Determinants of Urban Sprawl in France : An Analysis Using a Hierarchical Bayes Approach on Panel Data
PIROTTE ; MADRE
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
PIROTTE ; MADRE
Résumé / Abstract
This paper studies the determinants of urban sprawl in France using panel data sets for the four largest metropolitan areas (Paris, Lyon, Marseille, Lille) over the period 1985-1998. An accurate measure of urban sprawl is proposed at municipality level. Due to the huge heterogeneity of those panels, it seems difficult to consider the fundamental homogeneity assumption underlying pooled models. Thus, random coefficient models under heteroskedasticity of the disturbances are estimated for each metropolitan area using a hierarchical Bayes approach based onMarkov ChainMonte Carlo simulation method. We find that urban sprawl is positively related to the income growth of the tax payers fiscal households for the period of rapid growth of the late 80's. At the opposite, the income effects are negative for the non-tax payers. During the recession, income effects are significant neither for tax payers nor for non-tax payers fiscal households, and significantly positive for tax payers and negative for non-tax payers over the recovery. Last, in mean, inequality index - difference of average net income between tax payers and exempted fiscal households - has lower impact on urban sprawl than income effect.
Editeur
IATBR
