Science Research Management ›› 2023, Vol. 44 ›› Issue (1): 1-7.
Li Xuhui1, Yang Mengcheng1, Yan Han2, Guo Shuzhou3
Received:
2021-07-10
Revised:
2021-12-29
Online:
2023-01-20
Published:
2023-01-18
Li Xuhui, Yang Mengcheng, Yan Han, Guo Shuzhou. Measurement and trend evolution of the S&T innovation ability of the AI industry in China[J]. Science Research Management, 2023, 44(1): 1-7.
[1] 吴朝晖.交叉会聚推动人工智能人才培养和科技创新[J].中国大学教学,2019(2):4-8. Wu Zhaohui.Cross meeting promotes the cultivation of artificial intelligence talents and scientific and technological innovation[J].Teaching in Chinese universities, 2019(2):4-8.[2] 李紫娟.加快推动人工智能产业高质量发展[J].红旗文稿,2021(2):27-29. Li Zijuan. Accelerating the high-quality development of artificial intelligence industry [J]. Hongqi Manuscript, 2021 (2):27–29.[3] 陶爱萍,吴文韬.进口推动经济高质量发展吗?一个供给侧的视角[J].世界经济研究,2020(6):73-88+136-137. Tao Aiping, Wu Wentao. Does import promote high-quality economic development ?A supply-side perspective [ J ]. World Economic Research, 2020 (6):73-88+136-137.[4] 曹佳蕾,李停.基于熵权GC-TOPSIS的区域科技创新能力评价与实证[J].统计与决策,2020,36(15):171-174. Cao Jialei, Li Tan.Based on entropy weight GC-TOPSIS regional science and technology innovation ability evaluation and empirical [J].Statistics and decision-making, 2020,36 (15):171-174.[5] 杜丹丽,曾小春.速度特征视角的我国高新技术企业创新能力动态综合评价研究[J].科研管理,2017,38(7):44-53. Research on dynamic comprehensive evaluation of innovation ability of high-tech enterprises in China from the perspective of speed characteristics [J].Scientific research management, 2017,38 (7):44-53.[6] 柳卸林,杨博旭.多元化还是专业化? 产业集聚对区域创新绩效的影响机制研究[J].中国软科学,2020(9):141-161. Liu Xielin, Yang Boxu. Diversification or specialization? Research on the Influence Mechanism of Industrial Agglomeration on Regional Innovation Performance [J]. China Soft Science, 2020 (9):141-161.[7] 黄容霞,魏萍,潘孝珍.高等教育人力资本集聚对技术创新的空间效应——以湖北省地级市为例的实证分析[J].中国高教研究,2021(1):70-76+95. Huang Rongxia, Wei Ping, Pan Xiaozhen.The spatial effect of human capital agglomeration in higher education on technological innovation - An empirical analysis of prefecture-level cities in Hubei Province [J].China ' s higher education research, 2021(1):70-76+95.[8] 徐辉,周孝华.外部治理环境、产融结合与企业创新能力[J].科研管理,2020,41(1):98-107. Xu Hui, Zhou Xiaohua.External governance environment, the combination of industry and finance and enterprise innovation ability [J].Research management, 2020,41(1):98-107.[9] 陈洪玮,王欢欢.创新平台发展对区域创新能力的溢出效应研究[J].科学学与科学技术管理,2020,41(3):32-46. Chen Hongwei, Wang Huanhuan.Spillover effect of innovation platform development on regional innovation ability [J].Science and science and technology management, 2020,41(3):32-46.[10] 韩嫣,武拉平.FDI对中国农业企业创新溢出效应的分解——基于吸收能力的门槛回归分析[J].国际贸易问题,2020(8):132-146. Han Yan, Wu Laping. Decomposition of FDI on Innovation Spillover Effect of Chinese Agricultural Enterprises - Threshold Regression Analysis Based on Absorptive Capacity [J]. International Trade Issues, 2020(8):132-146.[11] 刘锦宏,张玲颖.“十三五”时期我国出版产业科技创新发展路径回溯[J].中国出版,2020(24):11-15. Liu Jinhong, Zhang Lingying. ' 13th Five-Year ' period of China ' s publishing industry science and technology innovation development path backtracking [J].China Publishing, 2020(24):11-15.[12] 郝挺雷,谈国新,高山.区域文化产业科技创新能力评价[J].统计与决策,2020,36(20):172-175. Hao Tinglei, Tan Guoxin, Alpine.Regional cultural industry science and technology innovation ability evaluation [J].Statistics and decision-making, 2020,36(20):172-175.[13] 翁钢民,潘越,杨秀平,等.协同视角下旅游产业与科技创新、现代金融发展格局的时空动态关系[J].经济地理,2020,40(1):214-225. Weng Gangmin, Pan Yue, Yang Xiuping, etc.The spatial and temporal dynamic relationship between tourism industry and technological innovation, modern financial development pattern from the perspective of synergy [J].Economic geography, 2020,40(1):214-225.[14] 刘倩.大数据产业对区域科技创新发展的影响研究[J].科技管理研究,2019,39(2):217-223. Research on the influence of big data industry on regional scientific and technological innovation and development [J].Science and technology management research, 2019,39(2):217-223.[15] 孙璞,尹小平.政府科技补贴能通过企业科技创新改善产能过剩吗?——基于新能源产业与汽车产业对比研究[J].华东经济管理,2016,30(10):101-106. Sun Pu, Yin Xiaoping. Can government technological subsidies improve overcapacity through enterprise technological innovation ? Based on the comparative study of new energy industry and automobile industry [J]. East China Economic Management, 2016,30(10):101-106.[16] 王洪庆,侯毅.中国高技术产业技术创新能力评价研究[J].中国科技论坛,2017(3):58-63. Wang Hongqing, Hou Yi.The evaluation of technological innovation ability of China ' s high-tech industry [J].China Science and Technology Forum, 2017(3):58-63.[17] 杨武,田雪姣.中国高技术产业发展的科技创新驱动效应测度研究[J].管理学报,2018,15(8):1187-1195. Yang Wu, Tian Xuejiao. Measurement of the driving effect of scientific and technological innovation on the development of high-tech industries in China [J]. Management Journal, 2018,15(8):1187-1195.[18] 易明,彭甲超,吴超.基于SFA方法的中国高新技术产业创新效率研究[J].科研管理,2019,40(11):22-31. Yi Ming, Peng Jiachao, Wu Chao.Research on innovation efficiency of China ' s high-tech industry based on SFA method [J].Research management, 2019,40(11):22-31.[19] 方创琳,周成虎,王振波.长江经济带城市群可持续发展战略问题与分级梯度发展重点[J].地理科学进展,2015,34(11):1398-1408. Fang Chuanglin, Zhou Chenghu, Wang Zhenbo. Strategic issues and graded gradient development priorities for sustainable development of urban agglomerations in the Yangtze River Economic Belt [J]. Advances in geographic science, 2015,34(11):1398-1408.[20] 陈明华,仲崇阳,张晓萌,等.长江经济带城市污染排放分布动态及趋势[J].城市问题,2018(11):37-48. Chen Minghua, Zhong Chongyang, Zhang Xiaomeng, etc.The dynamic distribution and trend of urban pollution emissions in the Yangtze River Economic Belt [J].Urban problems, 2018(11):37-48.[21] 吴和成,李犟.中国高技术产业技术创新效率动态演进[J].河海大学学报(哲学社会科学版),2020,22(3):58-65+107. Wu Hecheng, Li Jiang. Dynamic evolution of technological innovation efficiency of China 's high-tech industry [J]. Journal of Hehai University (Philosophy and Social Sciences Edition), 2020,22 (3):58-65+107.[22] 毛炜圣,钟业喜,吴思雨.长江经济带战略性新兴产业创新能力时空演化及空间溢出效应[J].长江流域资源与环境,2020,29(6):1268-1279. Mao Weisheng, Zhong Yexi, Wu Siyu. Spatial-temporal evolution and spatial spillover effect of innovation ability of strategic emerging industries in the Yangtze River Economic Belt [J]. Resources and environment of the Yangtze River Basin, 2020,29(6):1268-1279.[23] 刘亦文,欧阳莹.我国新一代信息技术产业创新效率的时空特征与动态演进[J].湖南大学学报(社会科学版),2020,34(5):52-61. Liu Yiwen, Ou Yangying.The temporal and spatial characteristics and dynamic evolution of the innovation efficiency of the new generation of information technology industry in China [J].Journal of Hunan University (Social Science Edition), 2020,34(5):52-61.[24] 陈明华,张晓萌,刘玉鑫,等.绿色TFP增长的动态演进及趋势预测——基于中国五大城市群的实证研究[J].南开经济研究,2020(1):20-44. Chen Minghua, Zhang Xiaomeng, Liu Yuxin, etc. Dynamic evolution and trend prediction of green TFP growth - Based on empirical research of five major urban agglomerations in China [J]. Nankai Economic Research, 2020(1):20-44.[25] 张发明,钟颖璐,陈美娟,等.基于CW算子的学术期刊组合评价研究[J].中国科技期刊研究,2018,29(6):612-618. Zhang Invention, Zhong Yinglu, Chen Meijuan, etc. Research on the evaluation of academic journal portfolio based on CW operator [J]. Research on Chinese scientific journals, 2018,29(6):612-618.[26] 吕承超,商圆月.高技术产业集聚模式与创新产出的时空效应研究[J].管理科学,2017,30(2):64-79. Lu Chengchao, Shang Yuanyue. Research on the spatial and temporal effects of high-tech industry agglomeration mode and innovation output [J]. Management science, 2017,30(2):64-79.[27] 宛群超,袁凌.空间集聚、企业家精神与区域创新效率[J].软科学,2019,33(8):32-38. Fan Qun Chao, Yuan Ling. Spatial agglomeration, entrepreneurship and regional innovation efficiency [J]. Soft science, 2019,33(8):32-38.[28] 姜骞,代广松,田语嫣.网络联结与要素耦合视角下辽宁省新型创新载体建设的多案例研究[J].科技管理研究,2019,39(22):68-77. Jiang Qian, Dai Guangsong, Tian Yuyan.Multi-case study on the construction of new innovation carriers in Liaoning Province from the perspective of network connection and factor coupling [J].Science and technology management research, 2019,39(22):68-77.[29] 习近平. 在科学家座谈会上的讲话[N]. 人民日报,2020-09-12(2). Xi Jinping. Speech at the Scientist Symposium [N]. People 's Daily, 2020-09-12(2).[30] 罗勇根,杨金玉,陈世强.空气污染、人力资本流动与创新活力——基于个体专利发明的经验证据[J].中国工业经济,2019(10):99-117. Luo Yonggen, Yang Jinyu, Chen Shiqiang. Air pollution, human capital flow and innovation vitality - Empirical evidence based on individual patent invention [J]. China 's industrial economy, 2019(10):99-117.[31] 魏巍,张慧颖.“放管服”视阈下教师感知高校科研管理服务质量的实证研究[J].中国高校科技,2020(8):17-21. Wei Wei, Zhang Huiying. An Empirical Study on Teachers ' Perception of the Quality of Scientific Research Management Service in Colleges and Universities from the Perspective of " Decentralization, Management and Service " [J]. Chinese University Science and Technology, 2020(8):17-21.[32] EVERETT M, ROGERS, et al.Complex adaptive systems and the diffusions of innovations[J].The Innovation Jour-nal:The Public Sector Innovation Journal, 2005,10(3):30. [33] 刘璇,李嘉,陈智高,等.科研创新网络中知识扩散演化机制研究[J].科研管理,2015,36(7):19-27. Liu Xuan, Li Jia, Chen Zhigao, etc. Research on the evolution mechanism of knowledge diffusion in scientific research innovation network [J]. Scientific research management, 2015,36(7):19-27.[34] 董媛媛,卢斌斌.行业产业协同创新中心知识扩散网络演化特征与影响因素研究[J].情报理论与实践,2019,42(11):75-82. Dong Yuanyuan, Lu Binbin. Research on the evolution characteristics and influencing factors of knowledge diffusion network in industrial collaborative innovation center [J]. Information theory and practice, 2019,42(11):75-82.[35] 樊霞,贾建林,孟洋仪.创新生态系统研究领域发展与演化分析[J].管理学报,2018,15(1):151-158. Fan Xia, Jia Jianlin, Meng Yangyi.Development and evolution analysis of innovative ecosystem research [J].Management Journal, 2018,15(1):151-158.[36] 郭亚军.综合评价理论、方法及拓展[M].北京:科学出版社,2012. Guo Yajun. Comprehensive evaluation theory, method and development [M]. Beijing : Science Press, 2012.[37] 张发明,郭亚军,易平涛.序关系分析下的多阶段交互式群体评价方法[J].系统工程学报,2011,26(5):702-709. Zhang Invention, Guo Yajun, and Yi Pingtao. Multi-stage interactive group evaluation method under the order relation analysis [J]. Journal of Systems Engineering, 2011,26(5):702–709.[38] Diakoulaki D, Mavrotas G, Papayannakis L.Determining objective weights in multiple criteria problems: The CRITIC method[J].Computers & Operations Research, 1995, 22 (7) :763-770.[39] 桂俊煜.我国省域高技术产业发展水平评价与提升策略[J].经济纵横,2018(7):83-92. Gui Junyu. Evaluation and promotion strategy of provincial high-tech industry development level in China [J]. Horizontal economy, 2018(7):83-92.[40] QUAH D T,Galton’s fallacy and tests of the convergence hypothesis[J].The scandinavian journal of economics,1993,95(4):427-443.[41] 刘华军,乔列成,孙淑惠.黄河流域用水效率的空间格局及动态演进[J].资源科学,2020,42(1):57-68. Liu Huajun, Qiao Liecheng, Sun Shuhui.The spatial pattern and dynamic evolution of water use efficiency in the Yellow River Basin [J].Resource Science, 2020,42(1):57-68. [42] 陈景华,王素素,陈敏敏.中国服务业FDI分布的区域差异与动态演进:2005~2016[J].数量经济技术经济研究,2019,36(5):118-132. Chen Jinghua, Wang Susu and Chen Minmin. Regional differences and dynamic evolution of FDI distribution in China 's service industry : 2005-2016 [J]. Quantitative economic, technical and economic research, 2019,36(5):118-132[43] Rey S, Montorui B.US regional income convergence: Aspatial econometric perspective[J].Regional Studies, 2007, 41 (S1) :S27-S35.[44] 魏敏,李书昊.新时代中国经济高质量发展水平的测度研究[J].数量经济技术经济研究,2018,35(11):3-20. Wei Min, Li Shuhao.Measurement of China ' s high-quality economic development in the new era [ J ].Quantitative economic technology and economy research, 2018,35(11):3-20.[45] 陈景华,陈姚,陈敏敏.中国经济高质量发展水平、区域差异及分布动态演进[J].数量经济技术经济研究,2020,37(12):108-126. Chen Jinghua, Chen Yao, Chen Minmin.China ' s high-quality economic development level, regional differences and dynamic evolution of distribution [J].Quantitative economic technology and economy research, 2020,37(12):108-126.[46] 单晓红,何强,刘晓燕,杨娟.“政策属性—政策结构”框架下人工智能产业政策区域比较研究[J].情报理论与实践,2021,44(3):194-202. Dan Xiaohong, He Qiang, Liu Xiaoyan and Yang Juan. Regional comparative study of artificial intelligence industrial policy under the framework of policy attribute-policy structure [J].Information theory and practice, 2021,44(3):194-202. |
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