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| The Dual Innovation Path and Generation Mechanism of the Emerging Technology of Cities in China: Taking Biomedical Technology as an Example |
| Wang Tao,Wang Luwei,Zhang Han |
| (School of Geographical Sciences, Nanjing Normal University, Nanjing 210023, China) |
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Abstract While innovation is the first driving force for development, it has become the main strategy of China's participation in international division of labor and building sustainable competitive advantages to establish a national innovation system and cultivate innovative cities with Chinese characteristics. The different innovation paths of different cities mainly depend on the innovation behaviors of their internal innovation subjects. Theoretically, the first-mover has the ability to utilize existing resources in mature markets and develop new products in emerging markets at the same time, and can implement synchronic balance mode according to urban assets and external environment. The second-mover is limited by resources, so it is more suitable to adopt the sequential balance mode. However, in practice, there are some differences between the innovative behaviors of the first-mover and second-mover and the current theoretical research. Moreover, with the development of practice and the deepening of related research, scholars' cognitive perspective on dual innovation has gradually expanded from a single organizational subject to complex network members, frequently using network theory to reveal the innovation path and its mechanism, but these studies are quite different. Therefore, it is necessary to further explore the path and mechanism of urban dual innovation in China in the background that innovation is becoming increasingly networked and the mechanism of urban dual innovation lacks uniform standards. Biomedicine, as one of the important industries leading the world economy in the future, has not yet entered the stage of large-scale commercialization, so it is a good case to study the early stage of technology development in emerging industries..#br#In this paper, biomedical technology is taken as the research subject. According to the patent IPC code, the technology co-occurrence network is established, the urban dual innovation index is constructed, the evolution characteristics and innovation pattern of biomedical technology in China are analyzed. Based on the cooperative patent data, this paper establishes the innovation cooperation network and analyzes the evolution characteristics of the innovation network. Using the hierarchical regression model, this paper explores the mechanism of urban dual innovation path and the main innovation path..#br#The results show that the technological accessibility of the biomedical subdivision field has gradually been weakened. Since 2013, the degree of technological systemization has been continuously strengthened, and technological integration has shown community characteristics. The incremental innovation and breakthrough innovation capabilities have a significant positive dependence in space, but each has different mechanisms. Degree centrality is more important for knowledge search depth and incremental innovation, while structural holes are more important for knowledge search breadth and breakthrough innovation. Knowledge search depth is more conducive to incremental innovation, and search width is more conducive to breakthrough innovation. Relationship strength plays a positive role in the process of incremental innovation, and plays a negative role in the process of breakthrough innovation. Different types of cities show different evolutionary characteristics in terms of network location, knowledge search and relationship strength. Therefore, there are obvious differences in the choice of the main path of innovation..#br#This paper analyzes the evolution characteristics of biomedical technology in China and urban technology atlas is helpful for cities to identify basic common technologies and key core technologies of biomedicine, find the opportunity window of "discontinuous technologies" and embed them into the global innovation chain. It explores the pattern and mechanism of urban dual innovation, and draws the panoramic innovation paths of different types of cities to exert their subjective initiative, clarify their own division of labor in the innovation system, and formulate innovative strategies with design, direction and overall situation, so as to realize innovation breakthrough and technology catch-up.#br#The main innovations of this paper are as follows. Methodologically, by constructing the technology co-occurrence network, the evaluation indexes of urban dual innovation capability, such as technology universality, technology relevance, technology exploration and technology integration, are further enriched, which provides a quantitative method for the follow-up study of urban dual innovation mechanism. Theoretically, it is different from the analysis of the dual innovation path of sequential balance model and synchronic balance model in previous studies, but it analyzes the preference of different types of cities for the primary and secondary paths of dual innovation in different development periods from three angles of city network location, knowledge search level and node connection intensity.#br#
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Received: 08 December 2020
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