中文    English

Journal of Library and Information Science in Agriculture ›› 2021, Vol. 33 ›› Issue (6): 54-65.doi: 10.13998/j.cnki.issn1002-1248.21-0307

;

• Bibliometrics • Previous Articles     Next Articles

Research on Technology Innovation Cooperation Network in the Middle Reaches of Yangtze River Urban Agglomeration from the Perspective of Gradient Theory

ZOU Fang1, JIANG Lidan2, HUANG Ying3,4,*   

  1. 1. School of public administration of Hunan University, Changsha 410082;
    2. School of economics and management, Beijing University of Posts and Telecommunications, Beijing 100876;
    3. School of information management, Wuhan University, Wuhan 430072;
    4. Science and education management and evaluation center of Wuhan University, Wuhan 430072
  • Received:2020-04-23 Online:2021-06-05 Published:2021-06-15

PDF (PC)

191

Abstract: [Purpose/Significance] Gradient theory reveals the causes and evolutionary trends of the uneven development of networks. As one of the most promising urban agglomerations in China, the middle reaches of Yangtze River urban agglomeration is the most representative national central urban agglomeration, which plays a key role in supporting the construction of central rising strategy. Therefore, it has become an important proposition of increasing concern for researchers and policy makers in the management field to study the technology innovation cooperation network in the middle reaches of Yangtze River urban agglomeration, in order to strengthen the innovation cooperation among cities and accelerate the construction of innovative cities and coordinated regional development. [Method/Process] Based on the perspective of gradient theory, this paper explores the structure and evolution of technology innovation cooperation networks in the middle reaches of Yangtze River urban agglomeration at the level of internal dynamics with the help of two important conditions that need to be met by high-gradient cities, evolving city structure stratification from core-edge structure and city role positioning from structural holes and intermediaries. [Results/Conclusions] It is found that the technology gradient in the middle reaches of Yangtze River urban agglomeration is mainly manifested by the polarization effect, and the technology gap between cities is widened. Due to the small number of high-gradient cities, they have not been able to form a driving scale benefit, and the overall regional technology innovation performance is not strong. This paper can provide useful references for the synergistic development of the middle reaches of Yangtze River urban agglomeration from the aspect of technology innovation cooperation.

Key words: the middle reaches of Yangtze River urban agglomeration, technology innovation cooperation network, gradient theory, core-edge structure, structural holes

CLC Number: 

  • G353.1
[1] FREEMAN C.Networks of innovators: a synthesis of research issues[J]. Research policy, 1991, 20(5): 499-514.
[2] 孙劭方. 高新区创新网络的运行机制研究[J]. 高科技与产业化, 2003(4): 50-52.
SUN S F.Research on the operation mechanism of innovation net-work in high-tech new district[J]. High-technology & commercial-ization, 2003(4): 50-52.
[3] (德)杜能, 吴衡康(译). 孤立国同农业和国民经济的关系[M]. 北京: 商务印书馆, 1997.
(Germany)THUNEN, WU H K(Translate). The relationship of the isolated state with agriculture and the national economy[M]. Beijing: The commercial press, 1997.
[4] 李具恒. 广义梯度理论: 区域经济协调发展的新视角[J]. 社会科学研究, 2004(6): 21-25.
LI J H.The generalized-grader-step theory for coordinative development of regional economy[J]. Social science research, 2004(6): 21-25.
[5] (瑞典)缪尔达尔, 谭力文, 张卫东(译). 亚洲的戏剧——对一些国家贫困问题的研究[M]. 北京: 北京经济学院出版社, 1992.
(Sweden) MYRDAL, TAN L W, ZHANG W D(Translate). Asian drama: An inquiry into the poverty of nations[M]. Beijing: Beijing academy of economics press, 1992.
[6] 李具恒. 区域经济广义梯度理论内在的广义梯度推移机理研究[J]. 西北人口, 2006(6): 53-56.
LI J H.Probing into the mechanism of Generalized-Gradient process in the Generalized-Gradient theory[J]. Northwest population journal, 2006(6): 53-56.
[7] 徐永利. 逆梯度理论下京津冀产业协作研究[J]. 河北大学学报(哲学社会科学版), 2013, 38(5): 73-78.
XU Y L.Industry cooperation in the capital economic circle under the inverse gradient theory[J]. Journal of Hebei university (philosophy and social science), 2013, 38(5): 73-78.
[8] 彭秀丽. 论落后地区的工业化道路与后发优势的发挥[J]. 吉首大学学报(社会科学版), 2006(4): 108-111.
PENG X L.On the path of industrialization and the utilization of potential advantages in the less-develop areas[J]. Journal of Jishou university (social sciences edition), 2006(4): 108-111.
[9] 杨春季, 肖玉琴. 基于反梯度理论的赣州承接珠三角产业转移分析[J]. 企业经济, 2009(6): 118-121.
YANG C J, XIAO Y Q.Analysis of Ganzhou's taking over the industrial transfer from the pearl river delta based on the inverse gradient theory[J]. Enterprise economy, 2009(6): 118-121.
[10] 彭顺昌. 从梯度理论浅析加速技术转移的路径——以厦门为例[J]. 科技管理研究, 2014, 34(7): 85-88.
PENG S C.Study on paths to accelerate the technology transfer from the perspective of grads theory - Taking Xiamen as an example[J]. Science and technology management research, 2014, 34(7): 85-88.
[11] 林聚任. 社会网络分析: 理论、方法与应用[M]. 北京: 北京师范大学出版, 2009.
LIN J R.Social network analysis: Theory, methods and applications[M]. Beijing: Beijing normal university publishing house, 2009.
[12] 周灿, 曾刚, 宓泽锋, 等. 区域创新网络模式研究——以长三角城市群为例[J]. 地理科学进展, 2017, 36(7): 795-805.
ZHOU C, ZENG G, MI Z F, et al.The study of regional innovation network patterns: Evidence from the Yangtze river delta urban agglomeration[J]. Progress in geography, 2017, 36(7): 795-805.
[13] BURT R.The social structure of competition[M]. 1993: 65-103.
[14] GOULD R V, FERNANDEZ R M.Structures of mediation: a formal approach to brokerage in transaction networks[J]. Sociological methodology, 1989, 19: 89-126.
[15] 戴勇, 王诗卉. 创新网络守门人区域比较研究: 以电信领域为例[J]. 科研管理, 2019, 40(7): 106-118.
DAI Y, WANG S H.A comparative study of the area of innovation network gatekeeper: Taking the field of telecommunications as an example[J]. Science research management, 2019, 40(7): 106-118.
[1] WANG Xin, LU Yao, YUAN Xue, ZHAO Wanjing, CHEN Li, LIU Minjuan. A Survey of Author Name Disambiguation Techniques of Academic Papers [J]. Journal of Library and Information Science in Agriculture, 2022, 34(10): 82-90.
[2] XIAO Shiyi, WEN Tingxiao. Reform and Implementation Path of University Evaluation under the Internet Environment [J]. Journal of Library and Information Science in Agriculture, 2022, 34(7): 98-106.
[3] HUANG Yichun. Research on the Development Trend of Crop Breeding in China from the Supply of Innovative Elements [J]. Journal of Library and Information Science in Agriculture, 2022, 34(5): 31-46.
[4] MAO Jin, CHEN Ziyang. A Deep Learning Based Approach to Structural Function Recognition of Scientific Literature Abstracts [J]. Journal of Library and Information Science in Agriculture, 2022, 34(3): 15-27.
[5] CHAI Miaoling, ZOU Yixing, TAN Rongzhi, ZENG Yi, REN Yunyue. Research and Practice on Association of Scientific Data and Scientific Literature Oriented to Knowledge Service of Agricultural Industry [J]. Journal of Library and Information Science in Agriculture, 2022, 34(3): 37-50.
[6] ZHAO Lili, ZHANG Xinmin. Analysis of Research Status and Frontier Hotspots in Soil Microorganism Field [J]. Journal of Library and Information Science in Agriculture, 2022, 34(2): 75-87.
[7] YANG Siluo, TIAN Peilin, ZHU Chuanyu, QIU Junping. Characteristics of UNESCO's Humanities and Social Sciences Research: Topic, Evolution and Cooperation [J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 6-17.
[8] ZHANG Min, CHEN Yunwei. Review on the Theory, Method and Model of Policy Performance Evaluation [J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 30-39.
[9] HOU Jianhua, GENG Bingbing, ZHANG Yang. Academic Origin Structure and Mobility Network of Technological Talent in Chinese Universities [J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 66-80.
[10] WANG Feifei, HAN Wenfei, SU Ziyao, YI Xinyue. Exploring the Academic Exchange among Countries along the "The Belt and Road": Bibliometrics Perspective of Highly Cited Papers [J]. Journal of Library and Information Science in Agriculture, 2021, 33(6): 94-106.
[11] CHAI Jiaqi, CHEN Shiji. Review on Paper Novelty Measurement [J]. Journal of Library and Information Science in Agriculture, 2020, 32(10): 56-61.
[12] GUAN Cuizhong, FAN Aihong, ZHAO Chenggang. Social Network Analysis of Research Collaborations between Departments—— Taking Tsinghua University as an Example [J]. Journal of Library and Information Science in Agriculture, 2020, 32(4): 42-50.
[13] XU Zhaoyuan, TAI Jun, FAN Lihua. A Comparative Analysis of the Research on the Internet of Things Between CHINA-US Based on Bibliometric [J]. Agricultural Library and Information, 2019, 31(3): 35-47.
[14] JIAO Hong, SHAO Zuoyun, ZHOU Na. Empricial Study of the Research Team Discovery Based on 2-Mode Bipartite Graph --Illustrated by the Case of the Research Teams Discovery in PIS Field [J]. Agricultural Library and Information, 2018, 30(12): 47-51.
[15] WANG Qiang, DING Enjun, WU Xinyu. The Research Situation and Countermeasures of Biology in Southwestern University ——Based on the Perspective of Bibliometrics [J]. , 2018, 30(11): 77-81.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!
Editorial Board of Journal of Library and Information Science in Agriculture
Tel：(010)82109667　Fax：(010)82109667　E-mail：xuekan＠caas.cn
Powered by Beijing Magtech Co., Ltd.
知识共享许可协议