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Identification and Characterization of Subcentralities in the Municipality of São Paulo

Author

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  • Rodger Barros Antunes Campos
  • André Luis Squarize Chagas

Abstract

The monocentric city models have received much criticism as to how representative the pattern is with respect to big cities, as is the case with the Municipality of São Paulo, Brazil (the fifth largest city in the world). Theoretical models concerned with multiple centers was brought to the debate on sprawling urban employment. However, empirical methods that identify central places are not a specific aspect in the specialized literature. The purpose of this paper is to identify and characterize the urban employment subcenters (Small Business Districts, SBD) in the Municipality of São Paulo. To this end, we propose a two-step methodology: 1) Exploratory Spatial Data Analysis and 2) Spatial Hedonic Prices Model. As a result, we found seven regions that can be considered SBD. These regions are able to impact housing prices as predicted by polycentric theoretical models that are localized in the main nodes of transportation.

Suggested Citation

  • Rodger Barros Antunes Campos & André Luis Squarize Chagas, 2017. "Identification and Characterization of Subcentralities in the Municipality of São Paulo," Working Papers, Department of Economics 2017_33, University of São Paulo (FEA-USP).
    • Handle: RePEc:spa:wpaper:2017wpecon33
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    More about this item

    Keywords

    Urban Economics; Center Business District; Sub-center Business District; Spatial Econometrics.;
    All these keywords.

    JEL classification:

    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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