Dual Network Relationship and Evolution Characteristics of Key Common Technology Research and Development
Shi Jincheng1, Wang Jing2, Zhu Ling3, Li Tuoyu3, Zhu Jianzhong4
1. Shanghai Artificial Intelligence Laboratory, Shanghai 200232, China; 2. School of Public Affairs, Zhejiang University, Hangzhou 310058, China; 3. Institute of China's Science, Technology and Education Policy, Zhejiang University, Hangzhou 310058, China; 4. Zhejiang University Holding Group, Hangzhou 310007, China
Abstract：Under the situation of science and technology competition, the breakthrough of key common technology is of great significance to realize the self-reliance of high-level science and technology.This paper uses patent technology network analysis method, through constructing the inter-organizational cooperation network and technology network integrated analysis framework, selects two typical technologies named as “aircraft engine parts of hot end temperature protective coating”and “3D printing metal powder preparation and application”, to explore the evolution characteristics of key common technology networks.The results show the followings.①The core actors represented by leading enterprises, high-level research universities and top scientific research institutes cooperate with other innovation actors to integrate resources and tackle key common technologies;②Multiple actors such as universities, enterprises and research institutes form a complex multilateral network connect closely;③The key common technology network presents a “core-edge”structure, and related technologies are interrelated around the core technology nodes, forming multiple technology clusters;④With the continuous evolution of the network, the diffusion and spillover effects among the key common technologies are enhanced, which have a significant externality.The results provide implications for the distribution and management of key common technologies in China.
施锦诚, 王靖, 朱凌, 李拓宇, 朱建忠. 关键共性技术研发的双重网络关系及其演化特征[J]. 中国科技论坛, 2023(4): 53-62.
Shi Jincheng, Wang Jing, Zhu Ling, Li Tuoyu, Zhu Jianzhong. Dual Network Relationship and Evolution Characteristics of Key Common Technology Research and Development. , 2023(4): 53-62.
[1]中华人民共和国工业和信息化部. 《产业关键共性技术发展指南 (2017年)》[EB/OL]. (2017-10-30)[2022-05-06].https://www.miit.gov.cn/zwgk/zcwj/wjfb/zh/art/2020/art_ea0c261a60564111a11ecabecf60030a.html. [2]孙福全,李纪珍,顾淑林,等.如何促进我国产业共性技术的研发[J].中国科技论坛,2006 (5):3-7. [3]LI N,CHEN K,KOU M.Technology foresight in China:academic studies,governmental practices and policy applications[J].Technological forecasting and social change,2017,119:246-255. [4]孙明霞.以关键共性技术,突破制造业 “卡脖子”困境[N/OL].[2019-06-12][2022-05-06].http://paper.dzwww.com/dzrb/content/20190612/Articel14002MT.htm. [5]马永红,杨晓萌,孔令凯,等.基于产业异质性的关键共性技术合作网络研究[J].科学学研究,2021,39 (6):1036-1049. [6]刘艳秋,韩俊敏,王建国,等.人工智能专利技术分布、演化及合作创新网络分析[J].中国科技论坛,2021,299 (3):64-74. [7]LIU H,MO Y.Study on the relationship between enterprise cooperative R&D and government fund positioning based on the industrial generic technology R&D[J].Journal of applied sciences,2013,13 (24):5814-5819. [8]RAITERI E.A time to nourish?Evaluating the impact of public procurement on technological generality through patent data[J].Research policy,2018,47 (5):936-952. [9]刘颖琦,周菲,席锐.后疫情时期中国智能网联汽车产业技术研究与合作网络:国际专利视角[J].中国科技论坛,2021,301 (5):32-45,66. [10]CAPPONI G,CORROCHER N.Patterns of collaboration in health:a network analysis[J].Technological forecasting and social change,2022,175:121366. [11]马永红,杨晓萌,孔令凯.关键共性技术合作网络演化机制研究——以医药产业为例[J].科技进步与对策,2021,38 (8):60-69. [12]陈文婕,曾德明,邹思明.全球低碳汽车技术合作创新网络演化路径研究[J].科研管理,2016,37 (8):28-36. [13]张鹏,杨艳君,宋丽雪.GPS产业的共性技术识别、演进及其启示:基于专利分析[J].技术经济,2016,35 (12):60-75,89. [14]杨武,陈培,GAD D.专利引证视角下技术轨道演化与技术锁定识别——以光刻技术为例[J].科学学研究,2022,40 (2):209-219. [15]王海龙,和法清,丁堃.基于社会网络分析的专利基础技术识别——以半导体产业为例[J].情报杂志,2017,36 (4):78-84. [16]LIU L,BAI X,JIANG Z.The generic technology identification of saline——Alkali land management and improvement based on social network analysis[J].Cluster computing,2018,22 (S6):13167-13176. [17]栾春娟.战略性新兴产业共性技术测度指标研究[J].科学学与科学技术管理,2012,33 (2):11-16. [18]张昕,姜马.基于专利技术共现网络的产业共性技术遴选研究——以我国生物产业为例[J].中国科技论坛,2015,225 (1):73-77. [19]KORZINOV V,SAVIN I.General purpose technologies as an emergent property[J].Technological forecasting and social change,2018,129:88-104. [20]李纪珍.共性技术供给与扩散的模式选择[J].科学学与科学技术管理,2011,32 (10):5-12. [21]刘凤朝,马荣康,姜楠.基于 “985高校”的产学研专利合作网络演化路径研究[J].中国软科学,2011 (7):178-192. [22]刘晓燕,李金鹏,单晓红,等.动态视角下集成电路产业创新网络演化特征分析[J].中国科技论坛,2019,283 (11):48-55. [23]CHOI S,KIM H,YOON J,et al.An SAO-based text-mining approach for technology road mapping using patent information[J].R&D management,2013,43 (1):52-74. [24]YOON B,PARK Y.A text-mining-based patent network:analytical tool for high-technology trend[J].The journal of high technology management research,2004,15 (1):37-50. [25]JEE S J,SOHN S Y.Patent network based conjoint analysis for wearable device[J].Technological forecasting and social change,2015,101:338-346. [26]高霞,陈凯华.基于SIPO专利的产学研合作模式及其合作网络结构演化研究——以ICT产业为例[J].科学学与科学技术管理,2016,37 (11):34-43. [27]刘凤朝,马荣康,孙玉涛.基于专利技术共现网络的纳米技术演化路径研究[J].科学学研究,2012,30 (10):1500-1508. [28]翟东升,张京先.基于专利技术共现网络的无人驾驶汽车技术融合演化研究[J].情报杂志,2020,39 (4):60-66,19.
2023, 
