Examining the Growth of Regional Science and Technology Clusters in the Global Economy

Abdulaziz A. Abduvaliev, Abduvali A. Isadjanov

Abstract


Relevance. Creating policies to stimulate innovation as part of national economic development requires a more in-depth understanding of the current trends, especially the role of science and technology (S&T) clusters. In this study, we use patent and publication data to identify key S&T clusters and leading countries. The lessons learned from their experiences offer valuable guidance for other nations striving for consistent progress in research and development.

Research objective. The study aims to assess how well innovation processes are organized in S&T clusters; to identify the factors and drivers influencing the development of these clusters in the global economy; and to determine the competitive advantages of the top countries in terms of patent applications and publication activity.

Data and methods. Using the cluster approach employed in the methodology of the Global Innovation Index, we conducted a comparative analysis of the annual data and indicators published in this index related to patent and publication activity.

Results. Our analysis has revealed 20 key fields in S&T clusters, the leading positions being occupied by medical, digital, and computer technologies, as well as the pharmaceutical industry. In terms of patent and publication activity, the top countries in the ranking of S&T clusters are the USA, Japan, Germany, and China. Although these countries maintained their leadership in the given period (2017-2021), all of them, except for China, demonstrated a decrease in their share in the indicators under consideration.

Conclusions. A country is included in the ranking of the Global Innovation Index of S&T clusters when it exhibits a high quality of fundamental and applied research, as evidenced by its levels of publication and patent activity. To establish successful clusters eligible for ranking, a country should primarily formulate policies aimed at improving the quality of research and development. These policies should also facilitate growth in the key performance indicators, such as the number of patent applications and publication activity.


Keywords


science and technology cluster, Global Innovation Index, ranking, patent, academic publication, publication activity, competitiveness

Full Text:

PDF

References


Alieksieiev, I., Kurylo, O., Horyslavets, P.& Poburko, O. (2022). Circular economy and sources of funding for scientific and technological clusters. Financial and credit activity-problems of theory and practice, 6(47), 77–87. https://doi.org/10.55643/fcaptp.6.47.2022.3917

Allen, J. A. (1966). Scientific innovation and industrial prosperity. London: Longman, 384.

Altenburg, T. & Meyer-Stamer, J. (1999) How to promote clusters: policy experiences from Latin America. World Development, 27(9), 1693–1713. https://doi.org/10.1016/S0305-750X(99)00081-9

Audretsch, D. B. (1995). Innovation and Industry Evolution. Cambridge MA: MIT Press, 224.

Audretsch, D. B.& Feldman, M. P. (1996). Innovative clusters and the industry life cycle. Review of industrial organization, 11, 253–273. https://doi.org/10.1007/BF00157670

Bergquist, K., Fink, C.& Raffo, J. (2017). Identifying and ranking the world’s largest clusters of inventive activity. In Dutta, S., Lanvin, B., Wunsch-Vincent, S. (Eds.). Global Innovation Index 2017: Innovation feeding the world (pp. 161–209). Retrieved from: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2017.pdf

Cabral, L. (2000). Introduction to industrial organization. Cambridge, MA: MIT Press, 354.

Cherkasova, T. P.& Ignatova, T. V. (2020). 21 Innovation and educational clusters as an alternative model of scientific and technical growth of the regional economy. In Popkova, E. G., Alpidovskaya, M. (Eds). Human and technological progress towards the socio-economic paradigm of the future (pp. 207–216). Berlin, Boston: De Gruyter. https://doi.org/10.1515/9783110692082-021

Church, J.& Ware, R. (2000). Industrial organization. A strategic approach. Boston: Irwin McGraw-Hill, 926.

Golçalves, C. J., Silva, L. C. S., Belisario, L. F. B.& Arruda Junior, L. M. (2023). Avaliação da estrutura de transferência de tecnologia em instituições científicas, tecnológicas e de inovações (ICTS) da região norte do Brasil. Revista de gestão e secretariado (Management and administrative professional review), 14(4), 4937–4951. https://doi.org/10.7769/gesec.v14i4.1960

Dutta, S., Lanvin, B.& Wunsch-Vincent, S. (Eds.). (2017). Global Innovation Index 2017: Innovation Feeding the World. Retrieved from: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2017.pdf

Dutta, S., Lanvin, B.& Wunsch-Vincent, S. (Eds.). (2018). Global Innovation Index 2018: Energizing the world with innovation. Retrieved from: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2018.pdf

Dutta, S., Lanvin, B.& Wunsch-Vincent, S. (Eds.). (2019). Global Innovation Index 2019: Creating Healthy Lives — The Future of Medical Innovation. Retrieved from: https://www.globalinnovationindex.org/userfiles/file/reportpdf/gii-full-report-2019.pdf

Dutta, S., Lanvin, B., Wunsch-Vincent, S. (Eds.). (2020). Global Innovation Index 2020: Who will finance innovation? Retrieved from: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2020.pdf

Dutta, S., Lanvin, B., León, L. R., Wunsch-Vincent, S. (Eds.). (2021). Global Innovation Index 2021: Tracking innovation through the COVID-19 crisis. Retrieved from: https://www.wipo.int/edocs/pubdocs/en/wipo_pub_gii_2021.pdf https://doi.org/10.34667/tind.44315

Dutta, S., Lanvin, B., León, L. R.& Wunsch-Vincent, S. (Eds.). (2022). Global Innovation Index 2022: What is the future of innovation driven growth? Retrieved from: https://www.globalinnovationindex.org/gii-2022-report# https://doi.org/10.34667/tind.46596

Harman, A. J. (1971). The international computer industry. Innovation and comparative advantage. Cambridge MA: Harvard University Press, 181.

Kheyfets, B.A., & Chernova, V.Yu. (2022). Impact of external and internal factors on China’s economic growth. R-Economy, 8(2), 94–105. doi: 10.15826/recon.2022.8.2.008

Karanina, E.V., & Karaulov, V.M. (2023). Differentiated approach to the diagnostics of economic security and resilience of Russian regions (case of the Volga Federal District). R-Economy, 9(1), 19–37. doi: 10.15826/recon.2023.9.1.002

Kochetkov , S., & Kochetkova , O. (2017). Model' innovacionnogo razvitija jekonomiki [The model of innovative development at the economy level]. Proceedings of Voronezh State University. Series: Economics and Management, 2, 19-24. Retrieved from: https://journals.vsu.ru/econ/article/view/9163

Kondratyev, N.D. (2002). Bol'shie cikly konjunktury i teorija predvidenija. Izbrannye Trudy [Large economic cycles and the theory of prediction: selected works]. Moscow: Publishing House “Ekonomika”, 767.

Mirziyoeva, S.S. (2019). Analiz opyta Uzbekistana po razrabotke strategij razvitija strany i regionov [Analysis of Uzbekistan’s experience in development of national and regional strategies]. Administrative Consulting, 3, 49-61. https://doi.org/10.22394/1726-1139-2019-3-49-61

Napolskikh, D. L. (2019). Substantiation of innovative scenario for regional development on the basis of clustering. In Soliman, Kh. S. (Ed.). Vision 2025: Education excellence and management of innovations through sustainable economic competitive advantage. Proceedings of the 34th international business information management association conference (IBIMA). Madrid, 1903–1911.

Petrou, A. (2014). Economic efficiency. In Michalos, A. C. (Ed.) Encyclopedia of quality of life and well-being research (1793–1794). Dordrecht: Springer. https://doi.org/10.1007/978-94-007-0753-5_818

Polterovich, V.M. (2009). Problema formirovanija nacional'noj innovacionnoj sistemy [The problem of formation of the national innovation system]. Jekonomika i matematicheskie metody, 2, 3-18.

Preissl, B. (2003). Innovation clusters: combining physical and virtual links. DIW discussion papers, 359. Berlin: Deutsches Institut für Wirtschaftsforschung (DIW). Retrieved from: https://www.econstor.eu/bitstream/10419/18119/1/dp359.pdf

Ricardo, D. (1955). Sochinenija: v 3-h tomah. T. 1. Nachala politicheskoj jekonomii i nalogovogo oblozhenija [Works: in 3 volumes. Vol. 1. Principles of Political Economy and Taxation]. Moscow: State Publishing House of Political Literature, 360.

Schmitz, H. (1995). Collective efficiency: growth path for small-scale industry. Journal of Development Studies, 31, 529–566. https://doi.org/10.1080/00220389508422377

Schumpeter, J. A. (1939). Business cycles: A theoretical, historical, and statistical analysis of the capitalist process. New York, Toronto, London: McGraw-Hill Book Company, 461.

Schumpeter, J. A. (1942). Capitalism, socialism and democracy. New York: Harper & Row, 381.

Surovitskaya, G., Grosheva, E., Malayeva, R., Omarova, A., Aigerim, N.& Karapetyan, I. (2021). The potential of scientific and educational centers as a tool for sustainable innovative development. Proceedings of the 16th European conference on innovation and entrepreneurship (ECIE 2021), Vol. 2, 1019–1026. https://doi.org/10.34190/EIE.21.180

Tiffin, S.& Bortagaray, I. (2000). Innovation clusters in Latin America. Paper presented at 4th International conference on technology policy and innovation, Curitiba, Brazil, August 28–31. Retrieved from: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=63d2e8c2d8c0441741b19d27382723d2f5c1d3db

Voyer, R. (1998). Knowledge-based industrial clustering: international comparisons. In de La Mothe, J., Paquet, G. (Eds), Local and Regional Systems of Innovation. Economics of Science, Technology and Innovation, 14 (81–110). Boston, MA: Springer. https://doi.org/10.1007/978-1-4615-5551-3_5




DOI: https://doi.org/10.15826/recon.2023.9.3.021

Copyright (c) 2023 Abdulaziz A. Abduvaliev, Abduvali A. Isadjanov

Сertificate of registration media Эл № ФС77-80764 от 28.04.2021
Online ISSN 2412-0731