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Determinants of golden locations in Chiang Mai city: A photographic approach with Binary Logit analysis

Author

Listed:
  • Banthita Kuna

    (Chiang Mai University)

  • Komsan Suriya

    (Chiang Mai University)

Abstract

This study investigates determinants of golden locations in Chiang Mai city. It surveys 100 locations with 50 golden and 50 bad locations. It takes photographs of the locations and figures out the characteristics of them. It uses Binary Logit to classify between the golden and bad locations. The results reveal that being located near the road or street is a major factor of being the golden piece of land. Moreover, insufficiency of parking lots is also a signal of the golden location. In contrast, being located below the road or street and near pollutions definitely classifies bad locations.

Suggested Citation

  • Banthita Kuna & Komsan Suriya, 2012. "Determinants of golden locations in Chiang Mai city: A photographic approach with Binary Logit analysis," The Empirical Econometrics and Quantitative Economics Letters, Faculty of Economics, Chiang Mai University, vol. 1(1), pages 69-74, March.
    • Handle: RePEc:chi:journl:v:1:y:2012:i:1:p:69-74
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    More about this item

    Keywords

    Golden location; Real estate; Classification; Urban economics; Chiang Mai city;
    All these keywords.

    JEL classification:

    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R33 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Nonagricultural and Nonresidential Real Estate Markets

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