Creative milieu and firm location: An empirical appraisal

Coll-Martínez, Eva; Arauzo‐Carod, Josep‐Maria

doi:10.1177/0308518x17702646

Cited by 23 publications

(20 citation statements)

References 45 publications

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“…In addition to all the above factors, CIs may agglomerate because of: the existence of historical and cultural infrastructures that are essential sources of inspiration for those employed in CIs; the infrastructure of specialized public and social actors that provide support for these activities (e.g., education and training institutions, government‐funded agencies, gatekeepers and private lobbying organizations); and ‘soft characteristics’ or amenities in terms of quality of life, tolerance, and cosmopolitan environments. A particular identity or place image also attracts creative talents and entrepreneurs (Scott ; Andersson and Andersson ; Pareja‐Eastaway et al ; Murphy et al ; Coll‐Martínez and Arauzo‐Carod ).…”

Section: What Explains CI Agglomeration and Co‐agglomeration?mentioning

confidence: 99%

Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona

Coll-Martínez

Moreno-Monroy

Arauzo‐Carod

2019

Papers in Regional Science

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In this paper we analyse the intensity and extent of agglomeration and coagglomeration of creative industries (CIs) in the metropolitan area of Barcelona (MAB). To do so, we use firm-level geo-located data to calculate distance-based M and m functions of agglomeration and co-agglomeration. Our results show that CIs are relatively more agglomerated than non-CIs at short distances, and that each individual CI sector displays high levels of agglomeration (especially symbolic-based sectors). Also, the co-agglomeration of CIs and Non-CIs is only observed for micro-firms and that there is significant co-agglomeration among symbolicbased CI sectors. Finally, we confirm the role of the city-centre of Barcelona as a magnet for CIs.JEL classification: R39, Z100

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Section: What Explains CI Agglomeration and Co‐agglomeration?mentioning

confidence: 99%

Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona

Coll-Martínez

Moreno-Monroy

Arauzo‐Carod

2019

Papers in Regional Science

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“…Diverse, mixed use developments enabling the co-presence of innovative anchors, incubators, hubs and start-ups as well as walkability and third places are considered vital for informal networking, knowledge exchange and innovation spillovers (Katz and Wagner, 2014). The attractiveness and ‘authenticity’ of a place is also assumed to support the creative milieu (Coll-Martínez and Arauzo-Carod, 2017; Silver, 2012).…”

Section: Introductionmentioning

confidence: 99%

Does urban form matter for innovation productivity? A national multi-level study of the association between neighbourhood innovation capacity and urban sprawl

Hamidi

Zandiatashbar

2018

Urban Studies

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Geography of innovation, creative clustering, urban buzz and innovation districts are place-based concepts that have emerged as a result of the US economy’s transformation to knowledge-intensive economies. The notable built environment characteristics of these concepts are spatial clustering, walkability and proximity to urban amenities, diversity, regional connectivity and agglomeration. While several of these characteristics have been associated with urban sprawl in previous studies, there is a lack of direct evidence on how urban sprawl affects innovation productivity. This national study seeks to examine the relationship between urban sprawl, place-based characteristics and innovation productivity. We used Multilevel Modelling to account for built environment characteristics at both neighbourhood and regional levels. We found that innovative firms tend to locate more in census tracts that are less compact but offer spatial proximity to firms in related business sectors. This is likely due to the higher land and property value in compact areas, which could make it unaffordable for small businesses. We also found that the regional compactness positively and significantly affects the number of innovative firms. This is likely due to the role of compact regions in supporting public transit investments, enhancing social capital and reducing poverty and racial segregation.

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“…The model formulation is based on established WGP formulations given by, e.g., Jones and Tamiz (2010), Mirrazavi et al (2001), Romero (1991), Yu (1985), Cohon (1978), or Zimmermann and Gutsche (1991). Overall, the model consists of an objective function and 14 constraints.…”

Section: Model Formulationmentioning

confidence: 99%

Decision support framework for the regional facility location and development planning problem

2021

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Location choice is a crucial planning task with major influence on a company’s future orientation and competitiveness. It is quite complex, since multiple location factors are usually of decision-relevance, incomparable, and sometimes conflictual. Further, ongoing urbanization is associated with locational dynamics posing major challenges for the regional location management of companies and municipalities. For example, respecting urban space as location factor, a scarcity growing over time leads to different assessment and requirements on a company’s behalf. For both companies and municipalities, there is a need for location development which implies an active change of location factor characteristics. Accordingly, considering locational dynamics is vital, as they may be decisive in the location decision-making. Although certain dynamics are considered within conventional Facility Location Problem (FLP) approaches, a systematic consideration of active location development is missing so far. Consequently, they may propagate long-term unfavorable location decisions, as major potentials associated with company-driven and municipal development measures are neglected. Therefore, this paper introduces a comprehensive decision support framework for the Regional Facility Location and Development planning Problem (RFLDP). It provides an operationalization of development measures, and thus anticipates dynamic adaptations to the environment. An established multi-criteria approach is extended to this new application. A complementary guideline ensures its meaningful applicability by practitioners. Based on a real-life case study, the decision support framework’s strength for practical application is demonstrated. Here, major advantages over conventional FLP approaches are highlighted. It is shown that the proposed methodology results in alternative location decisions which are structurally superior.

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Creative milieu and firm location: An empirical appraisal

Cited by 23 publications

References 45 publications

Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona

Agglomeration of creative industries: An intra‐metropolitan analysis for Barcelona

Does urban form matter for innovation productivity? A national multi-level study of the association between neighbourhood innovation capacity and urban sprawl

Decision support framework for the regional facility location and development planning problem

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