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| The Improvement Path of Coupling Coordination Degree of the Multi-factor-driven Regional Innovation Chain：An fsQCA Analysis Based on TOE Framework |
| Wang Jinfu,Qiu Jing,Zhang Yingying |
| (School of Management, Xi'an Polytechnic University, Xi'an 710048, China) |
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Abstract The degree of cohesion of each stage in the innovation chain influences the combination, flow and diffusion of innovation elements. Coupling coordination is conducive to improving the overall level and comprehensive competitiveness of regional technological innovation. However, in the practice of regional innovation, various “chain breaks” usually exist in the innovation chain, such as insufficient support for basic research, difficult transformation of technological achievements, and a lack of market for innovative technology products. These phenomenon lead to limited regional innovation activities and the development predicament that key core technologies hit a bottleneck, which has attracted wide attention from the academic circle. Thus, scholars have conducted research into the connotation, internal structure and coordinated development of regional innovation chain.Scholars have clarified the internal causes and external conditions for improving the coupling coordination degree of the regional innovation chain. However, there still remain some problems to be further explored. What is the synergic relationship among the influencing factors of the regional innovation chain? What is the complex configuration mechanism? What ways can be used to help multiple factors improve the coupling coordination degree of the regional innovation chain? What factors play more important roles? How should each region choose its appropriate promotion path based on its own organizational conditions and resource superiority? #br#Therefore, on the basis of the regional innovation chain of “knowledge innovation — R&D innovation — product innovation” and the technology—organization—environment (TOE) framework, this paper establishes a research framework to drive multiple factors to improve the coupling coordination degree of the regional innovation chain, and measures the coupling coordination degree of the regional innovation chain in 31 inland provinces of China. In addition, it uses the fuzzy-set qualitative comparative analysis (fsQCA) method to explore the differentiation way that can drive the improvement of the coupling coordination degree of the regional innovation chain in order to provide the theoretical basis and decision reference for the improvement of the coupling coordination degree of the regional innovation chain in different regions.#br#The data in this paper comes from 31 inland provinces of China. Since multiple influencing factors have to be taken as the antecedent conditions in the fsQCA method , there may be a lag period. Thus,the coupling coordination degree model of 2020 data is used to measure the result variable, the coupling coordination degree of the regional innovation chain. The digital technology level, the government support level, the industry-university-research cooperation level, the higher education investment level and the marketization level are selected as the antecedent condition variables, all of which are from the data in 2019.#br#The following are the results of this study. (1) There are obvious differences in the coupling coordination degree of the regional innovation chain among the eastern, middle and western provinces. The coupling coordination degree of the regional innovation chain in the eastern region has obvious advantages over the central and western regions. (2) The digital technology and marketization levels are the key factors that drive the improvement of the coupling coordination degree of the regional innovation chain. (3) Through configuration, multiple factors can play a role in improving the coupling coordination degree of the regional innovation chain. There are four driving ways to improve the coupling coordination degree of the regional innovation chain: the balanced type of “knowledge — R&D — product” innovation, the leading type of “R&D — product” innovation, the leading type of “knowledge — R&D” innovation, and the leading type of product innovation.#br#Different from previous studies, this study puts forward the differentiated improvement path of the coupling coordination degree of the regional innovation chain by identifying the interaction and combination relationships between multiple influencing factors. The conclusions of the study are helpful in expanding the research perspective on the regional innovation chain and have practical values for effectively improving the coupling coordination degree of the regional innovation chain in different regions.#br#
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Received: 15 August 2022
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