Firms’ innovation performance and the role of the metropolitan location. Evidence from the European periphery

Brodzicki, Tomasz; Golejewska, Anna

doi:10.1080/08985626.2019.1620347

Cited by 9 publications

(13 citation statements)

References 63 publications

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“…Agglomeration advantages do not seem to apply to all aspects of firm performance (Beaudry and Schiffauerova 2009). They have, for example, not been confirmed with respect to firm survival (Basile et al 2017) and to innovation performance as measured by indicators other than patenting and licencing (Brodzicki and Golejewska 2019). Generally, the spatial sorting of firms and industries explains, for the most part, performance differences between regions (Niebuhr et al 2020).…”

Section: Beyond Agglomeration Mechanismsmentioning

confidence: 98%

Endogenous rural dynamics: an analysis of labour markets, human resource practices and firm performance

Margarian¹,

Détang-Dessendre

Barczak

et al. 2022

SN Bus Econ

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Some rural locations in industrialized countries have experienced considerable employment growth in the last decades, while others suffer from depopulation and decline. The paper aims to contribute to the development of an evolutionary approach that allows for the identification of those often difficult-to-observe evolving factors that explain success and failure of rural locations. It also wants to show how the combined recognition of evolutionary labour market perspectives, the dynamic capability view of the firm, and human resource management (HRM) theories can serve the operationalisation of evolutionary explanations in this context. According to the derived model, apparent locational disadvantages might be compensated for by subtle, potentially self-enforcing labour market dynamics that generate opportunities for certain firms and industries. Empirically, the ideas are substantiated by means of a mediation model. The empirical analysis is based on latent class analysis and discrete choice models using data from an own survey of 200 food-processing firms in urban and rural locations of one German federal state. For these observations, our results support the idea that the exploitation of HRM opportunities may be more important for good performance in rural labour markets than the direct implementation of specific innovation modes. Investment in HRM allows rural firms in our sample to realise those gains in terms of innovation and growth offered by the creation of a stable and experienced workforce. Their focus on internal labour markets potentially generates external effects, which further encourages neighbouring firms to also invest in involved HRM measures.

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Section: Beyond Agglomeration Mechanismsmentioning

confidence: 98%

Endogenous rural dynamics: an analysis of labour markets, human resource practices and firm performance

Margarian¹,

Détang-Dessendre

Barczak

et al. 2022

SN Bus Econ

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“…The literature often emphasises the importance of regions, geographical proximity and localised knowledge flows in innovation processes [5]. There is a number of concepts derived from political science, economic geography or business economics underscoring the localisation of innovative activities within limited territory.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

“…They focus on a) level of metropolisation [34,35,36,37], b) strengths in radical and incremental innovations [38], c) key actors and modes of governance [39,40,41,19], d) RIS failures [42,43]. The differences between metropolitan (commonly referred to as global cities, world cities, metropolitan areas) and peripheral (lagging, remote) regions are often emphasised in the literature [5]. Both types of regions may differ in many aspects, such as endowment with knowledge [35], concentration of talent [44] and high qualified labour force; concentration of production [45]; density of corporate headquarters, multinational enterprises, main administrative bod-ies, major suppliers and dedicated research organisations; and finally ease of access to knowledge sources outside of the region [37].…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

“…It is worth noting that the behaviour of innovative firms in lagging regions differs from that of innovators in industrial clusters or cities. While the latter may innovate in the same way as the former if they choose so, the reverse may not necessarily be the case, as lagging areas do not have access to rapidly changing market information [46,5]. However, the results from the existing empirical research on the relationship between metropolitan location and innovation are ambiguous [47,48,49,50,51,52,53].…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

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Regional Innovation Systems in Poland: How to classify them?

Ciołek¹,

Golejewska²,

Yaghi³

2021

EoR

Self Cite

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The literature emphasises the role of regional and local innovation environment. Regional Innovation Systems show differences in innovation outputs determined by different inputs. Understanding these relationships can have important implications for regional and innovation policy. The research aims to classify Regional Innovation Systems in Poland according to their innovation capacity and performance. The analysis covers 72 subregions (classified as NUTS 3 in the Nomenclature of Territorial Units for Statistics) in 2004–2016. Classes of Regional Innovation Systems in Poland were identified based on a combination of linear and functional approaches and data from published and unpublished sources. It was assumed that innovation systems in Poland differ due to their location in metropolitan and non-metropolitan regions, thus, the Eurostat NUTS 3 metro/non-metro typology was applied for this purpose. Panel data regressions as models with individual random effects were estimated separately for metropolitan and non-metropolitan groups of subregions. The study identified common determinants of innovation outputs in both NUTS 3 types: share of innovative industrial enterprises, industry share, unemployment rate, and employment in research and development. Next, NUTS 3 were classified within each of two analysed types in line with output- and input-indices, the latter being calculated as non-weighted average of significant inputs. Last, the subregions were clustered based on individual inputs to enable a more detailed assessment of their innovation potential. The cluster analysis using k-means method with maximum cluster distance was applied. The results showed that the composition of the classes identified within metropolitan and non-metropolitan systems in 2004– 2016 remains unstable, similarly to the composition of clusters identified by inputs. The latter confirms the changes in components of the capacity within both Regional Innovation System types. The observed situation allows us to assume that Regional Innovation Systems in Poland are evolving. In further research, the efficiency of Regional Innovation Systems should be assessed, taking into account the differences between metropolitan and non-metropolitan regions as well as other environmental factors that may determine the efficiency of innovative processes.

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“…Here, agency and interactions essential for performance in a peripheral location are critical factors. The adoption of network-based approaches allow actors to counteract presumed negative location effects; some studies identify little difference between innovation performance amongst firms in core or periphery locations (Brodzicki and Golejewska, 2019; Roper, 2001). Instead, performance in peripheries relies upon development of more iterative and adaptive relationships, founded upon organisational and institutional forms of access and proximity beyond those purely geographic (Marek et al, 2016).…”

Section: City-region Peripheries Firm Embeddedness and The Networked Turnmentioning

confidence: 99%

The networked economy of firms in city-region peripheries

Salder

2020

European Urban and Regional Studies

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City-regions have become a core unit of analysis for spatial economy, providing an explicit link between bounded administrative units and more networked spaces of production. Too often, however, such analysis is focused on the core of the city-region, applying presumptions of gravity-based agglomeration. This paper examines these networked spaces of production from the city-region periphery, using a firm-based approach as critical determinants of spatial economy via their key interactions. Focused on the Greater Birmingham city-region, UK, the paper explores the integration of city-regional geography with firm-based networked economy. In doing so, it applies a set of networks of practice, focused on firms’ factored, transactional, and transitional dependencies. Using these networks of practice, it critically analyses the spaces of production formed through firm-based interactions, and their concomitance with city-regional designations. It makes two key contributions. First, it enhances the call for greater understanding of the relationship between core and periphery in the context of city-regions. Second, it argues that network-based approaches, which form spatial economy around firm interactions over administrative configurations, offer useful insight into understanding firm–place relationships which more conventional place-based approaches cannot.

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Firms’ innovation performance and the role of the metropolitan location. Evidence from the European periphery

Cited by 9 publications

References 63 publications

Endogenous rural dynamics: an analysis of labour markets, human resource practices and firm performance

Endogenous rural dynamics: an analysis of labour markets, human resource practices and firm performance

Regional Innovation Systems in Poland: How to classify them?

The networked economy of firms in city-region peripheries

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