中文    English

Agricultural Library and Information ›› 2019, Vol. 31 ›› Issue (8): 21-30.doi: 10.13998/j.cnki.issn1002-1248.2019.08.19-0770

• Research paper • Previous Articles     Next Articles

Research on Collaborative Innovation of Beijing-Tianjin-Hebei Science and Technology from the Perspective of Papers Cooperation

YANG Yang, LI Hongxu, YIN Songyi   

  1. School of Management Engineering and Business, Hebei University of Engineering, Hebei Handan 056038, China
  • Revised:2019-07-28 Online:2019-08-05 Published:2019-10-12

Abstract: In order to further explore the collaborative innovation of science and technology of the Beijing-Tianjin-Hebei, the bibliometrics, the Mann-Kendall trend test and the important point method are respectively used to study the cooperative characteristic of the Beijing-Tianjin-Hebei, including the number, density, influence and cooperation mode of the cooperative papers, based on the Beijing-Tianjin-Hebei cooperation paper data during 1979-2018 at the Web of Science information platform. The research results show that the Beijing-Tianjin-Hebei cooperation papers are mainly based on Beijing-Tianjin and Tianjin-Hebei from the perspective of the number of cooperative papers, showing significant polarization and stage characteristics. From the perspective of the density of cooperation papers, cooperative papers of Beijing are an important way of Tianjin and Hebei to publish papers, but publishing papers in cooperation with Tianjin and Hebei is only a very small part of Beijing. From the perspective of the impact of cooperative papers, the number of cited papers and impact factors of Beijing-Tianjin cooperation papers are higher than Beijing-Hebei and Tianjin-Hebei cooperation papers. From the perspective of cooperative papers, Beijing and Tianjin has a higher proportion of first author in cooperation papers than Hebei. According to the research results, the following conclusions can be drawn: the Beijing-Tianjin-Hebei science and technology collaborative innovation has achieved certain results, but it is still necessary to optimize the Beijing-Tianjin-Hebei science and technology collaborative innovation network. The full play is given to the driving role of Beijing and Tianjin in the development of science and technology innovation. The core competition force of Hebei in scientific and technological collaborative innovation should be gradually enhanced.

Key words: Beijing-Tianjin-Hebei, collaborative innovation in science and technology, cooperation on papers, Mann-Kendall trend test, important point method

CLC Number: 

  • TP301.6
[1] 毕娟. 京津冀科技协同创新影响因素研究[J]. 科技进步与对策, 2016, 33(08): 49-54.
[2] 程翔, 鲍新中. 科技金融政策效率研究——以京津冀地区为例[J]. 北京联合大学学报(人文社会科学版), 2018, 16(03): 116-124.
[3] 席增雷, 袁青川, 徐伟. 基于Malmquist-TFP模型的京津冀地区科技创新经济效率评价[J]. 宏观经济研究, 2018(07): 132-140.
[4] 蔺鹏, 孟娜娜, 马丽斌, 等. 区域金融创新与科技创新的耦合机理和联动效果评估——基于京津冀协同创新共同体的研究[J]. 南方金融, 2019(01): 58-68.
[5] 梅长春, 丛继坤, 金善女. 京津冀创新合作特征及效率研究——基于专利及论文数据的分析[J]. 河北工业大学学报(社会科学版), 2019, 11(2): 8-15.
[6] 李国平. 京津冀地区科技创新一体化发展政策研究[J]. 经济与管理, 2014, 28(06): 13-18.
[7] 陈诗波, 王书华, 冶小梅, 等. 京津冀城市群科技协同创新研究[J]. 中国科技论坛, 2015(07): 63-68.
[8] 郭斌. 京津冀都市圈科技协同创新的机制设计——基于日韩经验的借鉴[J]. 科学学与科学技术管理, 2016, 37(09): 37-48.
[9] 苑秀娥, 王佳伟, 刘浩. 基于三螺旋模型的京津冀科技协同创新研究[J]. 经济研究参考, 2016(40): 45-47.
[10] 陈敬明, 李志红, 席增雷, 等. 京津冀地区科技创新激励政策比较与建议[J]. 宏观经济管理, 2017(12): 69-75.
[11] 岳瑞波. 京津冀协同背景下科技创新的金融支持政策研究[J]. 宏观经济管理, 2018(04): 64-71.
[12] 许爱萍. 京津冀科技创新协同发展战略研究[J]. 技术经济与管理研究, 2014(10): 119-123.
[13] 许子媛. 京津冀科技创新信息资源协同共享模式研究[J]. 图书馆工作与研究, 2017(01): 65-70.
[14] 刘宾, 董谦, 辛文玉. 京津冀科技协同创新共同体的构建及模式分析[J]. 商业经济研究, 2016(16): 127-129.
[15] 张冬玲, 王贤文, 侯剑华. 中国城市间高水平科学论文合作网络的分析[J]. 中国科技论坛, 2008(09): 102-106.
[16] 王弓, 赵新力. 从SCI合著论文看海峡两岸科技合作[J]. 中国软科学, 2007(08): 56-64.
[17] 石小华, 陈寿. 浅谈高校第一作者和通讯作者WOS核心合集论文的筛选[J]. 农业图书情报学刊, 2018, 30(11): 90-93.
[18] 汪攀,刘毅敏. Sen’s斜率估计与Mann-Kendall法在设备运行趋势分析中的应用[J]. 武汉科技大学学报, 2014, 37(06): 454-457, 472.
[19] Li Y F. Analysis and Forecast of Global Civil Aviation Accidents for the Period1942-2016[J]. Mathematical Problems in Engineering, 2019, https://doi.org/10.1155/ 2019/5710984.
[20] Kim D.H., Lee B.K., Sohn S.Y.Quantifying technology- industry spillover effects based on patent citation network analysis of unmanned aerial vehicle (UAV)[J]. Technological Forecasting & Social Change, 2016, 105: 140-157.
[21] 程燕, 潘兴良. 西部大开发农民收入增长趋势分析——基于Mann-Kendall非参数检验模型[J]. 农业技术经济, 2012(05): 97-103.
[22] 赵小峰, 陈宗兴, 霍学喜. 新型城镇化战略下我国农民收入增长问题研究[J]. 统计与决策, 2015(17): 132-135.
[23] Chung F.L., Fu T.C., Luk R., Ng V.Flexible time series pattern matching based on perceptually important points[C]. International Joint Conference on Artificial Intelligence Workshop on Learning from Temporal and Spatial Data, 2001: 1-7.
[24] 杜建, 张玢, 唐小利. 基于作者引用与合作关系的学术影响力测度研究进展[J]. 图书情报工作, 2013, 57(08): 135-140.
[25] 贾贤, 王霞, 李忠富, 等. 科技论文中等同贡献作者和共同通讯作者的署名问题[J]. 中国科技期刊研究, 2012, 23(4): 603-605.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!