IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v79y2021i2d10.1007_s10640-021-00557-x.html
   My bibliography  Save this article

Parametric and Semiparametric Efficiency Frontiers in Fishery Analysis: Overview and Case Study on the Falkland Islands

Author

Listed:
  • Stefano Mainardi

    (UMCS – Uniwersytet Marii Curie-Skłodowskiej
    VŠB - Technical University of Ostrava)

Abstract

Provision of adequately valued individual transferable quotas and effort quotas is essential for sustainability and profitability of a fishery. Despite possible misleading consequences for policy-making, the extent to which fishery inefficiency estimates and rankings may depend on the model used, has received less attention. This paper first reviews determinants of fishers’ behaviour under regulated harvesting, with the Falkland Islands as focus case. Next, a ‘best scenario’ long-term equilibrium framework is outlined, under a regime of transferable effort quotas and fishing seasons as implemented in the Islands, followed by an overview of panel data stochastic frontier models, with specific regard to fisheries. To test hypotheses and impact of a mainly ITEQ-based regime for Falkland fisheries, two parametric and one semiparametric model rely on different assumptions on frontiers and inefficiency scores. Relative to companies operating in Falkland seas, regression estimates highlight the relevance of economies of scale, vessel ownership, and climatic factors among others, with improved cost effectiveness, and revenue efficiency frontier-enhancing/inefficiency-reducing effects, following the implementation of the new regime. Within either modelling approach, inefficiency differs marginally across regression specifications, but mismatches in levels and rankings emerge between parametric and semiparametric models. Relative to southern hake catches by Falkland trawlers, the semiparametric approach suggests upward shifts in output frontiers under the new fishery regime, with inefficiency scores substantially unaltered between two functional specifications.

Suggested Citation

  • 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.
  • Handle: RePEc:kap:enreec:v:79:y:2021:i:2:d:10.1007_s10640-021-00557-x
    DOI: 10.1007/s10640-021-00557-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10640-021-00557-x
    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/s10640-021-00557-x?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. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten I. & Rutström, E. Elisabet, 2014. "Discounting behavior: A reconsideration," European Economic Review, Elsevier, vol. 71(C), pages 15-33.
    2. Weitzman, Martin L., 2002. "Landing Fees vs Harvest Quotas with Uncertain Fish Stocks," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 325-338, March.
    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. Richard G. Newell & Kerry L. Papps & James N. Sanchirico, 2007. "Asset Pricing in Created Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 259-272.
    5. Hannesson, Rognvaldur & Kennedy, John O.S., 2007. "Rent-Maximization versus Competition in the Western and Central Pacific Tuna Fishery," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 9458, Australian Agricultural and Resource Economics Society.
    6. Kortelainen, Mika, 2008. "Estimation of semiparametric stochastic frontiers under shape constraints with application to pollution generating technologies," MPRA Paper 9257, University Library of Munich, Germany.
    7. David F. Burgess & Richard O. Zerbe, 2013. "Appropriate discounting for benefit–cost analysis," Chapters, in: Scott O. Farrow & Richard Zerbe, Jr. (ed.), Principles and Standards for Benefit–Cost Analysis, chapter 7, pages 247-263, Edward Elgar Publishing.
    8. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    9. Mutz, Rüdiger & Bornmann, Lutz & Daniel, Hans-Dieter, 2017. "Are there any frontiers of research performance? Efficiency measurement of funded research projects with the Bayesian stochastic frontier analysis for count data," Journal of Informetrics, Elsevier, vol. 11(3), pages 613-628.
    10. Eggert, Håkan, 2001. "Technical efficiency in the Swedish trawl fishery for Norway lobster," Working Papers in Economics 53, University of Gothenburg, Department of Economics.
    11. Grigorios Emvalomatis, 2012. "Adjustment and unobserved heterogeneity in dynamic stochastic frontier models," Journal of Productivity Analysis, Springer, vol. 37(1), pages 7-16, February.
    12. V Sena, 2003. "The Frontier Approach to the Measurement of Productivity and Technical Efficiency," Economic Issues Journal Articles, Economic Issues, vol. 8(2), pages 71-97, September.
    13. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," CER-ETH Economics working paper series 13/171, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    14. Rafik Baccouche & Mokhtar Kouki, 2003. "Stochastic Production Frontier and Technical Inefficiency: A Sensitivity Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 22(1), pages 79-91, February.
    15. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    16. Freeman, Mark C. & Groom, Ben & Panopoulou, Ekaterini & Pantelidis, Theologos, 2015. "Declining discount rates and the Fisher Effect: Inflated past, discounted future?," Journal of Environmental Economics and Management, Elsevier, vol. 73(C), pages 32-49.
    17. García-Enríquez, Javier & Murillas-Maza, Arantza & Arteche, Josu, 2016. "Economic structure of fishing activity: An analysis of mackerel fishery management in the Basque Country," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 16(01), June.
    18. Oecd, 2017. "Sustaining Iceland’s fisheries through tradeable quotas: Country Study," OECD Environment Policy Papers 9, OECD Publishing.
    19. Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-374, October.
    20. Traeger, Christian P., 2013. "Discounting under uncertainty: Disentangling the Weitzman and the Gollier effect," Journal of Environmental Economics and Management, Elsevier, vol. 66(3), pages 573-582.
    21. 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.
    22. Kodde, David A & Palm, Franz C, 1986. "Wald Criteria for Jointly Testing Equality and Inequality Restriction s," Econometrica, Econometric Society, vol. 54(5), pages 1243-1248, September.
    23. Anna M. Birkenbach & Andreea L. Cojocaru & Frank Asche & Atle G. Guttormsen & Martin D. Smith, 2020. "Seasonal Harvest Patterns in Multispecies Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(3), pages 631-655, March.
    24. Pinkerton, Evelyn, 2013. "Alternatives to ITQs in equity–efficiency–effectiveness trade-offs: How the lay-up system spread effort in the BC halibut fishery," Marine Policy, Elsevier, vol. 42(C), pages 5-13.
    25. Keisaku Higashida & Yasuhiro Takarada, 2011. "On Efficiency of Individual Transferable Quotas (ITQs) through Reduction of Vessels," Discussion Paper Series 68, School of Economics, Kwansei Gakuin University, revised Jan 2011.
    26. Kompas, Tom & Dichmont, Cathy M. & Punt, Andre E. & Deng, A. & Che, Tuong Nhu & Bishop, Janet & Gooday, Peter & Ye, Yemin & Zhou, S., 2010. "Maximizing profits and conserving stocks in the Australian Northern Prawn Fishery," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 1-19.
    27. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    28. Andries Richter & Anne Maria Eikeset & Daan Soest & Florian Klaus Diekert & Nils Chr. Stenseth, 2018. "Optimal Management Under Institutional Constraints: Determining a Total Allowable Catch for Different Fleet Segments in the Northeast Arctic Cod Fishery," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 69(4), pages 811-835, April.
    29. Frank Asche & Andreea L. Cojocaru & Ruth B. M. Pincinato & Kristin H. Roll, 2020. "Production Risk in the Norwegian Fisheries," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(1), pages 137-149, January.
    30. Costello, Christopher J & Deacon, Robert T, 2007. "The Efficiency Gains from Fully Delineating Rights in an ITQ Fishery," University of California at Santa Barbara, Economics Working Paper Series qt56n8x9qb, Department of Economics, UC Santa Barbara.
    31. Tracey Mangin & Christopher Costello & James Anderson & Ragnar Arnason & Matthew Elliott & Steve D Gaines & Ray Hilborn & Emily Peterson & Rashid Sumaila, 2018. "Are fishery management upgrades worth the cost?," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-24, September.
    32. Colin W. Clark & Gordon R. Munro, 2017. "Capital Theory and the Economics of Fisheries: Implications for Policy," Marine Resource Economics, University of Chicago Press, vol. 32(2), pages 123-142.
    33. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-333, March.
    34. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.
    35. Tim Coelli & Sergio Perelman, 2000. "Technical efficiency of European railways: a distance function approach," Applied Economics, Taylor & Francis Journals, vol. 32(15), pages 1967-1976.
    36. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    37. Sherry L. Larkin & Sergio Alvarez & Gil Sylvia & Michael Harte, 2011. "Practical Considerations in Using Bioeconomic Modelling for Rebuilding Fisheries," OECD Food, Agriculture and Fisheries Papers 38, OECD Publishing.
    38. Newell, Richard G. & Papps, Kerry L. & Sanchirico, James N., 2007. "AJAE Appendix: Asset Pricing in Created Markets," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(2), pages 1-4, May.
    39. Coelli, Tim & Perelman, Sergio, 1999. "A comparison of parametric and non-parametric distance functions: With application to European railways," European Journal of Operational Research, Elsevier, vol. 117(2), pages 326-339, September.
    40. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1.
    41. 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.
    42. Christian Elleby & Frank Jensen, 2018. "How Many Instruments Do We Really Need? A First-Best Optimal Solution to Multiple Objectives with Fisheries Regulation," IFRO Working Paper 2018/05, University of Copenhagen, Department of Food and Resource Economics.
    43. Pitt, Mark M. & Lee, Lung-Fei, 1981. "The measurement and sources of technical inefficiency in the Indonesian weaving industry," Journal of Development Economics, Elsevier, vol. 9(1), pages 43-64, August.
    44. Wall, Charles A. & Fisher, Brian S., 1988. "Supply Response and the Theory of Production and Profit Functions," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(03), pages 1-22, December.
    45. Timothy J. Coelli & D.S. Prasada Rao & Christopher J. O’Donnell & George E. Battese, 2005. "An Introduction to Efficiency and Productivity Analysis," Springer Books, Springer, edition 0, number 978-0-387-25895-9, December.
    46. Yangseon Kim & Peter Schmidt, 2000. "A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Efficiency Levels in Stochastic Frontier Models with Panel Data," Journal of Productivity Analysis, Springer, vol. 14(2), pages 91-118, September.
    47. Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
    48. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.
    49. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    50. Burgess, David F. & Zerbe, Richard O., 2011. "Appropriate Discounting for Benefit-Cost Analysis," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 2(2), pages 1-20, April.
    51. Daniel S. Holland & Jon G. Sutinen, 2000. "Location Choice in New England Trawl Fisheries: Old Habits Die Hard," Land Economics, University of Wisconsin Press, vol. 76(1), pages 133-149.
    52. Akihito Asano & Kelly Neill & Satoshi Yamazaki, 2016. "Decomposing Fishing Effort: Modelling The Sources Of Inefficiency In A Limited-Entry Fishery," Economics Discussion / Working Papers 16-23, The University of Western Australia, Department of Economics.
    53. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    54. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Ali M. Oumer & Amin Mugera & Michael Burton & Atakelty Hailu, 2022. "Technical efficiency and firm heterogeneity in stochastic frontier models: application to smallholder maize farms in Ethiopia," Journal of Productivity Analysis, Springer, vol. 57(2), pages 213-241, April.
    2. Gralka, Sabine, 2018. "Stochastic frontier analysis in higher education: A systematic review," CEPIE Working Papers 05/18, Technische Universität Dresden, Center of Public and International Economics (CEPIE).
    3. Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
    4. Mike Tsionas & Marwan Izzeldin & Arne Henningsen & Evaggelos Paravalos, 2022. "Addressing endogeneity when estimating stochastic ray production frontiers: a Bayesian approach," Empirical Economics, Springer, vol. 62(3), pages 1345-1363, March.
    5. Willam Greene, 2005. "Fixed and Random Effects in Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 23(1), pages 7-32, January.
    6. William Greene, 2004. "Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization's panel data on national health care systems," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 959-980, October.
    7. Michael Danquah and Bazoumana Ouattara, 2018. "Comparison of Stochastic Frontier Approaches for Estimating National Efficiency: An Application to Sub-Saharan African Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 43(3), pages 119-142, September.
    8. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    9. Jyotsna Rosario & K.R. Shanmugam, 2024. "Elementary Education Outcome Efficiency of Indian States: A Ray Frontier Approach," Working Papers 2024-264, Madras School of Economics,Chennai,India.
    10. Ben Amor, Tawfik & Mellah, Thuraya, 2023. "Cost efficiency of Tunisian water utility districts: Does heterogeneity matter?," Utilities Policy, Elsevier, vol. 84(C).
    11. Amjadi, Golnaz & Lundgren, Tommy, 2022. "Is industrial energy inefficiency transient or persistent? Evidence from Swedish manufacturing," Applied Energy, Elsevier, vol. 309(C).
    12. Heike Wetzel, 2008. "Productivity Growth in European Railways: Technological Progress,Efficiency Change and Scale Effects," Working Paper Series in Economics 101, University of Lüneburg, Institute of Economics.
    13. Concetta Castiglione & Davide Infante & Marta Zieba, 2018. "Technical efficiency in the Italian performing arts companies," Small Business Economics, Springer, vol. 51(3), pages 609-638, October.
    14. Castiglione, Concetta & Infante, Davide & Zieba, Marta, 2023. "Public support for performing arts. Efficiency and productivity gains in eleven European countries," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    15. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    16. William Horrace & Seth Richards-Shubik & Ian Wright, 2015. "Expected efficiency ranks from parametric stochastic frontier models," Empirical Economics, Springer, vol. 48(2), pages 829-848, March.
    17. Liu, Xiao-Yan & Pollitt, Michael G. & Xie, Bai-Chen & Liu, Li-Qiu, 2019. "Does environmental heterogeneity affect the productive efficiency of grid utilities in China?," Energy Economics, Elsevier, vol. 83(C), pages 333-344.
    18. Kellermann, Magnus A., 2015. "Total Factor Productivity Decomposition and Unobserved Heterogeneity in Stochastic Frontier Models," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 44(1), pages 1-25, April.
    19. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    20. Per J. Agrell & Mehdi Farsi & Massimo Filippini & Martin Koller, 2013. "Unobserved heterogeneous effects in the cost efficiency analysis of electricity distribution systems," Working Papers 0038, Swiss Economics.

    More about this item

    Keywords

    Fishery efficiency; Sustainability; Individual transferable effort quota; Stochastic frontier; Panel data models; Falkland Islands;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q28 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Government Policy

    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:79:y:2021:i:2:d:10.1007_s10640-021-00557-x. 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.