From "Management Committee + Enterprise" to Innovation Governance: R&D Game in Science and Technology Parks from the CPSS Perspective

Event: A Modeling Study of R&D Games in Science and Technology Parks

In March 2026, a research team from the School of Management at Shenyang University of Technology published a paper in *Frontiers in Physics*. From the perspective of "sociophysics," and based on the Cyber-Physical-Social Systems (CPSS) framework, they constructed a tripartite evolutionary game model involving high-tech parks, park-based technology enterprises, and academic research institutions under the "administrative committee + enterprise" model. Using replicator dynamics equations and numerical simulations, the study analyzed the impact of key parameters such as the information layer (value-added services), physical layer (equity investment), and social layer (subsidy ratio) on system stability.

Reasons: Failure of Traditional Governance Models and the Complexity of Digital Collaboration

The background of this research is the deep institutional transformation of Chinese science and technology parks. Traditional administratively led park governance has gradually revealed shortcomings in resource allocation efficiency, multi-agent collaboration, and sustained incentives. To improve efficiency, China has promoted reforms of development zones, forming a dual-track structure of "administrative committee + enterprise": the administrative committee is responsible for public governance and policy coordination, while the park operation company handles market-oriented operations. At the same time, the deep application of digital technologies has given R&D processes CPSS characteristics: data platforms constitute the information layer, experimental facilities constitute the physical layer, and policy institutions constitute the social layer, with dynamic interaction among the three. The study aims to answer: under multi-layer coupling, how can collaborative R&D move toward a stable equilibrium?

Industry Impact: Nonlinear Evolution and Governance Boundaries

The findings have direct implications for the operation and policy design of science and technology parks. First, value-added services are not necessarily better in greater quantity; rather, a threshold effect exists—appropriate information support can reduce information asymmetry and drive the system to converge toward a collaborative equilibrium, whereas too little or too much may lead to instability. Second, equity investment changes the stability interval of the system: moderate participation forms a risk-sharing mechanism, but excessive shareholding weakens enterprises' R&D incentives. Third, the subsidy ratio represents the intensity of governance; moderate intervention can promote cooperation, while excessive intervention may cause strategic distortion. The core factor is strategic benefit: when the system-level collaborative benefit exceeds a critical value, it triggers cross-layer positive feedback and pushes the system toward stable cooperation. This means that the competitive advantage of a science and technology park comes from ecosystem-level collaborative design rather than a single tool.

Significance for Canada: A Mirror for Innovation Cluster Governance ## Significance for Canada: A Mirror for Innovation Cluster Governance

Canada has a large number of science and technology parks and innovation clusters, such as the technology ecosystem in the Waterloo region, the MaRS innovation centre in Toronto, and the AI labs in Montreal. Although governance models differ, this research reveals several common issues: first, the role of digital platforms in innovation clusters needs to be precisely calibrated, and an excessively high "intensity of digital services" may cause disruption; second, government or park operator equity participation needs to be moderate, otherwise it may stifle the vitality of enterprises; third, subsidy policies should avoid excessive intervention and focus on the design of incentive structures. More importantly, the research proposes a positive feedback mechanism of "strategic returns" — when all parties recognize that the systemic returns generated by cooperation outweigh short-term competition, a self-sustaining cooperative equilibrium can emerge. This has reference value for Canada in building innovation ecosystems in areas such as quantum computing, AI, and clean technology.

Global Trend: Social Physics and CPSS as a New Frontier in Innovation Research

This research reflects the global shift in innovation governance research toward "social physics." Using cyber-physical-social systems as an analytical framework means that innovation is no longer a simple linear input-output process, but rather a multi-agent, multi-level, non-linear evolutionary process. As digital governance becomes increasingly embedded in R&D infrastructure, understanding the coupling mechanisms of the information layer, physical layer, and social layer will become a foundational capability for science and technology policy-making in all countries. This research also provides a new quantitative tool for future park governance — testing policy parameters through evolutionary game models, rather than relying on ex-post evaluation.

Long-Term Trend: From "Managing Parks" to "Cultivating Ecosystems"

The long-term trend truly worth sustained attention is this: the role of science and technology parks is evolving from "spatial carriers" into "ecosystem engines." Future innovation clusters must simultaneously possess three capabilities — digital connectivity, physical facilities, and institutional incentives — and find their optimal configuration. When building AI and clean technology clusters, Canada needs to treat policy design as a dynamic system rather than a set of fixed rules. This research suggests that collaborative equilibrium is not achieved once and for all, but rather continues to evolve. Canada should focus on establishing cross-layer feedback mechanisms, such as linking the design of data-sharing platforms, commercialization infrastructure, and funding policies to generate system-level strategic returns. This logic will have a profound impact on the innovation governance of Canada's technology industry over the next 3 to 10 years.Reference source: Meng Qiu, Haitao Ji, Miao Wang, Jifa Wang. "The R&D game of technological achievements in industrial parks under the 'administrative committee + enterprise' model: a CPSS perspective." *Frontiers in Physics*, vol. 14, 2026. Original link