Hong Kong’s first five-year plan is the most important policy announcement in a generation. Much attention has focused on the Northern Metropolis, a vast urban blueprint meant to reshape the city’s geography. Yet the deeper story is not about land or zoning. It is about whether Hong Kong can, for the first time, build a genuine education-innovation ecosystem and ignite hard-tech industrial clusters.
The Northern Metropolis is the form; tech development is the soul; education is the root. Land and infrastructure are necessary, but they are only the carrier. What matters is whether education and technology can animate that form, transforming Hong Kong from a financial hub into a genuine innovation node.
The special administrative region government’s decision to establish three university towns — San Tin, Hung Shui Kiu, and Ta Kwu Ling — is a structural reorganization of Hong Kong’s innovation geography. Each town has a distinct focus: San Tin on medicine, life and health technology, artificial intelligence, robotics, and microelectronics; Hung Shui Kiu on smart manufacturing and global talent cultivation; Ta Kwu Ling on arts, blue-green industries, and cultural integration.
Hong Kong has long had world-class universities, but what it has lacked is a connected ecosystem where laboratories, pilot manufacturing, venture capital, and advanced industry sit within walking distance of one another. The university towns have the potential to become exactly that — if they are designed as innovation ecosystems rather than isolated campuses. The framework recognizes that innovation cannot thrive in isolation. The question is whether Hong Kong can design these towns as places where research, industry, and talent interact daily.
Global experience shows how education-driven ecosystems can power advanced innovation clusters. Silicon Valley was not built by zoning laws but by the interaction of Stanford, Berkeley, venture capital, and a culture of risk-taking. Germany’s Cyber Valley shows how universities, research institutes, and industrial giants can cocreate through “dual appointments”, embedding collaboration into institutional design. Boston’s Route 128 lost dominance to Silicon Valley because its minicomputer giants clung to rigid models. Its revival came by recentering in Kendall Square, where the Massachusetts Institute of Technology, startups, and venture capital cluster are within walking distance of each other. The lesson is clear: Institutions, not geography, drive success.
The Chinese mainland’s experience sharpens the point. Shanghai’s Tongji Knowledge Economy Circle grew organically from faculty and students clustering around Tongji University in the 1980s — a campus-periphery model where proximity did the work. By contrast, Shanghai’s Zero Bay, anchored by Shanghai Jiao Tong University, was institutionally designed in 2015 as a tripartite partnership between government, university, and enterprise — a designed cluster where the State substituted for organic growth. In Xi’an, the Western China Science and Technology Innovation Harbour (iHarbour) went further. Located roughly 30 kilometers from Xi’an Jiaotong University’s main campus, it breaks physical boundaries through the integration of campus, industry park, and community, forming a functionally integrated model. Drawing on the university’s engineering strengths, it attracted firms such as Huawei and State Grid to establish joint research and development centers. IHarbour proves that the core of a “university-anchored” innovation zone is not distance, but the efficiency of innovation-factor aggregation.
But Hong Kong cannot simply copy these models. Three differences matter. First, Hong Kong lacks anchor firms. IHarbour worked because Huawei and State Grid co-invested. Silicon Valley worked because Hewlett-Packard, Intel, and later Google and Apple grew locally. Hong Kong has no equivalent. Its university towns must therefore attract anchors by offering something unique: international talent, robust intellectual property protection, and cross-border data and capital flows under a trusted legal system.
Second, Hong Kong’s problem is not distance but friction. Hong Kong’s universities sit in a dense urban fabric with access to transport, capital, and international talent. What they lack is not proximity but connection. The barrier is institutional: Professors are rewarded for publications, not patents; students cannot easily cross-register; and venture capital is not structured for deep-tech timelines. Building new towns will not solve any of this. Reforming university governance and funding structures will.
Third, Hong Kong must design for reinvention, not just attraction. Route 128 had anchor firms and still lost its lead — because it was locked into a single industry and a static corporate model. Hong Kong’s university towns will need anchors to get started. The test is whether they also build the institutional flexibility to move beyond those anchors when the technological base shifts.
Hong Kong’s university towns must therefore integrate research with industry, encourage professors to commercialize discoveries, allow students to cross-register across institutions, and embed housing, labs, startups, and industry within walking distance.
The government has already taken steps in this direction: upgrading the University Town Committee for top-level coordination, committing HK$10 billion ($1.27 billion) in patient capital, reserving strategic space in Ta Kwu Ling, linking each university town to adjacent industry parks, and piloting cross-border flows of bio samples, capital, and data in the Hetao zone. These are necessary inputs — but they are not outcomes. They create the conditions for aggregation without guaranteeing it.
To maximize the impact of the first five-year plan, Hong Kong should go beyond replicating global models and design its own distinctive innovation agenda. That means prioritizing cross-disciplinary research in areas where the city has comparative strengths — biomedical sciences, fintech regulation, and microelectronics — while embedding international partnerships into the new education ecosystem. It also requires cultivating a culture of risk-taking by reforming university governance to reward entrepreneurship and research with real-world impact, not just publications. Finally, Hong Kong must position itself as the Guangdong-Hong Kong-Macao Greater Bay Area’s agenda-setter, shaping standards and frameworks for hard-tech clusters rather than merely following Shenzhen’s lead.
The measure of success will not be hectares rezoned or buildings constructed, but whether Hong Kong can reignite its technological ambition and finally build the education-innovation ecosystem it has long lacked.
The author is a professor of globalization and business at the City University of Hong Kong.
The views do not necessarily reflect those of China Daily.
