Urban Clusters as Growth Foci*

Portnov, Boris A.; Schwartz, Moshe

doi:10.1111/j.1467-9787.2008.00587.x

Cited by 50 publications

(29 citation statements)

References 44 publications

(48 reference statements)

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“…While clustering of several places within urban areas may be beneficial for the urban areas as a whole, due to agglomeration economies (see inter alia Ades and Glaeser 1995), such concentration of individual settlements near each other may be less beneficial for each of them separately, due to inter-town competition for investors and migrants (Portnov and Erell 2001;Portnov and Schwartz 2009a).…”

Section: Resultsmentioning

confidence: 99%

Does Gibrat’s law for cities hold when location counts?

Portnov

Reiser

Schwartz³

2010

Ann Reg Sci

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According to Gibrat's law, the growth rates of cities are expected to be independent of their sizes. In this study, we hypothesize that growth rates do depend on population size, but that the direction of the relationship depends on location, i.e., in unfavorable loci, growth rates are positively related to size, while the relationship is reversed in favorable loci, i.e., places with several location advantages. The present study examines that possibility, using 1990-2000 population growth data for two levels of geographic resolution-4,667 local administrative units (i.e., municipalities) and 2,189 contiguous urban areas in 40 European countries. According to our findings, when individual localities are considered, 'proportionate' growth (expected under Gibrat's law) emerges at the aggregate (system-wide) level, but 'dissipates' when the settlement system is disaggregated into two urban sub-systems, formed by wellpositioned localities and poorly positioned ones. Concurrently, for urban areas, a strong positive association between population size and growth emerges both before and after controlling for location attributes. However, this association between population size and growth is not especially strong, if favorably and unfavorably located urban areas are looked at separately.

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Section: Resultsmentioning

confidence: 99%

Does Gibrat’s law for cities hold when location counts?

Portnov

Reiser

Schwartz³

2010

Ann Reg Sci

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“…2010). Under this category, there are two groups of variables: one for harsh climate (Portnov & Schwartz 2009a, b), and the other for natural amenity. Variables included in the former group (Cheshire & Magrini 2006; Partridge et al .…”

Section: Factors Influencing Urban Population Growthmentioning

confidence: 99%

“…The most straightforward among them is to use the distance to the nearest city (Portnov & Pearlmutter 1999; Dobkins & Ioannides 2001; Portnov 2004; Partridge et al . 2007, 2008a, b, 2009a, b, 2010; Partridge & Rickman 2008; Portnov & Schwartz 2008, 2009a, b). This method does not use arbitrary cutoff distance.…”

Section: Location and Urban Population Growthmentioning

confidence: 99%

Does City Location Determine Urban Population Growth? The Case of Small and Medium Cities in Korea

Sohn

2011

Tijd voor Econ & Soc Geog

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Accessibility to large cities has been recognised as a significant factor for the growth of small and medium cities. The dependence on large cities is especially strong in the urban system with strong urban hierarchy. Based on this observation, this study attempts to examine the influence of city location in the Korean urban system on the growth of small and medium cities. The result shows that distance from Seoul is significant in explaining the overall urban population growth although distance from regional centres is important in explaining in‐ and out‐migration, suggesting that the spillover effect of Seoul is the dominant determinant of growth.

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“…In order to test the research hypothesis that the spatial clustering of urban localities helps to explain their population growth, Portnov and Schwartz (2009) used data on Europe's settlements. Multiple regression analysis, using both least square and spatial lag models, was applied to assess the effect of several factors on the annual population growth of urban localities.…”

Section: The Attributes Of Multiple Criteriamentioning

confidence: 99%

Clustering of Territorial Areas: A Multi-Criteria Districting Problem

2016

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Endogenous resources, economic profile and socio-economic issues are the criteria that define the development level and the identity features of a territorial unit. The territorial units that organize the country, in political and administrative terms -parishes and counties -, have a hierarquical structure, which initially reflected the organization of productive activities as well as the tradition State organization. The success of development policies addressed to territorial agglomerates depends on its homogeneity and of their territorial units. Facing to this the clustering of territorial areas can be stated as a districting multi-criteria problem. Thus, this paper aims to propose a framework for obtaining homogenous territorial clusters based on a Pareto frontier that includes multicriteria related to the territorial endogenous resources, economic profile and sociocultural features. This framework is developed in two phases. First, the criteria correlated with the development at the territory unit level are determined through statistical and econometric methods. Then, a multi-criteria approach is developed to allocate each territory unit to an agglomerate of territory according to the Pareto frontier established. The framework is applied to the context of a set of parishes and counties of the Alentejo Central region, southern Portugal. Results are presented and discussed in the scope of a regional strategy of development.

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Urban Clusters as Growth Foci*

Cited by 50 publications

References 44 publications

Does Gibrat’s law for cities hold when location counts?

Does Gibrat’s law for cities hold when location counts?

Does City Location Determine Urban Population Growth? The Case of Small and Medium Cities in Korea

Clustering of Territorial Areas: A Multi-Criteria Districting Problem

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