Abstract
Although the triple helix model has successfully explained the complex evolution of multi-agent interaction in the innovation ecosystem, further research is still needed to classify and examine the mechanism of micro-innovation systems. Different from previous work, we regard the research institution as an independent innovation unit, and on this basis, we redefine the efficiency of the innovation system from the perspective of the collaboration and spatial relationship among the innovation units. In this way, the innovation system is actually carried out based on the accumulation of knowledge in the innovation unit, on the collaborative efficiency as the driving factor, and on the conditions of economic equilibrium under local resource constraints. The microscopic description of mathematical modeling clarifies the interaction mechanism of innovation units and provides a new angle for evaluating the efficiency of innovation systems. In addition, the model can better understand the evolution direction of innovation systems under the acceleration of changes in the economic and knowledge creation paradigm, and it also provides quantitative ideas for predicting the development of future innovation systems.
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Pan, J., Guo, J. Innovative Collaboration and Acceleration: an Integrated Framework Based on Knowledge Transfer and Triple Helix. J Knowl Econ 13, 3223–3247 (2022). https://doi.org/10.1007/s13132-021-00852-4
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DOI: https://doi.org/10.1007/s13132-021-00852-4