How do R&D capital market distortions affect innovation efficiency in China? Some evidence about spatial interaction and spillover effects

Silu Pang, Guihong Hua and Hui Liu

Socio-Economic Planning Sciences, 2023, vol. 90, issue C

Abstract: Improving innovation efficiency (IE) and refining capital market distortions are important considerations for promoting national innovation strategies. This study uses the dynamic spatial Durbin model and mechanism tests to explore the direct impacts, spatial effects, and influencing mechanisms of R&D capital market distortions on IE based on Chinese provincial panel data from 2009 to 2019. The main results can be summarized as follows. First, China’s IE is characterized by temporal inertia and spatial agglomeration. In both the spatial and temporal dimensions, IE in neighboring areas in the previous period can inhibit local IE in the current period. Second, R&D capital market distortions have a weakening effect on IE in the short- and long-term. Third, R&D capital market distortions have significant spatial interaction and persistent positive spatial spillover effects on IE. Finally, R&D capital mismatch and technology lock-in effects are essential mechanisms related to R&D capital market distortions that can inhibit IE. Based on these results, policy recommendations have been proposed to improve IE.

Keywords: R&D capital market distortions; Innovation efficiency; Dynamic spatial Durbin model; Spatial spillover effect; Spatial interaction effect (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:90:y:2023:i:c:s0038012123002513

DOI: 10.1016/j.seps.2023.101739

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