IDEAS home Printed from https://ideas.repec.org/a/eee/respol/v52y2023i9s0048733323001488.html
   My bibliography  Save this article

Explaining technical change and its impacts over the very long term: The case of the Atlantic sardine fishery in France from 1900 to 2017

Author

Listed:
  • Le Floc'h, Pascal
  • Merzéréaud, Mathieu
  • Beckensteiner, Jennifer
  • Alban, Frédérique
  • Duhamel, Erwan
  • Thébaud, Olivier
  • Wilson, James

Abstract

As an industry based upon the harvesting of wild resources, the fishery is often used in economics to showcase the effects of its specific nature on human behavior and the impacts of that behavior on the fish stock itself. The common-pool status usually encountered in the use of these resources makes them especially vulnerable to major shifts in the supporting ecosystems, but also to rapid technical change. In most other parts of the economy, technical change and the creative destruction that it brings along are viewed positively, and even given central role in recent theories of growth. Happily for the creatures of the ocean that are hunted, fishers do not fit the mould of Schumpetarian entrepreneurs bent on creative destruction. However, the technology that does drift onto boats has had concerning effects on the status of fish stocks with important economic and cultural consequences. We present a narrative of the French sardine fishery using the evolutionary theory of technical change. The wild binary segmentation approach was applied on a time-series of French sardine landings from 1900 to 2017. This analysis revealed three significant production change points associated with important technical changes in the fishery. The first change point, in 1927, is related to the introduction of the purse-seine in France. The introduction of the mid-water trawl is the second change point in the early 1970s. A third change point occurred in 1998, where we see a reswitch from mid-water trawl to purse-seine. Collectively, these results highlight the technological changes in sardine production that occurred, but more importantly, the impacts of these changes both on the structure of the population of sardines, and on the industry. The lesson we derive from this case study is that technical change should be considered as a succession of shifts rather than a unidirectional history.

Suggested Citation

  • Le Floc'h, Pascal & Merzéréaud, Mathieu & Beckensteiner, Jennifer & Alban, Frédérique & Duhamel, Erwan & Thébaud, Olivier & Wilson, James, 2023. "Explaining technical change and its impacts over the very long term: The case of the Atlantic sardine fishery in France from 1900 to 2017," Research Policy, Elsevier, vol. 52(9).
  • Handle: RePEc:eee:respol:v:52:y:2023:i:9:s0048733323001488
    DOI: 10.1016/j.respol.2023.104864
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0048733323001488
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.respol.2023.104864?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. Salladarré, Frédéric & Guillotreau, Patrice & Debucquet, Gervaise & Lazuech, Gilles, 2018. "Some Good Reasons for Buying Fish Exclusively From Community-Supported Fisheries: The Case of Yeu Island in France," Ecological Economics, Elsevier, vol. 153(C), pages 172-180.
    2. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    3. Le Floc'h, Pascal & Fuchs, Jacques & Ifremer, 2001. "Economics of science in fishery sector--the European case," Marine Policy, Elsevier, vol. 25(2), pages 133-142, March.
    4. Squires, Dale & Vestergaard, Niels, 2018. "Rethinking the commons problem: Technical change, knowledge spillovers, and social learning," Journal of Environmental Economics and Management, Elsevier, vol. 91(C), pages 1-25.
    5. Pascal Le Floc’h & Fabienne Daurès & Olivier Guyader & James Wilson, 2012. "A Case Study of Technological Switching and Technological Lock-In in the French Fisheries Sector: Why is Sustainable Change so Difficult?," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 60(4), pages 541-559, December.
    6. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    7. Dosi, Giovanni, 1993. "Technological paradigms and technological trajectories : A suggested interpretation of the determinants and directions of technical change," Research Policy, Elsevier, vol. 22(2), pages 102-103, April.
    8. Daniel V. Gordon & Rögnvaldur Hannesson, 2015. "The Norwegian Winter Herring Fishery: A Story of Technological Progress and Stock Collapse," Land Economics, University of Wisconsin Press, vol. 91(2), pages 362-385.
    9. Jan Fagerberg & David C Mowery & Bart Verspagen, 2009. "The evolution of Norway's national innovation system," Science and Public Policy, Oxford University Press, vol. 36(6), pages 431-444, July.
    10. Giovanni Dosi, 1984. "Technical Change and Industrial Transformation: The Patterns of Industrial Dynamics," Palgrave Macmillan Books, in: Technical Change and Industrial Transformation, chapter 3, pages 86-217, Palgrave Macmillan.
    11. Dasgupta, Partha & Stiglitz, Joseph, 1980. "Industrial Structure and the Nature of Innovative Activity," Economic Journal, Royal Economic Society, vol. 90(358), pages 266-293, June.
    12. Cooper, Arnold C. & Schendel, Dan, 1976. "Strategic responses to technological threats," Business Horizons, Elsevier, vol. 19(1), pages 61-69, February.
    13. Cowan, Robin & David, Paul A & Foray, Dominique, 2000. "The Explicit Economics of Knowledge Codification and Tacitness," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 9(2), pages 211-253, June.
    14. van Wyk, Rias J. & Wessels, Jacobus P. H., 1987. "Focussing a co-operative industrial research institute: A case study," Research Policy, Elsevier, vol. 16(1), pages 39-48, February.
    15. Rögnvaldur Hannesson & Kjell G. Salvanes & Dale Squires, 2010. "Technological Change and the Tragedy of the Commons: The Lofoten Fishery over 130 Years," Land Economics, University of Wisconsin Press, vol. 86(4), pages 746-765.
    16. Genus, Audley & Coles, Anne-Marie, 2008. "Rethinking the multi-level perspective of technological transitions," Research Policy, Elsevier, vol. 37(9), pages 1436-1445, October.
    17. Fryzlewicz, Piotr, 2014. "Wild binary segmentation for multiple change-point detection," LSE Research Online Documents on Economics 57146, London School of Economics and Political Science, LSE Library.
    18. Kunal Saha & Vinodh Madhavan & Chandrashekhar G. R. & David McMillan, 2020. "Pitfalls in long memory research," Cogent Economics & Finance, Taylor & Francis Journals, vol. 8(1), pages 1733280-173, January.
    19. Pascal Le Floc’h & Frédérique Alban & Mathieu Merzéréaud & Erwan Duhamel, 2020. "Identification des points de rupture dans la série longue des productions de sardine en France (1900-2017)," Revue d'économie industrielle, De Boeck Université, vol. 0(2), pages 49-78.
    20. Gilles Teyssière & Alan P. Kirman (ed.), 2007. "Long Memory in Economics," Springer Books, Springer, number 978-3-540-34625-8, October.
    21. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    22. Youen Vermard & Paul Marchal & Stéphanie Mahévas & Olivier Thébaud, 2008. "A dynamic model of the Bay of Biscay pelagic fleet simulating fishing trip choice: the response to the closure of the European anchovy (Engraulis encrasicolus) fishery in 2005," Post-Print hal-00368317, HAL.
    23. Ruttan, Vernon W, 1997. "Induced Innovation, Evolutionary Theory and Path Dependence:," Economic Journal, Royal Economic Society, vol. 107(444), pages 1520-1529, September.
    24. Meuriot, Eric, 1986. "Fishing fleet replacement , : The French policy from 1945 to 1983," Marine Policy, Elsevier, vol. 10(4), pages 294-309, October.
    25. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    26. Wright, Gavin, 1997. "Towards a More Historical Approach to Technological Change," Economic Journal, Royal Economic Society, vol. 107(444), pages 1560-1566, September.
    27. Pistorius, C. W. I. & Utterback, J. M., 1997. "Multi-mode interaction among technologies," Research Policy, Elsevier, vol. 26(1), pages 67-84, March.
    28. Richard R. Nelson & Sidney G. Winter, 1978. "Forces Generating and Limiting Concentration under Schumpeterian Competition," Bell Journal of Economics, The RAND Corporation, vol. 9(2), pages 524-548, Autumn.
    29. Christopher Freeman, 1991. "Innovation, Changes of Techno-Economic Paradigm and Biological Analogies in Economics," Revue Économique, Programme National Persée, vol. 42(2), pages 211-232.
    30. Charles, Anthony T., 1992. "Fishery conflicts , : A unified framework," Marine Policy, Elsevier, vol. 16(5), pages 379-393, September.
    31. Whitmarsh, David, 1990. "Technological change and marine fisheries development," Marine Policy, Elsevier, vol. 14(1), pages 15-22, January.
    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. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2014. "Causality and contagion in EMU sovereign debt markets," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 12-27.
    2. Erasmo Papagni & Amedeo Lepore & Emanuele Felice & Anna Laura Baraldi & Maria Rosaria Alfano, 2018. "Public Investment and Growth Accelerations: The Case of Southern Italy, 1951-1995," EERI Research Paper Series EERI RP 2018/10, Economics and Econometrics Research Institute (EERI), Brussels.
    3. Harabi, Najib, 1994. "Technischer Fortschritt in der Schweiz: Empirische Ergebnisse aus industrieökonomischer Sicht [Technischer Fortschritt in der Schweiz:Empirische Ergebnisse aus industrieökonomischer Sicht]," MPRA Paper 6725, University Library of Munich, Germany.
    4. Eric Nævdal, 2022. "Productivity and Management of Renewable Resources: Why More Efficient Fishing Fleets Should Fish Less," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(3), pages 409-424, March.
    5. Marcos José Dal Bianco, 2008. "Argentinean real exchange rate 1900-2006, test purchasing power parity theory," Estudios de Economia, University of Chile, Department of Economics, vol. 35(1 Year 20), pages 33-64, June.
    6. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, October.
    7. Samih Antoine Azar & Angelic Salha, 2017. "The Bias in the Long Run Relation between the Prices of BRENT and West Texas Intermediate Crude Oils," International Journal of Energy Economics and Policy, Econjournals, vol. 7(1), pages 44-54.
    8. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    9. Attfield, Cliff & Temple, Jonathan R.W., 2010. "Balanced growth and the great ratios: New evidence for the US and UK," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 937-956, December.
    10. Papagni, Erasmo & Lepore, Amedeo & Felice, Emanuele & Baraldi, Anna Laura & Alfano, Maria Rosaria, 2021. "Public investment and growth: Lessons learned from 60-years experience in Southern Italy," Journal of Policy Modeling, Elsevier, vol. 43(2), pages 376-393.
    11. Francesca Tosi & Francesco Scalone & Rosella Rettaroli, 2023. "Variations in male height during the epidemiological transition in Italy: A cointegration approach," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 48(7), pages 189-202.
    12. Juergen Amann & Paul Middleditch, 2017. "Growth in a time of austerity: evidence from the UK," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 349-375, September.
    13. Matteo Mogliani, 2010. "Residual-based tests for cointegration and multiple deterministic structural breaks: A Monte Carlo study," Working Papers halshs-00564897, HAL.
    14. Kevin S. Nell & Maria M. De Mello, 2019. "The interdependence between the saving rate and technology across regimes: evidence from South Africa," Empirical Economics, Springer, vol. 56(1), pages 269-300, January.
    15. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    16. Wilton Bernardino & João B. Amaral & Nelson L. Paes & Raydonal Ospina & José L. Távora, 2022. "A statistical investigation of a stock valuation model," SN Business & Economics, Springer, vol. 2(8), pages 1-25, August.
    17. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    18. Bertrand Groslambert & Raphaël Chiappini & Olivier Bruno, 2015. "Bank Output Calculation in the Case of France: What Do New Methods Tell About the Financial Intermediation Services in the Aftermath of the Crisis?," GREDEG Working Papers 2015-32, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    19. Bill Russell & Dooruj Rambaccussing, 2019. "Breaks and the statistical process of inflation: the case of estimating the ‘modern’ long-run Phillips curve," Empirical Economics, Springer, vol. 56(5), pages 1455-1475, May.
    20. Ciarli, Tommaso & Ràfols, Ismael, 2019. "The relation between research priorities and societal demands: The case of rice," Research Policy, Elsevier, vol. 48(4), pages 949-967.

    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:eee:respol:v:52:y:2023:i:9:s0048733323001488. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/respol .

    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.