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Adding Emergence and Spatiality to a Public Bad Game for Studying Dynamics in Socio-Ecological Systems (Part I): The Design of Musa-Game for Integrative Analysis of Collective Action in Banana Disease Management

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  • Julissa Alexandra Galarza-Villamar

    (Knowledge, Technology and Innovation Group, Wageningen University & Research, Hollandseweg 1, 6706 KN Wageningen, The Netherlands
    Escuela Superior Politécnica del Litoral, ESPOL Polytechnic University, Guayaquil 090150, Ecuador)

  • Mariette McCampbell

    (Knowledge, Technology and Innovation Group, Wageningen University & Research, Hollandseweg 1, 6706 KN Wageningen, The Netherlands)

  • Cees Leeuwis

    (Knowledge, Technology and Innovation Group, Wageningen University & Research, Hollandseweg 1, 6706 KN Wageningen, The Netherlands)

  • Francesco Cecchi

    (Development Economics Group, Wageningen University & Research, Hollandseweg 1, 6706 KN Wageningen, The Netherlands)

Abstract

Human decision-making plays a critical and challenging role in the prevention and control of public bads within socio-ecological systems. Farmers daily confront dilemmas regarding public bad management, such as infectious diseases in their crops. Their decisions interplay with multiple factors and may create the risk conditions in which a public bad can occur (e.g., a disease outbreak). This article presents an experimental board game method (DySE) and its contextualized version (Musa-game) to study the effect of individual and collective human actions on creating or preventing a public bad. The DySE method and the Musa-game add emergence and spatiality (both attributes of SES) to the study of public bads and collective action problems. This methodological proposal allows us to build a contextual understanding of how individual and collective actions of various entities lead to typical system outcomes, i.e., conditions that are (un)favourable to pathogens, and individual decisions about infectious disease management. To conceptualize our method, we used the case of Banana Xanthomonas Wilt disease in Rwanda. This research is published as a diptych. Part I (this article) covers the conceptualization and design of Musa-game. Part II presents empirical findings from testing Musa-game with farmers in Rwanda and recommendations for using the method.

Suggested Citation

  • Julissa Alexandra Galarza-Villamar & Mariette McCampbell & Cees Leeuwis & Francesco Cecchi, 2021. "Adding Emergence and Spatiality to a Public Bad Game for Studying Dynamics in Socio-Ecological Systems (Part I): The Design of Musa-Game for Integrative Analysis of Collective Action in Banana Disease," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:16:p:9370-:d:618448
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    Cited by:

    1. Julissa Alexandra Galarza-Villamar & Mariette McCampbell & Andres Galarza-Villamar & Cees Leeuwis & Francesco Cecchi & John Galarza-Rodrigo, 2021. "A Public Bad Game Method to Study Dynamics in Socio-Ecological Systems (Part II): Results of Testing Musa-Game in Rwanda and Adding Emergence and Spatiality to the Analysis," Sustainability, MDPI, vol. 13(16), pages 1-27, August.

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