Two Routes to Scale: Four Lessons from Asia’s Leading Innovation Clusters
Two Routes to Scale: Four Lessons from Asia’s Leading Innovation Clusters
How do regions turn research and industrial capabilities into global innovation? A Stanford Next Asia Policy Lab seminar examined two distinct models in Tokyo-Yokohama and China’s Greater Bay Area.
What makes an innovation cluster successful? Some regions rely on research universities and venture capital, while others draw power from established industries, manufacturing networks, and government coordination. Knowing these differences is essential for universities and companies seeking international research partnerships.
At a recent seminar hosted by the Stanford Next Asia Policy Lab (SNAPL) at Stanford Asia-Pacific Research Center, three experts from the Swedish Foundation for International Cooperation in Research and Higher Education (STINT) – Executive Director Andreas Göthenberg, Science Fellow in Japan and South Korea Laura Barbieri, and Representative in China and APAC Erik Forsberg – discussed two leading innovation regions: Tokyo-Yokohama and China’s Greater Bay Area. Drawing on new reports and interviews with regional stakeholders, they shared findings on how each ecosystem developed, where its strengths lie, and how international partners can engage successfully.
Their core insight is that no universal formula exists for scaling innovation. Recognizing how each ecosystem works is the first step toward aligning engagement strategies for successful, high-impact collaboration.
Look Beyond Rankings to Understand Regional Strengths
Tokyo-Yokohama has built its position through more than a century of industrial and scientific expertise. Its innovation ecosystem connects major corporate research laboratories, universities, and national research institutes, supported by substantial corporate and public investment.
For years, this region topped the World Intellectual Property Organization’s (WIPO) global innovation cluster rankings. Its move to second place in 2025, due to the introduction of venture capital activity as an indicator, reflected differences in funding methods rather than indicating a decline in research quality.
China’s Greater Bay Area presents a contrasting model. This megacity region systematically combines nine key cities in Guangdong Province along with the Special Administrative Regions of Hong Kong and Macao. Its innovation system developed alongside manufacturing, with companies and industrial supply chains driving technological development before large-scale university research emerged as a defining feature. Shenzhen illustrates this advantage: the city’s electronics markets and supplier networks enable entrepreneurs to easily source components and quickly develop prototypes.
Instead of relying on ranked lists, universities and companies should assess regions according to the specific capabilities they need. While Tokyo-Yokohama offers deep institutional research capacity, China’s Greater Bay Area combines industrial scale with rapid product development.
Connect Research to Industries That Can Scale It
In Tokyo-Yokohama, established institutions and corporate research and development play crucial roles in driving innovation. The environment sustains continuity and long-term growth, but complex governance and limited venture capital can slow commercialization, particularly in deep technology and life sciences.
On the other hand, the Greater Bay Area uses a combination of research and manufacturing. Shenzhen and Guangzhou have robust industrial capacity and an expanding research infrastructure, while Hong Kong brings internationally connected universities and research networks. This evolving network of university campuses and research centers is fostering additional links between these resources.
However, it is important to note that the Greater Bay Area is not a single, uniform ecosystem. Hong Kong, Macao, and mainland Guangdong operate under different legal, educational, funding, and administrative systems. These differences create practical barriers to moving people, money, data, and technology across borders.
The key is to design partnerships around a pathway from research to real-world application. In Japan, this could mean building stronger industry-university connections and developing industrial doctoral programs. In the Greater Bay Area, it means identifying the right jurisdiction and considering cross-border constraints from the start.
Build Relationships Before Expecting Results
Barbieri emphasized that international collaboration in Tokyo-Yokohama is concentrated among leading institutions. Approximately 55% of scientific publications from the cluster involve international co-authors, while around 7% of patent filings include foreign partners or inventors. This suggests that, while international research collaboration is more established, cross-border commercial partnerships are still developing.
Platforms such as Tokyo Innovation Base and SusHi Tech Tokyo can help international partners make those crucial initial connections. Still, sustained collaboration generally requires relationships with universities, research institutes, and individual research groups. Tying projects to Japan’s mission-oriented strategies, including Society 5.0 and Green Innovation, can also assist in finding common goals and potential financial support.
Institutional agreements matter, but they are not enough. Memoranda of understanding can provide legitimacy and facilitate cooperation; trusted relationships between researchers are what make joint projects work.
It is important to combine institutional assistance with researcher-level engagement. International partners should identify specific collaborators, set shared research objectives, and dedicate time to build trust rather than pursuing broad, surface-level engagement.
Treat Internationalization as a Long-Term Strategy
Both regions face challenges with talent mobility, governance, and geopolitics. Japan aims to balance openness with protecting key technologies, all while managing language barriers and a shortage of specialized researchers.
In China, growing research capabilities coexist with elevated security concerns and restrictions that limit some researchers’ international travel. Comprehending this policy landscape is key to successfully navigating collaborations.
Göthenberg’s broader argument was that international engagement must be guided by science intelligence. It requires a systematic, evidence-based analysis to help institutions grasp global research trends, pinpoint opportunities, and anticipate risks.
For universities and companies, this calls for moving beyond instinct or familiar networks when choosing international partners. It requires knowing where expertise lies, how funding and governance operate, and whether a partnership can deliver sustained mutual benefit.
Tokyo-Yokohama and China’s Greater Bay Area demonstrate two distinct routes to innovation at scale. The most effective international strategies recognize these differences, connect complementary strengths, and prioritize focused and durable partnerships instead of seeking broad connections alone.
View STINT's recent reports on global science and innovation clusters, part of its Outlook library:
