Abstract

The construction of regional innovation system is an important direction for modern cities and regional economic development and industrial transformation. Based on the existing research results, this paper selects relevant data of Qingyuan from 2001 to 2017, and uses patent authorization, output value of high-tech products and total export value as the evaluation system of regional innovation output to build a regional innovation system model including five influencing factors such as research and development investment, economic structure, infrastructure, opening level and innovation policy. With the help of SPSS software, the conclusions are drawn through principal component analysis that the selected factors have significant positive effects on the innovation output of Qingyuan, and the infrastructure, economic structure and the level of opening to the outside world have the greatest impact, with a smaller impact coefficient on R&D investment. This shows that Qingyuan's ability to attract high-quality funds and advanced technologies needs to be strengthened, infrastructure construction needs to be further improved, and scientific research efficiency should be improved. In view of the above conclusions, this paper finally puts forward corresponding policy recommendations. In the future, Qingyuan municipal government should speed up the infrastructure construction focusing on transportation and logistics, give appropriate research and development subsidies to local enterprises, improve the efficiency of local enterprises in introducing advanced science and technology from Guangzhou, and better grasp the integrated development mode of Guangzhou and Qingyuan.

Highlights

  • As an important factor in economic and social development, innovation is a strong driving force for achieving long-term high-quality economic development in a region, and it is the main driving force for promoting benign competition in the market, upgrading of products and industrial structures

  • Different levels of economic development and social environment between different regions, such as geographic topography, cultural atmosphere, transportation infrastructure, labor quality, capital adequacy, and industrial structure, all lead to a differentiated economic structure

  • It has been widely believed that R&D investment, economic structure, infrastructure, openness and innovation policy support are all important factors in promoting regional innovation

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Summary

Introduction

As an important factor in economic and social development, innovation is a strong driving force for achieving long-term high-quality economic development in a region, and it is the main driving force for promoting benign competition in the market, upgrading of products and industrial structures. Qingyuan Municipal Committee proposed that Qingyuan, as the closest city to Greater Bay Area, should seize the opportunity of revitalization and development, highlight its own characteristics, reconstruct industrial transformation and upgrading, stimulate scientific and technological innovation, strengthen cooperation between Guangzhou and Qingyuan, and actively integrate into the construction of Greater Bay Area. In this context, this paper combines the regional characteristics and development direction of Qingyuan, collects and collates relevant economic data of Qingyuan from 2001 to 2017, and establishes an influencing factor analysis model including R&D (Research and Development) investment, economic structure, infrastructure, openness and innovation policy. Principal Component Analysis (PCA) is used to objectively empower selected indicators to avoid subjective factors such as expert scoring, and regression analysis is used to analyze the influencing factors and effects of Qingyuan's regional innovation system

Research on the Connotation of Regional Innovation System
Research on the Influencing Factors of Regional Innovation System
Research on Regional Innovation Output
Review Comments
Regional Innovation System Factors Variable Selection
Selection of Regional Innovation Output Evaluation Indicators
Data Source and Processing
Variable Analysis of Comprehensive Evaluation of Regional Innovation Output
Findings
Empirical Analysis of Influencing Factors of Regional Innovation System
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