ABSTRACT
Since the acceleration of China's national defense technology development, it is urgent to comprehensively analyze and evaluate the national defense technology development strength and build a qualitative and quantitative indicator system for it. From the perspective of entire national defense technology development, this paper designs a three-level evaluation indicator system for national defense technology development. Based on the subjective and objective combination weighting method, this paper uses the grey relational analysis from the grey system theory to determine the weight of indicators of national defense technology development, and then designs the overall evaluation method to realize the scientific evaluation for national defense technology development.
- Wagner Can Science and Technology Capacity be Measured? http://users.fmg.uva.nl//lleydesdorff/cwagner/Thesis/Chapter%20VI%20Capacity%20Index.pdf.Google Scholar
- Daniele Archibugi, Alberto Coco. A New Indicator of Technological Capabilities for Developed and Developing Countries(ArCo).World Development,Vol.32,No.4,629-654,2004.Google ScholarCross Ref
- Meghnad Desai, Sakiko Fukuda-Parr, Claes Johansson, Fransisco Sagasti.Measuring the Technology Achievement of Nations and the Capacity to Participate in he Network Age. Journal of Human Development,2002,3(1):96-122.Google Scholar
- Stern S, Poter M E, Furman J L. The determinants of national innovative capacity[R].National bureau of economic research,2000.Google Scholar
- Furman J L, Poter M E, Stern S. The determinants of national innovative capacity[C]// Academy of Management Proceedings. Briarcliff Manor, NY 10510:Academy of Management,2000,2000(1):A1-A6.Google Scholar
- Institute of Global Innovation and Development, East China Normal University. Evaluation Report on Science and Technology Competitiveness between China and the United States [M]. Shanghai: East China Normal University Press,2019:3.Google Scholar
- Michael E. Porter. Trans. Chen Lifang. Competitive Strategy [M]. Beijing: CITIC publishing house,2014.Google Scholar
- Michael E. Porter. Trans. Li Mingxuan, Qiu Rumei. The Competitive Advantage of Nations [M]. Beijing: CITIC publishing house,2007.Google Scholar
- World Economic Forum. Global Competitiveness Report 2014-2015.https://www.weforum.org/reports/global-competitiveness-report-2014-2015.Google Scholar
- Pan Jiaofeng Research Report on International Competitiveness of Science and Technology [M]. Beijing: Science Press,2010:8.Google Scholar
Recommendations
Research on Evaluation of Efficiency of Regional Scientific and Technological Output in China
ICIII '09: Proceedings of the 2009 International Conference on Information Management, Innovation Management and Industrial Engineering - Volume 02Based on the statistics in 2005 from 31 major provinces or regions in China released by National Bureau of Statistics of China, this paper applies grey relational analysis to analyze the efficiency of regional scientific and technological output. ...
Grey Relational Analysis on Technology Input and Economic Growth: Evidence from Henan Province in China
CESCE '10: Proceedings of the 2010 International Conference on Challenges in Environmental Science and Computer Engineering - Volume 02Based on the statistics during the period from 2000 to 2008 released by Henan Statistical Bureau in China, this paper applied the grey relational analysis to analyze the relationship between technology input including scientists and technicians and ...
Coordinated Development of Metropolitan Logistics and Economy Toward Sustainability
Metropolitan economic development can yield more logistics demands and provide stronger financial support for logistics industry, and logistics development in turn can boost economic growth by reducing transaction cost and increasing economic operation ...
Comments