Study on the effect of international knowledge flows on the industry innovation performance in China

Jia Liu, Xuan Ting Ye*, Yun Liu

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    From the industrial perspective, absorbing and obtaining external knowledge can save the cost of innovation and accelerate the transformation of knowledge and technology, which plays an important role in promoting industrial innovation. Three industries, namely, computer and communications, drugs and medical, electrical and electronic are taken as the objects of the empirical study. Negative binomial models and related regression models for measuring the effect of international knowledge flow on the industry innovation performance are constructed by collecting and arranging the international knowledge flow data and innovation performance data related to high-tech industry. The empirical analysis results show that patent transnational cooperation demonstrates positive promotion effects on the increase number of industry authorized patents; patent transnational citation makes a significant role in promoting the future patent citation frequency; the technical innovation brought by technology introduction funds plays an important role in the development and industrialization of new products.

    Original languageEnglish
    Pages (from-to)1669-1676
    Number of pages8
    JournalJournal of Applied Sciences
    Volume13
    Issue number10
    DOIs
    Publication statusPublished - 2013

    Keywords

    • Algorithmsknowledge flow
    • Industry innovation performance
    • Negative binomial models

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