Abstract
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.
Highlights
IntroductionThis model aims at incorporating how the growth or decline of municipalities is enhanced by the creation or destruction of these jobs
We describe the neighbouring offer of services with the time distance by car to the most frequented municipality (MFM)
The Maurice Halbwachs Center or the INSEE makes available to all researchers the following data: N The number of inhabitants for each municipality in 1999, 2006 and 2008; N The number of jobs in the French tertiary sector in 1999, 2006 and 2008; N The time distance in minutes by car to the most frequented municipality in 1999; The MFM is the municipality where residents from a given municipality usually go to consume services, leisure equipment and facilities that they don’t find in their own municipality
Summary
This model aims at incorporating how the growth or decline of municipalities is enhanced by the creation or destruction of these jobs. The number of jobs in proximity services can only be estimated indirectly
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