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iBusiness  2023 

The Development Status, Technical Characteristics, and Competitive Dynamics of Blockchain-critical Technologies in China and the USA: From a Patent Perspective

DOI: 10.4236/ib.2023.154016, PP. 209-235

Keywords: Blockchain-critical Technologies, Patentometrics, Invention Patents, Technology Life Cycle

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Abstract:

As an emerging technology, blockchain has attracted significant attention from countries worldwide. Based on patent measurement analysis methods, this paper conducts an in-depth study of invention patents related to crucial blockchain technologies in China and the United States from 2016 to 2022. The study found that the overall trend of the number of patents first increases and then declines, and the layout of the USA in this field is earlier than that of China, but the total number of patents in China exceeds that of the USA; the number of Chinese invention patents located in the core area of the international patent classification (IPC) large group exceeds that of the USA, and there are differences in the types of active technologies between China and the USA; the technology life cycle of China and the USA in this field as a whole has entered the declining period, but segmented technology areas such as privacy protection and cross-chain technology are still in the growth period.

 References

[1]  Abbas, A., Zhang, L., & Khan, S. U. (2014). A Literature Review on the State-of-the-Art in Patent Analysis. World Patent Information, 37, 3-13.
https://doi.org/10.1016/j.wpi.2013.12.006
[2]  Abdelgawad, L., Kluegl, P., Genc, E., Falkner, S., & Hutter, F. (2020). Optimizing Neural Networks for Patent Classification. In U. Brefeld et al. (Eds.), Machine Learning and Knowledge Discovery in Databases. ECML PKDD 2019. Lecture Notes in Computer Science (pp. 688-703). Springer.
https://doi.org/10.1007/978-3-030-46133-1_41
[3]  Abraham, B. P., & Moitra, S. D. (2001). Innovation Assessment through Patent Analysis. Technovation, 21, 245-252.
https://doi.org/10.1016/S0166-4972(00)00040-7
[4]  Altuntas, S., Erdogan, Z., & Dereli, T. (2020). A Clustering-Based Approach for the Evaluation of Candidate Emerging Technologies. Scientometrics, 124, 1157-1177.
https://doi.org/10.1007/s11192-020-03535-0
[5]  Archibugi, D., & Planta, M. (1996). Measuring Technological Change through Patents and Innovation Surveys. Technovation, 16, 451-519.
https://doi.org/10.1016/0166-4972(96)00031-4
[6]  Arts, S., Hou, J., & Gomez, J. C. (2021). Natural Language Processing to Identify the Creation and Impact of New Technologies in Patent Text: Code, Data, and New Measures. Research Policy, 50, Article 104144.
https://doi.org/10.1016/j.respol.2020.104144
[7]  Asuncion, F., Brinckman, A., Cole, D., Curtis, J., Davis, M., Dunlevy, T., Farmer, C., Harrison, A., Johnson, D. P., & Joyce, J. (2021). Connecting Supplier and DoD Blockchains for Transparent Part Tracking. Blockchain: Research and Applications, 2, Article 100017.
https://doi.org/10.1016/j.bcra.2021.100017
[8]  Bains, P. (2022). Blockchain Consensus Mechanisms: A Primer for Supervisors. International Monetary Fund.
https://doi.org/10.5089/9781616358280.063
[9]  Bamakan, S. M. H., Bondarti, A. B., Bondarti, P. B., & Qu, Q. (2021). Blockchain Technology Forecasting by Patent Analytics and Text Mining. Blockchain: Research and Applications, 2, Article 100019.
https://doi.org/10.1016/j.bcra.2021.100019
[10]  Basberg, B. L. (1987). Patents and the Measurement of Technological Change: A Survey of the Literature. Research Policy, 16, 131-141.
https://doi.org/10.1016/0048-7333(87)90027-8
[11]  Batubara, F. R., Ubacht, J., & Janssen, M. (2018). Challenges of Blockchain Technology Adoption for E-Government: A Systematic Literature Review. In Proceedings of the 19th Annual International Conference on Digital Government Research: Governance in the Data Age (pp. 1-19). Association for Computing Machinery.
https://doi.org/10.1145/3209281.3209317
[12]  Benisi, N. Z., Aminian, M., & Javadi, B. (2020). Blockchain-Based Decentralized Storage Networks: A Survey. Journal of Network and Computer Applications, 162, Article 102656.
https://doi.org/10.1016/j.jnca.2020.102656
[13]  Broadus, R. N. (1987). Toward a Definition of “Bibliometrics”. Scientometrics, 12, 373-379.
https://doi.org/10.1007/BF02016680
[14]  Cai, L., Sun, Y., Zheng, Z., Xiao, J., & Qiu, W. (2021). Blockchain in China. Communications of the ACM, 64, 88-93.
https://doi.org/10.1145/3481627
[15]  Cangir, O. F., Cankur, O., & Ozsoy, A. (2021). A Taxonomy for Blockchain Based Distributed Storage Technologies. Information Processing & Management, 58, Article 102627.
https://doi.org/10.1016/j.ipm.2021.102627
[16]  Chen, Y., & Bellavitis, C. (2020). Blockchain Disruption and Decentralized Finance: The Rise of Decentralized Business Models. Journal of Business Venturing Insights, 13, e00151.
https://doi.org/10.1016/j.jbvi.2019.e00151
[17]  Chen, Y.-S., & Chang, K.-C. (2009). Using neural Network to Analyze the Influence of the Patent Performance upon the Market Value of the US Pharmaceutical Companies. Scientometrics, 80, 637-655.
https://doi.org/10.1007/s11192-009-2095-2
[18]  Cong, L. W., & He, Z. (2019). Blockchain Disruption and Smart Contracts. The Review of Financial Studies, 32, 1754-1797.
https://doi.org/10.1093/rfs/hhz007
[19]  Daim, T., Lai, K. K., Yalcin, H., Alsoubie, F., & Kumar, V. (2020). Forecasting Technological Positioning through Technology Knowledge Redundancy: Patent Citation Analysis of IoT, Cybersecurity, and Blockchain. Technological Forecasting and Social Change, 161, Article 120329.
https://doi.org/10.1016/j.techfore.2020.120329
[20]  Dehghani, M., Mashatan, A., & Kennedy, R. W. (2021). Innovation within Networks-Patent Strategies for Blockchain Technology. Journal of Business & Industrial Marketing, 36, 2113-2125.
https://doi.org/10.1108/JBIM-05-2019-0236
[21]  Delgado-Segura, S., Pérez-Solà, C., Herrera-Joancomartí, J., Navarro-Arribas, G., & Borrell, J. (2018). Cryptocurrency Networks: A New P2P Paradigm. Mobile Information Systems, 2018, Article ID: 2159082.
https://doi.org/10.1155/2018/2159082
[22]  Denter, N. M. (2021). Blockchain Breeding Grounds: Asia’s Advance over the USA and Europe. World Patent Information, 67, Article 102082.
https://doi.org/10.1016/j.wpi.2021.102082
[23]  Dolfsma, W., & Leydesdorff, L. (2011). Innovation Systems as Patent Networks: The Netherlands, India and Nanotech. Innovation, 13, 311-326.
https://doi.org/10.5172/impp.2011.13.3.311
[24]  Ernst, H. (2003). Patent Information for Strategic Technology Management. World Patent Information, 25, 233-242.
https://doi.org/10.1016/S0172-2190(03)00077-2
[25]  Filippova, E. (2019). Empirical Evidence and Economic Implications of Blockchain as a General Purpose Technology. In 2019 IEEE Technology & Engineering Management Conference (TEMSCON) (pp. 1-8). IEEE.
https://doi.org/10.1109/TEMSCON.2019.8813748
[26]  Griliches, Z. (1998). Patent Statistics as Economic Indicators: A Survey. In R&D and Productivity: The Econometric Evidence (pp. 287-343). University of Chicago Press.
[27]  Harhoff, D., Narin, F., Scherer, F. M., & Vopel, K. (1999). Citation Frequency and the Value of Patented Inventions. Review of Economics and Statistics, 81, 511-515.
https://doi.org/10.1162/003465399558265
[28]  Hu, Y., Hou, Y. G., Oxley, L., & Corbet, S. (2021). Does Blockchain Patent-Development Influence Bitcoin Risk? Journal of International Financial Markets, Institutions and Money, 70, Article 101263.
https://doi.org/10.1016/j.intfin.2020.101263
[29]  Huang, L.-Y., Cai, J.-F., Lee, T.-C., & Weng, M.-H. (2020). A Study on the Development Trends of the Energy System with Blockchain Technology Using Patent Analysis. Sustainability, 12, Article 2005.
https://doi.org/10.3390/su12052005
[30]  Ismanto, L., Ar, H. S., Fajar, A., & Bachtiar, S. (2019). Blockchain as E-Commerce Platform in Indonesia. Journal of Physics: Conference Series, 1179, Article 012114.
https://doi.org/10.1088/1742-6596/1179/1/012114
[31]  Jang, W., Park, Y., & Seol, H. (2021). Identifying Emerging Technologies Using Expert Opinions on the Future: A Topic Modeling and Fuzzy Clustering Approach. Scientometrics, 126, 6505-6532.
https://doi.org/10.1007/s11192-021-04024-8
[32]  Jiang, N., Liu, X., & Xu, M. (2021). Evaluating Blockchain Technology and Related Policies in China and the USA. Science and Public Policy, 48, 562-575.
https://doi.org/10.1093/scipol/scab032
[33]  Kakavand, H., Kost De Sevres, N., & Chilton, B. (2017). The Blockchain Revolution: An Analysis of Regulation and Technology Related to Distributed Ledger Technologies.
https://doi.org/10.2139/ssrn.2849251
[34]  Khan, S. N., Loukil, F., Ghedira-Guegan, C., Benkhelifa, E., & Bani-Hani, A. (2021). Blockchain Smart Contracts: Applications, Challenges, and Future Trends. Peer-to-Peer Networking and Applications, 14, 2901-2925.
https://doi.org/10.1007/s12083-021-01127-0
[35]  Lashkari, B., & Musilek, P. (2021). A Comprehensive Review of Blockchain Consensus Mechanisms. IEEE Access, 9, 43620-43652.
https://doi.org/10.1109/ACCESS.2021.3065880
[36]  Li, H., & Li, M. (2022). Patent Data Access Control and Protection Using Blockchain Technology. Scientific Reports, 12, Article No. 2772.
https://doi.org/10.1038/s41598-022-05215-w
[37]  Lin, S., Kong, Y., Nie, S., Xie, W., & Du, J. (2021). Research on Cross-Chain Technology of Blockchain. In 2021 6th International Conference on Smart Grid and Electrical Automation (ICSGEA) (pp. 405-408). IEEE.
https://doi.org/10.1109/ICSGEA53208.2021.00098
[38]  Lin, Y. (2008). Review of Knowledge Measurement Research Based on Patent Data. Science and Technology Management Research, 9, 91-93.
[39]  Liu, Q., Song, B., & Wang, J. (2022). Second-Degree Branch Structure Blockchain Expansion Model. International Journal of Distributed Sensor Networks, 18.
https://doi.org/10.1177/15501477211064755
[40]  Liu, Z., & Li, Z. (2020). A Blockchain-Based Framework of Cross-Border E-Commerce Supply Chain. International Journal of Information Management, 52, Article 102059.
https://doi.org/10.1016/j.ijinfomgt.2019.102059
[41]  Massaro, M. (2021). Digital Transformation in the Healthcare Sector through Blockchain Technology. Insights from Academic Research and Business Developments. Technovation, 120, Article 102386.
https://doi.org/10.1016/j.technovation.2021.102386
[42]  Mattke, J., Hund, A., Maier, C., & Weitzel, T. (2019). How an Enterprise Blockchain Application in the US Pharmaceuticals Supply Chain is Saving Lives. MIS Quarterly Executive, 18, Article 6.
https://doi.org/10.17705/2msqe.00019
[43]  Nan, J., Xing, L., & Ming, X. (2022). Measuring Technological Collaboration on Blockchain Based on Patents: A Social Network Analysis Approach. Science, Technology and Society, 27, 66-87.
https://doi.org/10.1177/09717218211032902
[44]  Narin, F. (1994). Patent Bibliometrics. Scientometrics, 30, 147-155.
https://doi.org/10.1007/BF02017219
[45]  Narin, F. (1995). Patents as Indicators for the Evaluation of Industrial Research Output. Scientometrics, 34, 489-496.
https://doi.org/10.1007/BF02018015
[46]  Natarajan, H., Krause, S., & Gradstein, H. (2017). Distributed Ledger Technology and Blockchain. The World Bank Group.
https://doi.org/10.1596/29053
[47]  Norman, P. M. (2002). Protecting Knowledge in Strategic Alliances: Resource and Relational Characteristics. The Journal of High Technology Management Research, 13, 177-202.
https://doi.org/10.1016/S1047-8310(02)00050-0
[48]  Ozcan, S., & Unalan, S. (2020). Blockchain as a General-Purpose Technology: Patentometric Evidence of Science, Technologies, and Actors. IEEE Transactions on Engineering Management, 69, 792-809.
https://doi.org/10.1109/TEM.2020.3008859
[49]  Pillai, B., Biswas, K., & Muthukkumarasamy, V. (2020). Cross-Chain Interoperability among Blockchain-Based Systems Using Transactions. The Knowledge Engineering Review, 35, e23.
https://doi.org/10.1017/S0269888920000314
[50]  Prahalad, C. K., & Mashelkar, R. A. (2010). Innovation’s Holy Grail. Harvard Business Review, 88, 132-141.
[51]  Price, D. J. (1986). Little Science, Big Science... and Beyond (Vol. 480). Columbia University Press.
[52]  Reisman, R. J. (2019). Air Traffic Management Blockchain Infrastructure for Security, Authentication, and Privacy. AIAA Scitech Forum.
https://ntrs.nasa.gov/api/citations/20190000022/downloads/20190000022.pdf
[53]  Saghiri, A. M. (2020). Blockchain Architecture. In S. Kim, & G. Deka (Eds.), Advanced Applications of Blockchain Technology (pp. 161-176). Springer.
https://doi.org/10.1007/978-981-13-8775-3_8
[54]  Sharples, M., & Domingue, J. (2016). The Blockchain and Kudos: A Distributed System for Educational Record, Reputation and Reward. In K. Verbert, M. Sharples, & T. Klobučar (Eds.), Adaptive and Adaptable Learning. EC-TEL 2016. Lecture Notes in Computer Science (pp 490-496). Springer.
https://doi.org/10.1007/978-3-319-45153-4_48
[55]  Sigley, G., & Powell, W. (2023). Governing the Digital Economy: An Exploration of Blockchains with Chinese Characteristics. Journal of Contemporary Asia, 53, 648-667.
https://doi.org/10.1080/00472336.2022.2093774
[56]  Someda, H., Akagi, T., & Kajikawa, Y. (2022). An Analysis of the Spillover Effects Based on Patents and Inter-Industrial Transactions for an Emerging Blockchain Technology. Scientometrics, 127, 4299-4314.
https://doi.org/10.1007/s11192-022-04457-9
[57]  Syed, T. A., Alzahrani, A., Jan, S., Siddiqui, M. S., Nadeem, A., & Alghamdi, T. (2019). A Comparative Analysis of Blockchain Architecture and Its Applications: Problems and Recommendations. IEEE Access, 7, 176838-176869.
https://doi.org/10.1109/ACCESS.2019.2957660
[58]  Trajtenberg, M., Henderson, R., & Jaffe, A. (1997). University versus Corporate Patents: A Window on the Basicness of Invention. Economics of Innovation and New Technology, 5, 19-50.
https://doi.org/10.1080/10438599700000006
[59]  Trappey, A., Trappey, C. V., & Hsieh, A. (2021). An Intelligent Patent Recommender Adopting Machine Learning Approach for Natural Language Processing: A Case Study for Smart Machinery Technology Mining. Technological Forecasting and Social Change, 164, Article 120511.
https://doi.org/10.1016/j.techfore.2020.120511
[60]  Verbeek, A., Debackere, K., Luwel, M., Andries, P., Zimmermann, E., & Deleus, F. (2002). Linking Science to Technology: Using Bibliographic References in Patents to Build Linkage Schemes. Scientometrics, 54, 399-420.
https://doi.org/10.1023/A:1016034516731
[61]  Wang, J., Chen, W., Wang, L., Ren, Y., & Sherratt, R. S. (2020). Blockchain-Based Data Storage Mechanism for Industrial Internet of Things. Intelligent Automation & Soft Computing, 26, 1157-1172.
https://doi.org/10.32604/iasc.2020.012174
[62]  Wang, T., Zhao, C., Yang, Q., Zhang, S., & Liew, S. C. (2021). Ethna: Analyzing the Underlying Peer-to-Peer Network of Ethereum Blockchain. IEEE Transactions on Network Science and Engineering, 8, 2131-2146.
https://doi.org/10.1109/TNSE.2021.3078181
[63]  Wu, H., Shen, G., Lin, X., Li, M., Zhang, B., & Li, C. Z. (2020). Screening Patents of ICT in Construction Using Deep Learning and NLP Techniques. Engineering, Construction and Architectural Management, 27, 1891-1912.
https://doi.org/10.1108/ECAM-09-2019-0480
[64]  Xu, X., Weber, I., Staples, M., Zhu, L., Bosch, J., Bass, L., Pautasso, C., & Rimba, P. (2017). A Taxonomy of Blockchain-Based Systems for Architecture Design. In 2017 IEEE International Conference on Software Architecture (ICSA) (pp. 243-252). IEEE.
https://doi.org/10.1109/ICSA.2017.33
[65]  Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2019). Blockchain Technology Overview. arXiv preprint arXiv:1906.11078.
https://doi.org/10.6028/NIST.IR.8202
[66]  Yang, Y.-J., & Hwang, J.-C. (2020). Recent Development Trend of Blockchain Technologies: A Patent Analysis. International Journal of Electronic Commerce Studies, 11, 1-12.
https://doi.org/10.7903/ijecs.1931
[67]  Yoon, J., & Kim, K. (2012). An Analysis of Property-Function Based Patent Networks for Strategic R&D Planning in Fast-Moving Industries: The Case of Silicon-Based Thin Film Solar Cells. Expert Systems with Applications, 39, 7709-7717.
https://doi.org/10.1016/j.eswa.2012.01.035
[68]  Yu, D., & Pan, T. (2021). Identifying Technological Development Trajectories in Blockchain Domain: A Patent Citation Network Analysis. Technology Analysis & Strategic Management, 33, 1484-1497.
https://doi.org/10.1080/09537325.2021.1879381
[69]  Yuan, Y., & Wang, F.-Y. (2018). Blockchain and Cryptocurrencies: Model, Techniques, and Applications. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48, 1421-1428.
https://doi.org/10.1109/TSMC.2018.2854904
[70]  Zanella, G., Liu, C. Z., & Choo, K.-K. R. (2023). Understanding the Trends in Blockchain Domain through an Unsupervised Systematic Patent Analysis. IEEE Transactions on Engineering Management, 70, 1991-2005.
[71]  Zhang, H., Daim, T., & Zhang, Y. P. (2021). Integrating Patent Analysis into Technology Roadmapping: A Latent Dirichlet Allocation Based Technology Assessment and Roadmapping in the Field of Blockchain. Technological Forecasting and Social Change, 167, Article 120729.
https://doi.org/10.1016/j.techfore.2021.120729
[72]  Zheng, J., Zhao, Z.-Y., Zhang, X., Chen, D.-Z., & Huang, M.-H. (2014). International Collaboration Development in Nanotechnology: A Perspective of Patent Network Analysis. Scientometrics, 98, 683-702.
https://doi.org/10.1007/s11192-013-1081-x
[73]  Zheng, Z., Xie, S., Dai, H., Chen, X., & Wang, H. (2017). An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends. In 2017 IEEE International Congress on Big Data (BigData Congress) (pp. 557-564). IEEE.
https://doi.org/10.1109/BigDataCongress.2017.85

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