2020
DOI: 10.1016/j.jue.2019.103213
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Locational fundamentals, trade, and the changing urban landscape of Mexico

Abstract: Where do cities emerge and evolve? We examine persistence and change in the distribution of Mexico's urban population from the colonial era to the present, with emphasis on the country's 20th-century transformation. We demonstrate that while early trade patterns and historical persistence were instrumental in sowing the seeds of Mexico's contemporary city system, both technological change and policy significantly altered the trajectory of urbanization. The relative importance of locational fundamentals decreas… Show more

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Cited by 10 publications
(4 citation statements)
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“…Mexican workers choose in which region to live within Mexico. Given the properties of the Fréchet distribution and the workers' utility maximization problem in (2), the share of workers who choose to live in region n ∈  can be expressed as…”
Section: B Equilibriummentioning
confidence: 99%
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“…Mexican workers choose in which region to live within Mexico. Given the properties of the Fréchet distribution and the workers' utility maximization problem in (2), the share of workers who choose to live in region n ∈  can be expressed as…”
Section: B Equilibriummentioning
confidence: 99%
“…At the same time, there is relatively little empirical evidence on the economic consequences of the development of the services sector in developing countries, and whether the reallocation of factors of production into services can give rise to adverse long-term effects both locally and in the aggregate. 2 This paper sets out to study the economic consequences of tourism, a fast-growing services sector in developing countries. Tourism involves the export of otherwise non-traded local services by temporarily moving consumers across space, rather than 1 This view is in the tradition of Baumol (1967).…”
mentioning
confidence: 99%
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“…According to the relevant theories of regional economics and urban geography and combined with the existing research on allometric growth and urbanization levels (Moussiopoulos et al, 2010 ; Lang et al, 2019 ; Alix-Garcia & Sellars, 2020 ), this article selects 12 indicators, i.e., the economic development level, industrial development level, fiscal investment level, city investment intensity, social consumption level, technological development level, urban development level, land use level, transportation development level, opening up level, urban greening level and energy utilization efficiency, to construct the driving factor system for the allometric growth coefficient of the economic scale and carbon emissions of China’s cities (see Table 1 ).…”
Section: Data Sources and Research Methodsmentioning
confidence: 99%