郭本海,王鹏辉,崔文海,杨玉香. 考虑关键核心技术发展的我国集成电路产业政策效力研究[J]. 科技进步与对策, 2023, 40(3): 41-51.
Guo Benhai,Wang Penghui,Cui Wenhai,Yang Yuxiang. The Policy Effectiveness of China's Integrated Circuit Industry Considering the Development of Key and Core Technologies. SCIENCE & TECHNOLOGY PROGRESS AND POLICY, 2023, 40(3): 41-51.
[1] 汤志伟,李昱璇,张龙鹏.中美贸易摩擦背景下“卡脖子”技术识别方法与突破路径——以电子信息产业为例[J].科技进步与对策,2021,38(1):1-9. [2] 陈劲,阳镇,朱子钦.“十四五”时期“卡脖子”技术的破解:识别框架、战略转向与突破路径[J].改革,2020,36(12):5-15. [3] 陈峰.论国家关键核心技术竞争情报[J].情报杂志,2019,38(11):1-5. [4] 胡旭博,原长弘.关键核心技术:概念、特征与突破因素[J].科学学研究,2022,40(1):4-11. [5] ZHANG Y,QIAN Y, HUANG Y,et al.An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation[J].Scientometrics,2017,111(3): 1925-1946. [6] WANG C,GENG H J,SUN R,et al.Technological potential analysis and vacant technology forecasting in the graphene field based on the patent data mining[J]. Resources Policy, 2022, 77:102636. [7] JIA W F,XIE Y P,ZHAO Y N,et al.Research on disruptive technology recognition of China's electronic information and communication industry based on patent influence[J]. Journal of Global Information Management (JGIM),2021,29(2):148-165. [8] CHOI H, WOO J R. Investigating emerging hydrogen technology topics and comparing national level technological focus:patent analysis using a structural topic model[J].Applied Energy,2022,39:1300-1307. [9] MANUEL M S, MEDO M, LAFOND F,et al. Early identification of important patents: design and validation of citation network metrics[J]. Technological Forecasting & Social Change,2019,146: 644-654. [10] HUMMON N P, DEREIAN H P. Connectivity in a citation network:the development of DNA theory[J].Social Networks,1989,11(1):39-63. [11] 孙冰,徐晓菲,苏晓.技术扩散主路径及核心企业的识别研究——以手机芯片专利引文网络为例[J].情报学报,2019,38(2):201-208. [12] YU D J, PAN T X. Identifying technological development trajectories in blockchain domain: a patent citation network analysis[J]. Technology Analysis & Strategic Management, 2021, 33(12) : 1484-1497. [13] WANG L L, JIANG S, ZHANG S Y. Mapping technological trajectories and exploring knowledge sources: a case study of 3D printing technologies[J]. Technological Forecasting & Social Change, 2020, 161:120251. [14] 张树满,原长弘.制造业领军企业如何培育关键核心技术持续创新能力[J].科研管理,2022,43(4):103-110. [15] 彭纪生,仲为国,孙文祥.政策测量、政策协同演变与经济绩效:基于创新政策的实证研究[J].管理世界,2008,24(9):25-36. [16] YIN T, PROPRIS LISA DE,JABBOUR LIZA, et al. Assessing the effects of policies on China’s outward foreign direct investment[J]. International Business Review, 2021, 30(5):101818. [17] CHE X J, ZHOU P, CHAI K H,et al. Regional policy effect on photovoltaic (PV) technology innovation: findings from 260 cities in China[J]. Energy Policy,2022,162:112807. [18] YANG T, XING C,LI X Y,et al. Evaluation and analysis of new-energy vehicle industry policies in the context of technical innovation in China[J].Journal of Cleaner Production,2020,281(4):125-126. [19] 戚湧,张锋.基于内容分析的战略性新兴产业政策评价研究[J].科技进步与对策,2020,37(17):118-125. [20] DONG C G,ZHOU R M,LI J Y,et al. Rushing for subsidies: the impact of feed-in tariffs on solar photovoltaic capacity development in China[J]. Applied Energy, 2021, 281: 116007. [21] 陈玥卓.税收优惠影响企业创新产出的多元机制研究——来自中国软件与集成电路产业的证据[J].科技进步与对策,2020,37(18):123-132. [22] 郭本海,陆文茜,王涵,等.基于关键技术链的新能源汽车产业政策分解及政策效力测度[J].中国人口·资源与环境,2019,29(8):76-86. [23] JOSHI B V, VIPIN B, RAMKUMAR JANAKARAJAN, et al. Impact of policy instruments on lead-acid battery recycling: a system dynamics approach[J]. Resources, Conservation & Recycling, 2021, 169:105528. [24] CHANG S H. Patent analysis of the critical technology network of semiconductor optical amplifiers[J]. Applied Sciences, 2020, 10(4):1-11. [25] ZHMUD V, LIAPIDEVSKIY A, AVRMACHUK V,et al. Critical technologies in the cluster of virtual and augmented reality[J]. IOP Conference Series: Materials Science and Engineering, 2021, 1019 : 012065. [26] 张治河,苗欣苑.“卡脖子”关键核心技术的甄选机制研究[J].陕西师范大学学报(哲学社会科学版),2020,49(6):5-15. [27] 张慧明,赫连志巍,孟庆洪,等.转型导向的制造企业技术能力评价[J].中国科技论坛,2021,37(7):125-136. [28] 李文静,彭红星.中国上市公司技术创新投入的境况与思考——兼论企业创新主体地位提升[J].数量经济技术经济研究,2022,39(6):100-119. [29] 刘际陆,张诚.中国半导体产业技术创新效率研究——基于三阶段DEA和Tobit模型[J].技术经济与管理研究,2021,42(10):14-19. [30] 范旭,黄业展.企业研发管理对R&D投入与企业绩效关系的调节效应——对广东省科技型中小微企业的分析[J].科技进步与对策,2018,35(9):66-73. [31] LAN F, WANG W, CAO Q Z, Aet al. Tax cuts and enterprises' R&D intensity: evidence from a natural experiment in China[J].Economic Modelling,2020,89:304-314. [32] 喻登科,黄悦悦.中国省域高质量发展水平评价[J].创新科技,2022,22(4):21-30. [33] 叶京,冷伏海.韩国技术水平评估方法分析及启示[J].科技管理研究,2021,41(6):55-62. [34] ACOSTA M, CORONADO D, FERNDIZ E, et al. Effects of knowledge spillovers between competitors on patent quality: what patent citations reveal about a global duopoly[J]. The Journal of Technology Transfer, 2021,47: 1451-1487. [35] TIMO F, JAN L. Testing patent value indicators on directly observed patent value:an empirical analysis of Ocean Tomo patent auctions[J]. Research Policy, 2014, 43(3) : 519-529. [36] HIGHAM K, RASSENFOSSEB G, JAFFE ADAM B, et al. Patent quality: towards a systematic framework for analysis and measurement[J]. Research Policy, 2021, 50(4):104215. [37] WU Y W, JI Y J, GU F, et al. A collaborative evaluation method of the quality of patent scientific and technological resources[J]. World Patent Information, 2021, 67:102074. [38] 何源,乐为,郭本海.“政策领域-时间维度”双重视角下新能源汽车产业政策央地协同研究[J].中国管理科学,2021,29(5):117-128.