بررسی ساختار و تکامل شبکه نوآوری کشورهای فرارسی کننده در حوزه انرژی خورشیدی با استفاده از تحلیل استنادات پتنت
محورهای موضوعی : مديريت تکنولوژي
محبوبه نوری زاده
1
(دانشگاه تربیت مدرس)
طاهره صاحب
2
(دانشگاه تربیت مدرس)
شقایق صحرایی
3
(دانشگاه تربیت مدرس)
علی ملکی
4
(دانشگاه صنعتی شریف)
کلید واژه: انرژی تجدید پذیر خورشیدی, فرارسی فناورانه, تحلیل پتنت, شبکه نوآوری, پنجره فرصت.,
چکیده مقاله :
در طول سه دهه گذشته، پژوهش‌ها بر این موضوع متمرکز بوده‌است که کشورهای متأخر چگونه و تحت چه شرایطی توانسته‌اند به تولیدکنندگان اصلی فناوری‌های جدید همچون انرژی‌های تجدیدپذیر تبدیل شوند و در این حوزه فرارسی فناورانه نمایند. این موضوع برای کشورهای در حال توسعه از آن جهت مورد تاکید است که از سویی بیشترین رشد تقاضای انرژی در سال‌های آینده در این کشورها خواهد بود و از سوی دیگر پنجره فرصت سبزی است تا سایر کشورهای در حال‌توسعه بتوانند با در نظر گرفتن آن به درس‌آموزی و یادگیری پرداخته و در جهت فرارسی در این حوزه‌ها تلاش نمایند. در این پژوهش سعی شده‌است تا فرارسی فناورانه از طریق تحلیل ساختار و تکامل شبکه نوآوری حوزه انرژی خورشیدی با استفاده از تحلیل استنادات پتنت بررسی شود. بدین منظور پتنت‌های این حوزه از پایگاه نوآوری دِرونت و در بازه زمانی سال 1980 تا 2017 استخراج و پاکسازی شد. سپس شبکه استنادات تشکیل و با استفاده از روش‌های تجزیه و تحلیل شبکه‌های اجتماعی ساختار کلی شبکه و ویژگی‌های سطح کشور بررسی شد. نتایج نشان داد که کشورهایی که از طرفی به مرور ظرفیت جذب خود را از طریق پیوستن به شبکه جهانی نوآوری و حرکت در خط سیر فناوری‌های کشورهای پیشرو از طریق افزایش استنادات به پتنت‌های این کشورها، افزایش دادند و از طرفی دیگر پتنت‌های باکیفیتی در حوزه‌های جدید ثبت کرده‌اند، مورد استناد روزافزون سایر کشورها قرار گرفته و موفق شدند در شبکه جایگاه ویژه‌ای به عنوان واسط و میانجی انتقال و اشاعه فناوری پیدا کنند و موفق به فرارسی فناورانه شوند.
Over the past three decades, research has focused on how and under what conditions latecomers have been able to become major producers of new technologies, such as renewable energy, and make technological catch-up in this area. This is emphasized for developing countries because, on the one hand, the greatest growth in energy demand in the coming years will be in these countries, and on the other hand, it is a green window of opportunity for other developing countries to learn and work towards catching-up in these areas. In this research, from the perspective of global innovation networks, the technological approach was investigated by analyzing the structure and evolution of the solar energy innovation network using patent citation analysis. For this purpose, patents in this field were extracted and cleared from the Derwent Innovation over a period 1980-2017. Then, a citation network was formed and the topological structure and country-level indicator were examined using social network analysis methods. The results showed that countries that were able to gradually increase their absorption capacity by joining the global innovation network and moving in the path of technology of leading countries by increasing citations to their patents, could able to be producers of knowledge and granted high quality patents which have been increasingly cited by other countries. These countries found a special place in the network as intermediaries for the diffusion of technology and succeeded in technological catch-up.
[1] A. Rosiello and A. Maleki, “A dynamic multi-sector analysis of technological catch-up: The impact of technology cycle times, knowledge base complexity and variety,” Res. Policy, vol. 50, no. 3, p. 104194, 2021.
[2] C. Binz and L. D. Anadon, “Unrelated diversification in latecomer contexts: Emergence of the Chinese solar photovoltaics industry,” Environ. Innov. Soc. Transit., vol. 28, pp. 14–34, 2018.
[3] A. Maleki and A. Rosiello, “Does knowledge base complexity affect spatial patterns of innovation? An empirical analysis in the upstream petroleum industry,” Technol. Forecast. Soc. Change, vol. 143, pp. 273–288, 2019.
[4] C. Binz, J. Gosens, X.-S. Yap, and Z. Yu, “Catch-up dynamics in early industry lifecycle stages—a typology and comparative case studies in four clean-tech industries,” p. 19, 2020.
[5] A. Maleki, A. Rosiello, and D. Wield, “The effect of the dynamics of knowledge base complexity on Schumpeterian patterns of innovation: the upstream petroleum industry,” RD Manag., vol. 48, no. 4, pp. 379–393, 2018.
[6]J. Huenteler, T. S. Schmidt, J. Ossenbrink, and V. H. Hoffmann, “Technology life-cycles in the energy sector — Technological characteristics and the role of deployment for innovation,” Technol. Forecast. Soc. Change, vol. 104, pp. 102–121, Mar. 2016, doi: 10.1016/j.techfore.2015.09.022.
[7]N. Corrocher, F. Malerba, and A. Morrison, “Technological regimes, patent growth, and catching-up in green technologies,” Ind. Corp. Change, p. dtab025, May 2021, doi: 10.1093/icc/dtab025.
[8]D. S. Hain, R. Jurowetzki, P. Konda, and L. Oehler, “From catching up to industrial leadership: towards an integrated market-technology perspective. An application of semantic patent-to-patent similarity in the wind and EV sector,” Ind. Corp. Change, 2020.
[9]F. Landini, R. Lema, and F. Malerba, “Demand-led catch-up: a history-friendly model of latecomer development in the global green economy,” Ind. Corp. Change, 2020.
[10]R. Lema, X. Fu, and R. Rabellotti, “Green windows of opportunity: latecomer development in the age of transformation toward sustainability,” Ind. Corp. Change, vol. 29, no. 5, pp. 1193–1209, Oct. 2020, doi: 10.1093/icc/dtaa044.
[11]Y. Dai, S. J. Haakonsson, P. Huang, R. Lema, and Y. Zhou, “Catching up through green windows of opportunity,” in Cooperating for Energy Transition, Sino-Danish Center, 2020, pp. 82–91.
[12]C. Chaminade, R. Martin, and J. McKeever, “When regional meets global: exploring the nature of global innovation networks in the video game industry in Southern Sweden,” Entrep. Reg. Dev., vol. 33, no. 1–2, pp. 131–146, 2021.
[13]D. Ernst, “Innovation offshoring: Asia’s emerging role in global innovation networks,” East-West Cent. East-West Cent. Spec. Rep., vol. 10, 2006.
[14]J. Liu, C. Chaminade, and B. Asheim, “The geography and structure of global innovation networks: a knowledge base perspective,” Eur. Plan. Stud., vol. 21, no. 9, pp. 1456–1473, 2013.
[15]D. Nepelski and G. De Prato, “The structure and evolution of ICT global innovation network,” Ind. Innov., vol. 25, no. 10, pp. 940–965, 2018.
[16]C. Binz, T. Tang, and J. Huenteler, “Spatial lifecycles of cleantech industries–The global development history of solar photovoltaics,” Energy Policy, vol. 101, pp. 386–402, 2017.
[17]T. Hansen and U. E. Hansen, “How many firms benefit from a window of opportunity? Knowledge spillovers, industry characteristics, and catching up in the Chinese biomass power plant industry,” Ind. Corp. Change, 2020.
[18]Z. Chen and J. Guan, “The core-peripheral structure of international knowledge flows: evidence from patent citation data,” RD Manag., vol. 46, no. 1, pp. 62–79, 2016.
[19]D. Acemoglu, U. Akcigit, and W. R. Kerr, “Innovation network,” Proc. Natl. Acad. Sci., vol. 113, no. 41, pp. 11483–11488, Oct. 2016, doi: 10.1073/pnas.1613559113.
[20]J. N. de P. Britto, L. C. Ribeiro, L. T. Araújo, and E. da M. e Albuquerque, “Patent citations, knowledge flows, and catching-up: Evidences of different national experiences for the period 1982–2006,” Sci. Public Policy, p. scaa041, Dec. 2020, doi: 10.1093/scipol/scaa041.
[21]W. Yang, X. Yu, B. Zhang, and Z. Huang, “Mapping the landscape of international technology diffusion (1994–2017): network analysis of transnational patents,” J. Technol. Transf., vol. 46, no. 1, pp. 138–171, Feb. 2021, doi: 10.1007/s10961-019-09762-9.
[22]Derwent Innovation, “https://clarivate.com/derwent/solutions/derwent-innovation/,” 2021. https://clarivate.com/derwent/solutions/derwent-innovation/ (accessed Mar. 16, 2021).
[23]E. Garfield, I. H. Sher, and R. J. Torpie, “The use of citation data in writing the history of science,” Institute for Scientific Information Inc Philadelphia PA, 1964.
[24]T.-S. Cho and H.-Y. Shih, “Patent citation network analysis of core and emerging technologies in Taiwan: 1997–2008,” Scientometrics, vol. 89, no. 3, pp. 795–811, 2011.
[25]A. B. Jaffe and G. de Rassenfosse, “Patent citation data in social science research: Overview and best practices,” J. Assoc. Inf. Sci. Technol., vol. 68, no. 6, pp. 1360–1374, Jun. 2017, doi: 10.1002/asi.23731.
[26]J. Noailly and V. Shestalova, “Knowledge spillovers from renewable energy technologies: Lessons from patent citations,” Environ. Innov. Soc. Transit., vol. 22, pp. 1–14, Mar. 2017, doi: 10.1016/j.eist.2016.07.004.
[27]B. H. Hall, A. B. Jaffe, and M. Trajtenberg, “The NBER patent citation data file: Lessons, insights and methodological tools,” National Bureau of Economic Research, 2001.
[28]E. S. Kashani and S. Roshani, “Evolution of innovation system literature: Intellectual bases and emerging trends,” Technol. Forecast. Soc. Change, vol. 146, pp. 68–80, 2019.
[29]X. Ye, J. Zhang, Y. Liu, and J. Su, “Study on the measurement of international knowledge flow based on the patent citation network,” Int. J. Technol. Manag., vol. 69, pp. 229–245, Jan. 2015, doi: 10.1504/IJTM.2015.072971.
[30]S. Roshani, S. Ghazinoori, and S. H. Tabatabaeian, “A Co-Authorship network analysis of iranian researchers in technology policy and management,” J. Sci. Technol. Policy, vol. 6, no. 2, pp. 69–89, 2014.
[31]B. Moussa and N. C. Varsakelis, “International patenting: an application of network analysis,” J. Econ. Asymmetries, vol. 15, pp. 48–55, 2017.
[32]R. Cowan and N. Jonard, “Network structure and the diffusion of knowledge,” J. Econ. Dyn. Control, vol. 28, no. 8, pp. 1557–1575, 2004.
[33]L. Hua and W. Wang, “The impact of network structure on innovation efficiency: An agent-based study in the context of innovation networks,” Complexity, vol. 21, no. 2, pp. 111–122, 2015.
[34]W. Yang, X. Yu, D. Wang, J. Yang, and B. Zhang, “Spatio-temporal evolution of technology flows in China: patent licensing networks 2000–2017,” J. Technol. Transf., Jun. 2019, doi: 10.1007/s10961-019-09739-8.