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

被引:7
|
作者
Flores-Segovia, Miguel A. [1 ]
Castellanos-Sosa, Francisco A. [2 ,3 ]
机构
[1] Tecnol Monterrey, Sch Social Sci & Govt, Monterrey, NL, Mexico
[2] Univ Texas Austin, Dept Econ, Austin, TX 78712 USA
[3] Univ Texas Austin, Lyndon B Johnson Sch Publ Affairs, Austin, TX 78712 USA
关键词
spatial Markov chains; labour specialization; technological intensity; manufacturing; ECONOMIC-GROWTH; PRODUCTIVITY; DYNAMICS; TRADE; CONVERGENCE; TECHNOLOGY; MODELS; TESTS; INEQUALITY; EMPIRICS;
D O I
10.1080/00343404.2020.1836342
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:575 / 589
页数:15
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