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Zone Separation: A Probit Analysis of Hong Kong Planning Application Statistics

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  • Lawrence W C Lai
  • Winky K O Ho

Abstract

In this paper we demonstrate the use of a probit model to evaluate whether two classes of apparently similar/dissimilar zones with identical uses, that may be carried out with planning permissions, are in fact similar (and hence ‘inseparable’) or otherwise. Four empirical hypotheses about comprehensive development area, commercial/residential, and community-use zones in Hong Kong are tested by using nonaggregate planning application statistics of 793 observations. Acknowledgements. We wish to thank Professor Wing Suen of the School of Economics and Finance, The University of Hong Kong for his useful comments. We are also indebted to three anonymous referees who deserve our special thanks for their careful review and thoughtful suggestions. All faults are ours. This paper is partially sponsored by a CRCG grant (Number 10203311) of the University of Hong Kong.

Suggested Citation

  • Lawrence W C Lai & Winky K O Ho, 2001. "Zone Separation: A Probit Analysis of Hong Kong Planning Application Statistics," Environment and Planning B, , vol. 28(6), pages 923-932, December.
    • Handle: RePEc:sae:envirb:v:28:y:2001:i:6:p:923-932
    DOI: 10.1068/b2786
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    References listed on IDEAS

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    1. Goodman, Allen C., 1988. "An econometric model of housing price, permanent income, tenure choice, and housing demand," Journal of Urban Economics, Elsevier, vol. 23(3), pages 327-353, May.
    2. Painter, Gary, 2000. "Tenure Choice with Sample Selection: Differences among Alternative Samples," Journal of Housing Economics, Elsevier, vol. 9(3), pages 197-213, September.
    3. Lee, Lung-Fei & Trost, Robert P., 1978. "Estimation of some limited dependent variable models with application to housing demand," Journal of Econometrics, Elsevier, vol. 8(3), pages 357-382, December.
    4. Gary Painter, 2000. "Tenure Choice with Sample Selection: A Note on the Differences among Alternative Samples," Working Paper 8647, USC Lusk Center for Real Estate.
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