Archives
Current issue
About
About us
Aims and Scope
Abstracting and Indexing
Editorial Office
Open Access Policy
Publication Ethics
Journal History
Publisher
Follow us: Twitter
Contact
For Authors
Editorial Policy
Peer Review Policy
Manuscript Preparation Guidelines
Copyright & Licencing
Publication Fees
Fee Waiver Policy for Doctoral Students
EJMSTE Language Editing Service
More
Statistics
Special Issues
Special Issue Announcements
Published Special Issues
SPECIAL ISSUE PAPER
Extenics Analysis of Regional Innovation Coordination Ability
1
School of Economics and Management, Harbin Engineering University, P. R. CHINA
2
School of Economics and Management, Tsinghua University, P. R. CHINA
Online publication date: 2017-11-21
Publication date: 2017-11-21
EURASIA J. Math., Sci Tech. Ed 2017;13(12):7875-7884
KEYWORDS
TOPICS
ABSTRACT
The study reviews Chinese and international regional innovation capacity and extenics theory, and applies extenics theory to construct a measurement model of regional innovation coordination. It empirically researches 31 Chinese provinces on the coordination of regional innovation in both 2007 and 2015. The research findings indicate that the Industry-University-Research status is not optimistic in China: on the one hand, the coordination abilities of most enterprises are relatively low; and on the other hand, compared with 2007, the proportion of areas with good coordination dropped 10% in 2015. It is thus clear that the effect of adjustments by relevant government departments relating to Industry-University-Research is poor and the coordination of innovation abilities in some provinces are falling rather than rising. Relevant decision-making authorities should take note of this and take more effective measures to promote the coordination of research cooperation and to enhance regional coordination.
REFERENCES (33)
1.
Archibugi, D., & Coco, A. (2004). A new indicator of technological capabilities for developed and developing countries. World Development, 32(4), 629–654.
2.
Archibugi, D., Denni, M., & Filippetti, A. (2009). The technological capabilities of nations: the state of the art of synthetic indicators. Technological Forecasting and Social Change, 76(7), 917–931.
3.
Braczyk, H. (1998). Regional Innovation Systems—the Role of Governances in a Globalized World. London and Bristol: UCL Press.
4.
Braczyk, H. J., Cooke, P., & Heidenreich, R. (1996). Regional Innovation Systems. London: London University Press.
5.
Buesa, M., Heijs, J., & Baumert, T. (2010). The determinants of regional innovation in Europe: A combined factorial and regression knowledge production function approach. Research Policy, (39), 722-735.
6.
Buesa, M., Heijs, J., Pellitero, M., & Baumert, T. (2006). Regional systems of innovation and the knowledge production function: the Spanish case. Technovation, 26, 463-472.
7.
Chao, K. H., & Li, C. J. (2010). An intelligent maximum power point tracking method based on extension theory for PV systems. Expert Systems with Applications, (37), 1050-1055.
8.
Chen, W. (2006). Data warehouse and data mining tutorial. Beijing: Tsinghua University Press.
9.
Chung, S. (2002). Building a national innovation system through regional innovation systems. Technovation, (22), 485-491.
10.
Cooke, P. (1998). Regional Innovation Systems: The Role of Governance in a Globalised World, eds. Braczyk H., Cooke P., et al. London: UCL Press.
11.
Cooke, P. (2001). Regional innovation systems, clusters and knowledge economy. Industrial and Corporate Change, 10(4), 945–974.
12.
Cooke, P., Boekholt, P., & Todling, F. (2000). The Governance of Innovation in Europe. London: Pinter.
13.
Cooke, P., Go´mez Uranga, M., & Etxebarrı´a, G. (1997). Regional systems of innovation: institutional and organisational dimensions. Research Policy, 26, 474–491.
14.
Doloreux, D. (2002). What we should know about regional systems of innovation. Technology in Society, 24, 243–263.
15.
Fritsch, M., & Slavtchev, V. (2007). Universities and Innovation in Space. Industry and Innovation, 14(2), 201-218.
16.
Furman, J. L., & Hayes, R. (2004). Catching up or Standing Still? National Innovative Productivity Among ‘Follower’ Countries: 1978-1999. Research Policy, 33(9), 1329-1354.
17.
Gerstlberger, W. (2004). Regional innovation systems and sustainability — selected examples of international discussion. Technovation, 24, 749-758.
18.
Haske, J. E., Pereira, S. C., & Slaughter, M. J. (2007). Does inward foreign direct investment boost the productivity of domestic firms? Review of Economics and Statistics, (89), 482-496.
19.
Hsueh, S. L., Su, F. L. (2016). Critical factors that influence the success of cultivating seed teachers in environmental education. Eurasia Journal of Mathematics, Science & Technology Education, 12(11).
20.
Karasev, A.V. (2006). On two problems in extension theory. Topology and its Applications, (153), 1609-1613.
21.
Lundvall, B. A. (1998). Innovation as an interactive process: user–producer relations. London: Technical Change and Economic Theory.
22.
Mahroum, S., & Al-Saleh, Y. (2013). Toward a functional framework for measuring national innovation efficacy. Technovation, 33, 320-332.
23.
Nelson, R. R. (1993). National Innovation Systems: A Comparative Analysis. Oxford: Oxford University Press.
24.
Patel, P., & Pavitt, K. (1994). The nature and economic importance of national innovations systems, STI Review, OECD, Paris, pp. 9-32.
25.
Samara, E., Georgiadis, P., & Bakouros, I. (2012). The impact of innovation policies on the performance of national innovation system: A system dynamics analysis. Technovation, 32, 624-638.
26.
Todtling, F. (1992). Technological Change at the Regional Level: the role of location, firm structure, and strategy. Environment and Planning A, 24(11), 1565-1584.
27.
Tsai, I. C., & Lei, H. S. (2016). The Importance and Satisfaction of Collaborative Innovation for Strategic Entrepreneurship. Eurasia Journal of Mathematics, Science & Technology Education, 12(3).
28.
Wang, M. H., Tseng, Y. F., Chen, H. C., & Chao, K. H. (2009). A novel clustering algorithm based on the extension theory and genetic algorithm. Expert Systems with Applications, (36), 8269-8276.
29.
Wen, C., Yang, C. Y., Chen, W. W., & Li, X. S. (2008). Extension set and extension data mining. Beijing: Science press.
30.
Xu, B. (2000). Multinational enterprises, technology diffusion, and host country productivity growth. Journal of Development Economics, (62), 477-493.
31.
Yang, C., Wang, G., Li, Y., & Cai, W. (2005). Study on Knowledge Reasoning Based on Extended Formulas. In International Conference on AIAI, pp. 797-805.
32.
Ye, J. (2009). Application of extension theory in misfire fault diagnosis of gasoline engines. Expert Systems with Applications, (36), 1217-1221.
33.
Yu, Y., Huang, Y., & Wang, M. (2005). The Related Matter-Elements in Extension Detecting and Application. In Proceedings of IEEE International Conference on Information Technology and Applications (ICITA), pp. 411-418.
Share
RELATED ARTICLE
| eISSN: | 1305-8223 |
| ISSN: | 1305-8215 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
