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CAI Bin-qing, HUANG Xin-huan. Impact of R&D Investment on Regional Innovation Quality: The Threshold Effect Analysis of Regional Heterogeneous Environment[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 27-33. DOI: 10.14071/j.1008-8105(2020)-3012
Citation: CAI Bin-qing, HUANG Xin-huan. Impact of R&D Investment on Regional Innovation Quality: The Threshold Effect Analysis of Regional Heterogeneous Environment[J]. Journal of University of Electronic Science and Technology of China(SOCIAL SCIENCES EDITION), 2021, 23(1): 27-33. DOI: 10.14071/j.1008-8105(2020)-3012

Impact of R&D Investment on Regional Innovation Quality: The Threshold Effect Analysis of Regional Heterogeneous Environment

  • Purpose/Significance Understanding the impact mechanism of R&D investment and heterogeneous regional economic and industrial environment on regional innovation quality is an important basis for effective allocation of innovation resources. Design/Methodology Based on the comprehensive evaluation of regional innovation quality, this paper adopts the panel regression model to analyze the impact of four types of R&D investment on regional innovation quality. Given the regional economic and industrial environment as the threshold variable, the panel threshold regression model is applied to explore non-linear relationship between R&D investment and regional innovation quality. Findings/Conclusions Enterprises’ R&D investment could promote regional innovation quality with a significant short-term effect. The governmental R&D investment in the short term has a significant negative impact, and R&D investment from foreign and other sources produces diverse impact. Regional economic development, industrial structure, property right structure and the degree of opening up have remarkable differential effects. R&D investment strategies should be formulated based on the heterogeneity of regional economic and industrial environment, in order to promote regional innovation quality more effectively.
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