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Governance in social-ecological agent-based models: a review

Author

Listed:
  • Amélie Bourceret

    (UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

  • Laurence Amblard

    (Territoires - Territoires - AgroParisTech - VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - UCA - Université Clermont Auvergne)

  • Jean-Denis Mathias

    (UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

Analyzing governance is particularly important for understanding and managing social-ecological systems (SES). Governance systems influence interactions between actors and the ecological system and are in turn influenced by the changes that occur in the actors' and ecological systems. Agent-based models (ABM) are well adapted for studying SES, for exploring interactions and the resulting collective behavior and for predicting the results of management processes. Considering the potential of ABM to analyze SES, we performed a literature review of the modeling of governance in ABM of SES and highlight the perspectives and challenges surrounding this issue. Our results show in particular that a significant share of the literature is not explicitly based on theories supporting the modeling of governance and actors' decision making. Regarding the conceptualization of governance, formal and informal institutions are rarely represented compared with diverse modes of governance. The governance modes that are mostly modeled are state interventions whereas the community-based and market-based modes of governance are scarcely represented. Finally, the overview of how interactions between governance and SES are operationalized in ABM highlights two main forms of implementation of governance: variable-based and agent-based implementations. The corresponding sets of models differ in terms of main theoretical background, types of governance modes represented or presence of interactions. Therefore, we recommend moving toward a greater diversity in the representation of governance and toward a better implementation of the dynamics of models, which can be facilitated by the explicit use of theories supporting the modeling of governance and the decision making of actors and by the representation ofgovernance as an agent.

Suggested Citation

  • Amélie Bourceret & Laurence Amblard & Jean-Denis Mathias, 2021. "Governance in social-ecological agent-based models: a review," Post-Print hal-03271179, HAL.
  • Handle: RePEc:hal:journl:hal-03271179
    DOI: 10.5751/ES-12440-260238
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    Citations

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    Cited by:

    1. Bourceret, Amélie & Amblard, Laurence & Mathias, Jean-Denis, 2022. "Adapting the governance of social–ecological systems to behavioural dynamics: An agent-based model for water quality management using the theory of planned behaviour," Ecological Economics, Elsevier, vol. 194(C).
    2. Ming Li & Yukuan Wang & Congshan Tian & Liang Emlyn Yang & Md. Sarwar Hossain, 2022. "Defining Household Typologies Based on Cropland Use Behaviors for Rural Human-Environment Systems Simulation Research: A Case Study in Southwest China," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    3. Matthew R. Auer, 2024. "Wildfire risk and insurance: research directions for policy scientists," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(2), pages 459-484, June.

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