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Spatial Agglomeration of Firms in a Traditional Business Center. A K-function Analysis

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  • Carlos Garrocho

    ()
    (Profesor-investigador, El Colegio Mexiquense, y coordinador del Seminario de Estudios Estratégicos del Estado de México. Zinacantepec, E.M. Mexico.)

  • José Antonio Álvarez-Lobato

    ()
    (Coordinador del Laboratorio de Análisis Espacial, El Colegio Mexiquense. Zinacantepec, E.M. Mexico.)

  • Tania Chávez

    ()
    (Jefa de la Unidad de Informática, El Colegio Mexiquense. Zinacantepec, E.M. Mexico.)

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    Abstract

    We compare two of the most robust spatial statistics reported in the contemporary literature to analyze locational patterns of firms: the K-planar and the K-network functions. These functions generate values that, under certain conditions, provide insights into the basic spatial structure of the location of the variables under analysis. Both functions are able to incorporate measures of statistical significance on the agglomeration/dispersion/randomness of locational patterns. The K-planar function does it in Euclidian spaces while the K-network function does it in network spaces. Both functions consider space as continuous territories, not as the arbitrary addition of discrete geographical units (i.e. municipalities, states). To our knowledge, there are no published studies in the international literature that explore the differences and similarities of the K-planar and K-network functions in characterizing basic spatial patterns of tertiary firms in the intra-urban space. This paper seeks to fill this gap in the literature.

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    Bibliographic Info

    Article provided by in its journal Economia Mexicana NUEVA EPOCA.

    Volume (Year): XXI (2012)
    Issue (Month): 1 (January-June)
    Pages: 93-131

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    Handle: RePEc:emc:ecomex:v:21:y:2012:i:1:p:93-131

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    Related research

    Keywords: location; agglomeration; measures of spatial concentration; spatial econometrics; K density functions.;

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