Participatory Policy Making in Practice: Simulating Boundary Work in Water Governance

  • Nicolas Gailliard
  • Olivier Barreteau
  • Audrey Richard-Ferroudji
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 229)

Abstract

Concerted and participative management has emerged in recent years in the French water policy to respond to the current projections of climate change, and an increasing demand for water in response to population growth. Therefore water management needs to move towards more sustainable practices.

In France decentralization caused legislative changes. The Water Act of 1992 and the establishment of SAGE (Local Water Management Plan) and river contracts have generated the need for people facilitating them. We consider here a new category of people named boundary worker which will be part of what some authors call intermediary people (Mauz, Granjou, Billaud, Moss, and Medd).

This new approach to public policies is not completely stabilized. Its implementations on the ground are very diverse. Little is known on their efficiency. Our work aims at providing means to improve the assessment of this aspect of participatory governance for public policies.

In this paper we propose a model to represent consequences of the involvement of a boundary worker in river basin governance, taking in account the context (social, institutional, physical) of this involvement. To achieve this we will particularly relate and articulate an analysis of several interviews with the boundaries worker.

Final aim of this model is exploration of various conditions of involvement of boundary workers and consequences on the evolution of socio-hydrosystems they are attached to.

Keywords

Agent-based modeling qualitative data boundary worker 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Serra, R., Villani, M., Lane, D.: Modeling Innovation. Complexity Perspectives in Innovation and Social Change, 361–388 (2009)Google Scholar
  2. 2.
    Stringer, L.C., Dougill, A.J., Fraser, E., Hubacek, K., Prell, C., Reed, M.S.: Unpacking “participation” in the adaptive management of social–ecological systems: a critical review. Ecology and Society 11, 39 (2006)Google Scholar
  3. 3.
    Janssen, M.: Complexity and ecosystem management: the theory and practice of multi-agent systems. Edward Elgar Publishing (2002)Google Scholar
  4. 4.
    Barreteau, O., Bousquet, F.: SHADOC: a Multi-Agent Model to tackle viability of irrigated systems. Annals of Operations Research 94, 139–162 (2000)CrossRefMATHGoogle Scholar
  5. 5.
    Becu, N., Perez, P., Walker, A., Barreteau, O., Le Page, C.: Agent based simulation of a small catchment water management in northern Thailand: Description of the CATCHSCAPE model. Ecological Modelling 170, 319–331 (2003)CrossRefGoogle Scholar
  6. 6.
    Lansing, J.S.: Anti-chaos, common property and the emergence of cooperation. In: Kohler, T., Gumerman, G. (eds.) Dynamics in Human and Primate Societies, pp. 207–223. Oxford University Press (1999)Google Scholar
  7. 7.
    Pahl-Wostl, C., Hare, M.: Processes of social learning in integrated resources management. Journal of Community and Applied Social Psychology 14, 193–206 (2004)CrossRefGoogle Scholar
  8. 8.
    van Oel, P.R., Krol, M.S., Hoekstra, A.Y., Taddei, R.R.: Feedback mechanisms between water availability and water use in a semi-arid river basin: A spatially explicit multi-agent simulation approach. Environmental Modelling & Software 25, 433–443 (2010)CrossRefGoogle Scholar
  9. 9.
    Barreteau, O., Bousquet, F.: SHADOC: a multi-agent model to tackle viability of irrigated systems. Annals of Operations Research 94, 139–162 (2000)CrossRefMATHGoogle Scholar
  10. 10.
    Le Bars, M., Le Grusse, P.: Participative modelling of agricultural water demand at regional scale: an example in central Tunisia (2008)Google Scholar
  11. 11.
    Hoanh, C., Le Page, C., Barreteau, O., Trébuil, G., Bousquet, F., Cernesson, F., Barnaud, C., Gurung, T., Promburom, P., Naivinit, W.: Agent-based modeling to facilitate resilient water management in Southeast and South Asia. In: International Forum on Water and Food, pp. 10–14 (2008)Google Scholar
  12. 12.
    Moss, T., Medd, W., Guy, S., Marvin, S.: Organising water: The hidden role of intermediary work. Water Alternatives 2, 16–33 (2009)Google Scholar
  13. 13.
    Barreteau, O., Richard-Ferroudji, A., Garin, P.: Des outils et méthodes en appui à la gestion de l’eau par bassin versant. La Houille Blanche 6, 48–55 (2008)CrossRefGoogle Scholar
  14. 14.
    Billaud, J.-P.: Ce que faciliter veut dire. A propos d’un retour d’expérience de chargés de mission Natura 2000. In: Remy, J., Brives, H., Lemery, B. (eds.) Conseillers en Agriculture. Educagri/INRA (2006)Google Scholar
  15. 15.
    Tubaro, P., Casilli, A.A.: An Ethnographic Seduction: How Qualitative Research and Agent-based Models can Benefit Each Other. Bulletin de Méthodologie Sociologique 106, 59–74 (2010)CrossRefGoogle Scholar
  16. 16.
    Bousquet, F., Barreteau, O., Le Page, C., Mullon, C., Weber, J.: An environmental modelling approach: the use of multi-agent simulations. Advances in Environmental and Ecological Modelling 113, 122 (1999)Google Scholar
  17. 17.
    Étienne, M.: Companion modelling: a participatory approach to support sustainable development. La modélisation d’accompagnement: une démarche participative en appui au développement durable (2010)Google Scholar
  18. 18.
    Gilbert, N.: Quality, quantity and the third way. In: Holland, J., Campbell, J. (eds.) Methods in Development Research: Combining Qualitative and Quantitative Approaches. ITDG Publications, London (2004)Google Scholar
  19. 19.
    Richard-Ferroudji, A.: Limites du modèle délibératif: composer avec différents formats de participation. Politix, 161–181 (2012)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Nicolas Gailliard
    • 1
  • Olivier Barreteau
    • 1
  • Audrey Richard-Ferroudji
    • 1
  1. 1.IRSTEA, UMR G-EAUMontpellierFrance

Personalised recommendations