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An Empirical Analysis of Determinants of Multi-Dimensional Urban Sprawl

Author

Listed:
  • Joseph DeSalvo

    (Department of Economics, University of South Florida)

  • Qing Su

    (Department of Marketing, Economics and Sports Business, Northern Kentucky University)

Abstract

This paper applies a simultaneous equation model to examine the impact of a variety of factors on four dimensions of urban sprawl: spatial size, sprawl index, and daily vehicle miles traveled per capita. The regression results indicate that the transportation cost has a negative impact on urban sprawl in terms of spatial size, land consumption per capita and daily VMT. The impact of household income on spatial size, land consumption per capita and daily vehicle miles traveled per capita are U-shaped. The impact of number of household is mixed: it has a positive impact on spatial size and daily VMT, but a negative impact on land consumption per capita. Urban growth boundary has a negative and statistically significant impact while minimum lot size has a positive impact on two dimensions of urban sprawl (spatial size and land consumption per capita). Regression results also indicate that among the variables that capture the political, social and geographic characteristics of an area, the amount of intergovernmental transfers as a percentage of local revenue has a positive and statistically impact on all four dimensions of urban sprawl while the percentage of urban fringe area overlying aquifers has such an impact on three dimensions (spatial size of an area, sprawl index, and land consumption per capita). The violent crime rate in the central cities has a positive and statistically significant impact on two dimensions of urban sprawl (spatial size and land consumption per capita).

Suggested Citation

  • Joseph DeSalvo & Qing Su, 2013. "An Empirical Analysis of Determinants of Multi-Dimensional Urban Sprawl," Working Papers 1813, University of South Florida, Department of Economics.
    • Handle: RePEc:usf:wpaper:1813
    as

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    File URL: https://www.usf.edu/arts-sciences/departments/economics/documents/Desalvo_5.pdf
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    References listed on IDEAS

    as
    1. Anas, Alex & Xu, Rong, 1999. "Congestion, Land Use, and Job Dispersion: A General Equilibrium Model," Journal of Urban Economics, Elsevier, vol. 45(3), pages 451-473, May.
    2. Quigley, John M. & Swoboda, Aaron, 2006. "A General Equilibrium Analysis of Land Use Restrictions and Residential Welfare," Berkeley Program on Housing and Urban Policy, Working Paper Series qt11k4p0vt, Berkeley Program on Housing and Urban Policy.
    3. Song, Yan & Zenou, Yves, 2006. "Property tax and urban sprawl: Theory and implications for US cities," Journal of Urban Economics, Elsevier, vol. 60(3), pages 519-534, November.
    4. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    5. Anas, Alex, 2007. "A unified theory of consumption, travel and trip chaining," Journal of Urban Economics, Elsevier, vol. 62(2), pages 162-186, September.
    6. Glaeser, Edward L. & Kahn, Matthew E., 2004. "Sprawl and urban growth," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 56, pages 2481-2527, Elsevier.
    7. Barslund, Mikkel & Rand, John & Tarp, Finn & Chiconela, Jacinto, 2007. "Understanding Victimization: The Case of Mozambique," World Development, Elsevier, vol. 35(7), pages 1237-1258, July.
    8. Anas, Alex & Kim, Ikki, 1996. "General Equilibrium Models of Polycentric Urban Land Use with Endogenous Congestion and Job Agglomeration," Journal of Urban Economics, Elsevier, vol. 40(2), pages 232-256, September.
    9. John Quigley, 2007. "A General Equilibrium Analysis of Land Use Restrictions and Residential Welfare (Quigley)," ERES eres2007_308, European Real Estate Society (ERES).
    10. Brueckner, Jan K & Kim, Hyun-A, 2003. "Urban Sprawl and the Property Tax," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 10(1), pages 5-23, January.
    11. Brueckner, Jan K., 2005. "Transport subsidies, system choice, and urban sprawl," Regional Science and Urban Economics, Elsevier, vol. 35(6), pages 715-733, November.
    12. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    13. Bertaud, Alain & Brueckner, Jan K., 2005. "Analyzing building-height restrictions: predicted impacts and welfare costs," Regional Science and Urban Economics, Elsevier, vol. 35(2), pages 109-125, March.
    14. Hymel, Kent M. & Small, Kenneth A. & Dender, Kurt Van, 2010. "Induced demand and rebound effects in road transport," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1220-1241, December.
    15. repec:arz:wpaper:eres2007-308 is not listed on IDEAS
    16. Jan K. Brueckner, 2000. "Urban Sprawl: Diagnosis and Remedies," International Regional Science Review, , vol. 23(2), pages 160-171, April.
    17. Paulsen, Kurt, 2012. "Yet even more evidence on the spatial size of cities: Urban spatial expansion in the US, 1980–2000," Regional Science and Urban Economics, Elsevier, vol. 42(4), pages 561-568.
    18. Marin V. Geshkov & Joseph S. DeSalvo, 2012. "The Effect Of Land-Use Controls On The Spatial Size Of U.S. Urbanized Areas," Journal of Regional Science, Wiley Blackwell, vol. 52(4), pages 648-675, October.
    19. Brueckner, Jan K & Fansler, David A, 1983. "The Economics of Urban Sprawl: Theory and Evidence on the Spatial Sizes of Cities," The Review of Economics and Statistics, MIT Press, vol. 65(3), pages 479-482, August.
    20. Pasha, Hafiz A., 1996. "Suburban Minimum Lot Zoning and Spatial Equilibrium," Journal of Urban Economics, Elsevier, vol. 40(1), pages 1-12, July.
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    More about this item

    Keywords

    multi-dimensional urban sprawl; simultaneous equation model; urban growth boundary; minimum lot size; violent urban crime rate in central city;
    All these keywords.

    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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