Suitable Innovation in Industry 5.0: The Moderating Mechanism of Innovation Transmission Types in Innovation Ecosystem
研究利用投入产出法测量中国制造业2010-2020年数据，分析吸收型、溢出型和象限型创新在研发投入与创新产出之间的调节作用，为工业5.0创新生态系统提供路径参考。
Guiding the transformation of manufacturing industries achieve suitable innovation ecosystem to face Industry 5.0. In this study, the Input-Output method is used to measure spilled ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SI</i> ), absorbed ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AI</i> ), and quadrant-based innovation ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">QI</i> ) in order to examine their moderating roles in the two-stage innovation ecosystem. Based on data from the Chinese manufacturing sector from 2010 to 2020, this paper uses a moderated mediation model. The result shows that: the positive effect of R&D investment on innovation output is enhanced by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AI</i> , and innovation production stage is enhanced by <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SI</i> , which is different from <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">QI</i> . Besides, distinguishing the subjects and uses of R&D investment has different transmission characteristics, especially <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">QI</i> shows moderating effects in almost all innovation stages. This study empirically analyzes the moderating effects in the innovation ecosystem and fills the gap in the comparison of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AI</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">SI</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">QI</i> based on industry self-comparison, which makes an approach to Industry 5.0 from the perspective of the innovation ecosystem require the empirical study of industrial innovation patterns. By extending the theoretical framework of innovation transmission within the multi-subject, multi-stage innovation ecosystem, the study of moderating effects also offers suitable paths for innovative transmission in Industry 5.0. The application of objective methods to clarify the inter-industrial innovation production connections has revealed the ‘black box’ of the innovation ecosystem's internal transmission processes. By guiding innovation subjects to create a ‘synergy’ and promoting a positive innovation transmission ecosystem in Industry 5.0.