Open Access
Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
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|
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Article Number | 02049 | |
Number of page(s) | 7 | |
Section | Machine Learning and Energy Industry Structure Forecast Analysis | |
DOI | https://doi.org/10.1051/e3sconf/202021402049 | |
Published online | 07 December 2020 |
- Li Shoulin, Zhao Rui, Chen Lihua. Innovation performance evaluation of logistics enterprises based on grey relation analysis and TOPSIS [J]. Industrial technology and economy, 2018 37 (04): 12-21. [Google Scholar]
- Cao Yanling. Enterprise technological innovation performance evaluation based on weighted grey entropy correlation degree [J]. Technology economy and management research, 2015 (09): 43-47. [Google Scholar]
- Zhang Yong’an, Lu Ming. Evaluation of innovation efficiency of high-tech manufacturing industry and Research on the difference of factor input [J]. Science and technology progress and countermeasures, 2019 36 (16): 51-57. [Google Scholar]
- Sui Jun, Bi Kexin, Yang Chaojun, Liu Gang. Influencing factors of innovation performance of green innovation system in manufacturing industry -- Based on the perspective of technology transfer of multinational companies [J]. Science research, 2015 33 (03): 440-448. [Google Scholar]
- Liu Mingguang, Li Gaoyang. Research on innovation performance evaluation of regional innovation system in China [J]. Modern management science, 2011 (03): 72-74. [Google Scholar]
- Gao Changyuan, Cheng L.u. Research on knowledge innovation performance model of high-tech virtual industry cluster based on grey relation analysis [J]. Library and information work, 2010, 54(18): 72-75. [Google Scholar]
- Wang Xiaomeng. An Empirical Study on the performance evaluation of regional technological innovation policies from the perspective of correlation and grey correlation analysis [J]. Scientific research management, 2014 35 (05): 38-43. [Google Scholar]
- Wang Qingsong, Cheng L.i. Grey correlation analysis of enterprise technological innovation and enterprise economic performance [J]. China Science and Technology Forum, 2009 (12): 64-68. [Google Scholar]
- Zhang Likun, Liu Xiaoli. Grey correlation analysis of influencing factors of urban innovation performance [J]. Science and technology management research, 2014 34 (01): 230-233. [Google Scholar]
- Pei Xiao, Chen Junling. Research on technological innovation performance evaluation of high-tech industry in Hubei Province [J]. Science and technology progress and countermeasures, 2013 30 (21): 128-132. [Google Scholar]
- Yang haochang, Li Lianshui. Measurement and Enlightenment of synergy between knowledge and product innovation in high-tech enterprises [J]. Scientific research, 2018 36 (10): 1889-1895. [Google Scholar]
- Sheng Yanwen, Ma Yanji. Evaluation and influencing factors of coupling coordination degree of regional industry, University and research innovation system [J]. Economic geography, 2017 37 (11): 10-18 + 36. [Google Scholar]
- Xu Sheng, Yang Xuelong. Research on collaborative development of innovation driven and marine industry agglomeration based on the grey relational analysis of coastal provinces and cities in China [J]. East China economic management, 2018 32 (02): 109-116. [Google Scholar]
- Fan Decheng, Du Mingyue. Dynamic comprehensive evaluation of technological innovation capacity of high-tech industry based on TOPSIS grey relation projection method -- from the perspective of Beijing Tianjin Hebei integration [J]. Operation research and management, 2017 26 (07): 154-163. [Google Scholar]
- Li Bing, Cao Fang, Ma Yanling. Evaluation of urban innovation ability based on grey analysis [J]. Library and information, 2012 (03): 121-124. [Google Scholar]
- Hao Qingmin, Wu Qianyue, Ge Guofeng. Innovation and risk of Green Credit: grey relational analysis [J]. Financial theory and practice, 2016 (07): 81-85. [Google Scholar]
- Li Ziqiong, Li Xiangdong, Chen Xiaoxue. Research on comprehensive evaluation of innovation and transformation capacity of development zones based on grey correlation degree [J]. Macroeconomic research, 2015 (12): 115-120. [Google Scholar]
- Tang Decai, Tang Jiexin, Liu Hao. Comparison and evaluation of “new type” of manufacturing industry in Central China [J]. Industrial technology and economy, 2016 35 (06): 111-121. [Google Scholar]
- Tong Jixin, Chen Jixing, Cai Yuancheng. Study on the evaluation of the efficiency of regional scientific and technological innovation based on the grey relation analysis -- Taking Jiangsu Province as an example [J]. Scientific and technological progress and countermeasures, 2011 28 (10): 108-110. [Google Scholar]
- Bai Yanzhuang, Zhao Guangjie, Wang Bo, Zhang Baoyin. Grey comprehensive evaluation of technological innovation ability of enterprises [J]. Journal of Tianjin University, 2006 (S1): 288-292. [Google Scholar]
- Jiang Wenxian. Research on the evaluation of regional scientific and technological innovation capacity in Guangdong Province [J]. Science and technology management research, 2016 36 (08): 75-79 + 86. [Google Scholar]
- Hao Xiaoyan, Liu Yuanyuan, Liang Xiaoyong. Analysis of regional technological innovation capacity and its relationship with economic growth in Inner Mongolia [J]. Scientific management research, 2010 28 (04): 21-24 + 28. [Google Scholar]
- Wei Hong, Li hengying, Wang Xuejun. The application of grey correlation analysis in the comprehensive evaluation of the benefits of enterprise technology center [J]. Science and technology management research, 2007 (11): 67-70. [Google Scholar]
- Wang Fang, Wang Jingdong. Grey correlation analysis of economic development and technological progress in regional innovation in Jiangsu Province [J]. Statistics and decision making, 2005 (06): 75-76. [Google Scholar]
- Liu Bing, Feng Hua, Wang Haiteng, Zhang Xiaowei. Research on grey correlation evaluation of innovation output and innovation environment factors -- Taking Zhongguancun as an example [J]. Academic forum, 2016 39 (01): 49-53. [Google Scholar]
- Zhang Jian, Li Pei. Evaluation on the integration degree of collaborative innovation of modern service industry in Beijing and Tianjin: grey relational analysis [J]. Modern finance and Economics (Journal of Tianjin University of Finance and Economics), 2016 36 (01): 13-21. [Google Scholar]
- Jia Chunguang, Cheng Junmo, Tan Xiaoyu. Dynamic evaluation and spatial difference analysis of regional science and technology innovation capacity in Shandong Province [J]. Science and technology management research, 2020 40 (02): 106-114. [Google Scholar]
- Li Zheng, Zhou Lun. Grey relation comprehensive evaluation method of enterprise technological innovation capability based on AHP [J]. East China economic management, 2008 (09): 106-109. [Google Scholar]
- Zhang Jinle, Yi Chenchen, Ge Jing. Research on Development Strategies of aerospace manufacturing industry in Western China based on Entropy Weight Grey Correlation Model [J]. Science and technology progress and countermeasures, 2015 32 (17): 77-81. [Google Scholar]
- Yao Yanting, Chen Wanming. Research on low-carbon agriculture and technological innovation based on grey correlation model [J]. Statistics and decision making, 2014 (14): 93-96. [Google Scholar]
- Yang Mengyuan, Yu Yiyong. Research on decision-making model of sustainable innovation opportunity for innovative enterprises [J]. Journal of Yunnan University of Finance and economics, 2018 34 (12): 96-105. [Google Scholar]
- You Daming, Huang Xizi. Selection and evaluation of breakthrough technological innovation partners [J]. Systems engineering, 2014 32 (03): 99-103. [Google Scholar]
- Qian Mingxia. Analysis of the factors related to the development of China’s high-tech industry and independent innovation [J]. Journal of Southeast University (PHILOSOPHY AND SOCIAL SCIENCES EDITION), 2008 (03): 34-38 + 127. [Google Scholar]
- Pang Qinghua. Comprehensive evaluation model of enterprise technological innovation capability based on grey theory [J]. Science and technology management research, 2007 (12): 113-115 + 118. [Google Scholar]
- Qi yanru, Liu Yun, Hou Yuanyuan. Comparative study on regional innovation capability based on analysis of patent influencing factors [J]. China management science, 2013, 21 (S2): 594-599. [Google Scholar]
- Wang Fang, Tang Pengzhi, Zhou Jun. empirical research on technological innovation of high tech industry in Jiangxi Province [J]. Enterprise economy, 2009 (08): 111-113. [Google Scholar]
- Huang Han, Zhu Yubing. An Empirical Study on the influencing factors of technological innovation output capacity in Guangxi Based on the grey relational analysis model [J]. Guangxi Social Sciences, 2013 (06): 22-24. [Google Scholar]
- Qiu Dongfang. Grey correlation analysis of Macro Influencing Factors of agricultural R & D intensity in China [J]. East China economic management, 2013 27 (03): 29-34. [Google Scholar]
- Yang Qingyu, Li Ming. An empirical measurement of regional independent innovation capacity based on Grey Relational Analysis -- Taking Chongqing as an example [J]. Soft science, 2011 25 (01): 91-94 + 101. [Google Scholar]
- Wang Zhibo. Evaluation of technological innovation ability of enterprises based on AHP grey relational model [J]. Statistics and decision, 2013 (04): 51-53. [Google Scholar]
- Li Meijuan, Chen Guohong, Chen Guolong. Research on the evaluation of industrial technological innovation ability based on the grey correlation degree [J]. Journal of Shanxi University of Finance and economics, 2008 (06): 51-57. [Google Scholar]
- Jing Xueqing. Grey correlation analysis of technological innovation ability and economic growth in Shanghai [J]. Modern management science, 2013 (01): 6-9. [Google Scholar]
- Changyumiao, changchangchangchun. Correlation effect of Jiangsu’s marine and land industries and Countermeasures for coordinated development [J]. Regional research and development, 2012 31 (04): 34-36 + 46. [Google Scholar]
- Huang Lucheng, Zhang Hongcai. Analysis on the relationship between manufacturing competitiveness and technological innovation capacity in Beijing [J]. Science and technology progress and countermeasures, 2005 (10): 50-51. [Google Scholar]
- Zhao Jingfeng, Wang Yanrong. Empirical Study on the relationship between innovation culture characteristics and entrepreneurship performance of high-tech enterprises [J]. Management world, 2011 (12): 184-185. [Google Scholar]
- Wang Zhangbao, Li Lei. Grey correlation analysis of technological innovation ability and industrial competitiveness of China’s manufacturing industry [J]. Science and technology management, 2007 (07): 38-42. [Google Scholar]
- Song Wei, Cao Zhendong, Peng Xiaobao. Fuzzy evaluation of regional independent innovation ability based on grey correlation degree [J]. Journal of Beijing University of Technology (SOCIAL SCIENCE EDITION), 2010 12 (03): 66-70. [Google Scholar]
- Li Rui, Zhou Ping. Government behavior and independent innovation: an analysis framework based on the perspective of supply and demand [J]. China Science and Technology Forum, 2012 (03): 11-17. [Google Scholar]
- Li Bozhou, Yin Shi. Research on the multi-attribute decisionmaking model of manufacturing enterprise partner selection based on consistency -- cooperative innovation perspective [J]. Operations research and management, 2018 27 (06): 6-13. [Google Scholar]
- Zhu Minghao, dou shuihai, Jia J.i. Analysis of the effect of China’s automobile industry technology innovation policy [J]. Scientific research management, 2017 38 (07): 26-36. [Google Scholar]
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