Evaluation of Inter-Park Innovation Coupling Degree Based on Complex System and Its Application

Abstract

In the contemporary landscape of innovation ecosystems, the interactions and collaborations among parks play a pivotal role in fostering regional innovation dynamics. This study introduces a novel approach for evaluating the degree of innovation coupling between parks, employing principles from complex systems theory. Leveraging a comprehensive dataset encompassing various dimensions of innovation activities, including technological advancements, knowledge exchange, and entrepreneurial activities, a multi-dimensional evaluation framework is constructed. Utilizing methods such as network analysis and statistical modeling, the inter-park innovation coupling degree is quantified, capturing the intricate interdependencies among diverse innovation entities within and across parks. Furthermore, an application of the proposed framework is demonstrated through a case study, elucidating its efficacy in identifying key drivers and barriers shaping inter-park innovation dynamics. The findings not only provide insights into the complex nature of innovation ecosystems but also offer actionable recommendations for policymakers and park administrators to enhance collaboration and innovation synergy among parks, thereby fostering regional socio-economic development.