Regional development and knowledge

Johansson, Börje; Karlsson, Charlie

doi:10.4337/9781788970020.00023

Cited by 4 publications

(4 citation statements)

References 94 publications

(67 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While the role of accessibility had been investigated for matters related to productivity and commuting (e.g., Johansson & Forslund, 1995;Ohlsson, 2002), in the 2000s only, this concept was used to improve our understanding of the importance of proximity to knowledge. The findings of this literature largely confirm an important role of proximity to R&D and human capital for patent production (e.g., Andersson & Ejermo, 2005;Gråsjö, 2006;Johansson & Karlsson, 2019). While this prior literature aimed at understanding the effects of proximity it did not focus on changes in accessibility, e.g., through changes in road travel times.…”

Section: Additionality Mechanismssupporting

confidence: 54%

Innovation in Malmö after the Öresund Bridge

Ejermo

Hussinger

Kalash

et al. 2021

Journal of Regional Science

View full text Add to dashboard Buy / Rent full text

We analyze the effect of the Öresund Bridge, a combined railway and motorway bridge between Swedish Malmö and the Danish capital Copenhagen, on inventive activity in the region of Malmö. Applying difference‐in‐difference estimation on individual‐level data, our findings suggest that the Öresund Bridge led to a significant increase in the number of patents per individual in the Malmö region as compared with the two other major regions in Sweden, Gothenburg, and Stockholm. We show that a key mechanism is the attraction of highly qualified workers to the Malmö region following the construction of the bridge.

show abstract

Section: Additionality Mechanismssupporting

confidence: 54%

Innovation in Malmö after the Öresund Bridge

Ejermo

Hussinger

Kalash

et al. 2021

Journal of Regional Science

View full text Add to dashboard Buy / Rent full text

show abstract

“…Knowledge is the newest form of capital asset and the ability to access and use knowledge can be measured as the access to knowledge-intensive labour that the region offers firms that locate to the region. This requires that the region is capable of attracting households that can supply this labour (Johansson & Karlsson, 2019). Maximizing value from Big Data value requires several factors, including the concentration of knowledge-based workers.…”

Section: Discussionmentioning

confidence: 99%

“…Research on the production and use of industrial data in the United States' power-generation sector found that the location of industrial data activities (and the firms that emerge to participate in that production process) is highly sensitive to (Clark & Sudharsan, 2019): the underlying and existing sectoral geographies; connectivity (to internet-enabled devices and data transmission); and specialized labour markets and institutions and institutional capacity. Regions vary considerably in their resource endowments, infrastructure, institutional make-up and labour market characteristics (Bishop & Shilcof, 2017;Johansson & Karlsson, 2019). Many of these factors are either fixed or 'sticky', and they evolve slowly over time.…”

Section: Firms Regions and Absorption Capacitymentioning

confidence: 99%

“…The 'digital revolution' that began in the late 1960s has transformed product markets and production processes (Hermelin, 2020). Advanced economies have transitioned from a predominately industrial economy, based on the manufacturing of industrial goods by production workers, to an economy based on informational goods and services generated through service workers (Hermelin, 2020;Johansson & Karlsson, 2019;Thelen, 2019). While easy to assume that this new practice of production is just another way of producing goods and services, this is only part of the story.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Big Data and its potential role in regional growth: evidence from Great Britain

Morrissey

2020

Spatial Economic Analysis

View full text Add to dashboard Buy / Rent full text

To understand the links between Big Data and economic development is to focus on the knowledge that may be created from Big Data and the knowledge workers who can produce and use this knowledge to maximum economic impact. Using location quotients, this paper finds that the current geographical concentration of employees with skills to generate value from Big Data means that economic opportunities will be centred in the London and South East regions. In contrast, Big Data opportunities will be less important for the already lagging regions in Great Britain.

show abstract

Regional development and knowledge

Cited by 4 publications

References 94 publications

Innovation in Malmö after the Öresund Bridge

Innovation in Malmö after the Öresund Bridge

Big Data and its potential role in regional growth: evidence from Great Britain

Contact Info

Product

Resources

About