摘要
在智能经济的发展上,中国不仅是全球创新网络和创新循环的重要组成部分,而且扮演着引领者角色。人工智能的通用技术属性和数据驱动特征决定了智能经济全球创新网络和创新循环形成和演化机制的独特性。人工智能在基础研究、应用开发和规模应用(生产)全球创新链上下游环节的跨国交流、合作和应用的创新循环,不仅需要互补性创新和专用性知识积累,而且依赖数据流动和反馈。创新、专用性知识积累和数据资产的互补性和正反馈效应,在保证全球创新循环正常运转的同时,带动全球创新网络发生结构性变革。其中,依托在产品生产和规模应用(生产)中获得的数据、互补性创新和专用性知识积累优势,中国在基础研究和应用开发领域的创新本地化是构建创新内循环的基础,同时又是推动全球创新网络结构高级化和创新循环发展的积极力量,是市场机制发挥作用的结果。非市场因素的介入不仅无法改变智能经济发展的长期趋势,反而可能导致实施技术封锁策略的国家在科技创新和产业化领域的停滞。
In the development of intelligent economy,China is not only an important part of the global innovation network and innovation cycle,but also plays a leading role.The general technical attributes and data-driven characteristics of artificial intelligence determine the uniqueness of the formation and evolution mechanism of global innovation network and innovation cycle of intelligent economy.The innovation cycle of cross-border communication,cooperation and application of artificial intelligence in basic research,application development and scale application(production)of the upstream and downstream links of the global innovation chain not only requires complementary innovation and specific knowledge accumulation,but also depends on data flow and feedback.Innovation,the accumulation of specific knowledge and the complementarity and positive feedback effects of data assets not only ensure the normal operation of the global innovation cycle,but also lead to structural changes in the global innovation network.Among them,relying on the advantages of data obtained in product production and scale applications(production),complementary innovation and the accumulation of specific knowledge,China's innovation localization in the field of basic research and application development is the basis for the construction of the internal cycle of innovation.At the same time,it is a positive force to promote the advanced global innovation network structure and innovation cycle development,and the result of the role of the market mechanism.The intervention of non-market factors can not only change the long-term trend of the development of intelligent economy,but may lead to the stagnation of countries implementing technology blockade strategy in the field of scientific and technological innovation and industrialization.
作者
刘刚
靳中辉
Liu Gang;Jin Zhonghui(Institute of Economics,Nankai University,Tianjin 300071,China)
出处
《河北经贸大学学报》
CSSCI
北大核心
2022年第1期33-45,共13页
Journal of Hebei University of Economics and Business
基金
国家自然科学基金重大项目“大型企业创新驱动的创业研究”(72091311)
中国科协项目“科技治理年度报告”(20200608CG110204)。
关键词
全球创新网络
创新循环
互补性创新
人工智能
智能经济
global innovation network
innovation cycle
complementary innovation
artificial intelligence
intelligent economy
