explaining fish catches?," Journal of Productivity Analysis, Springer, vol. 26(1), pages 15-25, August.
    10. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    11. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    12. Subal Kumbhakar & Gudbrand Lien & J. Hardaker, 2014. "Technical efficiency in competing panel data models: a study of Norwegian grain farming," Journal of Productivity Analysis, Springer, vol. 41(2), pages 321-337, April.
    13. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    14. Matthew N. Reimer & Joshua K. Abbott & Alan C. Haynie, 2017. "Empirical Models of Fisheries Production: Conflating Technology with Incentives?," Marine Resource Economics, University of Chicago Press, vol. 32(2), pages 169-190.
    15. Daniel Solís & Julio Corral & Lawrence Perruso & Juan J. Agar, 2015. "Individual fishing quotas and fishing capacity in the US Gulf of Mexico red snapper fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 59(2), pages 288-307, April.
    16. Matthew N. Reimer & Joshua K. Abbott & James E. Wilen, 2017. "Fisheries Production: Management Institutions, Spatial Choice, and the Quest for Policy Invariance," Marine Resource Economics, University of Chicago Press, vol. 32(2), pages 143-168.
    17. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    18. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    19. William C. Horrace & Kurt E. Schnier, 2010. "Fixed-Effect Estimation of Highly Mobile Production Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1432-1445.
    20. Pascoe, Sean & Coglan, Louisa, 2000. "Implications of differences in technical efficiency of fishing boats for capacity measurement and reduction," Marine Policy, Elsevier, vol. 24(4), pages 301-307, July.
    21. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    22. Stefano Mainardi, 2019. "Access Fees and Efficiency Frontiers with Selectivity and Latent Classes: Falkland Islands Fisheries," Marine Resource Economics, University of Chicago Press, vol. 34(2), pages 163-195.
    23. Juan J. Agar & Jessica A. Stephen & Andy Strelcheck & Assane Diagne, 2014. "The Gulf of Mexico Red Snapper IFQ Program: The First Five Years," Marine Resource Economics, University of Chicago Press, vol. 29(2), pages 177-198.
    24. Efthymios Tsionas & Theodore Papadogonas, 2006. "Firm exit and technical inefficiency," Empirical Economics, Springer, vol. 31(2), pages 535-548, June.
    25. Christine Amsler & Peter Schmidt, 2019. "Separating different individual effects in a panel data model," The Econometrics Journal, Royal Economic Society, vol. 22(2), pages 173-187.
    26. Parmeter, Christopher F. & Kumbhakar, Subal C., 2014. "Efficiency Analysis: A Primer on Recent Advances," Foundations and Trends(R) in Econometrics, now publishers, vol. 7(3-4), pages 191-385, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mark A. Andor & David H. Bernstein & Stephan Sommer, 2021. "Determining the efficiency of residential electricity consumption," Empirical Economics, Springer, vol. 60(6), pages 2897-2923, June.
    2. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.
    3. Solís, Daniel & Agar, Juan J. & del Corral, Julio, 2015. "IFQs and total factor productivity changes: The case of the Gulf of Mexico red snapper fishery," Marine Policy, Elsevier, vol. 62(C), pages 347-357.
    4. Alvarez, Antonio & Couce, Lorena & Trujillo, Lourdes, 2019. "Does Specialization Affect the Efficiency of Small-Scale Fishing Boats?," Efficiency Series Papers 2019/03, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    5. Christopher F. Parmeter & Valentin Zelenyuk, 2019. "Combining the Virtues of Stochastic Frontier and Data Envelopment Analysis," Operations Research, INFORMS, vol. 67(6), pages 1628-1658, November.
    6. Quang Nguyen & Sean Pascoe & Louisa Coglan & Son Nghiem, 2021. "The sensitivity of efficiency scores to input and other choices in stochastic frontier analysis: an empirical investigation," Journal of Productivity Analysis, Springer, vol. 55(1), pages 31-40, February.
    7. Lien, Gudbrand & Kumbhakar, Subal C. & Alem, Habtamu, 2018. "Endogeneity, heterogeneity, and determinants of inefficiency in Norwegian crop-producing farms," International Journal of Production Economics, Elsevier, vol. 201(C), pages 53-61.
    8. Pontus Mattsson & Jonas Mansson & William H. Greene, 2018. "TFP Change and its Components for Swedish Manufacturing Firms During the 2008-2009 Financial Crisis," Working Papers 18-27, New York University, Leonard N. Stern School of Business, Department of Economics.
    9. Mark Andor & Christopher Parmeter, 2017. "Pseudolikelihood estimation of the stochastic frontier model," Applied Economics, Taylor & Francis Journals, vol. 49(55), pages 5651-5661, November.
    10. Andor, Mark A. & Parmeter, Christopher & Sommer, Stephan, 2019. "Combining uncertainty with uncertainty to get certainty? Efficiency analysis for regulation purposes," European Journal of Operational Research, Elsevier, vol. 274(1), pages 240-252.
    11. Stefano Mainardi, 2021. "Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 169-210, June.
    12. Romero-Jordán, Desiderio & del Río, Pablo, 2022. "Analysing the drivers of the efficiency of households in electricity consumption," Energy Policy, Elsevier, vol. 164(C).
    13. Jean Joseph Minviel & Timo Sipiläinen, 2021. "A dynamic stochastic frontier approach with persistent and transient inefficiency and unobserved heterogeneity," Agricultural Economics, International Association of Agricultural Economists, vol. 52(4), pages 575-589, July.
    14. Bernstein, David H., 2020. "An updated assessment of technical efficiency and returns to scale for U.S. electric power plants," Energy Policy, Elsevier, vol. 147(C).
    15. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Yan, Ming-Zhe & Wang, Jian-Lin & Xie, Bai-Chen, 2019. "Which provincial administrative regions in China should reduce their coal consumption? An environmental energy input requirement function based analysis," Energy Policy, Elsevier, vol. 127(C), pages 51-63.
    16. Zhou, Jianhua & Parmeter, Christopher F. & Kumbhakar, Subal C., 2020. "Nonparametric estimation of the determinants of inefficiency in the presence of firm heterogeneity," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1142-1152.
    17. Raushan Bokusheva & Lukáš Čechura & Subal C. Kumbhakar, 2023. "Estimating persistent and transient technical efficiency and their determinants in the presence of heterogeneity and endogeneity," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(2), pages 450-472, June.
    18. Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022. "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar (ed.), Handbook of Production Economics, chapter 8, pages 331-370, Springer.
    19. Sabrina Auci & Laura Castellucci & Manuela Coromaldi, 2021. "How does public spending affect technical efficiency? Some evidence from 15 European countries," Bulletin of Economic Research, Wiley Blackwell, vol. 73(1), pages 108-130, January.
    20. Nazneen K. Chowdhury & Tom Kompas & Kaliappa Kalirajan, 2010. "Impact of control measures in fisheries management: evidence from Bangladesh's industrial trawl fishery," Economics Bulletin, AccessEcon, vol. 30(1), pages 765-773.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:enreec:v:82:y:2022:i:2:d:10.1007_s10640-022-00687-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.