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The unitary elasticity property in a monocentric city with negative exponential population density

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  • Zhao, Weihua

Abstract

The central prediction of the monocentric city model is that real estate prices, density of development, population density, and land rent decline with the distance from urban center. The spatial pattern follows a negative exponential under the conditions derived by Brueckner (1982) and McDonald and Kim (1987). Research has demonstrated that these exponential density gradients have flattened over time due to rising income and falling transportation costs. This paper identifies a heretofore unknown property in a monocentric city with negative exponential population density, the “unitary elasticity property (UEP).” If a city is characterized by a constant density gradient, even if the slope of that gradient is changing over time, the sum of the elasticity of central density and the elasticity of land area with respect to population change will be approximately equal to unity. When this new prediction is tested, it fits US cities fairly well. Further analysis demonstrates that topographic barriers and age of housing stock are the key factors explaining the deviation from the UEP.

Suggested Citation

  • Zhao, Weihua, 2017. "The unitary elasticity property in a monocentric city with negative exponential population density," Regional Science and Urban Economics, Elsevier, vol. 62(C), pages 1-11.
  • Handle: RePEc:eee:regeco:v:62:y:2017:i:c:p:1-11
    DOI: 10.1016/j.regsciurbeco.2016.10.005
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    References listed on IDEAS

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    1. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    2. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    3. Edwin S. Mills, 1970. "Urban Density Functions," Urban Studies, Urban Studies Journal Limited, vol. 7(1), pages 5-20, February.
    4. McMillen, Daniel P., 1990. "Consistent estimation of the urban land value function," Journal of Urban Economics, Elsevier, vol. 27(3), pages 285-293, May.
    5. Edwin S. Mills & Jee Peng Tan, 1980. "A Comparison of Urban Population Density Functions in Developed and Developing Countries," Urban Studies, Urban Studies Journal Limited, vol. 17(3), pages 313-321, October.
    6. Joseph Gyourko & Albert Saiz & Anita Summers, 2008. "A New Measure of the Local Regulatory Environment for Housing Markets: The Wharton Residential Land Use Regulatory Index," Urban Studies, Urban Studies Journal Limited, vol. 45(3), pages 693-729, March.
    7. N. Edward Coulson, 1991. "Really Useful Tests of the Monocentric Model," Land Economics, University of Wisconsin Press, vol. 67(3), pages 299-307.
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    Cited by:

    1. Remi Jedwab & Mr. Prakash Loungani & Anthony Yezer, 2019. "How Should We Measure City Size? Theory and Evidence Within and Across Rich and Poor Countries," IMF Working Papers 2019/203, International Monetary Fund.

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    More about this item

    Keywords

    R00; R14; Monocentric City Model; central population density; topography; land use regulation;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns

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