Ron Boschma

The chapter reviews how the concept of institutional complementarities has been approached by the Varieties of Capitalism literature. Based on this critical review, we propose a new framework to analyse institutional complementarities. We discuss promising future applications in the field of economic geography, such as how complementarities across institutions may promote regional innovation and diversification in European regions, how this institutional complementarity framework may shed light on the question of what is possible when implementing institutional change in specific territorial contexts in the EU, and how it may contribute to understand better how regional innovation policy may become effective in particular institutional contexts in Europe.

The patent system rests on a fundamental bargain: temporary monopoly rights in exchange for the disclosure of technical knowledge. Yet, the complexity of transferring technical know-how often limits the effectiveness of disclosure, keeping innovation highly localized. We study whether actionable disclosure in the form of publicly available executable code can overcome these frictions. We rely on a novel dataset linking two decades of patenting activity in the United States to contributions in public code repositories by 1,556 organizations. Using neural language models, we measure the semantic similarity between patent descriptions and public code contributions by these firms to identify patents with high digital disclosure. We find that these patents attract citations from inventors located approximately 17\% farther away than those citing a group of control patents, suggesting that actionable disclosure in the form of executable code reduces spatial barriers to knowledge diffusion.

1. Research on global value chains (GVCs) is currently triggered by global developments that are considered to make major impacts on the spatial organisation of GVCs (Yeung, 2024), such as digital ...

This article proposes a framework to study how the existing knowledge portfolio of regional economies affects the emergence and occurrence of breakthrough technologies. The study discusses the relevance of cognitive distance between the technology of a breakthrough invention and the existing technological base in their geographic vicinity. Theoretically, it introduces the idea that both relatedness and unrelatedness between the technologies in breakthrough inventions and the regional portfolio of technologies can positively influence the appearance of these breakthroughs, but especially relatedness. Empirically, it investigates a sample of 277 NUTS2 regions in Europe in the period 1981 to 2010 and reveals that, by far, most combinations breakthrough inventions make are between related technologies: almost no breakthrough patent combines unrelated technologies only. Regressions show that the occurrence of breakthrough patents in a technology in a region is positively affected by the local stock of technologies that are related to such technology, but such an effect for the local stock of unrelated technologies is not found. However, the region’s ability to enter new breakthrough inventions in a technology relies on the combination of knowledge that is both related and unrelated to such technology.

The purpose of this study is to investigate how a regional knowledge base of information and communication technologies (ICTs) influences the emergence of artificial intelligence (AI) technologies in European regions. Relying on patent data and studying the knowledge production of AI technologies in 233 European regions in the period from 1994 to 2017, our study reveals three results. First, ICTs are a major knowledge source of AI technologies, and their importance has been increasing over time. Second, a regional knowledge base of ICTs is highly relevant for regions to engage in AI inventing. Third, the effects of a regional knowledge base of ICTs are stronger for regions that have recently caught up regarding AI inventing. Our findings suggest that ICTs play a critically enabling role for regions to diversify into AI technologies, especially for regions’ catching up in terms of AI inventing.

As regions evolve, their economies become more complex, and they tend to diversify into related activities. Although there is a bright side to this diversification process in terms of economic development, there may also be a dark side to it, as it possibly contributes to regional inequalities. The paper uses data on industries and patents to analyse the diversification patterns of 283 regions in 32 European countries over the past 15 years. We find that only the most economically advanced regions have the opportunity to diversify into highly complex activities. These regions tend to focus on related high-complex activities, while lagging regions focus on related low-complex activities, creating a spatial inequality feedback loop. This pattern creates a wicked problem for innovation policy: the strategy needed to improve the innovativeness of the European knowledge system might disproportionately benefit regions that are already developed and foster disparities.