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Proximity effects and labour specialization transitions in Mexico: a spatial Markov chain analysis

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  • Miguel A. Flores-Segovia
  • Francisco A. Castellanos-Sosa

Abstract

This paper investigates the extent to which the manufacturing industries in Mexico exert positive proximity effects on neighbouring states when transitioning to higher levels of labour specialization. By using discrete and spatial Markov chains models, probability transitions of labour specialization and its associated proximate effect to leading states – in terms of either a higher level of specialization or technological intensity – are estimated. The results support the existence of states’ positive (negative) proximity effects on achieving a higher (lower) labour specialization as neighbour states increase (decrease) either their labour specialization or technology intensity level.

Suggested Citation

  • Miguel A. Flores-Segovia & Francisco A. Castellanos-Sosa, 2021. "Proximity effects and labour specialization transitions in Mexico: a spatial Markov chain analysis," Regional Studies, Taylor & Francis Journals, vol. 55(4), pages 575-589, April.
    • Handle: RePEc:taf:regstd:v:55:y:2021:i:4:p:575-589
    DOI: 10.1080/00343404.2020.1836342
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    Cited by:

    1. Wei Hu & Shanggang Yin & Haibo Gong, 2022. "Spatial–Temporal Evolution Patterns and Influencing Factors of China’s Urban Housing Price-to-Income Ratio," Land, MDPI, vol. 11(12), pages 1-15, December.
    2. Wen, Ting & Qi, Sinan & Qian, Yue, 2024. "Index measurement and analysis on spatial-temporal evolution of China's new economy based on the DPSIR model," International Review of Economics & Finance, Elsevier, vol. 90(C), pages 252-264.

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