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Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China

Author

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  • Weiwei Liu

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    Management School, Queen’s University Belfast, Belfast BT9 5EE, UK)

  • Yuan Tao

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China)

  • Zhile Yang

    (Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China)

  • Kexin Bi

    (School of Economics and Management, Harbin Engineering University, Harbin 150001, China
    School of Management, Harbin University of Science and Technology, Harbin 150080, China)

Abstract

Smart grids (SGs) have been widely recognized as an enabling technology for delivering sustainable energy transitions. SGs have a positive effect on the development of the world economy and society. SG construction plays an important role in responding to global climate change and promoting the sustainable development of the world economy and society. Under such a background, this paper attempts to investigate patent collaborations of the SG field in China. Based on the application data of collaborative patents from State Intellectual Property Office (SIPO) in China, this study employs complex network theory and social network analysis (SNA) method and conducts in-depth research on the patent collaboration network of SG field in China. The trend of patent collaboration was examined, the collaboration network of SG-related patents was investigated, the network characteristics, and the network structure were also explored. The results show that the proportion of enterprises participating in patent collaboration is relatively large for SG field in China, the percentage of collaboration relationships formed by different patent applicants varies greatly, and that the State Grid Corporation of China (SGCC) plays an important role in patent collaboration in SG field currently. It can also be found that patent collaboration is an effective form of cooperative innovation among different entities. Finally, three suggestions are provided in response to the existing problems.

Suggested Citation

  • Weiwei Liu & Yuan Tao & Zhile Yang & Kexin Bi, 2019. "Exploring and Visualizing the Patent Collaboration Network: A Case Study of Smart Grid Field in China," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:2:p:465-:d:198455
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    References listed on IDEAS

    as
    1. Guan, Jiancheng & Liu, Na, 2016. "Exploitative and exploratory innovations in knowledge network and collaboration network: A patent analysis in the technological field of nano-energy," Research Policy, Elsevier, vol. 45(1), pages 97-112.
    2. Crescenzi, Riccardo & Nathan, Max & Rodríguez-Pose, Andrés, 2016. "Do inventors talk to strangers? On proximity and collaborative knowledge creation," Research Policy, Elsevier, vol. 45(1), pages 177-194.
    3. Sun, Huaping & Geng, Yong & Hu, Lingxiang & Shi, Longyu & Xu, Tong, 2018. "Measuring China's new energy vehicle patents: A social network analysis approach," Energy, Elsevier, vol. 153(C), pages 685-693.
    4. Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen, 2012. "Identifying and visualizing technology evolution: A case study of smart grid technology," Technological Forecasting and Social Change, Elsevier, vol. 79(6), pages 1099-1110.
    5. Ozcan, Sercan & Islam, Nazrul, 2014. "Collaborative networks and technology clusters — The case of nanowire," Technological Forecasting and Social Change, Elsevier, vol. 82(C), pages 115-131.
    6. Sternitzke, Christian & Bartkowski, Adam & Schramm, Reinhard, 2008. "Visualizing patent statistics by means of social network analysis tools," World Patent Information, Elsevier, vol. 30(2), pages 115-131, June.
    7. Jinchao Li & Tianzhi Li & Liu Han, 2018. "Research on the Evaluation Model of a Smart Grid Development Level Based on Differentiation of Development Demand," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    8. Clastres, Cédric, 2011. "Smart grids: Another step towards competition, energy security and climate change objectives," Energy Policy, Elsevier, vol. 39(9), pages 5399-5408, September.
    9. Chen, Ssu-Han & Huang, Mu-Hsuan & Chen, Dar-Zen & Lin, Siou-Zih, 2012. "Detecting the temporal gaps of technology fronts: A case study of smart grid field," Technological Forecasting and Social Change, Elsevier, vol. 79(9), pages 1705-1719.
    10. Motohashi, Kazuyuki & Muramatsu, Shingo, 2012. "Examining the university industry collaboration policy in Japan: Patent analysis," Technology in Society, Elsevier, vol. 34(2), pages 149-162.
    11. Fischer, Bruno Brandão & Schaeffer, Paola Rücker & Vonortas, Nicholas S., 2019. "Evolution of university-industry collaboration in Brazil from a technology upgrading perspective," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 330-340.
    12. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    13. Lin, Chen-Chun & Yang, Chia-Han & Shyua, Joseph Z., 2013. "A comparison of innovation policy in the smart grid industry across the pacific: China and the USA," Energy Policy, Elsevier, vol. 57(C), pages 119-132.
    14. Huang, Mu-Hsuan & Dong, Huei-Ru & Chen, Dar-Zen, 2012. "Globalization of collaborative creativity through cross-border patent activities," Journal of Informetrics, Elsevier, vol. 6(2), pages 226-236.
    15. Lee, Amy H.I. & Chen, Hsing Hung & Chen, Jack, 2017. "Building smart grid to power the next century in Taiwan," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 126-135.
    16. Ngar-yin Mah, Daphne & Wu, Yun-Ying & Ronald Hills, Peter, 2017. "Explaining the role of incumbent utilities in sustainable energy transitions: A case study of the smart grid development in China," Energy Policy, Elsevier, vol. 109(C), pages 794-806.
    17. Hong, Wei & Su, Yu-Sung, 2013. "The effect of institutional proximity in non-local university–industry collaborations: An analysis based on Chinese patent data," Research Policy, Elsevier, vol. 42(2), pages 454-464.
    18. He, Xijun & Dong, Yanbo & Wu, Yuying & Wei, Guodan & Xing, Lizhi & Yan, Jia, 2017. "Structure analysis and core community detection of embodied resources networks among regional industries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 137-150.
    19. Erlinghagen, Sabine & Markard, Jochen, 2012. "Smart grids and the transformation of the electricity sector: ICT firms as potential catalysts for sectoral change," Energy Policy, Elsevier, vol. 51(C), pages 895-906.
    20. Andris Piebalgs, 2006. "Green paper: A European strategy for sustainable, competitive and secure energy," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 7(02), pages 8-20, July.
    21. Chang, Shu-Hao, 2017. "The technology networks and development trends of university-industry collaborative patents," Technological Forecasting and Social Change, Elsevier, vol. 118(C), pages 107-113.
    22. Gonzalez, Reyes & Llopis, Juan & Gasco, Jose, 2015. "Social networks in cultural industries," Journal of Business Research, Elsevier, vol. 68(4), pages 823-828.
    23. de A. Dantas, Guilherme & de Castro, Nivalde J. & Dias, Luis & Antunes, Carlos Henggeler & Vardiero, Pedro & Brandão, Roberto & Rosental, Rubens & Zamboni, Lucca, 2018. "Public policies for smart grids in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 92(C), pages 501-512.
    24. Chen, Yu-Shan & James Lin, Ming-Ji & Chang, Ching-Hsun & Liu, Fang-Mei, 2009. "Technological innovations and industry clustering in the bicycle industry in Taiwan," Technology in Society, Elsevier, vol. 31(3), pages 207-217.
    25. Gao, Xia & Guan, Jiancheng, 2009. "Characteristics of the network of scientific journals pertaining to Chinese patents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4267-4272.
    26. Morescalchi, Andrea & Pammolli, Fabio & Penner, Orion & Petersen, Alexander M. & Riccaboni, Massimo, 2015. "The evolution of networks of innovators within and across borders: Evidence from patent data," Research Policy, Elsevier, vol. 44(3), pages 651-668.
    27. Markovic, Dragan S. & Zivkovic, Dejan & Branovic, Irina & Popovic, Ranko & Cvetkovic, Dragan, 2013. "Smart power grid and cloud computing," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 566-577.
    28. Richard Blundel, 2006. "'Little Ships': The Co-evolution of Technological Capabilities and Industrial Dynamics in Competing Innovation Networks," Industry and Innovation, Taylor & Francis Journals, vol. 13(3), pages 313-334.
    29. Inoue, Hiroyasu & Souma, Wataru & Tamada, Schumpeter, 2007. "Spatial characteristics of joint application networks in Japanese patents," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 383(1), pages 152-157.
    30. Monaghan, Sinéad & Lavelle, Jonathan & Gunnigle, Patrick, 2017. "Mapping networks: Exploring the utility of social network analysis in management research and practice," Journal of Business Research, Elsevier, vol. 76(C), pages 136-144.
    31. Moussa, Bachar & Varsakelis, Nikos C., 2017. "International patenting: An application of network analysis," The Journal of Economic Asymmetries, Elsevier, vol. 15(C), pages 48-55.
    32. Lee Fleming & Charles King & Adam I. Juda, 2007. "Small Worlds and Regional Innovation," Organization Science, INFORMS, vol. 18(6), pages 938-954, December.
    33. Cédric Clastres, 2011. "Smart grids : Another step towards competition, energy security and climate change objectives," Post-Print halshs-00617702, HAL.
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    2. Yuan Yuan & Jinli Guo & Zhaohua Guo, 2023. "An Evolutionary Analysis of Higher-Order Interaction Collaborative Innovation Networks in China’s New Energy Vehicle Industry," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    3. Angelou, K. & Maragakis, M. & Kosmidis, K. & Argyrakis, P., 2021. "The evolution of triangular research and innovation collaborations in the European area," Journal of Informetrics, Elsevier, vol. 15(3).

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