IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/228.html
   My bibliography  Save this paper

Do Models Improve Fishery Management? Empirical Evidence from a Experimental Study

Author

Listed:

Abstract

At the initial stage of this project, the project group consisted of Asbjørn Aaheim, Magnus Hatlebakk and the authors. The authors are grateful for the discussion with the other project participants at this stage. We also had very useful discussion with the marine researcher Sigurd Tjelmeland about the design of the virtual reality. Thanks also to Solfrid Malo for assistance during some of the experiments. Ådne Cappelen, Øystein Olsen and Karine Nyborg has given helpful comments on an earlier draft of the paper. The usual disqualifier applies.

Suggested Citation

  • Kjell Arne Brekke & Erling Moxnes, 1998. "Do Models Improve Fishery Management? Empirical Evidence from a Experimental Study," Discussion Papers 228, Statistics Norway, Research Department.
    • Handle: RePEc:ssb:dispap:228
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp228.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sterman, John D., 1989. "Misperceptions of feedback in dynamic decision making," Organizational Behavior and Human Decision Processes, Elsevier, vol. 43(3), pages 301-335, June.
    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. Pastore, Erica & Alfieri, Arianna & Zotteri, Giulio, 2019. "An empirical investigation on the antecedents of the bullwhip effect: Evidence from the spare parts industry," International Journal of Production Economics, Elsevier, vol. 209(C), pages 121-133.
    2. Berry, D. & Naim, M. M., 1996. "Quantifying the relative improvements of redesign strategies in a P.C. supply chain," International Journal of Production Economics, Elsevier, vol. 46(1), pages 181-196, December.
    3. Towill, Denis R. & Zhou, Li & Disney, Stephen M., 2007. "Reducing the bullwhip effect: Looking through the appropriate lens," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 444-453, July.
    4. Oliva, Rogelio, 2003. "Model calibration as a testing strategy for system dynamics models," European Journal of Operational Research, Elsevier, vol. 151(3), pages 552-568, December.
    5. Hazhir Rahmandad & Nelson Repenning, 2016. "Capability erosion dynamics," Strategic Management Journal, Wiley Blackwell, vol. 37(4), pages 649-672, April.
    6. Ma, Yungao & Wang, Nengmin & He, Zhengwen & Lu, Jizhou & Liang, Huigang, 2015. "Analysis of the bullwhip effect in two parallel supply chains with interacting price-sensitive demands," European Journal of Operational Research, Elsevier, vol. 243(3), pages 815-825.
    7. Rich, Karl M. & Ross, R. Brent & Baker, A. Derek & Negassa, Asfaw, 2011. "Quantifying value chain analysis in the context of livestock systems in developing countries," Food Policy, Elsevier, vol. 36(2), pages 214-222, April.
    8. Li Chen & Hau L. Lee, 2012. "Bullwhip Effect Measurement and Its Implications," Operations Research, INFORMS, vol. 60(4), pages 771-784, August.
    9. Hazhir Rahmandad, 2012. "Impact of Growth Opportunities and Competition on Firm-Level Capability Development Trade-offs," Organization Science, INFORMS, vol. 23(1), pages 138-154, February.
    10. Gérard P. Cachon & Paul H. Zipkin, 1999. "Competitive and Cooperative Inventory Policies in a Two-Stage Supply Chain," Management Science, INFORMS, vol. 45(7), pages 936-953, July.
    11. Sobratee-Fajurally, N. & Mabhaudhi, Tafadzwanashe, 2022. "Inclusive sustainable landscape management in West and Central Africa: enabling co-designing contexts for systemic sensibility," IWMI Books, Reports H051652, International Water Management Institute.
    12. Zhang, Xiaolong & Burke, Gerard J., 2011. "Analysis of compound bullwhip effect causes," European Journal of Operational Research, Elsevier, vol. 210(3), pages 514-526, May.
    13. Lin, Jinchai & Fan, Ruguo & Tan, Xianchun & Zhu, Kaiwei, 2021. "Dynamic decision and coordination in a low-carbon supply chain considering the retailer's social preference," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    14. Arunachalam Narayanan & Brent B. Moritz, 2015. "Decision Making and Cognition in Multi-Echelon Supply Chains: An Experimental Study," Production and Operations Management, Production and Operations Management Society, vol. 24(8), pages 1216-1234, August.
    15. Charles L. Munson & Jianli Hu & Meir J. Rosenblatt, 2003. "Teaching the Costs of Uncoordinated Supply Chains," Interfaces, INFORMS, vol. 33(3), pages 24-39, June.
    16. Rosanna Cole & Brent Snider, 2020. "Rolling the Dice on Global Supply Chain Sustainability: A Total Cost of Ownership Simulation," INFORMS Transactions on Education, INFORMS, vol. 20(3), pages 165-176, May.
    17. F Ackermann & C Eden & T Williams & S Howick, 2007. "Systemic risk assessment: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(1), pages 39-51, January.
    18. Xuanming Su, 2008. "Bounded Rationality in Newsvendor Models," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 566-589, May.
    19. Florian Kapmeier, 2020. "Reflections on developing a simulation model on sustainable and healthy diets for decision makers: Comment on the paper by Kopainsky," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(6), pages 928-935, November.
    20. Rana Azghandi & Jacqueline Griffin & Mohammad S. Jalali, 2018. "Minimization of Drug Shortages in Pharmaceutical Supply Chains: A Simulation-Based Analysis of Drug Recall Patterns and Inventory Policies," Complexity, Hindawi, vol. 2018, pages 1-14, December.

    More about this item

    Keywords

    Experiment; theory management;

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery

    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:ssb:dispap:228. 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: L Maasø (email available below). General contact details of provider: https://edirc.repec.org/data/ssbgvno.html .

    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.