The formation mechanism of national innovative capacity is analyzed and the process-oriented conceptual framework of national innovative capacity is designed. Firstly,by dividing the national innovation system into three basic functional modules including resources, environment, and output, the general cause-effect feedback loops of the NIS are designed. Secondly, the RBF neural-network is used to testify the basic assumptions on the relationship between different function modules, and based on the testing results, the System Dynamics (SD) model which is aimed at to show how government policies affect the innovation is set up. Finally, by introducing input delay, pulse and step function into the NIS, how S&T investment, personnel training, intellectual property protection, tax incentives, and other factors affect the output of the NIS is discussed.
Key words
national innovative capacity /
neural network /
SD
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References
[1] OECD. Science, Technology and Industry: Scoreboard of Indicators 1997 . Paris, 1997.
[2] OECD. Science, Technology and Industry: Scoreboard 2007 . Paris, 2007.
[3] EU. European innovation scoreboard 2000 , Secretary-General of the European Commission, Brussels, 2000.
[4] EU. European innovation scoreboard 2006 , Secretary-General of the European Commission, Brussels, 2006.
[5] EU. Global innovation scoreboard 2006 , Secretary-General of the European Commission, Brussels, 2006.
[6] World Economic Forum. Global Competitiveness Report 2006-2007 . dol: http://www.weforum.org/.
[7] International Institution for Management Development. World Competitiveness yearbook, 2001-2006 . dol: http://www.imd.ch/.
[8] United Nations Development Programme. Human Development Report 2001: Making new technologies work for human development . dol: http://www.undp.org/hdr2001/.
[9] World Bank. 2006 Knowledge Economy Index . dol: http://www.worldbank.org/kam.
[10] United Nations Industrial Development Organization. Industrial Development Report 2002/2003 . United Nations New York and Geneva, 2003.
[11] Daniele Archibugi, Alberto Coco. A New Indicator of Technological Capabilities for Developed and Developing Countries (ArCo) [J]. World Development, Vol. 32(4), 2004, pp. 629-654.
[12] Daniele Archibugi, Alberto Coco. Measuring technological capabilities at the country level: A survey and a menu for choice[J]. Research Policy, Vol. 34, 2005, pp. 175-194.
[13] Fulvio Castellacci. DRUID Working Papers No.06-21, Convergence and Divergence among Technology Clubs .Copenhagen Business School, Department of Industrial Economics and Strategy/Aalborg University, Department of Business Studies, 2006.
[14] Michael E. Porter, Scott Stern. National Innovative Capacity [J]. dol: http://www.isc.hbs.edu/Innov_9211.pdf.
[15] Jeffrey L. Furman, Michael E. Porter, Scott Stern. Understanding the drivers of national innovative capacity [J] dol:http://people.bu.edu/furman/html/research/files/Innovative%20Capacity%20-%20Best%20Paper%20Proceedings.pdf.
[16] Jeffrey L. Furman, Michael E. Porter, Scott Stern. The determinants of national innovative capacity[J]. Research Policy, Vol.31, 2002, pp. 899-933.
[17] Mei-Chih Hu,John A. Mathews. National innovative capacity in East Asia[J]. Research Policy, Vol.9, 2005, pp. 1322-1349.
[18] John A. Mathews, Mei-Chih Hu. Enhancing the Role of Universities in Building National Innovative Capacity in Asia: The Case of Taiwan[J]. World Development, Vol.4, 2007, pp. 1005-1020.
[19] Joshua Gans, Scott Stern. Assessing Australia's Innovative Capacity in the 21st Century . Intellectual Property Research Institute of Australia. 27th June, 2003.
[20] Joshua Gans, Richard Hayes. Assessing Australia's Innovative Capacity: 2006 Update . Intellectual Property Research Institute of Australia. 18th December 2006.
[21] Dan Steinbock. Finland's Innovative Capacity, Regional Developmet, 2006 .Helsinki, 13.dol: http://www.intermin.fi/jul-kaisut, 2006.
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