Using Land Data and Enterprise Networks to Analyze Urban Financialization: A Case Study of Real Estate Investment in France
Kevin Poisson  1@  
1 : Université Sorbonne Paris Cité
UMR CNRS 8504 Géographie-cités

# for S08 - Data in Real Estate session

This paper presents a methodology for analyzing the impacts of urban financialization on land markets, urban dynamics, and urban planning policies, based on the integration of land data from Fichiers Fonciers and enterprise data from the National Register of Enterprises. The focus of the study is on the real estate investment industry, which plays a crucial role in the spatial capture and allocation of capital.

I propose a novel approach for reconstructing the enterprise networks of real estate investment companies, which allows for a spatio-temporal analysis of their real estate portfolios and their effects on urban development. The methodology involves two main steps: first, the identification of the companies that own the targeted properties using Fichiers Fonciers, and second, the extraction of information on the links between parent companies and subsidiary companies using the “Registre National des Entreprises” database. The resulting network of real estate investment companies is analyzed using an algorithm that reveals their overall portfolio strategy and urban effects.

The study focuses on the case of France, and highlights the methodological challenges involved in analyzing the real estate portfolios of investment companies. However, I argue that their approach can provide valuable insights into the impacts of urban financialization on land markets and urban development, and can inform policy decisions aimed at promoting more sustainable and equitable urbanization.


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