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Deriving the Number of Jobs in Proximity Services from the Number of Inhabitants in French Rural Municipalities

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  • Maxime Lenormand
  • Sylvie Huet
  • Guillaume Deffuant

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.

Suggested Citation

  • Maxime Lenormand & Sylvie Huet & Guillaume Deffuant, 2012. "Deriving the Number of Jobs in Proximity Services from the Number of Inhabitants in French Rural Municipalities," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-5, July.
  • Handle: RePEc:plo:pone00:0040001
    DOI: 10.1371/journal.pone.0040001
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    References listed on IDEAS

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    2. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    3. Edward L. Ullman & Michael F. Dacey, 1960. "The Minimum Requirements Approach To The Urban Economic Base," Papers in Regional Science, Wiley Blackwell, vol. 6(1), pages 175-194, January.
    4. Harold Brodsky & David E. Sarfaty, 1977. "Measuring the Urban Economic Base in a Developing Country," Land Economics, University of Wisconsin Press, vol. 53(4), pages 445-454.
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