IDEAS home Printed from https://ideas.repec.org/a/spr/comaot/v14y2008i4d10.1007_s10588-008-9036-0.html
   My bibliography  Save this article

Modelling societal transitions with agent transformation

Author

Listed:
  • Michel Schilperoord

    (Erasmus University Rotterdam)

  • Jan Rotmans

    (Erasmus University Rotterdam)

  • Noam Bergman

    (University of Oxford)

Abstract

Transition models explain long-term and large-scale processes fundamentally changing the structure of a societal system. Our concern is that most transition models are too static. Although they capture a move of focus from static equilibria to transitions between dynamic equilibria, they are still rooted in an “equilibriumist” approach. Improvement is possible with agent-based models that give attention to endogenous system processes called “transformation processes”. These models can render far more dynamic pictures of societal systems in transition, and are no longer remote from descriptions in the emerging transition literature.

Suggested Citation

  • Michel Schilperoord & Jan Rotmans & Noam Bergman, 2008. "Modelling societal transitions with agent transformation," Computational and Mathematical Organization Theory, Springer, vol. 14(4), pages 283-301, December.
    • Handle: RePEc:spr:comaot:v:14:y:2008:i:4:d:10.1007_s10588-008-9036-0
    DOI: 10.1007/s10588-008-9036-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10588-008-9036-0
    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/s10588-008-9036-0?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. Geels, Frank W. & Schot, Johan, 2007. "Typology of sociotechnical transition pathways," Research Policy, Elsevier, vol. 36(3), pages 399-417, April.
    2. Kollman, Ken & Miller, John H. & Page, Scott E., 1998. "Political Parties and Electoral Landscapes," British Journal of Political Science, Cambridge University Press, vol. 28(1), pages 139-158, January.
    3. Noam Bergman & Alex Haxeltine & Lorraine Whitmarsh & Jonathan Köhler & Michel Schilperoord & Jan Rotmans, 2008. "Modelling Socio-Technical Transition Patterns and Pathways," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-7.
    4. Koen Frenken, 2006. "Innovation, Evolution and Complexity Theory," Books, Edward Elgar Publishing, number 2939.
    5. Kollman, Ken & Miller, John H. & Page, Scott E., 1992. "Adaptive Parties in Spatial Elections," American Political Science Review, Cambridge University Press, vol. 86(4), pages 929-937, December.
    6. Rotmans, J., 2005. "Societal Innovation: between dream and reality lies complexity," ERIM Inaugural Address Series Research in Management 7293, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    7. Laver, Michael, 2005. "Policy and the Dynamics of Political Competition," American Political Science Review, Cambridge University Press, vol. 99(2), pages 263-281, May.
    8. Derk Loorbach & Rutger Van Der Brugge & Mattijs Taanman, 2008. "Governance in the energy transition: Practice of transition management in the Netherlands," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 9(2/3), pages 294-315.
    9. Alex Haxeltine & Lorraine Whitmarsh & Noam Bergman & Jan Rotmans & Michel Schilperoord & Jonathan Kohler, 2008. "A Conceptual Framework for transition modelling," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 3(1/2), pages 93-114.
    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. Lopolito, A. & Morone, P. & Taylor, R., 2013. "Emerging innovation niches: An agent based model," Research Policy, Elsevier, vol. 42(6), pages 1225-1238.
    2. Sunio, Varsolo & Mateo-Babiano, Iderlina, 2022. "Pandemics as ‘windows of opportunity’: Transitioning towards more sustainable and resilient transport systems," Transport Policy, Elsevier, vol. 116(C), pages 175-187.
    3. Papachristos, George & Adamides, Emmanuel, 2016. "A retroductive systems-based methodology for socio-technical transitions research," Technological Forecasting and Social Change, Elsevier, vol. 108(C), pages 1-14.
    4. Liam Magee & Andy Scerri & Paul James & James Thom & Lin Padgham & Sarah Hickmott & Hepu Deng & Felicity Cahill, 2013. "Reframing social sustainability reporting: towards an engaged approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 15(1), pages 225-243, February.
    5. Pieter Valkering & Gönenç Yücel & Ernst Gebetsroither-Geringer & Karin Markvica & Erika Meynaerts & Niki Frantzeskaki, 2017. "Accelerating Transition Dynamics in City Regions: A Qualitative Modeling Perspective," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    6. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    7. Scrieciu, S. Şerban & Barker, Terry & Ackerman, Frank, 2013. "Pushing the boundaries of climate economics: critical issues to consider in climate policy analysis," Ecological Economics, Elsevier, vol. 85(C), pages 155-165.

    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. Pieter Valkering & Gönenç Yücel & Ernst Gebetsroither-Geringer & Karin Markvica & Erika Meynaerts & Niki Frantzeskaki, 2017. "Accelerating Transition Dynamics in City Regions: A Qualitative Modeling Perspective," Sustainability, MDPI, vol. 9(7), pages 1-20, July.
    2. Hans Haan, 2008. "The dynamics of functioning investigating societal transitions with partial differential equations," Computational and Mathematical Organization Theory, Springer, vol. 14(4), pages 302-319, December.
    3. Noam Bergman & Alex Haxeltine & Lorraine Whitmarsh & Jonathan Köhler & Michel Schilperoord & Jan Rotmans, 2008. "Modelling Socio-Technical Transition Patterns and Pathways," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-7.
    4. Köhler, Jonathan & Turnheim, Bruno & Hodson, Mike, 2020. "Low carbon transitions pathways in mobility: Applying the MLP in a combined case study and simulation bridging analysis of passenger transport in the Netherlands," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    5. Leonie Geyer & Patrick Mellacher, 2024. "Simulating Party Competition in Dynamic Voter Distributions," Graz Economics Papers 2024-19, University of Graz, Department of Economics.
    6. Lee, Junmin & Kim, Keungoui & Kim, Jiyong & Hwang, Junseok, 2022. "The relationship between shared mobility and regulation in South Korea: A system dynamics approach from the socio-technical transitions perspective," Technovation, Elsevier, vol. 109(C).
    7. Fjalar J. De Haan & Briony C. Rogers, 2019. "The Multi-Pattern Approach for Systematic Analysis of Transition Pathways," Sustainability, MDPI, vol. 11(2), pages 1-30, January.
    8. Michael J. Ensley & Michael W. Tofias & Scott De Marchi, 2009. "District Complexity as an Advantage in Congressional Elections," American Journal of Political Science, John Wiley & Sons, vol. 53(4), pages 990-1005, October.
    9. Lisa-Britt Fischer & Jens Newig, 2016. "Importance of Actors and Agency in Sustainability Transitions: A Systematic Exploration of the Literature," Sustainability, MDPI, vol. 8(5), pages 1-21, May.
    10. Li, Francis G.N. & Trutnevyte, Evelina & Strachan, Neil, 2015. "A review of socio-technical energy transition (STET) models," Technological Forecasting and Social Change, Elsevier, vol. 100(C), pages 290-305.
    11. Köhler, Jonathan & Whitmarsh, Lorraine & Nykvist, Björn & Schilperoord, Michel & Bergman, Noam & Haxeltine, Alex, 2009. "A transitions model for sustainable mobility," Ecological Economics, Elsevier, vol. 68(12), pages 2985-2995, October.
    12. Jean-François Laslier & Bilge Ozturk Goktuna, 2016. "Opportunist politicians and the evolution of electoral competition," Journal of Evolutionary Economics, Springer, vol. 26(2), pages 381-406, May.
    13. Forand, Jean Guillaume, 2014. "Two-party competition with persistent policies," Journal of Economic Theory, Elsevier, vol. 152(C), pages 64-91.
    14. Safarzyńska, Karolina & Frenken, Koen & van den Bergh, Jeroen C.J.M., 2012. "Evolutionary theorizing and modeling of sustainability transitions," Research Policy, Elsevier, vol. 41(6), pages 1011-1024.
    15. Bilge Öztürk Göktuna, 2019. "A dynamic model of party membership and ideologies," Journal of Theoretical Politics, , vol. 31(2), pages 209-243, April.
    16. Canitez, Fatih, 2019. "Pathways to sustainable urban mobility in developing megacities: A socio-technical transition perspective," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 319-329.
    17. Jie-Shin Lin, 2005. "An Analysis on Simulation Models of Competing Parties," Computing in Economics and Finance 2005 284, Society for Computational Economics.
    18. Inga C. Melchior & Jens Newig, 2021. "Governing Transitions towards Sustainable Agriculture—Taking Stock of an Emerging Field of Research," Sustainability, MDPI, vol. 13(2), pages 1-27, January.
    19. Vjollca Sadiraj & Jan Tuinstra & Frans Winden, 2006. "A computational electoral competition model with social clustering and endogenous interest groups as information brokers," Public Choice, Springer, vol. 129(1), pages 169-187, October.
    20. Smith, Adrian & Voß, Jan-Peter & Grin, John, 2010. "Innovation studies and sustainability transitions: The allure of the multi-level perspective and its challenges," Research Policy, Elsevier, vol. 39(4), pages 435-448, May.

    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:spr:comaot:v:14:y:2008:i:4:d:10.1007_s10588-008-9036-0. 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.