Geography and Branding in the Craft Beer Industry

Place-based branding strategies are important marketing tools for both regions and firms and take advantage of consumers’ embrace of the local in response to globalization. Craft brewing is a particularly salient user of these strategies and provides ample data. We find a strong, positive link between the number of place-based labels and a brewery’s rating, suggesting consumers are receptive to place-based branding.Check issue date and citation details on checkdate -- J

Mind the Gap: Advancing Evolutionary Approaches to Regional Development with Progressive Empirical Strategies

Explaining the persistently uneven spatial patterns of development remains a central goal of economic geography and regional science. Recognizing that regional development is a process of ongoing change, many scholars now approach the topic from an evolutionary perspective that identifies knowledge recombination processes and institutions as key drivers of change. However, research has not yet fully integrated the various theoretical perspectives and empirical data streams that characterize evolutionary approaches. The present contribution identifies how an evolutionary approach centered on knowledge and institutions can be integrated with complementary forms of evidence gathered from a variety of sources to advance our understanding of regional development. Expanding and integrating the evidence base used to study regional change has important implications for making effective and responsive policy instruments.European Commission Horizon 2020European Research CouncilScience Foundation Irelan

The relevance of scientific knowledge externalities for technological change and resulting inventions across European metropolitan areas

Contrary to perceptions in which technological development proceeds independently of scientific research, the interplay between science and technology has been recognized as an essential part in technological change, industrial competitiveness, and economic growth. While the process of knowledge exchanges between the nexus is conceptually well grounded in relevant literatures, the absence of quantitative measures and assessments of such linkages may underestimate the importance of scientific knowledge inputs for generating high-impact innovative outcomes. In this regard, we propose a large quantitative analysis on knowledge externalities from science to technology by investigating patent citations to science data across European metropolitan regions. First, we construct a dataset of patent citations to scientific knowledge that includes information on the spatial origins of knowledge spillovers. Subsequently, the ratio of internal scientific knowledge sourcing to external sources and its effect on patent citation impact is evaluated. Findings suggest that regions with a higher reliance on their internal scientific resources tend to generate inventions with higher technological impact, and that a strong connection between science and technology is even more effective in advanced industrial regions.European Commission Horizon 2020Science Foundation IrelandAccess provided by IREL Consortium c/o Maynooth University The Library Maynooth UniversityTo check citing and date details in 6

Construction of a Global Knowledge Input-Output Table

This paper describes the construction of the Knowledge Input-Output (KIO) table constructed as part of the RETHINK project. Using PATSTAT data on forty years of patent data from across the globae, the KIO table provides information on the number of patent applications across ten major patenting countries and the rest of the world and across 131 technology classifications. It further provides a network of patent citations, thus indicating how patents build from existing knowledge and contribute to the construction of further innovation. In addition to describing the KIO’s construction, we provide a number of stylized facts on patenting activity and the citation network. These facts illustrate the lessons that can be learned from patent citation data while also identifying potential pitfalls in their use

New Collaborations and Novel Innovations: The Role of Regional Brokerage and Collaboration Intensity

In this paper we investigate the role of brokers in the regional innovation network and its influence on innovative and collaborative outcomes. For this purpose, we make use of data from the European Patent Office and Eurostat in the period 1986-2015. We first build the regional collaboration network based on co-inventorship ties, then we identify the brokerage roles played by each region, using the original taxonomy proposed by Gould and Fernandez (1989), to disentangle their impact on innovation and collaboration. Finally, we investigate regional collaboration intensity and how it interacts with brokerage roles, highlighting its mediating effect. Our findings indicate that brokerage roles contribute to the extension of collaboration networks, but also that they are not efficient for the creation of innovation. Collaboration intensity, on the other hand, enhances both innovation and collaborative outcomes, and shows how a region can benefit from being a broker.European Commission Horizon 2020Science Foundation Irelan

The Science Space of Artificial Intelligence Knowledge Production

The present contribution seeks to map the development of Artificial Intelligence (AI) knowledge as indicated through scientific publications. A set of principal keywords is employed in order to identify those publications that are related to AI in the Web of Science and the metadata provided by the database is then utilized to map the evolution of the field across different scales, i.e. the national, country and regional level. This analysis allows for the identification of potential AI “hotspots”, while also establishing places that have been leading in the development of AI knowledge from the onset vis-à-vis those that have managed to catch up over time. In addition, a network that illustrates international collaborative efforts in AI knowledge creation via co-authorships across nations and via the evolution of keywords’ co-occurrence across three decades is illustrated. It is evident that these networks have become denser with time, and that they have changed across regions. The objective of the present analysis is to enhance our understanding about where and how scientific AI knowledge is created, which in turn should encourage and assist future research efforts looking to study AI knowledge and its consequences

The role of MNEs in the genesis and growth of a resilient entrepreneurial ecosystem

This article reports on a longitudinal process study of the critical role of anchor MNEs in the metamorphosis of a high-tech industrial cluster into a local entrepreneurial ecosystem. It draws on entrepreneurial ecosystem and international business literatures to frame the study of the genesis and evolutionary processes of an entrepreneurial ecosystem that emerged from two MNE subsidiaries, both of which had evolved into advanced R&D centres of excellence around a technology specialism. It shows how multiple new venture spinouts by former MNE employees introduced technological heterogeneity that catalysed into a resilient entrepreneurial ecosystem. The theoretical and policy implications that can be drawn from this case study emphasize the existence of both technology specialism and heterogeneity for resilience in an entrepreneurial ecosystem, and that reaching such a position is evolutionary in nature.Science Foundation Irelan

Regional knowledge spaces: the interplay of entry-relatedness and entry-potential for technological change and growth

This paper aims to uncover the mechanism of how the network properties of regional knowledge spaces contribute to technological change from the perspective of regional knowledge entry-relatedness and regional knowledge entry-potential. Entry-relatedness, which has been previously employed to investigate the technology evolution of regional economies, is advanced by introducing a knowledge gravity model. The entry-potential of a newly acquired regional specialisation has been largely ignored in the relevant literature; surprisingly given the high relevance that is attributed to the recombination potential of new capabilities. In other words, just adding new knowledge domains to a system is not sufficient alone, it really depends on how these fit into the existing system and thus can generate wider economic benefits. Based on an empirical analysis of EU-15 Metro and non-Metro regions from 1981 to 2015, we find that entry-relatedness has a significant negative association with novel inventive activities, while entry-potential has a significant positive association with the development of novel products and processes of economic value. This highlights that regions’ capacity to venture into high-potential areas of technological specialization in the knowledge space outperforms purely relatedness driven diversification that is frequently promoted in the relevant literature.European Commission Horizon 2020Science Foundation IrelandAccess provided by IREL Consortium c/o Maynooth University The Library Maynooth Universit

Appendix to Hops, Skip and a Jump: The Regional Uniqueness of Beer Styles

Appendix to the chapter 'Hops, Skip and a Jump: The Regional Uniqueness of Beer Styles' in Patterson, M., Hoalst-Pullen, N. (eds.). Geography of Beer: Policies, Propaganda and Place, including glossary, list of styles, malts and hops and a sample BeerXML file.Check for published version. Forthcoming, 2023, add DOI when publihsed. 2023-06-07 J

Hops, Skip and a Jump: The Regional Uniqueness of Beer Styles

Perhaps more than any other product, beer evokes its place of origin. Part of what makes every pint of Guinness or stein of Paulaner so memorable is what sets them apart and gives them their unique "taste of place." This chapter explores the geographical differentiation of beer. To do so, we collect data on regional beer recipes, styles, and ingredients from a homebrewing website. We then employ Evolutionary Economic Geography (EEG) methods and create weighted co-occurrence networks for the ingredients within each style. We use these networks to identify which ingredients are most important to each beer style, measure a style’s robustness, and compare differences between geographically close and distant styles. While previous literature focuses on the related diversification of regions, we use these methods to examine the differences within the same product and across many regional styles and flavours. Combining the EEG methods with this unique ingredients dataset, we show that almost all beer styles rely on only a handful of key ingredients. Yet some regional beers are more robust than others due to readily available substitute ingredients in their region. Likewise, we demonstrate that styles originating in close geographic proximity are more similar in their use of ingredients.Item will be publihsed as a book chapter -- update details accordingly once published. 2023-06-1