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Patrones de localización espacial de las manufacturas mexicanas: análisis con la técnica de patrones de puntos espaciales\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)


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 sectors 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.

Suggested Citation

  • José M. Albert Ortiz & Francisco M. Gasca Sánchez & Miguel A. Flores Segovia, 2018. "Patrones de localización espacial de las manufacturas mexicanas: análisis con la técnica de patrones de puntos espaciales\Spatial location patterns of Mexican manufacturing: Analysis using the techniq," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 33(2), pages 253-282.
  • Handle: RePEc:emx:esteco:v:33:y:2018:i:2:p:253-282

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    1. Marta R. Casanova & Vicente Orts & José M. Albert, 2017. "Sectoral scope and colocalisation of Spanish manufacturing industries," Journal of Geographical Systems, Springer, vol. 19(1), pages 65-92, January.
    2. Stefania Vitali & Mauro Napoletano & Giorgio Fagiolo, 2013. "Spatial Localization in Manufacturing: A Cross-Country Analysis," Regional Studies, Taylor & Francis Journals, vol. 47(9), pages 1534-1554, October.
    3. Guy Dumais & Glenn Ellison & Edward L. Glaeser, 2002. "Geographic Concentration As A Dynamic Process," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 193-204, May.
    4. Fujita , Masahisa & Krugman, Paul, 2004. "The new economic geography: Past, present and the future," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 4, pages 177-206.
    5. Giuseppe Arbia, 2001. "articles: Modelling the geography of economic activities on a continuous space," Papers in Regional Science, Springer;Regional Science Association International, vol. 80(4), pages 411-424.
    6. Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
    7. Billings, Stephen B. & Johnson, Erik B., 2012. "A non-parametric test for industrial specialization," Journal of Urban Economics, Elsevier, vol. 71(3), pages 312-331.
    8. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411, August.
    9. repec:aph:ajpbhl:10.2105/ajph.2004.056341_1 is not listed on IDEAS
    10. Nijkamp, Peter, 1988. "Information Center Policy in a Spatial Development Perspective," Economic Development and Cultural Change, University of Chicago Press, vol. 37(1), pages 173-193, October.
    11. David L. Barkley & Roger A. Dahlgran & Stephen M. Smith, 1988. "High-Technology Manufacturing in the Nonmetropolitan West: Gold or Just Glitter," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 560-571.
    12. Martin R Schneider & Conrad Schulze-Bentrop & Mihai Paunescu, 2010. "Mapping the institutional capital of high-tech firms: A fuzzy-set analysis of capitalist variety and export performance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 246-266, February.
    13. José M. Albert & Marta R. Casanova & Vicente Orts, 2012. "Spatial location patterns of Spanish manufacturing firms," Papers in Regional Science, Wiley Blackwell, vol. 91(1), pages 107-136, March.
    14. Nakajima, Kentaro & Saito, Yukiko Umeno & Uesugi, Iichiro, 2012. "Measuring economic localization: Evidence from Japanese firm-level data," Journal of the Japanese and International Economies, Elsevier, vol. 26(2), pages 201-220.
    15. Diego Giuliani & Giuseppe Arbia & Giuseppe Espa, 2014. "Weighting Ripley’s K-Function to Account for the Firm Dimension in the Analysis of Spatial Concentration," International Regional Science Review, , vol. 37(3), pages 251-272, July.
    16. Roland Andersson & John M. Quigley & Mats Wilhelmsson, 2005. "Agglomeration and the spatial distribution of creativity," Papers in Regional Science, Wiley Blackwell, vol. 84(3), pages 445-464, August.
    17. Amnon Frenkel, 2001. "Why High-technology Firms Choose to Locate in or near Metropolitan Areas," Urban Studies, Urban Studies Journal Limited, vol. 38(7), pages 1083-1101, June.
    18. repec:hal:journl:halshs-00372646 is not listed on IDEAS
    19. Anet Weterings & Orietta Marsili, 2015. "Spatial Concentration of Industries and New Firm Exits: Does this Relationship Differ between Exits by Closure and by M&A?," Regional Studies, Taylor & Francis Journals, vol. 49(1), pages 44-58, January.
    20. Stuart, Toby & Sorenson, Olav, 2003. "The geography of opportunity: spatial heterogeneity in founding rates and the performance of biotechnology firms," Research Policy, Elsevier, vol. 32(2), pages 229-253, February.
    21. Eric Marcon & Florence Puech, 2003. "Evaluating the geographic concentration of industries using distance-based methods," Journal of Economic Geography, Oxford University Press, vol. 3(4), pages 409-428, October.
    22. Eric Marcon & Florence Puech, 2003. "Evaluating the Geographic Concentration of Industries Using Distance-Based Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00372646, HAL.
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    More about this item


    Ripley's K function; Mexican manufacturing; distance-based methods; spatial agglomerations;

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)


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