Regional Income Distribution in Mexico: New Long-Term Evidence, 1895–2010

Aguilar-Retureta, José

doi:10.1080/20780389.2016.1175298

Cited by 7 publications

(3 citation statements)

References 49 publications

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“…Labour markets recompose themselves spatially and move income and personal wealth into urban centres. It is not just the United States that has seen the rise of superstar cities and interregional inequalities [Kemeny and Storper 2020]; the trend is the same in Europe and in countries like Mexico [Aguilar-Retureta 2016; Rosés and Wolf 2018].…”

Section: State–city–finance Relations and The Urban Drivers Of Housin...mentioning

confidence: 99%

The Housing Crisis in Superstar Cities: Labour Markets, Price Inflation, and Financialization

Findeisen¹

2022

Arch. eur. sociol.

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This article advances explanations of the housing crisis in modern political economies. It argues that the rise of agglomeration economies is driving the massive increase in housing prices in superstar cities. These concentrate high-paying jobs and life chances in central metropolitan areas, pulling in a highly skilled workforce who are willing and able to pay ‘whatever it takes’ for access to these opportunities. As a result, the value of homeownership in strategic urban locations has surged. Investors have thus found it rational to capitalize on longer-term price inflation and invest. Based on a comparison between New York City, London, Paris, and Berlin, this article demonstrates that housing prices in superstar cities move in lockstep with the reconfiguration of urban labour markets. Investors follow this trend in their decisions to invest in housing, which further compounds affordability pressures. The article concludes that access to homeownership in strategic urban locations increasingly mediates inequality and class formation in modern political economies.

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Section: State–city–finance Relations and The Urban Drivers Of Housin...mentioning

confidence: 99%

The Housing Crisis in Superstar Cities: Labour Markets, Price Inflation, and Financialization

Findeisen¹

2022

Arch. eur. sociol.

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“…Depending on their approach to connectivity, scholars may choose different ways to evaluate it. Studies of territorial connectivity may focus on transport networks (Adzhikova, Shkolnikova, 2016); the volume, structure and effectiveness of resource exchange (goods, labour, etc) (Polozhentseva, 2018; Morgoev, 2006;Kirillova, Kantor, 2010;Tian, Zhang, 2019;Fan, Liu, 2020); the correlation 2 and regression relationships between GRP and factors of its development (Polyakova, Simarova, 2014b); and agglomeration processes -through expert evaluation of the interactions (Volchkova et al, 2016). Some studies measure the extent of the deformation at the intersection of production, distribution and consumption of gross product by concentrating on the deviations in the region's indicator value from the national average and on the 'differences between the minimal and maximal values of the indicators across the country' (Panina, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

Connectivity of regional systems of consumer goods reproduction

Timiryanova

2021

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Relevance. The question of how to achieve a more stable economic reproduction and how to expand it is of prime importance as reproduction determines the development of the whole economic system. Due to the constant economic transformations and the so-called 'networkization' of many processes, more research is needed into the spatial organization of reproduction, in particular the intraregional and interregional relationships between its elements. Research objective. This study aims at showing the spatial connections between phases of reproduction on the regional and municipal levels. Data and methods. The study relies on tools and methods of spatial econometric modelling, which includes calculations of univariate and bivariate global and local Moran's indices and diagrams of their dispersion. We constructed an adjacency matrix for Russian regions and municipalities. Overall, our study uses the data on 2,337 municipalities in 84 Russian regions. Results. It was found that the phase of consumption followed by the phases of distribution and exchange have the highest degree of connectivity. Spatial connectivity between the phases was the most pronounced in the case of retail trade and consumption and was much weaker in the case of wholesale trade and production. The analysis of the municipal-level data has revealed some previously undetected relationships between peripheral areas located near regional borders. Conclusions. In this study, we consider reproduction as a spatially organized economic system with interconnected, territorially dependent phases. Such approach provides us with new insights into the ongoing processes in the national economic space.

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“…The spatial autocorrelation of production (Dai et al 2017;Pietrzykowski 2019), distribution (Hylton and Ross 2017; Tian and Zhang 2019), and consumption (Khushi et al 2020) are basic points of treatment. In particular, these studies show that indicators characterizing production in one territory depend on the development of production in neighboring territories (Villaverde and Maza 2008;Fabregat and Badia-Miró 2014;Aguilar-Retureta 2016;Díez-Minguela et al 2018;Lolayekar and Mukhopadhyay 2019;Gunawan et al 2019). This feature manifests itself in both trade processes and consumption.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

2020

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The existing body of academic literature reveals that production, distribution, and consumption might be both consistently connected and geographically scattered. This requires assessing the spatial order of production–distribution–consumption cycle, within which exploring of spatial relationship would be based on mutual dependence on each other’s of production, distribution and consumption. Hierarchical and spatial nesting of production, distribution, and consumption data allows us to apply hierarchical spatial autoregressive models (HSAR). The study was conducted on data from 2132 municipalities within 84 regions of the Russian Federation in 2018. The created models enabled distinguishing intraregional and interregional effects and highlighted the positive effect of spatial interactions in production volume. The calculations showed that population income, which determine the demand for goods are positively associated with production volume while relationship between manufacturing and wholesale is negative, resulting in revision of relations between wholesale and manufacturing enterprises and boosting ways of improvement the competitiveness of manufactured goods. The results allow us not only to enhance understanding of the spatial pattern of production–distribution–consumption cycle, but also to reveal new opportunities in the development of supply chain location policy.

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Regional Income Distribution in Mexico: New Long-Term Evidence, 1895–2010

Cited by 7 publications

References 49 publications

The Housing Crisis in Superstar Cities: Labour Markets, Price Inflation, and Financialization

The Housing Crisis in Superstar Cities: Labour Markets, Price Inflation, and Financialization

Connectivity of regional systems of consumer goods reproduction

Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

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