创新要素配置如何推动制造业高质量发展?

IF 15.6 1区 管理学 Q1 BUSINESS Journal of Innovation & Knowledge Pub Date : 2024-07-01 DOI:10.1016/j.jik.2024.100511
Cui Li , Jie Zhu , Changqi Tao
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引用次数: 0

摘要

数字技术改变创新模式,创新主体中的创新要素将被数字赋能。政府在创新要素配置中起着非常重要的决定作用。因此,有必要明确未来制造业高质量发展的主要动力来源,以帮助政府利用数字技术合理调整创新要素配置。我们运用系统动态模型对制造业创新机制进行了刻画,并在前人文献的基础上设定了相关参数,预测了不同情景下的创新变化。研究发现,政府科技支出能显著提高创新绩效,其次是信息支出,而政府教育支出需要达到一定规模才能发挥积极作用。因此,政府在调整支出结构时,应确保教育支出的长期性和稳定性,充分发挥人才等创新要素的作用。同时,还应保障信息基础设施的建设和维护,从而加强数字时代的产学研协同创新,推动制造业高质量发展。
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How does the innovative factor allocation promote the high quality development of manufacturing industry?

Digital technology changes the innovation mode, and the innovative factors among innovation subjects will be digitally empowered. The government plays a very important role in determining the allocation of innovative factors. Therefore, it is necessary to clarify the main source of power for the high-quality development of the manufacturing industry in the future, so as to help the government to use digital technology to adjust the innovative factors allocation appropriately. We used systematic dynamic model to portray the innovation mechanism of manufacturing industry and set relevant parameters based on previous literature to predict the variation of innovation under different scenarios. It was found that government expenditure on science and technology can significantly improve innovation performance, followed by information expenditure, while government expenditure on education needs to reach a certain scale before it can play a positive role. However, after passing a certain threshold, education has a significantly positive role in promoting innovation.Therefore, when the government adjusts the structure of expenditures, it should ensure long-term and stable education expenditure, give full play to the role of innovative factors such as talents. It should also ensure the construction and maintenance of information infrastructure, so as to enhance the industry-university-research collaborative innovation in the digital era and promote high-quality development of manufacturing industry.

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来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
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