(This second part of the classroom note was prepared for Technology students at Vidyashilp University as part of the course “Design Thinking for Entrepreneurship and Innovation.” This section examines changes in online markets and internet communities as localisation is reconsidered in response to economic fragmentation, shifting global supply chains, climate concerns, and the rapid transformation brought about by artificial intelligence. Continuing from an earlier discussion of Gandhian approaches to localisation and decentralised economies, this note turns to bioregionalism as a distinct framework for thinking about the relationship between place, economy and technology, and explores its possible relevance to emerging models of entrepreneurship and innovation)
by narendra raghunath
Abstract
For thirty years, many technology companies have pursued the notion that the internet, global supply chains, easy money transfers, and fast communication would make location less important.
This has not always been entirely true, and today climate change, political conflicts, fragile supply chains, and artificial intelligence are making place important again. The solution is not simply to return to small local economies; bioregionalism is useful only insofar as it shows how a region’s particular strengths, such as its people, skills, knowledge, resources, institutions, and local networks, can also create a real business advantage.
Studies of industrial clusters and regional innovation indicate that companies may do better when they are near skilled workers, suppliers, universities, and other firms because knowledge spreads more quickly and coordination is simpler. Local experience is hard for outsiders to imitate. At the same time, this outcome does not occur on its own; inadequate institutions, poor planning, or excessive reliance on a single area can create new difficulties. The same applies in India.
Bioregionalism must not be seen as a modern interpretation of the romantic notion of the self-sufficient village. Since Ambedkar pointed out that villages can also perpetuate caste, inequality and social exclusion, he stressed that the individual should be more important than the village community. In that sense, a worthwhile form of bioregionalism today should integrate global knowledge and technology with strong regional capabilities while safeguarding personal freedom, social inclusion, and access to broader markets. In this respect, bioregionalism is not about isolating a region from the rest of the world; it is about identifying what a place does especially well, deciding what should remain linked to the global community, and exploring how technology can transform local strengths into innovation, resilience, and competitive advantage.
(Editing and proofreading are carried out using Grammarly)
An Introduction: When Place Returns to the Technological Economy.
A major aim of the technological economy has always been to overcome the effects of geography. Software can be developed in Bengaluru, financed in California, stored on infrastructure spread across several countries, and then sold worldwide. Manufacturing has likewise been based on a similar principle, dividing the processes of design, component production, assembly, logistics, and consumption among supply chains spread across different parts of the world. In this vision of the economy, successful companies were those that could escape the constraints of their place of origin.
The success of digital globalisation may lead people to overlook that technology has eliminated only some geographical obstacles, not geography. Even digital systems which seem to have no physical form still depend on electricity, semiconductor manufacturing, minerals, telecommunications infrastructure, buildings, cooling systems, skilled labour, legal jurisdictions and, increasingly, large physical data infrastructure. Because of climate change, it has become even harder to ignore this material basis, since water, heat, flooding, agricultural productivity, biodiversity, and energy security all affect economic systems whether or not individual businesses acknowledge their environmental dependence. The IPCC's idea of climate-resilient development clearly includes mitigation, adaptation and sustainable development. It places a growing emphasis on equity and societal choices rather than viewing the response to climate change as merely a technical issue.
Artificial intelligence also makes it more difficult to define the relationship between technology and geography. Generative AI has made it easier to carry out some kinds of coding, translation, analysis, visualisation, documentation and administrative work. However, the available evidence does not support the idea that human knowledge or labour is being made obsolete. According to the ILO's 2025 global assessment, one in every four workers is engaged in a job that involves some degree of exposure to generative AI, and it stresses that job transformation is more likely than complete replacement, since most occupations still include tasks that require human involvement.
For entrepreneurs, the biggest change may lie elsewhere. When many businesses can use the same or similar AI tools, access to AI alone will no longer provide a strong competitive edge. What will become more valuable instead are things that are harder to copy, for example specialised knowledge, trusted relationships, local production networks, regional data, knowledge of materials and resources, institutional connections, and a deep understanding of the local environment. The true advantage will thus lie in knowing how to link widely available technologies to the specific needs and opportunities of a particular area. In this respect, bioregionalism matters for technology entrepreneurship: although technology and knowledge can increasingly move around the world, the people, resources, relationships, ecosystems, and physical conditions that give them practical value stay rooted in particular places.
From Bioregional Philosophy to Economic Strategy
Bioregionalism starts with a seemingly simple idea: human economies function within ecological and geographical systems, not outside them. A region is therefore not merely an administrative area. It can be understood by looking at interacting watersheds, climate, soils, biodiversity, settlements, infrastructure, productive systems, cultural practices and human institutions. This point of view matters because traditional economic boundaries often divide systems that remain ecologically linked. Water does not cease at a municipal boundary, an airshed may cover several jurisdictions, and agricultural or forest ecosystems may link rural settlements with distant urban markets.
Problems arise when this ecological idea is too readily turned into an economic one. Just because a business is local does not mean that it acquires a competitive edge, and regional production is not necessarily more sustainable, productive, or resilient than international production. A locally made product can use more resources than a similar imported one, a regional monopoly may be less innovative than a globally competitive industry, and an area relying on a single crop or industry may be more vulnerable than an economy with a geographically diversified range of suppliers and markets.
The need to prove rather than assume the economic case for bioregionalism is therefore evident. Fortunately, several well-established areas of economic research offer ways to build such an argument without romanticising locality.
The idea put forward by Michael Porter in his influential study of clusters is that there exists an apparent paradox of globalisation: even though capital, technology and information have become more and more mobile, certain lasting competitive advantages have still managed to arise from geographically concentrated relationships, specialised knowledge and institutional networks which competitors in other places could not easily replicate. Research into regional innovation systems has also advanced a similar line of argument, showing that financial capacity, institutionalised learning and productive culture can interact at the regional level to promote innovation.
Recent OECD research has provided a more detailed economic explanation of this phenomenon. Businesses situated near each other can use specialised facilities, develop more effective supplier networks, secure skilled workers more easily, and exchange knowledge and ideas more rapidly. These advantages can be strong enough to encourage companies to stay in such business clusters even if wages, rent, or property prices are higher. At the same time, concentration has limits; when many businesses and people come together in one area, congestion, pollution, high housing costs, and other pressures can reduce these benefits. The optimal geographical scale thus depends on the kind of industry and the region's specific circumstances.
Bioregionalism might use this evidence but has to go beyond it. A traditional industrial cluster is mainly based on the productive and institutional relationships between firms, whereas a bioregional system also takes into account ecological relationships, resource flows and territorial dependencies. As a result, competitive advantage can arise not because proximity is inherently desirable, but because certain combinations of proximity, knowledge, resources, es and institutions lead to productive relationships that competitors find difficult to copy.
The initial form of knowledge is situated knowledge. It is not possible to fully codify and transfer all knowledge that has economic value. Agricultural communities build up experience in relation to soils, microclimates, the behaviour of crops and water conditions; manufacturing areas acquire an intuitive grasp of certain processes and materials; craft communities hold on to knowledge that is embodied in the act of fabrication; and universities and local organisations gather specialised knowledge concerning industries, ecosystems and the regulatory environment. This kind of knowledge must never be idealised or spared from critical examination, but where it continues to have economic value it can contribute to a region's ability to produce.
The other mechanism involves agglomeration and coordination. If firms, suppliers, specialised workers, universities, laboratories, and service providers function within a closely connected regional system, certain information and transaction costs fall while opportunities for learning and specialisation rise. According to OECD evidence, sharing, matching, and learning are key mechanisms underlying agglomeration economies. A technology firm in such a system can therefore gain advantages that cannot simply be achieved by buying identical machinery or software.
Another way is through industrial symbiosis, in which the close location of businesses allows the residual materials, water, heat or other by-products of one company to be used as economically valuable inputs by another. The case of industrial symbiosis in Kalundborg, Denmark, is especially significant because it has been subject to quantitative analysis rather than praised as a circular-economy example. Research into the exchange of water, steam, and industrial by-products revealed both economic and environmental benefits, and it also showed that economic advantages often came from improved overall operational performance rather than simply from selling waste materials. For bioregional entrepreneurship, proximity can make such relationships economically viable when they would not be feasible if materials or energy had to be transported over long distances.
A fourth mechanism involves achieving differentiation through regional specificity. Through agricultural varieties, different materials, local ecological conditions, cultural knowledge, traditional manufacturing methods, and accumulated datasets, resources can be used to develop different products and services. Digital technology enables these capabilities to expand their market scope without giving up their regional bases. The strategic aim is therefore not to keep regional resources unchanged, but to transform them into knowledge-intensive, higher-value capabilities.
A fifth way to achieve resilience is to spread out capability appropriately. This line of reasoning demands special care since local production does not always result in resilience. If a particular capability is concentrated in a single area, it can itself become vulnerable to drought, flood, political instability or some other local shock. Resilience is achieved when regional capability offers useful redundancy within the broader network or minimises overreliance on one place. The appropriate business question, therefore, is not whether something can be localised, but whether the economic and policy advantages of regional capability outweigh the costs of maintaining it.
It is therefore possible to state the economic argument more clearly: bioregionalism can lead to a competitive advantage whenever situated knowledge, specialised labour, institutional proximity, resource complementarities, regional data, or ecological adaptation result in productive capabilities whose value goes beyond the costs of geographical constraints. When these conditions do not exist, localisation should not be assumed to be better.
From Comparative Advantage to Constructed Capability
It is also necessary to distinguish between the resources a region happens to have and the capabilities it intentionally develops. A weak form of bioregionalism could lead a region to stay dependent on its existing economic identity—such as agricultural areas continuing to farm, craft areas continuing to produce crafts, and forest areas continuing to derive income from forests. This kind of reasoning can keep territories stuck in low-value economic roles.
A better approach is to consider how current capabilities can become platforms that enable technology-related diversification. For instance, a region that produces coffee has more than just coffee; it might have accumulated knowledge in areas such as tropical agriculture, fermentation, soil management, rainfall patterns, logistics, plant diseases, and commodity markets. This knowledge could then be used to set up businesses in fields such as agricultural sensing, climate analytics, biological inputs, food processing, material research, or the manufacture of specialised farm equipment. The aim is not to maintain the present regional economy but rather to identify other capabilities that can be developed from it.
It shifts bioregionalism away from static comparative advantage and toward constructed regional advantage. The entrepreneurial question is no longer just what a region has, but what its current combination of knowledge, institutions, ecology, and infrastructure makes it particularly capable of becoming.
Technology matters because it enables local knowledge to interact with external science, computing, and markets. A region does not need to develop all fundamental technologies itself; its comparative advantage may instead lie in knowing how to apply technologies available around the world to problems and opportunities outsiders understand only poorly.
Artificial Intelligence and the Increasing Value of Context
When considering artificial intelligence, we must state its economic effects with care. It does not make knowledge available to everyone, nor does it eliminate the need for specialised expertise. Instead, it can lower the cost of accessing some codified capabilities and speed up activities such as prototyping, translation, documentation, analysis, and software development; as these capabilities become more widely available, simply having them may result in less differentiation.
Although two companies may buy access to the same foundation model, they will not thereby have the same institutional relationships, longitudinal datasets, field experience, material knowledge or customer confidence. It is therefore relatively easy to imitate a general agricultural AI service. On the other hand, a system that integrates computational models with years of regional soil data, crop histories, water information, pest observations, farmer experience, and market behaviour is much harder to reproduce.
This points to a difference between artificial intelligence and territorial intelligence. By territorial intelligence is meant a body of knowledge concerning how a place works economically, ecologically and institutionally. This knowledge may be found in scientific datasets, government records, businesses, universities, communities or in the experience of individuals. While technology can help in linking these separate kinds of knowledge, it does not automatically confirm them. Local knowledge can be incomplete or inaccurate, just as large data sets can have systematic bias. A competitive advantage comes from carefully integrating situated knowledge, scientific evidence, and computational ability.
The technological aspect of a bioregional economy need not involve building a new foundation model; it could instead involve developing an architecture that enables globally available computational power to work effectively within a specific system. In this case, the scarce resource shifts from the algorithm to the quality of the relationships, data, and institutional arrangements in which the algorithm is embedded.
Climate Change and the Strategic Importance of Ecological Context
Because climate risks vary from one place to another, climate change provides another reason territorial intelligence matters. Because floods, heat, water scarcity, crop stress, coastal changes, and ecosystem disruption occur differently in different areas, adaptation must depend on the specific context. For this reason, the IPCC's framework for climate-resilient development regards adaptation, mitigation, and sustainable development as interrelated processes rather than separate technological interventions.
This results in a growing range of technologies relating to water management, climate-sensitive agriculture, flood prediction, heat mitigation, distributed energy, resilient construction, ecosystem monitoring and climate-risk analytics. Still, these technologies cannot be transferred without modification from one area to another; a flood-control system designed for a European delta cannot be taken for granted as being equally effective in a tropical Indian city, and an agricultural model created for large irrigated farms cannot automatically be made to suit rain-fed smallholders who operate within a different type of soil and institutional setup.
Bioregionalism thus provides climate technology with a key design principle. Although knowledge developed globally can be transferred, its application must account for ecological specificity, and a competitive advantage can result from being better at this kind of translation than competitors.
Ambedkar's Challenge to the Romance of the Village
Yet at this stage the Indian debate on bioregionalism comes up against a major historical issue. The notions of local production, community knowledge, decentralisation and ecological self-sufficiency can readily be linked with an idealised view of the Indian village. Any modern approach that takes this route must address B. R. Ambedkar's objections to a social and political system based in the village.
Ambedkar did not mainly object to efforts to improve rural economies; rather, he believed that the village could not be regarded as a naturally harmonious social community since real village society is based on caste, exclusion, and inherited inequalities. When, on 4 November 1948, during the debate in the Constituent Assembly, he was criticised for the Draft Constitution for overlooking India's traditional village communities, Ambedkar dismissed the notion that their historical continuity made them politically valuable. He maintained that mere survival had little worth if the social system being maintained was narrow and exclusionary, and he famously referred to the village as a “sink of localism” and a “den of ignorance, narrow-mindedness and communalism”. Particularly significant was his conclusion regarding the Constitution: he supported choosing the individual rather than the village as the basic unit.
Ambedkar's criticism highlights a significant issue that arises when people hold ideas about local and environmentally linked communities. Simply living in nature or basing one's economy locally does not, by itself, make a society equal or democratic. For instance, a village cooperative may still be run by dominant caste or social groups, and those excluded in the past may continue to have only limited access to land, water, and other resources. Traditional knowledge can likewise sustain existing occupations, and a locally owned business can still take advantage of its workers. Local control therefore does not necessarily imply equal participation or social justice.
The key difference is thus between spatial decentralisation and democratic decentralisation: the former spreads activity across different areas, while the latter disperses rights, capabilities, resources, and decision-making power among people. Although the two can reinforce one another, there is no basis for assuming that they do so automatically.
The difference fundamentally alters the meaning of bioregionalism in India.
The Bioregion Is Not the Village
A modern bioregion should not be thought of as a village on a larger scale; it may include cities, towns, villages, industrial areas, universities, hospitals, forests, agricultural systems and transport networks as well as advanced digital infrastructure. Rather than being based on rural characteristics, its organising principle is to acknowledge the ecological, productive, and institutional relationships that conventional administrative boundaries tend to obscure.
Bioregionalism is not inconsistent with advanced technology, urbanisation, or international exchange. A highly technological bioregion might include research universities, robotics companies, biotechnology laboratories, AI businesses, and globally connected manufacturers, alongside agriculture, forests, and ecological infrastructure. Describing such an economy as bioregional does not reflect the simplicity of its technology, but rather its ability to understand how its technological and productive systems relate to its material and ecological foundations.
Ambedkar's criticism highlights a significant issue: attitudes towards local and environmentally linked communities may at times fail to take this matter into account. Simply living close to nature or basing one's economy locally does not, by itself, make a society equal or democratic. For instance, a village cooperative may still be dominated by strong caste or social groups, and people who have been excluded in the past may continue to have only limited access to land, water, and other resources. Traditional knowledge can also reinforce established occupations, and a locally owned business can still take advantage of its workers. Thus local control does not necessarily imply equal participation or social justice.
The aim is to ensure that it is economically feasible to stay without making it socially wrong to leave.
At this point, a modern bioregional philosophy must differ from the romantic idea of village self-sufficiency; the region exists to enhance human capabilities, not the other way around.
The self-sufficient village or the stateless global corporation is therefore not the more economically viable option; rather, the solution is an open region—one that is capable of understanding and managing its important dependencies and at the same time sufficiently connected to draw benefits from external sources of knowledge, technology, migration, finance, and markets.
A region of this kind does not try to produce everything it uses. This is because manufacturing semiconductors, advanced scientific instruments, pharmaceuticals, aviation systems, and basic AI models relies on economies of scale and the concentration of expertise. These factors make it economically unreasonable to try to provide everything locally. As the OECD's research into place-based policy points out, the appropriate scale for policy action depends on economies of scale, spillover effects, administrative capacity, and the specific characteristics of the activity in question; highly specialised or standardised functions can often be organised more efficiently at a larger geographical scale.
From a strategic point of view, the problem is then to decide on the right scale for each capability. For example, water management could follow the lines of a watershed; infrastructure repair might be carried out at a regional level; universities can take part in regional innovation systems as well as global knowledge networks; cloud infrastructure might remain international, but sensitive datasets would need more intensive territorial governance. Manufacturing could use components from around the world while also developing regional capabilities for maintenance and modification.
It follows that bioregionalism becomes a theory of appropriate interdependence rather than one of independence.
Technology as an Instrument of Regional Capability
Put this way, the role of technology changes considerably. Technology does not then seem merely an external solution supplied to a particular area; instead, it becomes part of the infrastructure through which that area comes to understand and reorganise its own capabilities.
A bioregional technology enterprise could link farmers with knowledge about their soil, water, and climate; coordinate distributed renewable-energy systems; map industrial material flows; connect manufacturers with the facilities needed for repair and fabrication; link universities with small businesses; develop regional language technologies; or create digital platforms that allow small producers to access distant markets without giving up ownership of their productive assets.
In such an environment, the entrepreneur becomes less of an inventor and more of a systems orchestrator. Innovation can involve realising that the necessary resources and capabilities already exist but are merely disconnected within the institutional structure. Thus, the farmer has biomass, the manufacturer requires fibre, the university has materials expertise, the municipality has a waste problem, the cooperative can organise the producers, the digital platform can coordinate transactions, and the AI system can help with optimisation. The entrepreneurial action is creating a viable economic relationship among them.
This is where the link between bioregionalism and competitive advantage becomes particularly strong: the system is difficult to imitate because its value lies not in a single, easily copied product but in the accumulated architecture of relationships, knowledge, infrastructure, and trust.
Data adds another layer to this strategy. Even though digital data can move almost instantly, much of the data that holds economic value comes from specific places. Agricultural data comes from certain soils and crops. Mobility data describes certain transport systems. Environmental data matches certain ecosystems. Energy data comes from certain infrastructures.
An ordinary economic pattern may then arise when data is taken from a region, processed somewhere else, and then sent back via proprietary services. However, the analogy should not be carried too far, since data can usually be reproduced and shared without being used up as physical goods are; still, who captures the value created from information in a given region remains economically important.
A deliberate data governance approach is therefore needed for a bioregional technology strategy. Certain datasets should be made available globally, since scientific collaboration and interoperability bring substantial benefits. However, in other cases, privacy, security, indigenous knowledge, public infrastructure, or commercial sensitivity require a higher level of governance. The key issue is not whether all the data should stay local, but rather how to distribute fairly the economic and social value derived from information produced in a particular region while at the same time retaining the benefits of broader knowledge networks.
Ambedkar's involvement also links the social issue directly to competitive strategy, since exclusion is not simply unjust; it can in fact destroy productive capacity. A society which limits occupational mobility, education, ownership or participation in institutions wastes human talent. In a regional innovation system controlled by closed networks, entrepreneurs with useful knowledge but without inherited social access can be excluded. Exclusion on the grounds of gender, caste or ethnicity can reduce the effective pool of skills, ideas and enterprise available to a region.
Competitive bioregionalism therefore should not be based on preserving the communities that have been inherited. Instead, its economic strength must come from expanding access to the region's capabilities, and universities, digital infrastructure, finance, technical education, shared facilities, and entrepreneurial networks must enable more people to take part in economic transformation.
This also serves as a useful link between ecological thinking and Ambedkar's emphasis on individual freedom, since a region grows in strength not by tying individuals more closely to the traditional roles inherited from previous generations, but by enhancing their ability to take part, to innovate, to leave, to return and to establish new relationships.
The Limits of Bioregionalism
A credible theory should also specify the circumstances under which its approach is unlikely to succeed, and in such cases regionalisation can lead to higher costs, since economies of scale strongly favour concentrated global production. Efforts to create industrial clusters through subsidies may fail if the required skills, suppliers, institutions, and markets are not already in place. Location-based policies may reduce overall welfare if they unnecessarily limit labour mobility or sustain inefficient activities. The OECD's own analysis points out these trade-offs and cautions that policy should account for spillovers, governance capacity, and the different scales at which economic activities are most effectively carried out.
Regional concentration can itself create vulnerability: a drought can harm an agricultural area, a natural disaster can disrupt an industrial region, and over-specialisation can make a local economy susceptible to technological change. Because of this, bioregional resilience needs as much reliance on external networks as on internal capabilities. Where excessive concentration gives rise to systemic risk, diversity should be introduced in terms of knowledge, suppliers, capital, and markets.
This is why the framework should not be presented as an alternative economic doctrine claiming that regional production is always superior. Bioregionalism is better understood as a strategic diagnostic method for discovering when and where place produces economically significant relationships.
The resulting philosophy can now be stated more precisely. Bioregionalism becomes economically significant when it allows technology enterprises to discover capabilities that arise from the interaction of ecological conditions, specialised knowledge, productive networks, institutions, infrastructure and human skills. Its comparative advantage does not arise from locality itself, but from the difficulty competitors encounter in copying these combinations elsewhere.
Artificial intelligence may strengthen this advantage because basic computing and AI tools are becoming easier for many businesses to access, while the local knowledge, relationships, data and experience needed to use them effectively are much harder to copy. Climate change makes such local knowledge even more important because businesses increasingly need to understand their region's water, energy, climate, agriculture and other ecological conditions. At the same time, growing political and economic tensions between countries are forcing businesses to rethink their dependence on a small number of distant suppliers, production centres and infrastructure networks.
Yet Ambedkar's criticism establishes an equally important boundary around the argument. The rediscovery of place cannot become a rediscovery of inherited social enclosure. The village cannot simply be romanticised as a naturally sustainable or democratic unit, and traditional communities cannot be presumed to distribute power equitably. The political subject remains the individual even when the ecological and economic unit of analysis becomes regional.
The resulting entrepreneurial philosophy is therefore neither globalist nor localist in any simple sense. It seeks global technological access, regional productive capability, ecological intelligence, open networks and individual freedom. A technology company may use globally developed AI, international scientific knowledge and external capital while building regionally distinctive datasets, supplier networks, material expertise, ecological knowledge and institutional relationships. Its advantage comes from combining two individually insufficient capabilities: access to the global technological frontier and deep competence within a particular territory.
The central question of technology entrepreneurship consequently changes. The previous era asked how quickly a technology could escape its geographic roots and scale worldwide. Romantic localism asked how much economic life could be returned to self-contained communities. Competitive bioregionalism asks a harder question: what capabilities should be embedded in a region, what knowledge and technologies should circulate globally, and how can their interaction produce enterprises that are simultaneously competitive, ecologically viable, and socially open?
Bioregionalism, understood this way, is not a philosophy of returning to the village. It is a strategy for making technologically connected regions more capable without rendering individuals prisoners of place. Its ultimate ambition is not local self-sufficiency but a stronger form of interdependence in which technology allows places to participate in the wider world from positions of greater ecological knowledge, productive capability and social freedom.
References
Ambedkar, B. R. (1948). Constituent Assembly Debates, 4 November 1948. Constituent Assembly of India. Ambedkar's intervention on village republics appears in paragraphs 7.48.232–233.
Cooke, P., Uranga, M. G., & Etxebarria, G. (1997). “Regional innovation systems: Institutional and organisational dimensions.” Research Policy, 26(4–5), 475–491. The article develops the regional innovation-system approach around institutional learning, financial capacity and productive culture.
Gmyrek, P., Berg, J., Kamiński, K., Konopczyński, F., Ładna, A., Nafradi, B., Rosłaniec, K., & Troszyński, M. (2025). Generative AI and Jobs: A Refined Global Index of Occupational Exposure. ILO Working Paper 140. International Labour Organisation.
IPCC. (2022). “Climate Resilient Development Pathways.” In Climate Change 2022: Impacts, Adaptation and Vulnerability, Working Group II contribution to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Chapter 18.
Jacobsen, N. B. (2006). “Industrial Symbiosis in Kalundborg, Denmark: A Quantitative Assessment of Economic and Environmental Aspects.” Journal of Industrial Ecology, 10, 239–255.
OECD. (2025). Place-Based Policies for the Future. OECD Publishing. The report reviews the economic rationale for place-based development, including agglomeration, knowledge spillovers, labour-market matching and the potential costs of spatial concentration.
Porter, M. E. (1998). “Clusters and the New Economics of Competition.” Harvard Business Review, November–December 1998. Porter develops the influential argument that competitive advantage can continue to arise from geographically concentrated knowledge, relationships, suppliers and institutions despite globalisation.
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