Spatial location patterns of Mexican manufacturing: Analysis using the technique of spatial points patterns

  • José M. Albert Ortiz Universidad Jaume I
  • Francisco M. Gasca Sánchez Tecnológico de Monterrey
  • Miguel A. Flores Segovia Tecnológico de Monterrey
Keywords: Ripley’s K function, Mexi-can manufacturing, Distance-based methods, Spatial agglomerations
JEL Classification: C15, C40, C60, R12


This paper explores the spatial location patterns of firms in different sectors of the Mexican manufacturing industry. The analysis is carried out using a continuous spatial statistic approach by employing a K-function for each sector that is then compared to a Complete Spatial Randomness (CSR) distribution and other relevant benchmarks. We show that Mexican manufacturing follows a bimodal distribution and significant spatial concentrations are present for all manufacturing sec- tors at different distances. However, using the spatial distribution of the complete set of manufactures as a point of reference, variations in the spatial distribution are also found to exist.


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How to Cite
Albert OrtizJ., Gasca SánchezF., & Flores SegoviaM. (2018). Spatial location patterns of Mexican manufacturing: Analysis using the technique of spatial points patterns. Estudios Económicos, 33(2), 253-282.
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