Trade costs, regional inequality, and the Home-Market Effect

Kichko, Sergey

doi:10.1080/17421772.2018.1500026

Spatial Economic Analysis

2018

DOI: 10.1080/17421772.2018.1500026

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Trade costs, regional inequality, and the Home-Market Effect

Sergey Kichko

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Cited by 3 publications

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“…One of the main findings is that the inclusion of natural resources in the model creates an additional dispersion effect: the resource effect, which has not been considered in previous studies. Interestingly, this paper has similarities with that of Kichko (2018), who introduced non-zero transport costs and asymmetry in the number of immobile workers in the agricultural/primary sector.…”

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Elhorst¹,

Abreu²,

Amaral³

et al. 2019

Spatial Economic Analysis

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Spatial Economic Analysis is a pioneering journal dedicated to the development of theory and methods in spatial economic analysis. We are happy to announce that the journal's two-year impact factor increased from 1.231 in 2017 to 1.902 in 2018, its highest since the introduction of Spatial Economic Analysis in 2006. We would like to thank the authors, reviewers, editors, editorial board members, Regional Studies Association, Regional Science Association International British and Irish Section, and Taylor & Francis for their contributions to the growing reputation of the journal. This issue contains six papers contributing to the journal's mission. The first is based on Rey's (2019, in this issue) plenary talk at the Cork Meetings of the Regional Science Association International British and Irish Section in 2018. Rey examines the field of regional science from the perspective of wider developments surrounding open-source software and the rising open-science movement. In his opinion, the regional science community has benefited from two freedoms created by open software: the so-called 'free beer' freedom and the 'free as in free speech' freedom. The first means that there are no monetary costs involved in acquiring software; it is available for anybody who can download it. This holds for PySAL, the topic of Rey's paper, but also for all regional scientists who make available routines written in R, Matlab or Stata on their personal websites, journal websites (including for this journal) or on other platforms; these routines are free to the user beyond the fixed costs of software acquisition and installation. Spatial Economic Analysis has been making special efforts to encourage authors to provide their routines (Elhorst et al., 2016), and a growing number of authors are making use of these opportunities. Examples are

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Elhorst¹,

Abreu²,

Amaral³

et al. 2019

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Elhorst¹,

Abreu²,

Amaral³

et al. 2018

Spatial Economic Analysis

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This editorial summarizes the papers published in issue 13(4) so as to raise the bar in applied spatial economic research and highlight new trends. The first paper develops an economic geography model with trade costs in all sectors and different shares of unskilled labour in all locations. The second paper translates an economic geography model into a dynamic spatial econometric model and then estimates the unknown parameters to test for congestion spillover effects among Chinese cities. The following paper also investigates spillover effects, but of sovereign and banking risks across countries. The fourth paper empirically examines if a higher market potential results in higher average productivity and lower productivity dispersion of Italian retailers. The fifth paper demonstrates that modelling more than one spatial lag in the independent variables, using different specifications of the spatial weight matrix, can be used as a tool to correct for an omitted variable bias. The final paper develops a test for the existence of non-parametric non-linearities in a linear spatial econometric model.

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Integrating macroeconomics and economic geography: the neoclassical growth model in spatial general equilibrium

Beenstock

2023

Spatial Economic Analysis

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Trade costs, regional inequality, and the Home-Market Effect

Cited by 3 publications

References 13 publications

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Integrating macroeconomics and economic geography: the neoclassical growth model in spatial general equilibrium

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