Economie Comportementale
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  Organisation : Noémi Berlin et Olivier Renault
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Séminaires à venir

date_range 10 NOVEMBRE 2026

Powering Down Nuclear: A Multidimensional Impact Evaluation of the German Case

Intervenant(s)

Claire Alestra (Associate Professor, Université Lumière Lyon 2, GATE)

Informations complémentaires

Abstract : Following the Fukushima nuclear accident, Germany has adopted the 2011 Atomic Energy Act, which plans the phase-out of nuclear power by 2022. It establishes the immediate and permanent shutdown of half of the country's nuclear reactors and the gradual closure of the remaining ones. Using German Socio-Economic Panel (2022) data at the district scale and the Difference-in-Difference approach, this paper aims to evaluate the overlooked local effects of this exogenous policy on socio-economic indicators. Employment and health estimates indicate a trade-off between a positive ``direct" effect of the phase-out on energy workers and a negative ``induced" effect on the other local economic activities revolving around the nuclear power plants. The dismantling of these plants and the adjustments required to compensate for the change in electricity supply might explain the ``direct" impact. A possible channel for the ``induced" effect is adaptive behaviours to economic uncertainty, reflecting concerns for the future district's dynamism following the sudden shutdown. I find no evidence for real-estate outcomes. This study aspires to help fill the gap in empirical work assessing the effects of large-scale nuclear shutdowns, a policy considered by other countries, and to contribute to the discussion on the consequences of ambitious energy policies.

date_range 24 NOVEMBRE 2026

Preferences for Urban Agriculture in Low-Income Neighborhoods: A Choice Experiment

Intervenant(s)

Maïa David PSAE, INRAE, AgroParis Tech, University of Paris-Saclay)

Informations complémentaires

Co auteurs : G. Giacché, , J. Rinn, et L. Tuffery
Abstract : Urban agriculture (UA) is rapidly expanding, providing environmental, social, economic, and well-being services. With limited space and resources in urban areas, trade-offs between these services must be carefully considered when designing UA projects. Discrete choice experiments (DCE) can elicit and quantify such trade-offs, but have never been applied to disadvantaged neighborhoods, where needs and constraints are acute and trade-offs particularly crucial. Our work addresses this gap by conducting a DCE on a UA project in a low-income neighborhood in the Paris region. We elicit residents' preferences for both private (food, individual learning) and public (social integration, solidarity) services procured by UA. In addition, we introduce a methodological innovation by weighting responses according to respondents' understanding of the DCE choice tasks to improve data quality. Our results indicate that local food production is the most valued service, followed by social dimensions such as educational activities for members and hosting vulnerable external visitors. However, willingness-to-pay remains low, suggesting a need for public funding. We also find substantial preference heterogeneity across age, education, and income levels highlighting the importance of flexible project design. Last, while weighting by respondents' understanding improves data reliability, it may come at the cost of reduced representativeness.

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