Viability, efficiency, resilience and equity: using very diverse indicators to deal with uncertainties of future events

Sophie Martin (), Katrin Erdlenbruch, Isabelle Alvarez (), Sylvie Huet () and Charline Smadi
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Sophie Martin: UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, MIA Paris-Saclay - Mathématiques et Informatique Appliquées - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France - ENS Cachan - École normale supérieure - Cachan - UP1 - Université Paris 1 Panthéon-Sorbonne - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Institut Curie [Paris] - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique
Isabelle Alvarez: UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, MIA Paris-Saclay - Mathématiques et Informatique Appliquées - AgroParisTech - Université Paris-Saclay - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, ISC-PIF - Institut des Systèmes Complexes - Paris Ile-de-France - ENS Cachan - École normale supérieure - Cachan - UP1 - Université Paris 1 Panthéon-Sorbonne - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - Institut Curie [Paris] - SU - Sorbonne Université - CNRS - Centre National de la Recherche Scientifique
Sylvie Huet: UR LISC - Laboratoire d'ingénierie pour les systèmes complexes - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement
Charline Smadi: UR LESSEM - Laboratoire des EcoSystèmes et des Sociétés en Montagne - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Fédération OSUG - Observatoire des Sciences de l'Univers de Grenoble - UGA - Université Grenoble Alpes

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Abstract: Dynamic models can help adapt to climate change since they inform on the impacts of decisions and future events on sustainability. They make it possible to follow the evolution of variables over time, to model exogenous events and adaptive policies and to compute sustainability indicators. Various model types based on dierent worldviews exist, and they give rise to dierent indicators. Modellers generally choose only one type of model, limiting the variety of indicators. However, decision-makers, who have to be creative to face global change, need a wider diversity of indicators. The objective of this paper is to show the diversity of insights one can get by using alternative system indicators and their decision implications. We test our very diverse indicators approach and illustrate its results for a population at risk of ooding and a water-basin manager who can help the population implement protection measures. We test many variations, including e.g. viability theory and agent-based modelling, and dierent indicators of viability, resilience, eciency and equity, based on comparable data sets. We show possible synergies of the obtained diversity of insights: for example, one indicator says that it is urgent to act and another which is the best policy to use. We discuss the diculties of implementation and the benets of our approach for the decision-maker.

Keywords: Uncertainty; decision-making; optimization; viability; indicators; floods (search for similar items in EconPapers)
Date: 2022
New Economics Papers: this item is included in nep-agr, nep-env and nep-hme
Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-03807806v1
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Published in Environmental Science & Policy, 2022, 138, pp.56-75. ⟨10.1016/j.envsci.2022.09.011⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03807806

DOI: 10.1016/j.envsci.2022.09.011

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