Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example
International Journal of Business and Economics Research
Volume 9, Issue 1, February 2020, Pages: 40-49
Received: Oct. 23, 2019;
Accepted: Jan. 28, 2020;
Published: Feb. 13, 2020
Views 308 Downloads 87
Hui He, Research Department, Qingyuan Polytechnic, Qingyuan, China
Yibo Qin, Guangzhou Urban Strategy Institute, Guangzhou Academy of Social Sciences, Guangzhou, China
Huihui Deng, Research Department, Qingyuan Polytechnic, Qingyuan, China
Qi Gao, Research Department, Guangdong University of Foreign Studies, Guangzhou, China
Weitao Liu, Guangzhou Urban Strategy Institute, Guangzhou Academy of Social Sciences, Guangzhou, China
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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.
Regional Innovation System, Principal Component Analysis, Qingyuan Guangdong
To cite this article
Empirical Study on Influencing Factors of Regional Innovation Output System-Take Qingyuan, Guangdong as an Example, International Journal of Business and Economics Research. Special Issue: Microfinance and Local Development.
Vol. 9, No. 1,
2020, pp. 40-49.
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
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Cooke P. Regional innovation systems: Competitive regulation in the new Europe [J]. Geoforum, 1992, 23 (3): 365-382.
Cooke P. Regional Innovation Systems: The Role of Governance in the Globalized World [M]. London: UCL Press, 1996.
Asheim B T, Isaksen A. Location, agglomeration and innovation: Towards regional innovation systems in Norway? [J]. European Planning Studies, 1997, 5 (3): 299-330.
Chaoqing Yuan, Sifeng Liu. The Maturity of Regional Innovation System and Its Impact on Innovation Input-Output Efficiency—Based on the Research of 31 Provinces in China [J]. China Soft Science, 2013 (03): 101-108.
Song Wang, Shuhua Hu, Renyan Yan. Theoretical Source and Framework of Regional Innovation System [J]. Science Research, 2013, 31 (03): 344-349+436.
Triguero A, Córcoles D. Understanding innovation: An analysis of persistence for Spanish manufacturing firms [J]. Research Policy, 2013, 42 (2): 340-352.
Frank A G, Cortimiglia M N, Ribeiro J L, et al. The effect of innovation activities on innovation outputs in the Brazilian industry: Market-orientation vs. technology-acquisition strategies [J]. Research Policy, 2016, 45 (3): 577-592.
Shulin Liu, Lingfei Tian. The Impact of R&D Investment from Different Industries on Regional Innovation Output [J]. Science and Technology Progress and Countermeasures, 2019, 36 (04): 33-39.
Xibao Li. China's regional innovation capacity in transition: An empirical approach [J]. Research Policy, 2009, 38 (2): 338-357.
Shulin Liu, Zhijian Hu. Distribution and Causes of Regional Innovation Capability in China [J]. Scientific Research, 2002 (05): 550-556.
Cook P, Boekholt P, Tödtling, Franz, et al. The Governance of innovation in Europe: regional perspectives on global competitiveness [M]. London: Pinter, 2000: 37.
Wei SU, Zhou-zhou Lin. Study on the Spatial Effect and Influencing Factors of Regional Innovation Activities [J]. Quantities Economics & Economics Research, 2017, 34 (11): 63-80.
Wenguang Bo. The Impact of Foreign Direct Investment on China's Technology Innovation—Based on Regional Level Research [J]. Financial Research, 2007 (06): 4-17.
Fengqi Sun, Zhiwei Tian. The Way to Improve Regional Innovation Efficiency: Selective Protection or Fully Open [J]. Scientific and Technological Progress and Countermeasures, http://kns.cnki.net/kcms/detail/42.1224.42.1224.G3.20190329.0854.012.html.
Xianghua Wang, Liping Fu, Yongjun He. An Empirical Analysis of Government Science and Technology Input Benefits in China's Regional Innovation System [J]. Scientific Management Research, 2011, 29 (01): 1-5.
Guoming Xian, Wenguang Bo. The Impact of Foreign Direct Investment on the Technological Innovation of Chinese Enterprises—Based on Analysis at the Regional Level [J]. Economic Sciences, 2006 (03): 106-117.
Runxiu Hou, Jiancheng Guan. The Influence of Foreign Direct Investment on China's Regional Innovation Capability [J]. China Soft Science, 2006 (05): 104-111.
Buesa M, Heijs J, Mónica Martínez Pellitero, et al.. Regional systems of innovation and the knowledge production function: the Spanish case [J]. Technovation, 2006, 26 (4): 463-472.
Xianhui Wu, Haiyan Wu, Qiang Lu, Wu Yang. An Empirical Study on the Influencing Factors of China's Regional Innovation System—Taking Shenzhen as an Example [J]. Science and Technology Progress and Policy, 2011, 28 (07): 26-31.
Li Yan, Jun Zhang. An Empirical Study on the Impact Factor Analysis Model of Regional Innovation System—Taking Wuhan as an Example [J]. Economic Issues, 2011 (06): 119-122.
Zhang Aihua. Construction of Evaluation Index System for Regional Innovation [J]. Statistics and Decision, 2017 (24): 51-53.