66-vol. 33, no. 2, july-december, 2018
Articles

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

Published 2018-07-01

Keywords

  • Ripley’s K function,
  • Mexi-can manufacturing,
  • Distance-based methods,
  • Spatial agglomerations

How to Cite

Albert Ortiz, J. M., Gasca Sánchez, F. M., & Flores Segovia, M. A. (2018). Spatial location patterns of Mexican manufacturing: Analysis using the technique of spatial points patterns. Estudios Económicos De El Colegio De México, 33(2), 253–282. https://doi.org/10.24201/ee.v33i2.359

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Abstract

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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