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Technological collaboration patterns in solar cell industry based on patent inventors and assignees analysis

Author

Listed:
  • Xiao-Ping Lei

    (Institute of Scientific and Technical Information of China)

  • Zhi-Yun Zhao

    (Institute of Scientific and Technical Information of China)

  • Xu Zhang

    (Institute of Scientific and Technical Information of China)

  • Dar-Zen Chen

    (National Taiwan University)

  • Mu-Hsuan Huang

    (National Taiwan University)

  • Jia Zheng

    (Institute of Scientific and Technical Information of China)

  • Run-Sheng Liu

    (Institute of Scientific and Technical Information of China)

  • Jing Zhang

    (Institute of Scientific and Technical Information of China)

  • Yun-Hua Zhao

    (Institute of Scientific and Technical Information of China)

Abstract

This study examines technological collaboration in the solar cell industry using the information of patent assignees and inventors as defined by the United States Patent and Trademark Office. Three different collaborative types, namely local (same city), domestic (different cities of the same country), and international collaboration, are discussed. The general status of solar cell patent collaborations, transforming trends of collaborative patterns, average numbers of assignees and inventors for three collaborative types, and international collaboration countries are studied. It is found that co-invented patents and co-assigned patents have both increased in numbers during the four decades studied, and that collaboration between technology owners is very low while the collaboration between inventors is active. Domestic collaboration is the main collaborative pattern for both assignee collaboration and inventor collaboration. The other two collaborative types show contrary trends: international collaboration has slowly risen in the past decades while local collaboration has dwindled. The US has the largest number of internationally collaborative patents worldwide, though such patents account for a low portion of total US patents. In contrast, China has a small total number of patents and internationally collaborative patents, however its international collaborative shares are higher. The international collaboration patents among countries are few. A co-assigned patent analysis indicates that the main international cooperation partner of the United States is Japan. Based on an international co-invented patent analysis, the main international collaboration partners of the United States are Britain, Japan, and Germany; and the United States is also the most important collaboration partner of China.

Suggested Citation

  • Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Jia Zheng & Run-Sheng Liu & Jing Zhang & Yun-Hua Zhao, 2013. "Technological collaboration patterns in solar cell industry based on patent inventors and assignees analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 427-441, August.
  • Handle: RePEc:spr:scient:v:96:y:2013:i:2:d:10.1007_s11192-012-0944-x
    DOI: 10.1007/s11192-012-0944-x
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    References listed on IDEAS

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    Cited by:

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    2. Vincent Frigant & Stéphane Miollan & M. Presse, 2016. "Is the Fuel Cell Vehicle’s Technological Innovation System built at a global or national scale? An analysis of carmakers' co-patents’ portfolios," Post-Print hal-02150385, HAL.
    3. Kim, Yeong Jae, 2022. "The countervailing effects of stocks of knowledge on low-carbon innovation through international collaboration," Energy Policy, Elsevier, vol. 170(C).
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    6. Zhang, Lili & Guo, Ying & Sun, Ganlu, 2019. "How patent signals affect venture capital: The evidence of bio-pharmaceutical start-ups in China," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 93-104.
    7. Ye, Liang-Cheng & Rodrigues, João F.D. & Lin, Hai Xiang, 2017. "Analysis of feed-in tariff policies for solar photovoltaic in China 2011–2016," Applied Energy, Elsevier, vol. 203(C), pages 496-505.
    8. de Paulo, Alex Fabianne & Porto, Geciane Silveira, 2017. "Solar energy technologies and open innovation: A study based on bibliometric and social network analysis," Energy Policy, Elsevier, vol. 108(C), pages 228-238.
    9. Martin Kalthaus, 2017. "Identifying technological sub-trajectories in photovoltaic patents," Jena Economics Research Papers 2017-010, Friedrich-Schiller-University Jena.
    10. Wang, Chun-Chieh & Lin, Jia-Tian & Chen, Dar-Zen & Lo, Szu-Chia, 2023. "A New Look at National Diversity of Inventor Teams within Organizations," Journal of Informetrics, Elsevier, vol. 17(1).
    11. Hui-Yun Sung & Chun-Chieh Wang & Dar-Zen Chen & Mu-Hsuan Huang, 2014. "A comparative study of patent counts by the inventor country and the assignee country," Scientometrics, Springer;Akadémiai Kiadó, vol. 100(2), pages 577-593, August.
    12. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    13. Yi Zhang & Yue Qian & Ying Huang & Ying Guo & Guangquan Zhang & Jie Lu, 2017. "An entropy-based indicator system for measuring the potential of patents in technological innovation: rejecting moderation," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(3), pages 1925-1946, June.
    14. Zhao Qu & Shanshan Zhang & Chunbo Zhang, 2017. "Patent research in the field of library and information science: Less useful or difficult to explore?," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 205-217, April.
    15. Bruns, Stephan B. & Kalthaus, Martin, 2020. "Flexibility in the selection of patent counts: Implications for p-hacking and evidence-based policymaking," Research Policy, Elsevier, vol. 49(1).
    16. Vincent Frigant & Stéphane Miollan & Maëlise Presse & David Virapin, 2019. "Quelles frontières géographiques pour les systèmes d’innovation technologique ?. Une analyse par les co-brevets appliquée au véhicule à pile à combustible," Innovations, De Boeck Université, vol. 0(1), pages 243-273.
    17. Donghyun Choi & Bomi Song, 2018. "Exploring Technological Trends in Logistics: Topic Modeling-Based Patent Analysis," Sustainability, MDPI, vol. 10(8), pages 1-26, August.
    18. Hengtian Wang & Xiaolong Yang & Xinxin Xu & Liu Fei, 2021. "Exploring Opportunities and Challenges of Solar PV Power under Carbon Peak Scenario in China: A PEST Analysis," Energies, MDPI, vol. 14(11), pages 1-28, May.
    19. Huang, Ping & Negro, Simona O. & Hekkert, Marko P. & Bi, Kexin, 2016. "How China became a leader in solar PV: An innovation system analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 777-789.
    20. Yun Liu & Yijie Cheng & Zhe Yan & Xuanting Ye, 2018. "Multilevel Analysis of International Scientific Collaboration Network in the Influenza Virus Vaccine Field: 2006–2013," Sustainability, MDPI, vol. 10(4), pages 1-19, April.
    21. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    22. Alex Fabianne de Paulo & Evandro Marcos Saidel Ribeiro & Geciane Silveira Porto, 2018. "Mapping countries cooperation networks in photovoltaic technology development based on patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 667-686, November.
    23. Jungwon Yoon, 2015. "The evolution of South Korea’s innovation system: moving towards the triple helix model?," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(1), pages 265-293, July.
    24. Streltsova, E., 2022. "Global flows of technological knowledge: The position of Russia," Journal of the New Economic Association, New Economic Association, vol. 57(5), pages 39-54.
    25. Chao-Chan Wu, 2016. "Constructing a weighted keyword-based patent network approach to identify technological trends and evolution in a field of green energy: a case of biofuels," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(1), pages 213-235, January.

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