Creativity and the city: testing the attenuation of agglomeration economies in Barcelona

Coll-Martínez, Eva

doi:10.1007/s10824-019-09340-9

Cited by 21 publications

(24 citation statements)

References 49 publications

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“…The effects of localization economies and the necessity of spatial concentration were only limited. On the other hand, the advertising sector was highly spatially concentrated, which suggests the importance of localization economies (reduction of transaction costs) and their probable sharp attenuation with increasing distance [9,73]. The location of individual hubs indicates a positive effect of physical and functional structures, especially in the inner city (Holešovice, Karlín, Žižkov).…”

Section: Resultsmentioning

confidence: 99%

“…To answer this question, we departed from a simple taxonomy of co-clustering patterns at the intra-urban level proposed by Boix-Domenech et al [30], and also discussed by Coll-Martinez et al [73]. The authors explain the colocation and co-clustering of companies by two factors: (i) Urbanization economies that attract companies to the most central parts of the city with the highest density and diversity of producers, suppliers, customers and institutions; and (ii) land rents that dissipate with increasing distance from the central business district, pushing companies to less dense and less expensive suburban areas, thus, forming a polycentric structure of the city.…”

Section: Spatial Distribution Of Kibs At Intra-urban Level: Theoreticmentioning

confidence: 99%

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Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies

2020

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We compare intra-urban localization patterns of advertising and IT companies in three large Czech cities. The main aim of our analysis is an empirically-based contribution to the question to what extent do knowledge bases affect the spatial distribution of various knowledge-intensive business industries. The central research question is: To what extent is the localization of these two industries influenced by different modes of innovation/knowledge bases (symbolic vs. synthetic) and to what extent by contextual factors, such as urban size, morphology, position in the urban hierarchy and economic profile of the given city. We found that the urban contexts shape the localization patterns of advertising and IT companies more than differences in knowledge bases-both industries cluster primarily in the inner cities and urban cores. Formation of more suburban IT "scientific neighborhoods" is limited. significantly to the economic transformation of formerly industrial cities (considering IT, Brno is now the most specialized city in Czechia and Ostrava is the third) [13][14][15].Advertising is a representative of KIBS with a purely symbolic knowledge base. These companies should require tight geographical proximity to their customers, suppliers or rivals [16,17], and cluster in urban cores and dense inner cities, close to the headquarters of large corporations and public institutions. By contrast, services with a predominantly synthetic knowledge base (such as IT) rely primarily on knowledge sourcing and innovation collaboration with partners inside value chains, which are not necessarily local [18,19]. IT companies should, thus, exhibit more dispersed spatial patterns (However, Zook [20] documented clustering of internet companies in the inner city, close to the financial institutions, Spencer [12] also noted this possible location pattern), although they may cluster at the neighborhood level as well [12].Méndez-Ortega and Arauzo-Carod [21] stated that " . . . in addition to industry-specific characteristics that determine some external requirements by these firms (such as accessibility to skilled labour or specialized IT suppliers), there are some city-specific characteristics (e.g., urban policies, spatial distribution of economic activity) that also matter, and which shape the location decisions taken by these firms." We aim to analyze exactly these city-specific characteristics and their effects on the spatial distribution of firms. Our central research question is: To what extent are localization patterns of selected KIBS influenced by their distinct modes of innovation (knowledge bases) and to what extent by the city-specific characteristics?Funding: This research wJan Žas funded by the Ministry of Education, Youth and Sports through a research grant "SMART technologies to improve the quality of life in cities and regions" (no.

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Section: Resultsmentioning

confidence: 99%

Section: Spatial Distribution Of Kibs At Intra-urban Level: Theoreticmentioning

confidence: 99%

Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies

2020

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“…Although urban geographers are aware of work mobility (Coffey and Shearmur, 2006), in their analyses of the urban space economy they tend to adopt the simplifying assumption that each worker can be spatially assigned to a single place of work (POW) (e.g. Coll-Martínez, 2019; Duvivier et al, 2018; Folmer and Kloosterman, 2017). This research reveals the changing location of jobs and is corroborated by qualitative work on cities (Shearmur and Hutton, 2011) and by location theory (McCann, 2013): such empirical and theoretical validation suggests that the geography of economic activity derived from traditional POW analysis is empirically robust.…”

Section: Mobilities Work Tasks and Work Locationmentioning

confidence: 99%

Conceptualising and measuring the location of work: Work location as a probability space

Shearmur

2020

Urban Studies

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There is currently considerable interest in workers performing tasks from a variety of workplaces, such as co-working spaces, transport-networks and cafés. However, it remains difficult to ascertain the extent to which this workplace mobility is altering urban economic geography, since most analyses of the location of economic activity in cities are based upon census-type data that assume a unique place of work for each worker. In this paper I propose a framework that extends the concept of place of work: work is probabilistically assigned to different types of workplace according to the proportion of work time spent in each. The limitations of census data are discussed and illustrated, after which the framework is operationalised in an exploratory survey. Census data suggest a modest increase in workplace mobility, with most work still taking place either at home or in a fixed workplace. The paper’s principal contribution is to explain these data’s limitations and show how work location can be operationalised as a probability space.

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“…In separate studies of agglomeration, Coll-Martínez ( 2019 ) finds that in Barcelona, firms in the creative service industries experience benefits from co-location, especially in industries with “symbolic” knowledge formation—including visual arts—and that these firms in the arts benefit from similarity of firm activity, including within co-working spaces (Coll-Martínez 2019 , at 384). In Coll-Martínez et al ( 2019 ), the authors also study agglomeration in Barcelona using distance-based as well as proximity-based measures (at 411) and studying creative industry as well as other organizations (CIs and non-CIs).…”

Section: Background and Methodologymentioning

confidence: 99%

Economies of scope in artists’ incubator projects

Whitaker

2021

J Cult Econ

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Creativity and the city: testing the attenuation of agglomeration economies in Barcelona

Cited by 21 publications

References 49 publications

Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies

Spatial Patterns of Knowledge-Intensive Business Services in Cities of Various Sizes, Morphologies and Economies

Conceptualising and measuring the location of work: Work location as a probability space

Economies of scope in artists’ incubator projects

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