Location determinants of high-tech firms: an intra-urban approach

Arauzo‐Carod, Josep‐Maria

doi:10.1080/13662716.2021.1929868

Cited by 26 publications

(12 citation statements)

References 73 publications

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“…Despite specific effects at industry level, there are common location determinants that act in a similar way across different types of industries (i.e. creative and non-creative), similarly to previous results also for Catalonia by Arauzo-Carod ( 2021 ) and Coll-Martínez and Arauzo-Carod ( 2017 ). In this sense, entries in all subgroups are attracted to areas that have more people enrolled in education (this is a necessary production factor, no matter the industry), while they are repelled from areas with more manufacturing activity.…”

Section: Resultssupporting

confidence: 86%

Location attributes explaining the entry of firms in creative industries: evidence from France

2023

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This paper focuses on creative industries and the role played by the existing spatial distribution and agglomeration economies of these activities in relation to their entry decisions. We rely on employment and firm-level data in the creative industries (provided by INSEE) and compare the location of new establishments in the creative and non-creative industries between 2009 and 2013 in French departments (NUTS 3 regions). We use count data models and spatial econometrics to show that location determinants are rather similar in creative and non-creative industries and that specialisation in creative industries positively influences the entry of all other industries. The French case provides new insights to understand the geographical patterns of creative industries.

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Section: Resultssupporting

confidence: 86%

Location attributes explaining the entry of firms in creative industries: evidence from France

2023

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“…In doing so, we shed light on how agglomeration economies may still play and important role in the development of innovative activities (Fritsch & Wyrwich, 2020a, 2020b) as such carried out by start‐ups in some emerging industries. These findings also add to previous papers focusing on the location of high‐tech firms in Barcelona (Arauzo‐Carod, 2021; Viladecans‐Marsal, 2004; Viladecans‐Marsal & Arauzo‐Carod, 2012) and confirm the attenuation of localisation economies for innovative and creative activities such as start‐ups in emergent industries (Arauzo‐Carod et al., 2017; Coll‐Martínez, 2019; Coll‐Martínez et al., 2019).…”

Section: Discussionsupporting

confidence: 85%

“…EE consist of a set of interdependent actors, and factors coordinated for enabling productive entrepreneurship, in a geographical area (Stam & Spigel, 2017; Stam & van de Ven, 2021). Despite considerable research interest in high tech start‐ups (see e.g., Arauzo‐Carod, 2021; Bessagnet et al, 2021; Colombo & Piva, 2008; Ghio et al., 2017; Vohora et al., 2004), most scholars have worked to identify EE elements at the national or regional level (Harmaakorpi & Rinkinen, 2020). Empirical evidence testing the impact of EE on the location of start‐ups within a city is, however, scarce (Andersson & Hellerstedt, 2009; Audretsch et al., 2010; Bosma & Sternberg, 2014) and, in any case, mostly focused on the US case (Florida & Mellander, 2016; Lee et al., 2004).…”

Section: Introductionmentioning

confidence: 99%

The city of start‐ups: Location determinants of start‐ups in emergent industries in Barcelona

2022

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In recent years, scholars have highlighted the role of cities as incubators for start‐ups. Several studies identify the city of Barcelona as one of the major hubs in Europe for start‐up creation, especially in emergent industries. The present paper examines how local attributes, proximity to the elements of an entrepreneurial ecosystem (EE), and to nearby economic activity, influence the location of ambitious start‐ups in Barcelona between 2012 and 2015. To do this, we use micro‐geographic data of Barcelona start‐ups provided by the Catalan Government (ACCIÓ) and open data on the socioeconomic composition of Barcelona neighbourhoods from the Statistics Department of the Council of Barcelona. By dealing with neighbouring effects and endogeneity, our results suggest that localisation economies and proximity to the elements of the EE are the key factors attracting start‐ups to Barcelona's neighbourhoods. These results are crucial in helping policymakers understand the locational factors of start‐ups within the city.

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“…Natomiast pożądaną cechą otoczenia tych budynków jest wielofunkcyjność, co decyduje o rozwoju obszarów łączących funkcje biurowe, handlowe, rozrywkowe i mieszkaniowe (np. Włodarczyk, 2012;Arauzo-Carod, 2021), czego przykładem może być np. londyński King-Cross (Christou, 2021).…”

Section: Przedsiębiorstwa Technologiczne W Przestrzeni Metropoliiunclassified

„Rewaloryzacja” centrum miasta: tendencje lokalizacyjne przedsiębiorstw technologicznych w skali mikro na przykładzie Warszawy = “Revalorisation” of the city centre: location trends among micro scale technology companies as exemplified by Warsaw

Smętkowski

2022

Prz. Geogr.

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The main objective of the paper was to analyse the spatial distribution of technology companies in the city, as well as to identify factors influencing their location. Warsaw, which can be treated as a metropolis with a relatively well-developed startup ecosystem, was used as an example of the changes occurring in urban space as a result of the fourth technological revolution. The analyses showed that entities involved in the production and implementation of new technological solutions located their activities more often in the central part of the city than in the peripheral districts. Among the important factors for their location were first of all the features of the building, including in particular the availability of coworking space offered in modern office buildings. However, residential buildings as well as older office buildings were also popular. This may indicate that technology companies - often start-ups - are looking for locations with lower space rental costs, but providing appropriate urbanisation benefits related to, for example, catering (cafes) and good transport accessibility, in particular proximity to metro station. On the other hand, agglomeration effects related to proximity to customers were not local but city-wide. Similarly, the accessibility of an airport did not significantly affect the location preferences of Warsaw's technology companies.

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Location determinants of high-tech firms: an intra-urban approach

Cited by 26 publications

References 73 publications

Location attributes explaining the entry of firms in creative industries: evidence from France

Location attributes explaining the entry of firms in creative industries: evidence from France

The city of start‐ups: Location determinants of start‐ups in emergent industries in Barcelona

„Rewaloryzacja” centrum miasta: tendencje lokalizacyjne przedsiębiorstw technologicznych w skali mikro na przykładzie Warszawy = “Revalorisation” of the city centre: location trends among micro scale technology companies as exemplified by Warsaw

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