The Carbon Carprint of Suburbanization: New Evidence from French Cities

Working Paper: CEPR ID: DP13086

Authors: Camille Blaudin de Thé; Benjamin Carantino; Miren Lafourcade

Abstract: This paper investigates the impact of urban form on households' fuel consumption and car emissions in France. We analyze more particularly three features of cities commonly referred to as the `three D's' (Cervero and Kockelman, 1997): Density, Design and an innovative measure of Diversity. Individual data allow us to circumvent selection issues, as some households may live in a location consonant to their socioeconomic characteristics or travel predispositions, while instrumental variables help control for other endogeneity issues. The results suggest that, by choosing to live at the fringe of a metropolitan area instead of its city-center, our mean-sample household would bear an extra-consumption of approximatively six fuel tanks per year. More generally, doubling residential Density would result in an annual saving of approximatively two tanks per household, a gain that would be much larger if compaction were coupled with better Design (stronger jobs centralization, improved rail-routes or buses transiting to job centers and reduced pressure for road construction), and more Diversity (continuous morphology of the built-up environment). Another important finding is that the relationship between metropolitan population and car emissions is not linear but bell-shaped in France, contrary to the US, which suggests that small cities do compensate lack of Density by either a better Design or more Diversity.

Keywords: sprawl; car emissions; CO2 footprint; public transport; smart cities

JEL Codes: Q41; R11; R20; R41


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
urban form (R11)fuel consumption (Q41)
residential density (R21)fuel consumption (Q41)
proximity to public transport (R53)fuel consumption (Q41)
distance from central business district (R39)fuel consumption (Q41)
urban policies promoting higher density (R38)car emissions (Q52)

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