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A Simple Theory of Smart Growth and Sprawl

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  • Matthew Allen Turner

Abstract

This paper considers the simultaneous determination of residential density and the supply of local versus remote retail services. Possible equilibrium development patterns either correspond closely to what anti-sprawl activists describe as smart growth, or to its opposite. Equilibrium and optimal patterns of development do not always coincide. When equilibrium and optimal patterns of development diverge, optimal density is always discretely (as opposed to marginally) higher than equilibrium density. This occurs in the absence of congestion externalities, and is due to a free-rider problem and a coordination problem. The analysis indicates that a tax on large lots or a subsidy for small lots may be welfare improving under certain conditions.

Suggested Citation

  • Matthew Allen Turner, 2006. "A Simple Theory of Smart Growth and Sprawl," Working Papers tecipa-208, University of Toronto, Department of Economics.
  • Handle: RePEc:tor:tecipa:tecipa-208
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    References listed on IDEAS

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    Cited by:

    1. Chao Wei & Zhanqi Wang & Xi Lan & Hongwei Zhang & Mengjiao Fan, 2018. "The Spatial-Temporal Characteristics and Dilemmas of Sustainable Urbanization in China: A New Perspective Based on the Concept of Five-in-One," Sustainability, MDPI, vol. 10(12), pages 1-28, December.
    2. Berg, Nathan, 2008. "Imitation in location choice," MPRA Paper 26592, University Library of Munich, Germany.
    3. Thomas E. Lambert & James Catchen & Victoria Vogelgesang, 2015. "The Impact of Urban Sprawl on Disaster Relief Spending: An Exploratory Study," Journal of Economic Issues, Taylor & Francis Journals, vol. 49(3), pages 835-864, July.
    4. Neeraj G Baruah & J Vernon Henderson & Cong Peng, 2021. "Colonial legacies: Shaping African cities," Journal of Economic Geography, Oxford University Press, vol. 21(1), pages 29-65.
    5. Lianyan Li & Xiaobin Ren, 2019. "A Novel Evaluation Model for Urban Smart Growth Based on Principal Component Regression and Radial Basis Function Neural Network," Sustainability, MDPI, vol. 11(21), pages 1-25, November.
    6. Daniel Czamanski & Rafael Roth, 2011. "Characteristic time, developers’ behavior and leapfrogging dynamics of high-rise buildings," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(1), pages 101-118, February.
    7. Daniel Arribas-Bel & Peter Nijkamp & Henk Scholten, 2011. "Multi-Dimensional Urban Sprawl in Europe: a Self-Organizing Map Approach," ERSA conference papers ersa10p485, European Regional Science Association.
    8. Caviglia-Harris, Jill L. & Harris, Daniel, 2011. "The Impact of Settlement Design on Tropical Deforestation Rates and Resulting Land Cover Patterns," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 40(3), pages 1-20, December.

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    More about this item

    Keywords

    urban sprawl; residential land use; lot size; retail location; urban economics;
    All these keywords.

    JEL classification:

    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • H0 - Public Economics - - General

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