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LI Erling, YAO Fei, XI Jiaxin, GUO Chunyang. Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case[J]. Chinese Geographical Science, 2018, 28(1): 137-152. doi: 10.1007/s11769-017-0924-4
Citation: LI Erling, YAO Fei, XI Jiaxin, GUO Chunyang. Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case[J]. Chinese Geographical Science, 2018, 28(1): 137-152. doi: 10.1007/s11769-017-0924-4
shu

Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case

doi: 10.1007/s11769-017-0924-4
  • 1.

    Key Research Institute of Yellow River Civilization and Sustainable Development/Henan Collaborative Innovation Center for the Yellow River Civilization Heritage and Modern Civilization Construction/College of Environment and Planning, Henan University, Kaifeng 475001, China;

  • 2.

    Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan Province, Kaifeng 475004, China;

  • 3.

    Gemmological Institute, China University of Geosciences(Wuhan), Wuhan 430074, China

Funds:  Under the auspices of National Natural Science Foundation of China (No. 41471105, 41430637, 41701197), Program for Innovative Research Team (in Science and Technology) in University of Henan Province (No. 16IRTSTHN012), Key Project of the Humanities and Social Sciences Research Base in Ministry of Education (No. 15JJDZONGHE008), China Postdoctoral Science Foundation (No. 2013M531667, 2014T70672)
More Information
  • Corresponding author: LI Erling
  • Received Date: 2017-03-10
  • Rev Recd Date: 2017-07-07
  • Publish Date: 2018-02-27
  • Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985-2014, based on the triple helix theory, with the in-fluence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.
  • [1] Baige-Gil A, 2010. Cooperation-based innovators and peripheral cooperators:an empirical analysis of their characteristics and behavior. Technovation, 30(3):195-206. doi:10.1016/j. technovation.2009.11.004
    [2] Borgatti S P, Everett M G, Freeman L C, 2002. Ucinet for Win-dows:Software for Social Network Analysis. Harvard, MA:Analytic Technologies.
    [3] Boschma R, 2005. Proximity and innovation:a critical assessment. Regional Studies, 39(1):61-74. doi:10.1080/003434005 2000320887
    [4] Boschma R, Frenken K, 2010. The spatial evolution of innovation networks:a proximity perspective. In:Boschma R A, Martin R (eds). Evolutionary Economic Geography. Cheltenham:Edward Elgar.
    [5] Bosch-Sijtsema P M, Postma T J B M, 2009. Cooperative innova-tion projects:capabilities and governance mechanisms. Journal of Product Innovation Management, 26(1):58-70. doi: 10.1111/j.1540-5885.2009.00334.x
    [6] Broekel T, Boschma R, 2012. Knowledge networks in the Dutch aviation industry:the proximity paradox. Journal of Economic Geography, 12(2):409-433. doi: 10.1093/jeg/lbr010
    [7] Broström A, 2011. The Triple Helix:University-industry-gov-ernment innovation in action-By Henry Etzkowitz. Papers in Regional Science, 90(2):441-442. doi:10.1111/j.1435-5957. 2011.00357.x
    [8] Chen Hongxi, 2009. Study on the mode and mechanism of the cooperation of government, industry, and university and re-search institute based on the triple helix theory. Science & Technology Progress and Policy, 26(24):6-8. (in Chinese)
    [9] Cohen W M, Klepper S, 1992. The tradeoff between firm size and diversity in the pursuit of technological progress. Small Busi-ness Economics, 4(1):1-14. doi: 10.1007/BF00402211
    [10] Etzkowitz H, 2008. The Triple Helix:University-Industry-Gov-ernment Innovation in Action. London:Routledge, 2008.
    [11] Farinha L, Ferreira J, Gouveia B, 2016. Networks of innovation and competitiveness:a triple helix case study. Journal of the Knowledge Economy, 7(1):259-275. doi: 10.1007/s13132-014-0218-3
    [12] Balland P A, Boschma R, Frenken K, 2015. Proximity and inno-vation:from statics to dynamics. Regional Studies, 49(6):907-920. doi: 10.1080/00343404.2014.883598
    [13] Park H W, Hong H D, Leydesdorff L, 2005. A comparison of the knowledge-based innovation systems in the economies of South Korea and the Netherlands using Triple Helix indicators. Scientometrics, 65(1):3-27. doi: 10.1007/s11192-005-0257-4
    [14] Hong Jin, Yu Wentao, Guo Xiumei et al., 2014. Creative industries agglomeration, regional innovation and productivity growth in china. Chinese Geographical Science, 24(2):258-268. doi: 10.1007/s11769-013-0617-6
    [15] Li Erling, Li Xiaojian, Liu Zhigao, 2011. Relationships and evolving networks of rural manufacturing clusters:a case study in Yucheng County, Henan Province of China. Chinese Geo-graphical Science, 21(3):364-376. doi: 10.1007/s11769-011-0449-1
    [16] Li Dandan, Wang Tao, Wei Yehua et al., 2015. Spatial and temporal complexity of scientific knowledge networkand technological knowledge network on China's urban scale. Geographical Research, 34(3):525-540. (in Chinese)
    [17] Liefner I, Hennemann S, 2011. Structural holes and new dimen-sions of distance:the spatial configuration of the scientific knowledge network of China's optical technology sector. En-vironment and Planning A, 43(4):810-829. doi:10.1068/a 43100
    [18] Liu Donghe, Shi Jianjun, 2009. Spatial econometric analysis of regional innovation and influencing factors. Science and Tech-nology Management Research, (10):198-199. (in Chinese)
    [19] Luo Wei, Tang Yuanhu, 2000. Cooperative innovation:a literature review. Studies in International Technology and Economy, 3(4):42-50. (in Chinese)
    [20] Lu Lachang, Huang Ru, 2012. Urban hierarchy of innovation capability and inter-city linkages of knowledge in post-reform China. Chinese Geographical Science, 22(5):602-616. doi: 10.1007/s11769-012-0555-8
    [21] Lu Guoqing, Zeng Gang, Guo Jinlong, 2014. Innovation network system of industry-university-research institute of equipment manufacturing industry in the Changjiang River Delta. Scientia Geographical Sinica, 34(9):1051-1059. (in Chinese)
    [22] Ren Jinluan, Lu Jiannan, 2003. Research on the compound triple helix innovation system model. Studies in Science of Science, 21(5):546-551. (in Chinese)
    [23] Sorenson O, Rivkin J W, Fleming L, 2006. Complexity, networks and knowledge flow. Research Policy, 35(7):994-1017. doi: 10.1016/j.respol.2006.05.002
    [24] The Department of Urban Social and Economic Surveys of NBS, 2015. China City Statistical Yearbooks. China Statistics Press, 13-362.
    [25] Tu J, Gu S L, Wu G S, 2005. A new pattern of technology transfer in rural China:triple helix of academy-agriculture-government relations in Baoji city. Asian Journal of Technology Innovation, 13(2):157-178. doi: 10.1080/19761597.2005.9668612
    [26] Tu Zhenzhou, Gu Xin, 2013. Study on process of indus-try-university-research institute collaborative innovation based on knowledge flow. Studies in Science of Science, 31(9):1381-1390. (in Chinese)
    [27] Walters D, Rainbird M, Archer N P, 2007. Cooperative innovation:a value chain approach. Journal of Enterprise Information Management, 20(5):595-607. doi:10.1108/1741039071 0823725
    [28] Wang Qiuyu, Zeng Gang, Lyu Guoqing, 2016. Structural evolution of innovation networks of China's equipment manufacturing industry. Acta Geographica Sinica, 71(2):251-264. (in Chinese)
    [29] Wasserman S, Faust K, 1994. Social Network Analysis:Methods and Applications. Cambridge:Cambridge University Press.
    [30] Wu Wei, Chen Liping, 2007. To analyse and to construct of the cooperative innovation networks of industry-university-research institution network. Value Engineering, 26(1):32-35. (in Chinese)
    [31] Zhuang Tao, Wu Hong, 2013. Study on measure of Triple Helix Based on the patent data from China. Management World, (8):175-176. (in Chinese)
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Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case

doi: 10.1007/s11769-017-0924-4
  • 1. Key Research Institute of Yellow River Civilization and Sustainable Development/Henan Collaborative Innovation Center for the Yellow River Civilization Heritage and Modern Civilization Construction/College of Environment and Planning, Henan University, Kaifeng 475001, China;
  • 2. Collaborative Innovation Center of Urban-Rural Coordinated Development, Henan Province, Kaifeng 475004, China;
  • 3. Gemmological Institute, China University of Geosciences(Wuhan), Wuhan 430074, China
Funds:  Under the auspices of National Natural Science Foundation of China (No. 41471105, 41430637, 41701197), Program for Innovative Research Team (in Science and Technology) in University of Henan Province (No. 16IRTSTHN012), Key Project of the Humanities and Social Sciences Research Base in Ministry of Education (No. 15JJDZONGHE008), China Postdoctoral Science Foundation (No. 2013M531667, 2014T70672)
    Corresponding author: LI Erling
  • Received Date: 2017-03-10
  • Rev Recd Date: 2017-07-07
  • Publish Date: 2018-02-27

Abstract: Under the special background of China, the cooperative innovation between different government-industry-university-research institutes plays an increasingly important role in the agricultural field. However, the existing literature has paid little attention to it. Considering the cooperation patents, published in the agriculture field stemming from the Full-text Database of China Patents as the study object, the spatial and institutional attribute of the authors as the data source, and by combining the social network and spatial econometrics analysis, this paper analyzes the structure evolution characteristics of cooperative innovation networks of agricultural government-industry-university-research institute in the city level of China in 1985-2014, based on the triple helix theory, with the in-fluence factors discussed. This shows that, 1) since 1985, China's agricultural innovation level has been substantially increased, but the development degree of the cooperative innovation network is low, and the patent cooperation mainly relies on authors in the same unit; 2) enterprises play a leading role in the agricultural cooperative innovation. The effect of the government and hybrid organizations driven by the government is not obvious; 3) the cooperative innovation in the province and city dominates, and a multi-pole pattern has been formed. The cooperative innovation network structure evolves from a single helix empty core and double helix multi core to a double helix hierarchical network; 4) the city's science, education funding and personnel investment are key factors determining the agricultural cooperative innovation, while the agricultural development of the city presents slight negative impacts on it. The spatial mismatch of supply and demand is present in the technical cooperative innovation of China's agriculture. Therefore, the science enhancement and education investment to big agricultural provinces should be promptly implemented.

LI Erling, YAO Fei, XI Jiaxin, GUO Chunyang. Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case[J]. Chinese Geographical Science, 2018, 28(1): 137-152. doi: 10.1007/s11769-017-0924-4
Citation: LI Erling, YAO Fei, XI Jiaxin, GUO Chunyang. Evolution Characteristics of Government-Industry-University-Research Cooperative Innovation Network for China's Agriculture and Influencing Factors: Illustrated According to Agricultural Patent Case[J]. Chinese Geographical Science, 2018, 28(1): 137-152. doi: 10.1007/s11769-017-0924-4
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