Knowledge effects on competitiveness: from firms to regional advantage

Caiazza, Rosa; Richardson, Aileen; Audretsch, David B.

doi:10.1007/s10961-015-9425-8

Cited by 82 publications

(58 citation statements)

References 104 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…And cities are more specialised and less arbitrary units of socio-economic activity than regions (or countries). This focus on knowledge (Caiazza et al, 2015) and the transfer of ideas (Caiazza and Volpe, 2016) accords with established theory such as Romer (1986) So what does previous research tell us about city and regional growth? Glaeser et al (1992) found evidence that cross-industry intellectual externalities were particularly important for urban growth.…”

Section: Literature Reviewmentioning

confidence: 76%

How entrepreneurship, culture and universities influence the geographical distribution of UK talent and city growth

Cowling

Lee

2017

JMD

View full text Add to dashboard Cite

Purpose The creation and distribution of human capital, often termed talent, has been recognised in economic geography as an important factor in the locational decisions of firms (Florida, 2002), and at a more general level as a key driver of economic growth (Romer, 1990). The purpose of this paper is to consider how talent is created and distributed across the cities of the UK and the key factors which are driving this spatial distribution. They also consider what the economic outcomes of these disparities are for cities. Design/methodology/approach The multivariate models can estimate the dynamic inter-relationships between human capital (talent), innovative capacity, and economic value added. These can be estimated, using talent as an example, in the form: human capital measurei =α0i+α1i innovative capacity +α2i quality of life + α3i labour market indicators + α4i economic indicators + α5i HEI indicators + β6i population demographics + β7i population + υi. Findings The first finding is that talent is unequally distributed across cities, with some having three times more highly educated workers than others. Talent concentration at the city level is associated with entrepreneurial activity, culture, the presence of a university, and to a lesser degree the housing market. This feeds into more knowledge-based industry, which is associated with higher gross value added. Research limitations/implications The research is limited in a practical sense by the fact that UK data at this level have only become available quite recently. Thus, it is only possible to capture talent flows and city growth in a relatively small window. But the prospects going forward will allow more detailed analysis at the city level of the relationship between talent flows and local economic growth. And additional insights could be considered relating to the on-going changes in the UK university system. Practical implications The question of whether universities are simply producers of talent or play a much broader and deeper role in the socio-economic landscape and outcomes of cities is an open one. This research has identified what the key drivers of city level economic growth and knowledge creation are, and sought to explain why some cities are capable of attracting and harnessing three times more talent than other cities. This has significant implications for the future development of UK cities and for those seeking to address these imbalances. Social implications Universities are a major economic agent in their own right, but they are increasingly being asked to play a wider role in local economic development. The authors’ evidence suggests that universities do play a wider role in the growth and development of cities, but that there are large discrepancies in the subsequent spatial distribution of the talent they create. And this has significant implications for those seeking to address these imbalances and promote a broader and less unequal economic landscape. Originality/value The authors explore how cities create economic value via a process whereby talent is attracted and then this stimulates knowledge-based industry activity. The originality relates to several key aspects of the work. First, the authors look at the stock of talent, and then the authors explore how “new” talent from universities is attracted by looking at graduate flows around the cities of the UK, differentiating between top-level graduates and less talented graduates. The authors then allow a wide variety of economic, cultural, and population factors to influence the locational decision of talented people. The results highlight the complexity of this decision.

show abstract

Section: Literature Reviewmentioning

confidence: 76%

How entrepreneurship, culture and universities influence the geographical distribution of UK talent and city growth

Cowling

Lee

2017

JMD

View full text Add to dashboard Cite

show abstract

“…Moreover, contracts with public research institutions such as universities are helpful in order to develop new technology. This is particularly useful for small entrepreneurial firms that have few resources to invest in innovative activity (Caiazza, Stanton, & Volpe, 2016;;Tyler, 2009;Thomke & von Hippel, 2002;Lienhardt, 2004;;Vanhaverbeke & Cloodt, 2006;Chesbrough, Vanhaverbeke, & West, 2006;Chesbrough, 2003;Caiazza, Richardson, & Audretsch, 2015). Consequently, it is possible to hypothesize that interaction with other organizations positively affects firm's innovations.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

The effect of strategic partnership on innovation: An empirical analysis

Caiazza

Stanton

2016

Trends in Food Science & Technology

Self Cite

View full text Add to dashboard Cite

“…As such, it could be thought of as encompassing the concept of complementary resources. Concluding, we investigate external information flows' (open innovation) impact as well as internal resources' and capabilities' (absorptive capacity) impact on (innovation) performance, as suggested by Caiazza et al (2015). Several authors have investigated the complementarity between absorptive capacity and the effective management of external knowledge flows in open innovation systems (Barge-Gil, 2010;).…”

Section: The Role Of Open Innovation and Absorptive Capacitymentioning

confidence: 99%

Borderless ideas – open innovation in the Hungarian food chain

Fertő

Molnár

Tóth

2016

British Food Journal

View full text Add to dashboard Cite

This paper investigates the innovation performance in the Hungarian food chain using the concept of open innovation. Empirical analysis is based on the data from a 2014 survey of more than 300 small-and medium sized agricultural producers, food processors and food retailers. We analyse innovation performance taking into account not only the direct impacts of external knowledge inflows and absorptive capacity, but also the indirect effect of external knowledge inflows mediated by the existence of potentially complementary internal resources (absorptive capacity). We determine the impact of open innovation and a company's absorptive capacity on innovation performance employing two stage approaches. First, we apply a semi-non parametric probit model. Second, we run cluster analysis to categorise companies based on their open innovation, absorptive capacity, firm and managerial characteristics.

show abstract

Knowledge effects on competitiveness: from firms to regional advantage

Cited by 82 publications

References 104 publications

How entrepreneurship, culture and universities influence the geographical distribution of UK talent and city growth

How entrepreneurship, culture and universities influence the geographical distribution of UK talent and city growth

The effect of strategic partnership on innovation: An empirical analysis

Borderless ideas – open innovation in the Hungarian food chain

Contact Info

Product

Resources

About