Evolutionary characteristics of science and technology cooperation network of Beijing-Tianjin-Hebei region and its influencing factors

被引：0
|
作者：
Xi Q. [1 ]
Li G. [2 ]
Sun Y. [3 ]
Lyu S. [2 ]
机构：
[1] School of Applied Economics, Renmin University of China, Beijing
[2] School of Government, Peking University, Beijing
[3] School of Urban Economics and Public Ministration, Capital University of Economics and Business, Beijing
来源：
Dili Xuebao/Acta Geographica Sinica | 2022年 / 77卷 / 06期
基金：
中国国家自然科学基金;
关键词：
Beijing-Tianjin-Hebei region; Paper cooperation; Patent cooperation; Semiparametric estimation; Social network analysis;
D O I：
10.11821/dlxb202206005
中图分类号：
学科分类号：
摘要：
Building a hierarchical and reasonable structured science and technology cooperation network plays a very important role in promoting collaborative innovation in Beijing-Tianjin-Hebei region (BTH). This paper analyzes the evolutionary characteristics of the science and technology cooperation network between cities in the BTH during 2013-2018 from two perspectives: the research cooperation network based on knowledge innovation and the technology cooperation network based on technology innovation. This paper uses micro data of collaborative papers and collaborative patents and applies social network analysis to examine the evolutionary characteristics of the science and technology cooperation network between cities in the BTH from 2013-2018, and empirically tests the influence of 78 pairs of city in the study area on the science and technology cooperation based on panel econometric model factors. The main conclusions can be drawn as follows. First of all, the rapid growth of the research cooperation network of the BTH presents a spatial structure characterized as the twin cores of Beijing and Tianjin, with Beijing-Tianjin as the main axis and Beijing-Baoding-Shijiazhuang as the secondary axis. Second, the BTH gradually formed a technical cooperation network structure with Beijing as the main center, Tianjin and Shijiazhuang as secondary centers, Langfang, Baoding and Cangzhou as tertiary hubs, and other cities as nodes. Finally, small distance plays a positive role in science and technology cooperation between cities, and the compression of spatial and temporal distance brought by the operation of high-speed rail can weaken the spatial attenuation coefficient of science and technology cooperation. Compared with research cooperation, technical cooperation is more sensitive to spatial distance. Technological proximity is the main driving factor for promoting science and technology cooperation between cities, especially the promoting effect on technological cooperation is more obvious. The smaller the gap of economic development, the easier it is to generate science and technology cooperation cooperation between cities. © 2022, Science Press. All right reserved.
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页码：1359 / 1373
页数：14
相关论文
共 29 条
  • [1] Si Yuefang, Zeng Gang, Cao Xianzhong, Et al., Research progress of glocal innovation networks, Progress in Geography, 35, 5, pp. 600-609, (2016)
  • [2] Zou Lin, Research on evolution of regional knowledge networks: Evidence from equipment manufacturing industry of Yangtze Economic Zone, China, (2018)
  • [3] Lv Lachang, Liang Zhengji, Huang Ru, The innovation linkage among Chinese major cities, Scientia Geographica Sinica, 35, 1, pp. 30-37, (2015)
  • [4] Duan Dezhong, Du Debin, Chen Ying, Et al., Technology transfer in China's city system: Process, pattern and influencing factors, Acta Geographica Sinica, 73, 4, pp. 738-754, (2018)
  • [5] Zhou Can, Zeng Gang, Mi Zefeng, Et al., The study of regional innovation network patterns: Evidence from the Yangtze River Delta urban agglomeration, Progress in Geography, 36, 7, pp. 795-805, (2017)
  • [6] Li Y C, Phelps N A., Knowledge polycentricity and the evolving Yangtze River Delta megalopolis, Regional Studies, 51, 7, pp. 1035-1047, (2017)
  • [7] Cao Z, Derudder B, Peng Z W., Comparing the physical, functional and knowledge integration of the Yangtze River Delta City-region through the lens of inter-city networks, Cities, 82, pp. 119-126, (2018)
  • [8] Ma Haitao, Huang Xiaodong, Li Yingcheng, The evolution and mechanisms of megalopolitan knowledge polycentricity of Guangdong-Hong Kong-Macao Greater Bay Area, Acta Geographica Sinica, 73, 12, pp. 2297-2314, (2018)
  • [9] Sheng Yanwen, Gou Qian, Song Jinping, Innovation linkage network structure and innovation efficiency in urban agglomeration: A case of the Beijing-Tianjin-Hebei, the Yangtze River Delta and the Pearl River Delta, Scientia Geographica Sinica, 40, 11, pp. 1831-1839, (2020)
  • [10] Li Guoping, Integrated technological innovation in Beijing-Tianjin-Hebei region and pilot role of Xiongan New District, Exploration of Financial Theory, 4, pp. 8-11, (2018)
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