Articlegold2024

The spatial-temporal evolution characteristics and influencing factors of the coupling between the industrial chain and innovation chain in China

6 citations0/0 files storedSustainable Futures

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University-Industry-Government Innovation Models Regional Economics and Spatial Analysis Regional Development and Innovation

Abstract

Exploring the theoretical logic, development characteristics and improvement paths of the deep coupling of innovation chains and industrial chains (two-chain) is of great importance for building a modern industrial system and developing productive forces. However, empirical evidence on the spatial-temporal characteristics and influencing factors of two-chain coupling is still lacking. In this study, the degree of coupling coordination model is applied to assess the degree of two-chain coupling in China using provincial panel data from 2013 to 2022. In addition, spatial analysis is applied to investigate the spatial-temporal evolution characteristics of the variables in question. On this basis, the fuzzy set qualitative comparative analysis (fsQCA) method is applied to identify influential factors. The results indicate that: (1) Temporally, the coupling level of the two-chain shows a consistent upward trend and gradually develops a distribution pattern characterized by high values in the east and weak values in the west. (2) Spatially, there is a significant positive spatial correlation between the two-chain coupling. (3) In terms of drivers, the increase in two-chain coupling is attributed to multiple factors. Three models can be identified: human-driven, capital-driven and information-driven, which are influenced by the cooperation between government and market. The novelty of this article lies in its exploration of the theoretical logic and developmental characteristics of two-chain coupling, while empirically demonstrating its driving factors. This study provides a new perspective for governments and relevant departments to improve two-chain linkages and promote economic development.

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References

2022Connected knowledge spillovers, technological cluster innovation and efficient industrial structure 2022Research on the impact of green finance and abundance of natural resources on China's regional eco-efficiency 2015Strategic Human Resource Management, Innovation Capability and Performance: An Empirical Study in Indonesia Software Industry 2023Impact and mechanism analysis of ESG ratings on the efficiency of green technology innovation 2020Influence of Supply Chain Collaborative Innovation on Sustainable Development of Supply Chain: A Study on Chinese Enterprises 2023Intangible resources, static and dynamic capabilities and perceived competitive advantage in exporting firms. A PLS-SEM/fsQCA approach 2021The evolution of the industrial value chain in China's high-speed rail driven by innovation policies: A patent analysis 2024How does business environment affect firm digital transformation: A fsQCA study based on Chinese manufacturing firms

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