Research on the Interaction between Scientific and Technological Innovation and High-quality Development in Gansu Province

Scientific and Technological (S&T) innovation is the key and core factor influencing the achievement of high-quality development (HQD). Research object: This paper takes Gansu Province as the subject, examining the interaction between HQD and S&T innovation in Gansu Province from 2015 to 2023. Methodology: This paper constructs a simultaneous equations model using two estimation equations with HQD and S&T innovation as the dependent variables, respectively. The model is estimated based on the three-stage least squares method (3SLS), conducting empirical research on the interaction between HQD and S&T innovation in Gansu Province from 2015 to 2023. Research conclusions: During the period from 2015 to 2023, there was joint endogeneity between S&T innovation and HQD in Gansu Province, exhibiting a mutually reinforcing positive correlation. The relationship between S&T innovation and HQD in Gansu Province was in a state of equilibrium under low efficiency.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1145/3724154.3724305
Primary Topic
Economic Growth and Productivity
Type
article
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article

Research on the Interaction between Scientific and Technological Innovation and High-quality Development in Gansu Province

Jianwei Li, Yanyan Xie
Economic Growth and Productivity
article

Research on the Interaction between Scientific and Technological Innovation and High-quality Development in Gansu Province

Jianwei Li, Yanyan Xie
article en

Abstract

Scientific and Technological (S&T) innovation is the key and core factor influencing the achievement of high-quality development (HQD). Research object: This paper takes Gansu Province as the subject, examining the interaction between HQD and S&T innovation in Gansu Province from 2015 to 2023. Methodology: This paper constructs a simultaneous equations model using two estimation equations with HQD and S&T innovation as the dependent variables, respectively. The model is estimated based on the three-stage least squares method (3SLS), conducting empirical research on the interaction between HQD and S&T innovation in Gansu Province from 2015 to 2023. Research conclusions: During the period from 2015 to 2023, there was joint endogeneity between S&T innovation and HQD in Gansu Province, exhibiting a mutually reinforcing positive correlation. The relationship between S&T innovation and HQD in Gansu Province was in a state of equilibrium under low efficiency.

Institute of Scientific and Technical Information (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Economic Growth and Productivity
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