Évolution de la structure de la propriété immobilière en France. Apports des Fichiers Fonciers enrichis pour analyser les patrimoines des individus

Rémi Lei (), Laure Casanova Enault (), Antoine Peris () and Martin Bocquet ()
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Rémi Lei: ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace - UNS - Université Nice Sophia Antipolis (1965 - 2019) - AU - Avignon Université - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, CESAER - Centre d'économie et de sociologie rurales appliquées à l'agriculture et aux espaces ruraux - UBFC - Université Bourgogne Franche-Comté [COMUE] - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Dijon - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement
Laure Casanova Enault: ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace - UNS - Université Nice Sophia Antipolis (1965 - 2019) - AU - Avignon Université - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, AU - Avignon Université
Antoine Peris: ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace - UNS - Université Nice Sophia Antipolis (1965 - 2019) - AU - Avignon Université - AMU - Aix Marseille Université - CNRS - Centre National de la Recherche Scientifique - UniCA - Université Côte d'Azur, AU - Avignon Université
Martin Bocquet: Cerema - Centre d'Etudes et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement

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Abstract: Although housing values in France have increased unevenly over the past twenty years, the spatial distribution of housing wealth has not been thoroughly studied. This lack of empirical research can be attributed to the absence of geocoded individual data, unlike countries such as Sweden or Norway. While French tax property files are available, they contain a structural error that makes it difficult to identify homeowners. Currently, these files enable the identification of housing properties detained at the department level, which is a major limitation when studying housing portfolios. To overcome this issue, we have constructed an invariant identifier at the country level using the civil status. Based on our error calculations, we estimate that the error correction process is highly satisfactory. It improves the measurement of the number of housing properties detained by each homeowner in France over the last decade. Furthermore, it enables the calculation of individual portfolio trajectories. By utilizing this enhancement of property tax records, we demonstrate the spatial aspect of property composition. We emphasize that the composition of properties is dependent on the level of house prices. The proportion of properties owned by multiple individuals increases significantly with the price level, while the proportion owned by single individuals decreases. Lastly, we reveal significant changes in the composition of properties over the past decade. The Société Civile Immobilière (SCI) has increased its market share independently of the market price level. In contrast, the market share held by single and multiple owners has decreased. Although the mechanisms behind this trend remain unclear, it raises new questions about potential consequences for the housing market.

Keywords: sources fiscales; données individuelles; multipropriété immobilière.; distribution des patrimoines (search for similar items in EconPapers)
Date: 2024-05-29
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Published in Revue d'économie régionale et urbaine, 2024, Juin (3), pp.375-400. ⟨10.3917/reru.243.0375⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04771311

DOI: 10.3917/reru.243.0375

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