MEASURING THE EFFICIENCY OF TECHNOLOGICAL INNOVATION IN CHINA’S HIGH-TECH INDUSTRY BASED ON THE DEA-MALMQUIST INDEX METHOD (19-23)

MEASURING THE EFFICIENCY OF TECHNOLOGICAL INNOVATION IN CHINA’S HIGH-TECH INDUSTRY BASED ON THE DEA-MALMQUIST INDEX METHOD (19-23)

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Дата публикации статьи в журнале: 2020/11/09
Название журнала: Американский Научный Журнал, Выпуск: 42, Том: 2, Страницы в выпуске: 19-23
Автор:
Minsk, Belarusian State University, PhD graduate student, Economic faculty
Автор: Korotkevich Alexey Ivanovich
Minsk, Belarusian State University, PhD of Economic Sciences
Автор:
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Анотация: This article uses DEA data envelopment analysis method, combined with Malmquist index, through the analysis of China's high-tech industry scientific research input and output data from 2008 to 2018, obtained the Malmquist index of comprehensive innovation efficiency of China's high-tech industry in the past 10 years, then analyzes the efficiency of technological innovation in China's high-tech industry, and puts forward optimization and policy recommendations.
Ключевые слова: DEA  Malmquist index  high technology  innovation              
DOI:
Данные для цитирования: Xu Xiaoyun Korotkevich Alexey Ivanovich . MEASURING THE EFFICIENCY OF TECHNOLOGICAL INNOVATION IN CHINA’S HIGH-TECH INDUSTRY BASED ON THE DEA-MALMQUIST INDEX METHOD (19-23). Американский Научный Журнал. Экономические науки. 2020/11/09; 42(2):19-23.

Список литературы: 1. Dan Wang, Xinli Zhao (2016) "The Time Lags Effects of Innovation Input on Output in National Innovation Systems: The Case of China", Discrete Dynamics in Nature and Society, 15. 2. National Bureau of Statistics of China. http://www.stats.gov.cn/. 3. Qian Xuesen, Yu Jingyuan, Dai Ruwei (1990) A new scientific field-open complex giant system and its methodology. Journal of Nature 1: 3-10. 4. Li Meijuan, Chen Guohong (2003) Research and Application of Data Envelopment Analysis (DEA). China Engineering Science 6: 88-94. 5. Wu Qi, Wu Chunyou (2009) Research on Energy Efficiency Evaluation Model Based on DEA. Management Science 1:103-112. 6. Yang Qingke, Duan Xuejun (2014) Research on the Spatiotemporal Measurement and Provincial Differences of High-tech Industry Development Efficiency Based on DEA-Malmquist Model. Economic Geography 7: 103-110. 7. Wang Haifeng, Luo Yafei, Fan Xiaoyang (2010) International comparison of R&D innovation evaluation based on super-efficiency DEA and Malmquist index. Science of Science and Management of Science and Technology 4: 42-49.