Urban Agglomeration and Dispersion: A Synthesis of Alonso and Krugman

Tabuchi, Takatoshi

doi:10.1006/juec.1997.2074

Cited by 275 publications

(184 citation statements)

References 11 publications

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“…4 Though deliberately parsimonious, this set-up provides a non-trivial theory of 3 There is a literature at the interface of urban economics and the new economic geography which focusses on commuting -i.e., the separation of the location of production and consumption/residenceswithin cities (e.g., Krugman and Livas Elizondo, 1995;Tabuchi, 1998;Murata and Thisse, 2005;Tabuchi and Thisse, 2005). One paper on intercity commuting that we are aware of is Ogura (2005), but there is no agglomeration force in his model.…”

Section: Introductionmentioning

confidence: 99%

A simple theory of industry location and residence choice

Borck

Pflüger

Wrede

2009

Journal of Economic Geography

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. Terms of use: Documents in D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. This paper provides a simple theory of geographical mobility which simultaneously explains people's choice of residences in space and the location of industry. Residences are chosen on the basis of the utility which mobile households obtain across locations. The spatial pattern of industry is determined by the location decision of a scarce essential factor of production which seeks to obtain the highest possible economic return. Our theory comprehends applications to commuting and physical capital mobility. Referring to the decline in mobility costs, we are able to explain that long-distance commuting and foreign direct investment have increased and that industrial activity has become more concentrated both within as well as across countries.JEL Classification: F12, F21, F22, R12, R23

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Section: Introductionmentioning

confidence: 99%

A simple theory of industry location and residence choice

Borck

Pflüger

Wrede

2009

Journal of Economic Geography

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“…Tabuchi, 1998;Murata and Thisse, 2005) add urban structures to the NEG such that households face a trade-off between transport costs, space and amenity. Thereby, Murata and Thisse (2005) aim to unify the work of Helpman (1998) and Tabuchi (1998). The regional specification of these models is based on the monocentric residential model (Alonso, 1964), where workers live around a central business district and commute to it.…”

Section: An Overview Of New Economic Geography Modelsmentioning

confidence: 99%

“…Eppink and Withagen (2006) Drawing on these lines of work, we propose a simple model of economic geography to analyse the main determinants of urban sprawl and to address efficiency arguments for policy intervention. The framework is based on various modifications of Krugman's (1991) core-periphery model, whereby two extensions are particularly important: (i) the incorporation of urban features (housing market, commuting) into the NEG framework (Helpman, 1998;Tabuchi, 1998;Murata and Thisse, 2005;Tabuchi and Thisse, 2006), and (ii) the consideration of environmental aspects within a NEG framework (Yoshino, 2004;Quaas and Lange, 2007). More specifically, approaching from one side we extend Suedekum's (2006) framework to include environmental quality, thereby following Quaas and Lange (2007) and Eppink and Withagen (2006).…”

Section: An Overview Of New Economic Geography Modelsmentioning

confidence: 99%

Spatial consumption-production structure and mobility related emissions

Koland¹,

Friedl²,

Steininger³

et al. 2008

Spatial Consumption-Production Structure and Mobility Related Emissions

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“…2 In this framework, the spatial structure of agglomeration and dispersion is determined through the interactions between global and local dispersion forces, depending on a host of factors including plantlevel increasing returns. 3 The basic intuition can be illustrated by considering the spatial effects of transport costs in simple "core-periphery" models of industrial location (e.g., Tabuchi [46]; Murata and Thisse [38]). At very high levels of transport costs, the dispersion of consumers between the "core" and "periphery" regions leads to a corresponding dispersion of manufacturing, where manufacturing firms spread over spatially dispersed local markets in order to minimize their transport costs to final markets.…”

Section: Introductionmentioning

confidence: 99%

“…For "compounding plastics materials" and "manufactured ice" in particular, this is seen to be true for all three indices (as indicated by the closeness of their respective positions, 4 · and on the horizontal axes in Figure 16. 46 Turning now to a more detailed consideration of these three indices themselves, note first from the adjusted R 2 values in Table 1 (as well as an inspection of Figure 16) that the D-index of Mori et al is most fully captured by model (20). Note in particular that since the estimated coefficients of both log(GE) and log(LD) for D are close to one, the relative values of D are well approximated by log(GE ⇥ LD).…”

mentioning

confidence: 99%

On the spatial scale of industrial agglomerations

Mori

Smith

2015

Journal of Urban Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in January 2015 AbstractStandard approaches to studying industrial agglomeration have been in terms of scalar measures of agglomeration within each industry. But such measures often fail to distinguish spatial scales of agglomeration. In a previous paper, Mori and Smith [37] proposed a pair of quantitative measures for distinguishing both the scale and degree of industrial agglomeration based on an explicit method for detecting spatial clusters. The first, designated as the global extent of industrial clusters, measures the spatial spread of these clusters in terms of the areal size of their essential containment, defined to be the (convex-solid) region containing the most significant subset of these clusters. The second, designated as the local density of industrial clusters, measures the spatial extent of individual clusters within their essential containment in terms of the areal share of that containment occupied by clusters. The present paper applies this pair of measures to manufacturing industries in Japan, and the results obtained are systematically compared to those of the most prominent scalar measures currently in use. Finally, these measures are shown to support certain predictions of new economic geography models concerning the relationship between shipment distances and spatial scales of agglomeration for individual industries.JEL Classifications : C49, L60, R12, R14

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Urban Agglomeration and Dispersion: A Synthesis of Alonso and Krugman

Cited by 275 publications

References 11 publications

A simple theory of industry location and residence choice

A simple theory of industry location and residence choice

Spatial consumption-production structure and mobility related emissions

On the spatial scale of industrial agglomerations

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