IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i11p2000-d117262.html
   My bibliography  Save this article

Drivers of Labor-Related Indicators across Diverse Mediterranean Fisheries

Author

Listed:
  • Jennifer Gee

    (Food and Agriculture Organization of the United Nations, Viale delle Terme di Caracalla, 00153 Rome, Italy)

  • Dario Pinello

    (Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, Fytoko Street, 38445 Nea Ionia, Magnesia, Greece
    NISEA Fisheries and Aquaculture Economic Research, via Irno 11, 84135 Salerno, Italy)

  • Konstantinos Polymeros

    (Department of Ichthyology and Aquatic Environment, School of Agricultural Sciences, University of Thessaly, Fytoko Street, 38445 Nea Ionia, Magnesia, Greece)

Abstract

This regional case study is focused on employment, remuneration and labor productivity, with a particular emphasis on the interplay between labor productivity and other labor-related indicators and macroeconomic conditions in Italy, Egypt, Lebanon and Greece. Its value lies in the high degree of consistency and comparability of the data, owing to a shared data collection methodology. This has allowed for the compilation of both national and regional comparisons. The data is treated in two groups—the first group consists of national data that considers all the active vessels in a country; the second group focuses on the trawl segments of Italy and Egypt. These two countries present an interesting case study because they are so different in terms of labor productivity and remuneration performance. For instance, in Italy labor shortages have caused a shift in fishing strategies towards less labor-intensive operations to maintain the socioeconomic sustainability of the fisheries, while in Egypt macroeconomic conditions have resulted in a larger labor pool and strong incentives to work in the fisheries sector. The regional study demonstrates that labor-related indicators are interconnected and there is an inversely proportional relationship between labor productivity and remuneration and employment levels. This relationship necessitates a combined analysis. The results across and between the countries were compared, with particular attention given to labor productivity and remuneration in the respective countries with a discussion centred around the potential drivers of labor productivity.

Suggested Citation

  • Jennifer Gee & Dario Pinello & Konstantinos Polymeros, 2017. "Drivers of Labor-Related Indicators across Diverse Mediterranean Fisheries," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2000-:d:117262
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/11/2000/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/9/11/2000/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fagerberg, Jan, 1987. "A technology gap approach to why growth rates differ," Research Policy, Elsevier, vol. 16(2-4), pages 87-99, August.
    2. Dario Pinello & Angelos Liontakis & Alexandra Sintori & Irene Tzouramani & Konstantinos Polymeros, 2016. "Assessing the Efficiency of Small-Scale and Bottom Trawler Vessels in Greece," Sustainability, MDPI, vol. 8(7), pages 1-11, July.
    3. McConnell, Kenneth E. & Price, Michael, 2006. "The lay system in commercial fisheries: Origin and implications," Journal of Environmental Economics and Management, Elsevier, vol. 51(3), pages 295-307, May.
    4. Wade L. Griffin & Ronald D. Lacewell & John P. Nichols, 1976. "Optimum Effort and Rent Distribution in the Gulf of Mexico Shrimp Fishery," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(4_Part_1), pages 644-652.
    5. McCullough, Ellen B., 2017. "Labor productivity and employment gaps in Sub-Saharan Africa," Food Policy, Elsevier, vol. 67(C), pages 133-152.
    6. Walden, John & Fissel, Ben & Squires, Dale & Vestergaard, Niels, 2015. "Productivity change in commercial fisheries: An introduction to the special issue," Marine Policy, Elsevier, vol. 62(C), pages 289-293.
    7. Sutinen, J G, 1979. "Fishermen's Remuneration Systems and Implications for Fisheries Development," Scottish Journal of Political Economy, Scottish Economic Society, vol. 26(2), pages 147-162, June.
    8. Lee G. Anderson, 1982. "The Share System in Open-Access and Optimally Regulated Fisheries," Land Economics, University of Wisconsin Press, vol. 58(4), pages 435-449.
    9. Cyrille Schwellnus & Andreas Kappeler & Pierre-Alain Pionnier, 2017. "Decoupling of wages from productivity: Macro-level facts," OECD Economics Department Working Papers 1373, OECD Publishing.
    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. Cambria Finegold & Mohamed Shehata & Olfat Anwar Habib, 2011. "Productivity, Capital Mobilization and Moral Hazard in Fisheries Share Contracts: Lake Nasser, Egypt," Journal of Social and Development Sciences, AMH International, vol. 1(5), pages 183-193.
    2. Alvin Slewion Jueseah & Dadi Mar Kristofersson & Tumi Tómasson & Ogmundur Knutsson, 2020. "A Bio-Economic Analysis of the Liberian Coastal Fisheries," Sustainability, MDPI, vol. 12(23), pages 1-21, November.
    3. Matthiasson, Thorolfur, 1999. "Cost sharing and catch sharing," Journal of Development Economics, Elsevier, vol. 58(1), pages 25-44, February.
    4. Olivier Guyader, 2002. "Simulating the Effect of Regulatory Systems in a Fishery, An Application to the French Driftnet Albacore Fleet," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 1-28, September.
    5. Matteo G. Richiardi & Luis Valenzuela, 2024. "Firm heterogeneity and the aggregate labour share," LABOUR, CEIS, vol. 38(1), pages 66-101, March.
    6. Alessandro STERLACCHINI, 2006. "Innovation, Knowledge and Regional Economic Performances: Regularities and Differences in the EU," Working Papers 260, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    7. Andrés Rodríguez-Pose & Fabrice Comptour, 2010. "Do clusters generate greater innovation and growth? An analysis of European regions," Working Papers 2010-15, Instituto Madrileño de Estudios Avanzados (IMDEA) Ciencias Sociales.
    8. Christoph Meister & Bart Verspagen & Guntram B. Wolff, 2006. "European Productivity Gaps: Is R&D the Solution?," Chapters, in: Susanne Mundschenk & Michael H. Stierle & Ulrike Stierle-von Schütz & Iulia Traistaru-Siedschlag (ed.), Competitiveness and Growth in Europe, chapter 8, Edward Elgar Publishing.
    9. Borsato, Andrea & Lorentz, André, 2025. "Public science vs. mission-oriented policies in long-run growth: An agent-based model," Structural Change and Economic Dynamics, Elsevier, vol. 74(C), pages 129-146.
    10. Asongu, Simplice & Boateng, Agyenim & Akamavi, Raphael, 2016. "Mobile Phone Innovation and Inclusive Human Development: Evidence from Sub-Saharan Africa," MPRA Paper 75046, University Library of Munich, Germany.
    11. Catherine J. Morrison Paul & Ronald G. Felthoven & Marcelo de O. Torres, 2010. "Productive performance in fisheries: modeling, measurement, and management," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 54(3), pages 343-360, July.
    12. Nomaler, Önder & Verspagen, Bart, 2022. "Canonical correlation complexity of European regions," MERIT Working Papers 2022-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. Giovanni DOSI & Maria Enrica VIRGILLITO, 2019. "Whither the evolution of the contemporary social fabric? New technologies and old socio‐economic trends," International Labour Review, International Labour Organization, vol. 158(4), pages 593-625, December.
    14. Peterson-Wilhelm, Bailey & Schwab, Benjamin, 2024. "How does recall bias in farm labor impact separability tests?," Food Policy, Elsevier, vol. 128(C).
    15. repec:wip:wpaper:3 is not listed on IDEAS
    16. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
    17. Xinshen Diao & Margaret McMillan & Dani Rodrik, 2019. "The Recent Growth Boom in Developing Economies: A Structural-Change Perspective," Springer Books, in: Machiko Nissanke & José Antonio Ocampo (ed.), The Palgrave Handbook of Development Economics, chapter 9, pages 281-334, Springer.
    18. Kondo, M., 2018. "Schooling and Within-Sector Labor Productivity Outcome in Uganda: Joint Estimation of Returns to Education and Labor Supply," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277473, International Association of Agricultural Economists.
    19. Pomeroy, Caroline & Hall-Arber, Madeleine & Conway, Flaxen, 2015. "Power and perspective: Fisheries and the ocean commons beset by demands of development," Marine Policy, Elsevier, vol. 61(C), pages 339-346.
    20. repec:een:camaaa:2004-9 is not listed on IDEAS
    21. Yismaw Ayelign & Lakhwinder Singh, 2019. "Labor productivity of Ethiopian large and Medium Scale Manufacturing Sector," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(3), pages 64-70, September.
    22. Ömer Tuğsal Doruk, 2024. "The Link Between R&D and Financing Constraints in Manufacturing Sectors for Two Emerging Markets," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 12596-12621, September.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jsusta:v:9:y:2017:i:11:p:2000-:d:117262. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.