Extenics Analysis of Regional Innovation Coordination Ability
Yi Su 1, 2  
More details
Hide details
School of Economics and Management, Harbin Engineering University, P. R. CHINA
School of Economics and Management, Tsinghua University, P. R. CHINA
Online publish date: 2017-11-21
Publish date: 2017-11-21
EURASIA J. Math., Sci Tech. Ed 2017;13(12):7875–7884
This article belongs to the special issue "Problems of Application Analysis in Knowledge Management and Science-Mathematics-Education".
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.
Archibugi, D., & Coco, A. (2004). A new indicator of technological capabilities for developed and developing countries. World Development, 32(4), 629–654.
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.
Braczyk, H. (1998). Regional Innovation Systems—the Role of Governances in a Globalized World. London and Bristol: UCL Press.
Braczyk, H. J., Cooke, P., & Heidenreich, R. (1996). Regional Innovation Systems. London: London University Press.
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.
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.
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.
Chen, W. (2006). Data warehouse and data mining tutorial. Beijing: Tsinghua University Press.
Chung, S. (2002). Building a national innovation system through regional innovation systems. Technovation, (22), 485-491.
Cooke, P. (1998). Regional Innovation Systems: The Role of Governance in a Globalised World, eds. Braczyk H., Cooke P., et al. London: UCL Press.
Cooke, P. (2001). Regional innovation systems, clusters and knowledge economy. Industrial and Corporate Change, 10(4), 945–974.
Cooke, P., Boekholt, P., & Todling, F. (2000). The Governance of Innovation in Europe. London: Pinter.
Cooke, P., Go´mez Uranga, M., & Etxebarrı´a, G. (1997). Regional systems of innovation: institutional and organisational dimensions. Research Policy, 26, 474–491.
Doloreux, D. (2002). What we should know about regional systems of innovation. Technology in Society, 24, 243–263.
Fritsch, M., & Slavtchev, V. (2007). Universities and Innovation in Space. Industry and Innovation, 14(2), 201-218.
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.
Gerstlberger, W. (2004). Regional innovation systems and sustainability — selected examples of international discussion. Technovation, 24, 749-758.
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.
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).
Karasev, A.V. (2006). On two problems in extension theory. Topology and its Applications, (153), 1609-1613.
Lundvall, B. A. (1998). Innovation as an interactive process: user–producer relations. London: Technical Change and Economic Theory.
Mahroum, S., & Al-Saleh, Y. (2013). Toward a functional framework for measuring national innovation efficacy. Technovation, 33, 320-332.
Nelson, R. R. (1993). National Innovation Systems: A Comparative Analysis. Oxford: Oxford University Press.
Patel, P., & Pavitt, K. (1994). The nature and economic importance of national innovations systems, STI Review, OECD, Paris, pp. 9-32.
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.
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.
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).
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.
Wen, C., Yang, C. Y., Chen, W. W., & Li, X. S. (2008). Extension set and extension data mining. Beijing: Science press.
Xu, B. (2000). Multinational enterprises, technology diffusion, and host country productivity growth. Journal of Development Economics, (62), 477-493.
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.
Ye, J. (2009). Application of extension theory in misfire fault diagnosis of gasoline engines. Expert Systems with Applications, (36), 1217-1221.
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.