Alternative adaptation scenarios towards pesticide-free urban green spaces: Welfare implication for French citizens

Marianne Lefebvre (), Masha Maslianskaia-Pautrel and Pauline Laille
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Marianne Lefebvre: GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement
Masha Maslianskaia-Pautrel: GRANEM - Groupe de Recherche Angevin en Economie et Management - UA - Université d'Angers - Institut Agro Rennes Angers - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement
Pauline Laille: Plante & Cité

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Abstract: Adaptation of urban green spaces (UGSs) to allow their maintenance without pesticides is likely to impact the value attached to these green infrastructures by urban citizens. To understand citizens' preferences for UGSs in this context, a Discrete Choice Experiment was administered in France in 2017, when a pesticide ban in all UGSs was implemented. It allows evaluating the impact on citizens' welfare of different UGSs management scenarios without pesticides. The scenario offering new recreational opportunities is by far the most valued by citizens. Only a minority is worse-off in the "laisser-faire" scenario, where the vegetation is much less controlled. Citizens suffer from welfare losses in the scenario "apparently as before" since it comes at the cost of deteriorated working conditions for maintenance teams. The policy recommendations drawn can contribute to greater social acceptance of the transition towards pesticide-free UGSs.

Keywords: JEL classification : Q24; Choice experiment; France; Pesticides; Urban green spaces; Welfare measure (search for similar items in EconPapers)
Date: 2022-06
New Economics Papers: this item is included in nep-agr, nep-dcm and nep-env
Note: View the original document on HAL open archive server: https://hal.science/hal-03694169v1
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Published in Environmental Science & Policy, 2022, 136, pp.46-55. ⟨10.1016/j.envsci.2022.05.014⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03694169

DOI: 10.1016/j.envsci.2022.05.014

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