When analysing the role of a place in innovation systems, a fundamental question arises: how do we define the system? Defining the system depends on what represents the most appropriate level of aggregating the relevant actors, resources and series of conditions that define a system of innovation. The literature suggests different alternatives, including national, regional, technological and sectoral innovation systems. The key differences are whether the emphasis is placed on the geographical dimension and physical boundary that encloses the system or on the networks and connections between relevant actors, regardless of location. In practice, the most relevant way to aggregate the system often depends on the industry, sector and technology that we are investigating, as well as the ways actors and value chains are organised. To disentangle this riddle, we will avail of Bochma’s (2005) understanding of proximities to analyse our empirical findings. For Boschma, ‘proximity’ refers to the ability to understand, adopt and adapt, to identify novelty, interpret and exploit new knowledge. This occurs across five dimensions, namely geographical, cognitive, organisational, social and institutional proximities. These dimensions of proximity may or may not exist simultaneously and may become more or less relevant depending on the type of innovation and phase of development. Moreover, proximities can either produce positive effects by aiding the flow of information and path creation or negative effects by hindering the influx of new ideas, causing technological, institutional and behavioural lock-ins that resist change and innovation.
Geographical proximity, the colloquial understanding of proximity, is relevant to national and especially regional innovation systems. Geography generally determines regions’ industrial legacy, the resources available, the knowledge and skills, the established networks, the institutional structures, as well as ‘tacit knowledge’ or more implicit societal norms or ‘ways-to-do-things’. This is especially prominent in the case of wood construction, where the industrial legacy and proximity to resources have produced a positive lock-in, allowing traditional forestry regions to lead the innovation processes in wood construction. Localised knowledge spillovers became useful when structural change, in the form of changed legislation, enabled new developments, as in companies developing new solutions for multi-story wood construction. Under new dynamic networks, innovation and transformational changes emerge and grow as there is a short ‘distance’ between key players across public institutions, companies, municipalities and academia. This short distance can refer to geographical proximity in place developments, such as in Skellefteå or Växjö, but also cognitive proximity across longer distances via intensive collaboration.
In the case study on protein transitions, we see that the role of a “place” also matters less so in connection to specific typologies such as rural or urban qualities but more in relation to different forms of proximity. Based on the type of company, product and location, it appears that the proximity to specific qualities in a place is important, such as access to university facilities or a highly specialised labour force. In these cases, the existing knowledge bases available to the companies in these areas shape that company’s trajectory and, therefore, their ability to innovate, change and learn (Boschma, 2005; Hansen, 2015; Zukauskaite and Moodysson, 2016). However, there is a dual situation. While start-ups tend to stay close to universities or large university cities, the suppliers of input factors (raw materials) are internationally based, possibly due to the spatially blind nature of some of the proteins (e.g., larvae, yeast, fungi and commodity crops). However, in some cases, geographical proximity to biomass suppliers is highly beneficial. In one observed case, the company is situated between a university town and a rural area.
Furthermore, case studies revealed many examples of ‘too little’ geographical proximity, where actors were compelled to bring skills, resources and markets closer to each other in order to succeed in furthering their ventures. However, other cases also revealed examples of ‘too much’ proximity, leading to a myopic, inward-looking environment where cross-fertilisation is rare and inefficient. For example, some companies and scientific networks focusing on a specific protein food category or industrial process may largely work alone and ignore the opportunities for cross-learning. In the construction sector, innovation via the use of wood materials was limited during the century-long moratorium on tall wooden buildings, thus enabling the consolidation of concrete and steel construction systems and value chains. Strong cognitive and organisational proximity produced a lock-in situation making it extremely difficult for newcomers offering disruptive alternatives to enter the market. The extent of this difficulty led ‘disruptors’, at least in the early stages of development, to circumvent existing actors and value chains and create parallel avenues to enable market penetration.
Cognitive proximity, which is more associated with like-minded people with common understanding and ideas and less with physical distance, is therefore key to enabling technological innovation to emerge, evolve and spread. The important condition here is that these actors are willing and able to stay in close communication, share knowledge and advance science, even if dispersed across large geographical distances. One example is the partnership between Polarbröd and the fungi company Mycorena, located in the north and south-western part of Sweden, respectively. Drawing on the potential to close the resource loop and encourage circular economy practices, the two companies work together to minimise waste by feeding waste streams to fungi despite being located far apart. However, capitalising on fungi is currently halted by the definition of waste in EU regulations. This is a good example of co-operation toward a common goal but also demonstrates the potential of geographical proximity.
While the industrial legacy rooted in very specific places has played an important role in the wood construction case, it is also clear that intensive cross-fertilisation between companies working with the development of new building systems and products has taken place mostly across the Nordic countries and central Europe, (although also more recently in the Baltic countries, North America and to a much lesser extent, globally). The substantial work carried out in Germany and Austria in developing mass timber products proved useful for companies and scientists in the Nordic countries, where the forestry industry and wood construction markets are highly developed. It is interesting to note that while industrial development requires close geographical proximity amongst different types of actors (i.e., private, public and academia), technological breakthroughs, independent of industrial development, are less determined by place and more by like-minded companies and professionals learning from each other across borders and industrial sectors. Moreover, significant knowledge exchange has occurred between municipalities, e.g., across Swedish regions that are particularly keen to boost sustainable construction, including in more urban regions where the forestry industry has less or no direct presence. Here, cognitive proximity precedes geographical proximity, although the national level remains an important dimension, as municipalities across Sweden operate under the same national rules.
Excessive cognitive proximity may also limit the opportunity for alternative or hybrid options (e.g., construction systems and materials), a situation which undercuts systems innovation. Many argue that the protein debate is largely one-sided and in the wood construction conversation, some actors have been described as ‘wood Talibans’, a title inferring a certain degree of partiality.
The case studies have also revealed evidence of the role of organisational proximity, understood as the extent to which relations are shared in an organisational arrangement within and between organisations (Boschma, 2005). One obvious example is the substantial extent to which the Skellefteå municipality administration can drive action by owning its own energy company, by co-ordinating the multi-actor Wood Innovation Cluster and through access to funding via the investment bank Svenska Kommuninvest, which is jointly owned by a large number of Swedish municipalities. This demonstrates strong relations within and between organisations and the power this affords the municipality to exert influence on other actors. There is also evidence of organisational proximity emerging from the recently established consortium following the Vinnova call for ‘recipes for the future’, in which the project consortium has been tasked with establishing an innovation platform for where actors can connect.
Organisational proximity is also, and often, closely related to social proximity, which refers to the extent to which economic structures are embedded in social contexts (Boschma, 2005). Relations between agents at the very lowest level (microlevel) are important here, as they bring trust, the “Nordic gold”, to the table. At local level and particularly in regions with small populations, the ‘human factor’ is of utmost relevance, as individuals representing different organisations know or are at least acquainted with each other and have built trust relationships that can make supporting new innovative action more efficient and faster. Skellefteå municipality and the broader region is a clear example of this phenomenon where the (social) distance between stakeholders is said to be ‘one phone call’ away. Interestingly, cultural proximities, including values and ethics – as we have seen in the protein case – do not belong in this category but rather to the category of institutional proximity. Also of note here is the role of agents and trust in the development of new products and services in the protein space: innovation in start-ups and scale-ups is dependent on social proximity to enable the exchange of tacit knowledge (Boschma, 2005). This is closely connected to the intersection of place, time and identity.
Finally, the fifth dimension of proximity is Institutional proximity: a general condition relevant, in one form or another, to all the observed processes. Institutional proximity concerns the ways relationships between actors and innovation are determined by the institutional environment.
There is a clear connection to the national innovation system in the development of the wood construction sector, where the interlinkages between regulation, national policy and R&D programmes with existing companies throughout Sweden, as well as industry organisations, have all played a significant role in boosting innovation and market development. The more sporadic nature of the same development in Finland has been one of the main barriers to up-scaling the wood construction industry there. Although much of the necessary knowledge came from abroad, and the fact that these developments did not happen in isolation, the role of national innovation systems has been nonetheless crucial. In the protein case, however, the presence of national innovation systems is much less apparent and developments in different industrial and technological strands have emerged more sporadically. Instead, we notice a close interlinkage between scientists and companies that focus on these developments, e.g. cell agriculture or protein alternatives internationally, which have not been particularly determined by national regulatory frameworks, with the exception of certain market creations where first Singapore and later the USA have granted permits to sell cultured meat in the market. However, institutional arrangements do play a role; hence the role of geography, particularly in the form of R&D funding programmes geared towards food systems change.
More generally, Nordic countries are well placed to advance the development of protein systems, with well-functioning innovation systems, a high ranking on human development indices, more rigorous regulations and governments recognising the importance of working towards a more sustainable future. These well-functioning and dynamic institutional environments, in combination with a society that shows a high degree of openness towards innovation, enable businesses and scientists not only to lead technological innovation processes but also gives them the confidence to pilot and launch them. Institutional arrangements at local and regional levels can be even more impactful in supporting or halting innovation. This is more clearly the case in wood construction, where municipal strategies, local spatial planning systems and tools, as well as the closer relationships between key actors, determine the capacity to pool resources and drive change.