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Tunisian Coastal Cities Attractiveness and Amenities

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  • Ben said, Foued

Abstract

The aim of this paper is to explain the density variation among coastal cities by the availability of amenities inside cities. A spatial index of cities attractiveness is computed using the Kulldorff scan statistic technique. Spatial pattern of density clusters revealed that north delegations are more attractive than south delegations and historical business centers of big cities become less attractive for residential population. To assess the spatial interdependence between delegations and the impact of amenities on spatial density pattern we use a spatial Durbin model. Estimation results show delegations with high level of basic amenities like health and educational amenities are the more attractive. Delegations with high level of luxury amenities like clinics kids clubs and post offices exert a positive spillover effect on surrounding delegations. The lack of hospitals in a typical delegation exerted a negative indirect effect on population density inside surrounding delegations.

Suggested Citation

  • Ben said, Foued, 2014. "Tunisian Coastal Cities Attractiveness and Amenities," MPRA Paper 52969, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:52969
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    More about this item

    Keywords

    : urban population density; amenities; coastal cities; spatial Durbin model; scan statistic.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J1 - Labor and Demographic Economics - - Demographic Economics
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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