Deriving the number of jobs in proximity services from the number of inhabitants in french rural municipalities

M. Lenormand (1) , Sylvie Huet (1) , G. Deffuant (1)

1 UR LISC - Laboratoire d'ingénierie pour les systèmes complexes

We use a minimum requirement approach to derive the number of jobs in proximity services per inhabitant in French rural municipalities. We first classify the municipalities according to their time distance in minutes by car to the municipality where the inhabitants go the most frequently to get services (called MFM). For each set corresponding to a range of time distance to MFM, we perform a quantile regression estimating the minimum number of service jobs per inhabitant that we interpret as an estimation of the number of proximity jobs per inhabitant. We observe that the minimum number of service jobs per inhabitant is smaller in small municipalities. Moreover, for municipalities of similar sizes, when the distance to the MFM increases, the number of jobs of proximity services per inhabitant increases.

Mots clés: EMPLOI; MILIEU RURAL; MODELISATION; STATISTIQUE; FRANCE; SERVICE DE PROXIMITE

Domaines: Sciences de l'environnement

M. Lenormand, Sylvie Huet, G. Deffuant. Deriving the number of jobs in proximity services from the number of inhabitants in french rural municipalities. PLoS ONE, 2012, 7 (7), 8 p. ⟨10.1371/journal.pone.0040001⟩. ⟨hal-00726422⟩