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Modelling local growth control decisions in a multi-city case: Do spatial interactions and lobbying efforts matter?

Author

Listed:
  • Katharina Schone

    (LEG/AMIE - CNRS UMR 5118 - Université de Bourgogne)

  • Wilfried Koch

    (LEG/AMIE - CNRS UMR 5118 - Université de Bourgogne)

  • Catherine Baumont

    (LEG/AMIE - CNRS UMR 5118 - Université de Bourgogne)

Abstract

Our article analyses the determinants of the decision of French municipalities to raise the “taxe locale d’équipement”, a local development tax which can be regarded as a price measure to control growth. We model the decision to raise this tax as the result of a political struggle between different land-related interest groups. As a city’s decision to control its development raises demand for housing in neighbouring cities, local growth control choices have to be considered as spatially interdependent. Our spatial econometric specification is directly derived from the theoretical model and thereby becomes a natural tool to estimate such strategic interactions between local governments. The empirical results confirm our predictions. The decision to raise the “taxe locale d’équipement” is influenced by the lobbying of land-related interest groups and subject to spatial strategic interaction. But against the general presumption that growth control choices are mainly determined by resident homeowners, our analysis reveals that the main driving force seems to be “absentee” homeowners which act as landlords. We find weak evidence for the presence of “urban growth machines” in France.

Suggested Citation

  • Katharina Schone & Wilfried Koch & Catherine Baumont, 2009. "Modelling local growth control decisions in a multi-city case: Do spatial interactions and lobbying efforts matter?," LEG - Document de travail - Economie 2009-11, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
  • Handle: RePEc:lat:legeco:e2009-11
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    Cited by:

    1. Hilber, Christian A.L. & Robert-Nicoud, Frédéric, 2013. "On the origins of land use regulations: Theory and evidence from US metro areas," Journal of Urban Economics, Elsevier, vol. 75(C), pages 29-43.
    2. Helder Ferreira de Mendonça & Matheus Souza Peçanha, 2020. "Fiscal management performance and local economic development: evidence from a large emerging economy," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 48(3), pages 641-659, July.
    3. Murray, Cameron K. & Frijters, Paul, 2015. "Clean Money in a Dirty System: Relationship Networks and Land Rezoning in Queensland," IZA Discussion Papers 9028, Institute of Labor Economics (IZA).
    4. Delattre, Laurence & Chanel, Olivier & Livenais, Cecile & Napoléone, Claude, 2015. "Combining discourse analyses to enrich theory: The case of local land-use policies in South Eastern France," Ecological Economics, Elsevier, vol. 113(C), pages 60-75.
    5. Raul Caruso & Nicola Pontarollo & Roberto Ricciuti, 2020. "Regional diffusion of military regimes in sub‐Saharan Africa," Papers in Regional Science, Wiley Blackwell, vol. 99(1), pages 225-244, February.
    6. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Spatial Concentration of Military Dictatorships in Sub-Saharan Africa (1977-2007)," CESifo Working Paper Series 4802, CESifo.
    7. John M. de Figueiredo & Brian Kelleher Richter, 2013. "Advancing the Empirical Research on Lobbying," NBER Working Papers 19698, National Bureau of Economic Research, Inc.
    8. Murray, Cameron K. & Frijters, Paul, 2016. "Clean money, dirty system: Connected landowners capture beneficial land rezoning," Journal of Urban Economics, Elsevier, vol. 93(C), pages 99-114.

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    More about this item

    Keywords

    land use regulation; growth control; lobbying; spatial econometrics;
    All these keywords.

    JEL classification:

    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • H7 - Public Economics - - State and Local Government; Intergovernmental Relations

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