IDEAS home Printed from https://ideas.repec.org/a/zbw/espost/206689.html
   My bibliography  Save this article

Human behaviour versus optimising agents and the resilience of farms – Insights from agent-based participatory experiments with FarmAgriPoliS

Author

Listed:
  • Appel, Franziska
  • Balmann, Alfons

Abstract

This paper aims to examine the extent to which human participants show higher resilience compared to computer agents in agent-based participatory experiments. We motivate and examine three types of resilient behaviour of farmers during a crisis or as response to competitive pressure: successful survival, loss-minimising farm exits, and path breaking respectively path creating growth strategies. Our experiments revealed that human decision makers recognised and exploited such resilient strategies in periods of crisis or under challenging circumstances in general better than myopic optimising agents, although they did not perform better on average. The reason can be seen in a substantial heterogeneity of human decision makers, for which we identified four categories: negligent gamblers, actors missing opportunities, solid farm managers and successful path breakers.

Suggested Citation

  • Appel, Franziska & Balmann, Alfons, 2019. "Human behaviour versus optimising agents and the resilience of farms – Insights from agent-based participatory experiments with FarmAgriPoliS," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40, pages 1-1.
    • Handle: RePEc:zbw:espost:206689
    DOI: 10.1016/j.ecocom.2018.08.005
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/206689/1/Appel_2019_agent_based_participatory_experiments.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.1016/j.ecocom.2018.08.005?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
    ---><---

    References listed on IDEAS

    as
    1. Appel, Franziska & Balmann, Alfons & Dong, Changxing & Rommel, Jens, 2018. "FarmAgriPoliS: An agricultural business management game for behavioral experiments, teaching, and gaming," IAMO Discussion Papers 271455, Institute of Agricultural Development in Transition Economies (IAMO).
    2. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    3. repec:zbw:iamodp:271455 is not listed on IDEAS
    4. Balmann, Alfons & Odening, Martin & Weikard, Hans-Peter & Brandes, Wilhelm, 1996. "Path-dependence without increasing returns to scale and network externalities," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 159-172, January.
    5. Olivier Barreteau, 2003. "Our Companion Modelling Approach," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(2), pages 1-1.
    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. Huber, Robert & Bartkowski, Bartosz & Brown, Calum & El Benni, Nadja & Feil, Jan-Henning & Grohmann, Pascal & Joormann, Ineke & Leonhardt, Heidi & Mitter, Hermine & Müller, Birgit, 2024. "Farm typologies for understanding farm systems and improving agricultural policy," Agricultural Systems, Elsevier, vol. 213(C).
    2. Shang, Linmei & Wang, Jifeng & Schäfer, David & Heckelei, Thomas & Gall, Juergen & Appel, Franziska & Storm, Hugo, 2024. "Surrogate modelling of a detailed farm‐level model using deep learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 75(1), pages 235-260.
    3. Marius Eisele & Christian Troost & Thomas Berger, 2021. "How Bayesian Are Farmers When Making Climate Adaptation Decisions? A Computer Laboratory Experiment for Parameterising Models of Expectation Formation," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 805-828, September.
    4. Robert Huber & Hang Xiong & Kevin Keller & Robert Finger, 2022. "Bridging behavioural factors and standard bio‐economic modelling in an agent‐based modelling framework," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 35-63, February.
    5. Seidel, Claudia & Shang, Linmei & Britz, Wolfgang, 2023. "A critical assessment of neural networks as meta-model of a farm optimization model," Discussion Papers 338200, University of Bonn, Institute for Food and Resource Economics.
    6. Nyberg, Ylva & Wetterlind, Johanna & Jonsson, Mattias & Öborn, Ingrid, 2020. "The role of trees and livestock in ecosystem service provision and farm priorities on smallholder farms in the Rift Valley, Kenya," Agricultural Systems, Elsevier, vol. 181(C).

    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. Appel, F. & Balmann, A., 2018. "Predator or prey? - Effects of fast-growing farms on their neighborhood," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277358, International Association of Agricultural Economists.
    2. Franziska Appel & Alfons Balmann, 2023. "Predator or prey? Effects of farm growth on neighbouring farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 214-236, February.
    3. Balmann, Alfons & Valentinov, Vladislav, 2016. "Towards a Theory of Structural Change in Agriculture: Just Economics?," 149th Seminar, October 27-28, 2016, Rennes, France 246420, European Association of Agricultural Economists.
    4. Altug Yalcintas, 2012. "A notion evolving: From 'institutional path dependence' to 'intellectual path dependence'," Economics Bulletin, AccessEcon, vol. 32(2), pages 1091-1098.
    5. Ozge Dilaver, 2015. "From Participants to Agents: Grounded Simulation as a Mixed-Method Research Design," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 18(1), pages 1-15.
    6. Marechal, Kevin, 2007. "The economics of climate change and the change of climate in economics," Energy Policy, Elsevier, vol. 35(10), pages 5181-5194, October.
    7. Happe, Kathrin & Balmann, Alfons & Kellermann, Konrad, 2004. "The agricultural policy simulator (AgriPoliS): an agent-based model to study structural change in agriculture (Version 1.0)," IAMO Discussion Papers 71, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    8. Scott, Peter, 2001. "Path Dependence and Britain's "Coal Wagon Problem"," Explorations in Economic History, Elsevier, vol. 38(3), pages 366-385, July.
    9. Maria Minniti & William Bygrave, 2001. "A Dynamic Model of Entrepreneurial Learning," Entrepreneurship Theory and Practice, , vol. 25(3), pages 5-16, April.
    10. Beomjin Choi & T. S. Raghu & Ajay Vinzé & Kevin J. Dooley, 2019. "Effectiveness of standards consortia: Social network perspectives," Information Systems Frontiers, Springer, vol. 21(2), pages 405-416, April.
    11. Zhang, Feng & Jiang, Guohua & Cantwell, John A., 2015. "Subsidiary exploration and the innovative performance of large multinational corporations," International Business Review, Elsevier, vol. 24(2), pages 224-234.
    12. Petersen, Alexander M. & Rotolo, Daniele & Leydesdorff, Loet, 2016. "A triple helix model of medical innovation: Supply, demand, and technological capabilities in terms of Medical Subject Headings," Research Policy, Elsevier, vol. 45(3), pages 666-681.
    13. Pascal Petit, 2010. "Innovation and Services: On Biases and Beyond," Chapters, in: Faïz Gallouj & Faridah Djellal (ed.), The Handbook of Innovation and Services, chapter 17, Edward Elgar Publishing.
    14. Yunyao Li & Yanji Ma, 2022. "Research on Industrial Innovation Efficiency and the Influencing Factors of the Old Industrial Base Based on the Lock-In Effect, a Case Study of Jilin Province, China," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    15. Wenjun Guo & Wei Zhao & Min Min, 2022. "Operation Scale, Transfer Experience, and Farmers’ Willingness toward Farmland Transfer-In: A Case Study of Rice–Crayfish Cultivating Regions in China," Sustainability, MDPI, vol. 14(7), pages 1-16, March.
    16. McKelvey, Bill & Wycisk, Christine & Hülsmann, Michael, 2009. "Designing an electronic auction market for complex 'smart parts' logistics: Options based on LeBaron's computational stock market," International Journal of Production Economics, Elsevier, vol. 120(2), pages 476-494, August.
    17. Steven N. Durlauf, 1996. "Statistical Mechanics Approaches to Socioeconomic Behavior," NBER Technical Working Papers 0203, National Bureau of Economic Research, Inc.
    18. Matteo Migheli & Giovanni B. Ramello, 2013. "Open Access, Social Norms & Publication Choice," ICER Working Papers 03-2013, ICER - International Centre for Economic Research.
    19. Elert, Niklas & Henrekson, Magnus, 2017. "Entrepreneurship and Institutions: A Bidirectional Relationship," Working Paper Series 1153, Research Institute of Industrial Economics, revised 05 May 2017.
    20. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.

    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:zbw:espost:206689. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/zbwkide.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.