|
|
Research on China's New Generation Artificial Intelligence Industry Development Policy and Governance System Modernization |
Jia Yiwei1, Qi Yong1,2, Sun Minghan1 |
1. School of Intellectual Property,Nanjing University of Science and Technology,Nanjing 210094,China; 2. School of Economics and Management,Nanjing University of Science and Technology,Nanjing 210094,China |
|
|
Abstract The development of a new generation of AI industry has become a new driving force leading a new round of scientific and technological revolution and industrial transformation in China.The article select 1085 central and local AI industrial policies in China,use social network analysis,content analysis,text mining and other methods to compare and study the general situation and change trend of industrial specific and macro policies.It is found that the policy strength of China's AI industry continues to increase,and the policy effectiveness is significantly improved.The local industrial policies are characterized by regional differentiation,and the special policies of many provinces and cities in the northwest are still blank.Local policies are highly diverse and innovative,and the participation of non-governmental sectors such as business groups and social organizations is increasing.The coordination of industrial policy subjects is insufficient,and the combination between central and local governments needs to be broken through.Standards and intellectual property have become important industrial policy tools,and the structure of industrial policy tools needs to be adjusted.Transportation,medical care,business and trade will become the direction of future policy formulation.Finally,the article puts forward a governance system framework of AI industry under policy embedding and corresponding enlightenment.
|
Received: 30 December 2022
|
|
|
|
|
[1]敦帅,陈强,贾婷,等.新形势下科技创新治理体系现代化的理论体系构建研究[J].科学学与科学技术管理,2022,43 (3):24-43. [2]张铤.人工智能嵌入社会治理的逻辑、风险与政策应对[J].浙江社会科学,2022 (2):70-74,157. [3]雷恩·卡罗,郑志峰.人工智能政策:入门与路线图[J].求是学刊,2019,46 (2):25-44. [4]DWIVEDI Y K,HUGHES L,ISMAGILOVA E,et al.Artificial intelligence (AI):multidisciplinary perspectives on emerging challenges,opportunities,and agenda for research,practice and policy[J].International journal of information management,2021,57 (4):101994. [5]毛子骏,梅宏.政策工具视角下的国内外人工智能政策比较分析[J].情报杂志,2020,39 (4):74-81,59. [6]吕文晶,陈劲,刘进.政策工具视角的中国人工智能产业政策量化分析[J].科学学研究,2019,37 (10):1765-1774. [7]单晓红,何强,刘晓燕,等. “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. [8]郑烨,任牡丹,FOUNTAIN J E.基于文献计量的中外人工智能政策研究现状及启示[J].情报杂志,2021,40 (1):48-55. [9]薛澜,张帆,武沐瑶.国家治理体系与治理能力研究:回顾与前瞻[J].公共管理学报,2015,12 (3):1-12,155. [10]徐鹏杰,王宁,杨乐晴.要素市场化配置、政府治理现代化与产业转型升级[J].经济体制改革,2020 (5):86-92. [11]李建伟,王伟进.社会治理的演变规律与我国社会治理现代化[J].管理世界,2022,38 (9):1-15,62. [12]江维国,胡敏,李立清.数字化技术促进乡村治理体系现代化建设研究[J].电子政务,2021 (7):72-79. [13]安小米,王丽丽.大数据治理体系构建方法论框架研究[J].图书情报工作,2019,63 (24):43-51. [14]蒋凯,王涛利.高等教育治理体系与治理能力现代化的关键问题和推进路径[J].厦门大学学报 (哲学社会科学版),2021 (1):105-114. [15]薛澜,赵静.走向敏捷治理:新兴产业发展与监管模式探究[J].中国行政管理,2019 (8):28-34. [16]孙丽文,李少帅.人工智能技术产业化创新生态系统风险归因及治理体系研究[J].科技进步与对策,2021,38 (17):69-78. [17]柳鸣毅,丁煌,张毅恒,等.我国运动休闲特色小镇产业演化机制、运作体系与治理路径[J].天津体育学院学报,2019,34 (2):144-149. [18]解学芳,臧志彭.网络文化产业动态演化机理与新治理体系构建[J].东南学术,2015 (4):115-123,248. [19]ZHANG Q,SUN X,ZHANG M.Datamatters:a strategic action framework for data governance[J].Information & management,2022,59 (4):103642. [20]KANG H,ROGGIO A M,LUNA-REYES L F.Governance of local food systems:current research and future directions[J].Journal of cleaner production,2022,388 (3):130626. [21]DEBBARMA J,CHOI Y.A taxonomy of green governance:a qualitative and quantitative analysis towards sustainable development[J].Sustainable cities and society,2022,79 (4):103693. [22]MOLINERO X,RIQUELME F.Influence decision models:from cooperative game theory to social network analysis[J].Computer science review,2021,39 (2):100343. [23]代欣玲,彭小兵,王京雷.中国情境下创新人才培养政策的文献计量分析[J].科研管理,2022,43 (3):27-36. [24]赖胜强,唐雪梅.政府网络舆情回应策略的内容分析[J].现代情报,2018,38 (10):108-114. [25]高胜楠,吕文婷,吴建华,等.质性研究方法在档案学领域的应用分析与启示[J].情报科学,2022,40 (07):85-92. [26]任嵘嵘,杨帮兴,郑念,等.中国科普人才政策25年以来的演变、趋势与展望[J].中国科技论坛,2020 (4):139-150. [27]贾怡炜,戚湧,武兰芬.专利视角下人工智能与车联网技术融合演化研究[J].科技进步与对策,2022,39 (22):20-29. [28]刘鑫,汪典典.整合与转型:改革开放以来的知识产权公共政策演进研究[J].中国软科学,2021 (10):9-20. [29]张涛,马海群.一种基于LDA主题模型的政策文本聚类方法研究[J].数据分析与知识发现,2018,2 (9):59-65. [30]吴宾,张丽霞. “政策扩散异化”何以发生——以A区共有产权住房政策过程为例[J].公共管理学报,2022,19 (2):49-59,168. [31]杨志军.模糊性条件下政策过程决策模型如何更好解释中国经验:基于 “源流要素+中介变量”检验的多源流模型优化研究[J].公共管理学报,2018,15 (4):39-51,151. [32]ROTHWELL R,ZEGVELD W.An assessment of government innovation policies[J].Review of policy research,1984,3 (3/4):436-444. [33]赵静,薛澜.探究政策机制的类型匹配与运用[J].中国社会科学,2021,310 (10):39-60,205. |
|
|
|